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GovDash is a software program as a service (SaaS) platform that leverages synthetic intelligence to streamline your complete enterprise growth lifecycle for presidency contracting firms. GovDash gives every part wanted to assist groups win extra contracts from figuring out alternatives, guiding by way of the seize course of, constructing compliance matrices, annotating outlines, writing proposals earlier than delivering the ultimate product right into a Microsoft Phrase doc. Contractors can go from discovering a chance to operating compliance and producing a high-quality proposal in a matter of days.
In keeping with Sean Doherty, CEO and co-founder of GovDash, authorities contracting companies sometimes depend on a “seize workforce” to establish alternatives then develop potential options. Historically, it takes weeks to consolidate info and even longer for proposals groups to then create a proposal. With the GovDash platform, proposal managers can make the most of its built-in AI assistant to get the mandatory information into the platform, which then incorporates the information because it generates the proposal. Moreover, GovDash’s Phrase Assistant can create graphics to assist the narrative, doubtlessly saving hundreds of {dollars} in comparison with hiring third celebration designers.
Enhancing compliant paperwork and proposals with Azure OpenAI
GovDash is constructed on the Azure OpenAI Service, leveraging its superior capabilities to optimize operations. On the inception of their Optical Character Recognition (OCR) pipeline, GovDash employed Azure Doc Intelligence to extract ground-truth textual content from PDF paperwork. This then undergoes a collection of automated prompts to wash and rework it right into a usable format.
Spanning a number of US areas, the GovDash platform makes use of Azure’s OpenAI service and features a customized load balancer to handle price limits and distribute workload successfully. This infrastructure has resulted in a big discount in error charges and latency in comparison with the OpenAI first-party API.
GovDash’s system integrates quite a few chained prompts to generate detailed outlines and compliance matrices, that are subsequently fed into a complicated Retrieval-Augmented Era (RAG) content material technology circulate. This course of manages hundreds of thousands of enter and output tokens per proposal processing a whole lot of hundreds of thousands of tokens each day. This structure empowers GovