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all right well again good morning good afternoon welcome thank you for joining us today at our uh webinar with community brands and scale hub we're really excited my name's amanda safter i'm the managing director of global events and member services here at iop and let me go ahead and introduce iop ceo debbie hamill thank you amanda thanks to all of you for joining us today again we have the privilege of bringing you information you can use right now and during these challenging times more than ever before we know that flexibility is critical to success so today kendra foss product manager at community brands and dan dubner cto and co-founder of scale hub will take us through how community brands was able to overcome their greatest challenge by implementing scale hubs crowdsourcing solutions please feel free to ask questions using the chatter q a feature on your screen and should you wish to replay today's program or share with a colleague the recording of the webinar will be available in iop's knowledge center within 24 hours thank you and now on to today's program dan the floor is yours debbie thank you welcome all today we are going to speak about community brands and how community brands cut down the document verification from two weeks to less than two days and save 30 percent year over year together with me today kendra foss from community brand and i'm dan dubiner the cto of skillhub our agenda today we're going to have introduction to community brands and then discuss some pain points the solution we provided sss and the major results of our solution later on we will move to a comparison between sss financial aid and tax financial day two entities within community brands and from that we will move forward to what's next for community brands kendra for us is with us today and she will discuss community brands she is a product manager for financial aid products which work for your experience in education software um joined community brands in 2018 focused on market expansion and continued revenue growth she enjoys all of the seasons even the long winters in saint paul minnesota with her husband and two fantastic kids kendra thank you for joining us today um the floor is yours thank you dan yes it's it's already very cold here in minnesota so you can't see but i have a blanket over my legs it's already cold it's not wondering yet um thank you for uh allowing me to come and present to you all today um we're here at community brands an organization that's focused on helping passionate people and very purpose-driven organizations um similar to iaop make a difference in and how they work with their communities the way we do that here at community brands is through four different um verticals um so we have software solutions that serve private k-12 here in the united states um public and private primary and secondary education in the uk we have solutions for non-profits so that kind of runs the gamut of fundraising tools and event management um we have solutions for associations just like aaop thank you for hosting us today um and then um also we have solutions for churches and all of these software kind of are the back end kind of nitty gritty work um that's not you know the the mission of these organizations but it's how they get their job done um that's why i jumped on to community brands i'm a software nerd but i do enjoy um feeling like i'm having a difference in in all of these different areas so what we're focusing on today and we're really i've seen the biggest impact to the scale hub services is here in our k-12 vertical so we have nine different brands within the um us k-12 market um the two that we're really going to focus on today are tads tabs has a variety of tools for our private schools but they have a specific a financial aid solution and then the other one is our school and student services which we call sss so as you hear me say sss i'm referring to school and student services and they are also a financial aid provider really where we've where we've seen these two brands um what's interesting about this whole picture here is that um community brands kind of known to have very like uh software so there's they've kind of um picked up different brands along the way as the company has continued to grow and some of these products do the same thing some of these brands are essentially the same type of product and so tads financial aid sss they both process financial aid applications um ravenna and tad's admissions are admissions applications senior systems in residence their student information systems so it's not unusual for our company community brands to have two brands that do the same business but what we're going to talk through today is really some vast differences and disparities between how tad's financial aid is operating and how sss is able to operate so it it came about in a very unusual way but scalab is right at the center of it so it's pretty interesting stuff um really where our strength is and really what our market is um for what private k-12 financial aid is um is just that we have customers schools that are charging tuition for attendance and they have families wishing to enroll wishing to um you know send their kid to that school and oftentimes the family will need help with being able to afford the private education and these schools have money they have a budget or they have a way of identifying like a sliding scale tuition there's a there's a bunch of different models but at the end of the day they have a process in place for identifying families that need help in order to enroll in the school so that's help with the tuition specifically so it comes in the form of a grant in the most basic sense or as a discount on tuition the cycle is pretty um basic and and consistent it's fascinating that covet 19 has completely disrupted our our normal cycle um but this is what it looked like until covet 19. um schools will have that money to distribute they'll be seeking enrollment they'll be seeking um people to um apply to their school um the families that are applying will need help with um the tuition so they'll apply for financial aid um they'll fill out they'll do that by filling out an online application um they they then have to upload documents and this is where um sss and test financial aid come in is with this online application and then with the platform for them to upload those documents scalehub then squeezes in here to us our cycle and um picks up and verifies those documents we have a stolen saying it as one of the presidents um trust but verify trust what the family is telling us about their financial situation but verify it make sure that they're uh essentially telling the truth or that you know we might even find and often times we do find that they need more help than they think they do with submitting tax documentation submitting pay stubs etc so we always verify their online application with documentation to help identify how much money that family may need in order to afford the private education that they're seeking so schools then review the application that we're hosting um and then they notify the families of their aid package so it's pretty basic business cycle it's been really consistent for years and then tobin but we're not going to get into that today if you have questions we can get into it later um what i basically just walked through are basically the three objectives of any financial aid solution that's out there have a way to understand the family's financial situation so an online application that asks the right questions about where the family is making their money how they're spending their money where they have investments verify it with the appropriate documentation and then have some way of helping the schools understand or these organizations understand how much money that family needs so we talk about that in a sense of having a need calculation or a formula for identifying aid um as long as we get these three things right there's really nothing stopping us from growing in the market and as long as we eliminate pain points um within these three areas we're we're really doing okay um so what's interesting is that for both sss and for tad's financial aid the pain points have been exclusively around that second option there where we know that we have to verify the application with documentation but how to do that well has been a consistent and long-standing pain point um and before we actually get into what those look like i'm going to toss it over to dan real quick yeah so here we have actually the first question for the crowd what are the pain pain points that you got you all having and we would like to discuss them with you so please answer the question and while we're getting your uh answers kendra please yeah um i actually just saw this poll for the first time about a half hour ago and i was like yes that's yes that was that that was our pain point that was our pain point that's our pain point so um hopefully these uh make sense and resonate a little bit but um for sss i'm going to talk about both um sss and and tad's financial aid pain points specific to um really being able to verify the application with document verification um so for sss four years ago um we were using we were outsourcing the verification process um and the the vendor was doing it manually so they were um like looking opening up the document and manually keying it all in this was taking 10 to 12 business days just to verify a document type in a document year um within our both of our solutions for financial aid we're very specific about our document requirements so we'll say we need your 2018 1040 tax return and um if somebody uploads a picture of their cat then we have to reject that as not fulfilling the document requirement so um what was crazy is that it was taking 10 to 12 business days for us to know for certain that the family had uploaded a 2018 10 40 tax return into the spot that we had asked them to do it um so that was the first like significant pain point it was like it cannot be that difficult to know if they are actually giving us the document that we're asking for um second thing that really stood out is that our accuracy dipped below 70 i'm gonna dig into this a little bit more later with as far as the major benefits go um but this has a trickle down effect if the accuracy of the verification is incorrect because then it doesn't line up with what the parent entered and then the parent and the school have a ton of questions and then our operational costs just kind of go through the roof we just have we just see all sorts of um like phone calls hey why why does this say this and that's not what i uploaded and that's not what i said and you know you just get confusion um so when accuracy dips that low it just has such a huge impact all the way down the line the last one there is really something that shocked me is that we were allowing this vendor to open up the entire document and have access to if you're in the u.s you know how much personally identifiable information is on your tax return and they can see all of it in one place and obviously we had all of the tools in place to make sure that those that was secure and that it wasn't going to go anywhere and that there were repercussions if it did but even that the whole document was being uploaded and looked at in one piece really was too much exposure to that really sensitive pii data um have we seen the results of the survey yet i think we're going to get them shortly yeah and here we see the results of of the questions um okay sorry i'm like looking at my other screen so we can see that for the most part you know uh we have a common problem of seasonal spikes and this is very bold uh and very clear and this is something that we're experiencing of course with this project at sss uh that we have different uh seasons and and spikes throughout the process okay this is great this is great information um okay i'm gonna speak more to the seasonality of our process as well um in a minute so thank you all for responding it's really helpful um what's fascinating is that so this was a problem for sss four years ago um these are our pain points for tads um currently um they also currently on the tabs financial aid system we do all document verification manually um we hire interns in our busy season we hire temp workers we buy everybody lunch and we still have these same pain points um it doesn't take us as long to identify that document type or that document year um but to get any additional information from that document you know see how much what the agi is for that family or what their deductions are to get any of that information takes up to six weeks which is just a really long time even though we seasonally hire to try to cope with the volume um and then we're still on the tad side doing the same thing that our vendor was over on sss which is opening up the entire document so again we have all of the right security measures in place to make sure that that doc that documentation doesn't leave our our spot our space um but it's still a concern overall with how much is readily available even to our employees um so the way that we've done solve for those pain points um and i'm going to speak first to and i'm going to let dan speak first to how we've solved it for sss so roughly four years ago na or sss worked with scalehub to really focus in on this problem of document verification and the solution that we put in place was through the scale hub services and how it all works is fascinating to me um but i'm gonna let dan explain it thank you kendra and before we start here is the second question uh about the type of the documents uh you're processing so now we can see the second survey question that is about the document type and we will talk about that just right after the technical part um that i'm going to speak about so at scale hub the way it works for us we get different type of documents they can be semi-structured they can be unstructured and structured of course so if you think about 1040 for example this is a structured document if you think about a w2 it has a lot of formats so sometimes it can be regarded as semi-structured the way it works for us is that we get a document this is what you can see on the left part of the image we get documents either by our portal or directly from our archive system or any type of system that you're having in place it all goes to our classifier our mailroom solution for tax documents we classify the tax document type for example 1040 and then because we know the exact layout and we know the exact form we have pre-trained our system to crop and create what we call a snippet and we have a lot of snippets and we send all these snippets to the crowdsourcing marketplace where a lot of people more than 2 million people are registered and do for us the data transcribing and correction on the next slide you can see that we have 1040 example and you can see that we have amount and another amount so we actually cut a stack of amounts and provide this to a user out of context so the user doesn't really know what forms it came from and what is our solution actually it came from it can be from 10 14 can be from 1065 1099 any type of form that is coming handwriting or machine print you just create the snippets and by the snippet type like you can see here for numeric we provide the instructions for our users and they do the keying of the data and sometimes they can be of course mistakes and in the next slide we can see how we deal with that so the way it works for us is that we start with two users sometimes uh putting some ocr and ai technology and if we have some discrepancies between the first two users we bring the third user as you can see here the first and second user had a discrepancy that was resolved using the third user this is how we provide the accuracy to the level that our customers are expecting and of course there is a lot of other algorithms that guarantee uh that the security content is validated in a way that we also validate the users over time and the behavior to guarantee very high level of accuracy let's see the results of the uh of the survey just before we go to the next part and we can see that h many of our uh audience participants have combination of structured and unstructured and of course some also images and videos as well uh images and anything that is visual it's actually a sweet spot for crowdsourcing because crowdsourcing can very easily answer questions about uh videos as well and this is something that can be very interesting to explore further let's go forward thanks dan those are really interesting survey results i know dan and i have had tons of conversations about the imaging and video like capacity of the crowd um that'll be another session sometime so the major results for us with these boring tax forms but that have very uh ex like specific data that we need to get is that it fundamentally has changed our business on sss we've grown um honestly we've grown i think it's a 22 percent um year over year since implementing this solution because it allowed us to scale and no one in our market no one in k-12 financial aid can verify as quickly as we can um most of our competitors are around that two-week mark um our you know taz financial aid you'll see in a minute has some other additional struggles but it no one can come close to us with exactly how how this solution has helped us in our business and enabled us to grow our footprint in our market um the major benefits overall were that we saw an immediate 30 year-over-year savings in our operating costs um as i was describing it earlier some of the pain points were just the number of calls that we were getting in because of the inaccurate data we saw support volume decrease they were able to take on other projects they were able to do other things we were able to make provide more efficiencies in the other parts of our business because they were no longer chasing down a document or chasing down like uploading a correct document or trying to figure out why it was verified incorrectly or why it still wasn't verified so all of those things helped contribute to just a really a faster turnaround time and a dramatic increase in savings for how we operate as a financial aid processing solution um the benefit overall to our customers was that they are more now much more able and much more quickly able to identify how much money they can and should give to these families that are applying for aid every day that it takes for us to verify a document is a delay in that school being able to tell that family if they should enroll and how much aid they're going to get if they do and those are big decisions for families the reason i keep kind of referring to cobit 19 is that we've seen just a huge spike in the number of financial aid applications just over the summer families that have never applied for aid before are applying now because of the the way the economy is shifted and it's it's just changing how schools have to figure out okay can we afford bringing this family on and do we have the money to really help them stay enrolled in our school um so as we gain efficiencies in document verification the trickle-down effect is student access to education private education so it was a huge win for us overall and we've continued to see it improve our business and our um this is overall our options for helping our schools um that's on sss what we're going to do now is i want to do a little bit of comparison between what the solution on sss through scalehub has helped us with where taz financial aid does not have the this these tools through scalehub that does not have the integration it does not have the crowd um backing it up um and we're gonna i think throw in is this where we're doing the third yeah the third question what kind of solutions are you currently using uh for processing your data and we will discuss the answers right after this topic yeah so tell us how you're doing it i'm really interested to see um for for sss obviously we're using scalehub and for chad's financial aid it's really that fourth option there the manual data entry and verification um so the way that this has looked um over the years is that um with hiring all of these people and and bringing all these people into tad's financial aid um we kind of run around in the first quarter of any year it doesn't matter if it's q1 of 2020 or 2021 or 2817 just consistently in q1 is when we're the busiest and tad's folks kind of run around like chickens with their heads cut off we all just are so busy and there's just it feels like there's so much work and it's never gonna get done um because of that even just office vibe there was always this perception that tads was doing a lot more volume had more applications coming in obviously had more documents coming in there was just a lot more that was happening on tags than on sss well we ran the numbers because they were like kendra do we really need two solutions that do the same thing so i started digging into just really how these two systems were operating it was fascinating because sss obviously is doing double the volume in our busiest month in february then um than tads has ever done and i took all this information all the way back and it's consistent sss has always pulled in more documents um for verifying against the application than tabs has but then if you look just like at the office uh it seems like ted's would have more volume um that's the volume piece speed uh speed is fascinating um with uh with the crowd and i don't know i still don't quite understand how this works but because there's two million people taking in these snippets of data from scalehub they're able to turn around that document verification in less than two days and it doesn't matter what volume we throw at them it stays at less than two days on tads as the applications come in and as more documents come in the the wait time and the verification time just keeps growing another view of this here you can see the sss is the days and verifications like that flat line at the bottom and just nice and steady everyone in february is just drinking coffee answering calls everything's fine and chad's is crazy they're just a little crazy um because we're having to do all this really manual work to verify and process these documents so it's you can see there's these peaks and it's just caused it causes that unnecessary uh tropical down effect where the school is waiting to know okay does the family has the family done everything that they need to do to get money and we're like yeah and they're like okay well how much money should i give them and we're like please hold um while we go through this up to 67 days of verifying what they've submitted um to make sure that we can give the school a good answer on how much money that family needs um so that trickle down effect is is really negatively impacting our tads families and our tads schools um so again just to highlight where our pain points were and this is obviously seasonal right like in the middle of the summer except for this summer the summer was different the tax rate the tax return dates were different um the summer was different but usually in the summer we're like dead there's like zero documents coming in um but seasonally we have we have this problem where every q1 you really have to ramp up and with the scale hub services it we're ramped we're scaling we we don't have to do anything to get there or to meet that that level of demand uh it's just there it's just it's just handled um dan did you want to add anything to that or say anything i will answer some of the questions in regards to the scaling when we get to the q a part but yeah i think the scaling is very very clear here and we can see what happens uh every february every year yes yes of course um perfect so real quick just as a recap of the pain points that sss had um central business days really bad accuracy all of that sensitive data exposed dan showed how all of that sensitive data is completely it's like taken out of context you know you just like remove it from the form that it's in so it's just the snippet that's seen um and so with the scale of services we've been able to get down to less than two days our accuracy is at 99 when we get a call from a school that says that verification's wrong we're like what it's so few and far between that like we we have our tools in place and our measures and some tools from scalehub to help us do that quality assurance and make sure that things are moving and that that accuracy stays so high but it's still kind of now it's shocking to get a call that it's not verified correctly um and we have uh just so much more benefit to our our staff internally to our schools and to our families knowing that their very sensitive information is much more secure not being exposed to two million people it is very um very quickly and quietly being like um held back um just through that really great snippet functionality um so i am going to talk a little bit about what's next for community brands because you guys are probably like well why isn't tabs doing this yet um but before i do that do we want to answer any of these questions let's see the answer let's see also the um the answers and we can see here that manual data entry and verification is part of what uh some of the audience is experiencing still in usage of outsourcing services uh from bpos awesome it's interesting because sss was also uh you know using a bpo to to do it but it was still manual the way that the bpo was doing it was still manual so it's just interesting that the the way the scale of crowd is built that it um it doesn't it's i don't know it's disgusting i'll let dan speak to it i think it's important to note here that the scalab scalability is a managed service it's not a bpo it's not an outsourcer it's a pure managed service that integrates to the existing solution that you're having at sss and provide you with the services you needed so we are integrating to existing solutions in order to support the organizations to focus on scaling focus on the business rather on these technical problems that you that you raised operations problems as well yeah dan i'll ask you this question from kaphil and he's just wondering whether 100 crowdsourcing on the hindsight can guarantee the service level agreement um i can speak from my experience on sss that it it can it absolutely can um but i'll let you speak to that maybe with another example from um within your portfolio so with our customers we provide them our documents faster than any sla that we agreed up upon so for example we have a customer that we have strict sla of four hours they get turnaround time normally on average within 30 minutes so all the slas so far we have met on time also with you for almost four years now we've had all the slas ahead of time uh with more than 99 accuracy and much less than the 24 hours sometimes um if it's automatic and there is a very limited amount of data to be killed in the document can be processed and the parents can can get a response probably within minutes maybe some limited hours so if we can guarantee dsla yes we can guarantee in fact we are utilizing different marketplaces so even if there is a problem with in one marketplace that's not a problem scalab has a patent-pending application for a load balancer between marketplaces in order to guarantee that we always have people we always can meet any sla and rapidly scale our system so one of the questions we had was about scaling yes we can scale our system very fast because they're always users they're always people that can uh work for us and do the uh the work uh together with us so we can scale very fast our hardware is on aws cloud scales very fast and and answer our needs for the slas yeah maybe we can talk about some of the other questions do you would you like to talk about what's next and we go to the questions or uh how do you prefer i can i can finish off like what what we're doing here at community brands um and then we can go into further questions but definitely once um i finished up this analysis and and dan and his team really helped me like dig into you know the differences between what was you know what was really happening with um our documents on the sss side and then it was like digging through a dirty basement trying to find all of this stuff on chats um but what we're really after now after doing all this analysis after seeing such dramatic differences in um just that second objective trust but verify please verify um is that we have decided to move all of our tads financial aid customers onto the sss platform so um i've been heads down and super busy this fall because we're launching a pilot program um as i mentioned there's these there's differing calculations or methodologies for identifying need and so when i'm talking about moving tabs financial aid it's really i'm just moving that formula for how how they do the math once they have all the information to determine how much money that family needs in order to afford the private education that they're after so i'm moving that tads um i say me we community brands are moving that tads formula into the sss platform and the major driver for this was the um that that we have this integration with scale lab that they're able to so quickly take our uploaded documents they're able to verify it so quickly and with so much accuracy that we don't have to then hire all of these people um it's just on a seasonal basis and it's not um you know in some sense you could almost say it's still manual because it's still people sitting at a desk or sitting on their phone typing in a number it's still a manual so people but the way that it's broken out and then the way the crowd behaves is so different than having a bunch of temp workers in your office pulling up the one document and sitting there keying and all that data so we're excited about the scalability options that this will give us having two kind of proprietary formulas for identifying need on one platform utilizing the scale hub services where we don't have to worry about scaling up that document verification it just scales for us um will allow us to scale up the other pieces of our business um more efficiently and more quickly um really the hope is that once we get everything on one platform and have this document thing taken care of for tads um we'll be able to just break into different markets and and provide um aid processing applications for beyond the private k-12 market so um we're super excited about it um it was it was an idea that i floated out there uh this time last year um and it's taken a year to kind of come to fruition but we're ready to launch this pilot program so it's super exciting just to see how the scale of technology has helped us at community brands improve our technology and as an end result we're really helping make sure that there's access to education so for me personally i think that's great so that's pretty much where we're at and that's what our presentation is so i know we have a few more questions and yeah um yeah let's go over the questions so uh kenner one question for you if you can share with us uh anything about the return of investment when it comes to this project um and when that happened if you can share with us yeah what's interesting is that sss was originally owned by a non-profit or by an association um they built it up as a service to their members within their association and so their goal had always been outsourced they'd always they just everything that they built into their tool was very outsource focused because they weren't going to hire as an association all of those um all of those people to do the work that tabs chad's was like well we'll just hire people um so the the roi definitely was most like the at first you could say it was just a switch and fender um where really we went from one outsourcing vendor to a different one um but as i mentioned earlier we also saw those huge like decreases in support volume school satisfaction went up so when we were doing the roi analysis it really was important that we maintain a high level of retention with our customer base and make sure that our customers are happy and that they want to stick with our services and so year over year not only is our growth increase new new customers coming on board but we've been maintaining a 92 retention rate which is kind of unheard of in our market um and and that has been a huge um a huge return on our investment for really getting the the scale up services in place and seeing how that has dramatically improved our our customers experience with our product excellent and we have a question from suzanne about how it the scaling really work and whether it's really that simple so the answer is yes it's very simple it doesn't matter what quantity of fields and documents you're sending us we can do tens of thousands and hundreds of thousands doesn't matter we can process just spinning more machines having our engines in place having users waiting for us and then we can process much more so it's pure cloud native solution that can scale up and down without any constraints uh with what we have experienced so far and this leads us to the next question about the crowdsourcing um how we deal with the rapid increase we simply as we mentioned before automatically add more machines the people are available in our marketplaces more than 2 million people so we are dealing very fast with with this coffee 19 is with us still and i think it's important to mention here that we definitely have seen no problem at all to process in fact during kobe 19 we got some of our customers pushing more work to our into our system and we were able to bring them uh the data faster and the reason why we can bring the data faster is because the more work comes into our system the more people telling other people hey there is work around and they're all joining to the marketplace and work so we actually get faster uh participation of our crowd users on the marketplace which leads eventually to a faster processing the more work the faster we have users coming in and staying with us and working with us which means that during the carving 19 we're able actually to decrease the the time that we have for the processing of the documents in our system and even improve our sla during this period of course at no time we had any uh disruption of our service um everything was super fast and accurate and actually we really had a lot of people working from home and we got a lot of comments that the people are very happy uh for working with us during these times um i'll say from from the from my side on the cover 19 question what's been interesting in what we're looking at next in really exploring more with scalehub is that our trust but verify model has always been off of tax documents and that does not give you an accurate today picture of what is happening in that family's financial situation so if the family just this year has been experiencing unemployment or were furloughed and that's dramatically changing their financial situation and their options for enrolling at a private school the tax documents aren't going to tell us that they haven't filed 2020 taxes yet they probably won't have to file them until next june like that is old data at that point and so what we're exploring and what we're having we're looking into is um pushing more forms to scale up to get us um pay stubs or furlough letters verified or just all of those options for quickly seeing the more like today um financial documents um that aren't you know these standard forms like a 1040. that was kind of what i was alluding to with how much it's changing our business is that it's always been a best practice to verify off of tax returns and now we're needing to find scalable ways quicker ways to verify what's happening in that family's financials like right now today so that the school can make a really good decision on changing their aid package or offering them tuition aid this year as they're going into this academic year um so it is really interesting how kovit is is changing our business giving scale up more business moving everybody's business around and [Music] yeah let's see let's see the next question the next question is um about the mechanisms that we're having about maintaining the quality when we're utilizing public cloud so in fact when we utilize probably cloud it's not that we just publish a task in the in the crowd we first of course publish a task when we ask people to type in the data and then we can compare it and sometimes we bring a third person but there is a lot of algorithms in between on how we match the people so if we have an ub user we usually match it with a more experienced user so we can actually test the new user that comes in and then when it comes to a third user we bring another strong user so we can have a better control on the majority decision and sometimes even three people can disagree on the answer so in that case we even bring what we call a supervisor a supervisor can be someone in-house or it can be someone also from the public cloud just with better skill set different territory location we can actually limit and decide what is the skill set that we are requiring from our users uh to join us and do the work and also we can limit territories language uh restrictions and so on and so on so this is how we can guarantee the quality because we have some different levels that we qualify the data and also our users on top of that we have some other mechanisms to block certain users and reject the work if we see spammers and they're very often spammers coming in trying to key in some false data we find them out and we block them on our system and then they complain that they can't work on the system of course it can work on our system if you spend our system with with the wrong values so we have different mechanisms within our um crowdsourcing uh system to guarantee that the data that we provide our customers is very accurate for the different uh problems that we that we are seeing um there is one question about the data privacy and the security requirements so first let me share that uh scale up has eso and is hipaa compliant as well which means we are really taking care of everything related to data privacy and security when it comes to data privacy as we could see from the example we put a lot of efforts to guarantee that we can crop the snippet in the right place even if the image has been shifted a little bit or rotated we have some computer vision related technologies to position the image in the way that we can extract the right location for the snippets we can also do it with with semi structure type of documents and unstructured using some nlp concepts that we are running in nlp engines and then we can cut what we call dynamic snippets this is something that requires of course some more setup but when it comes to forms and we know the exact form the exact location it's pretty much easy to cut the snippet on the right location create a stack of snippets from the same type and give it to the users this is very secure solution no one can go in and see the full context these are completely different systems in order to guarantee full isolation between the two systems and this is what we provide um sss with our solution no chance that someone can see any uh data coming from the from the images and as you mentioned kendra the pii the personal identity information is not shared with anyone no one in scale up or with sss can see it and then of course we can guarantee even higher level of data privacy because also the people that do the manual work they actually not get exposed to that and this gives the uh the privacy level that you need i sleep a lot better at night because of that but that much information we have on these families it's just such a it's such a nice thing to know that all of that data is so secure and we have one question about uh head up for the process so it vary it depends on the type of the documents we're having so if we have forms this is pretty easy it's a short setup something that we can come up with a solution sometimes just in couple of days and we are good to go and of course we engage the crowd on a catalogue of fields that we already predefined in our system and this can can wrap up very fast and we can have a solution very fast when it comes to more complex scenarios with unstructured documents where we need to do some dynamic snippeting this is where some more professional services and setup is required because of course this is a unique scenario that we need to come up with a solution that guarantee the data privacy and this is something very important for us this is why we need to do some more tests we also have sometimes some restrictions for territory for example because of a government contract related project and this of course requires also some testing to make sure that we have enough users within that territory territory it could be a specific state entire land like the united states or europe in order to be complied with gdpr for example this is something that we can do as part of our setup but it takes more time in order to test the scenario and making sure solid vary of course between project to project and when it comes to forms you can bet that it's very fast and you can see whenever you tell us to add another field or there is a new form coming from the government and u-1040 that is got chained got changed almost every year in the past couple of years we also amended that pretty fast without any uh problem on your end to get you the data that you needed yeah i'll say from my experience working with scalehub on this specifically on the process and new forms have taken like maybe two weeks um and it all does depend as stan mentioned on that the complexity of the form and whether or not it's a like a standard form it's always going to look like that or whether it's you know something that like a w-2 can kind of take on different forms but has standard boxes um and then we you know i i just asked our project manager the other day if i added a bunch more fields to a form that we already verified but wanted more fields verified off the forum he was like i'll just go today and i was like yes so yeah it's pretty great that's how it works and the last question we can see here um is a question about the private crowd so the private card is something that we can engage together with the public cloud private cloud means that you bring your own people having a username and a password and you log into our system and similar to the public cloud you just have your own ui and interface where you can do the specific fields some of the fields are very sensitive for example social security number maybe we don't want to expose it to the public cloud maybe we want to scramble the field before we uh provide it to the public cloud so there are different options how to deal with that but the combination of private and public is something that we can do we can narrate to the field level uh to a page type any type of requirements that come from our customers we can maneuver between private cloud and public and have public start and then move to the private or the other way around start with the private and some other things come from the public uh this all works for us in our system yeah we in another side of our business um within k12 we have an admission solution and um some of those forms are um submitted you know just by being mailed in um so we've been talking a little bit about how to maybe pursue a private crowd to verify those documents and get them um you know looked at you know they're just sort of nuanced and weird but um that has been one of the ways that community brands has been thinking about utilizing the private crowd um there's probably a lot of other better use cases and scenarios for how those two could play together um but for our purposes with these financial documents on the financial aid applications the public crowd has really given us everything that we've needed in order to get the job done well so great so i think we answered most of the ques all the questions actually um and if there are no more questions i would like to thank you very much uh kendra for uh for joining and i think we will move it back to um davina monday yes thank you so much this webinar was fantastic really great information um just to reiterate we have recorded this it will be available in about 24 hours um both on our website and you'll receive it in your email as well and um there'll be a survey after the close of the webinar but that is it thank you so much for joining today thank you dan thank you kendra look forward to working with you continue our partnership and we'll talk soon thank you everybody very much have a great day bye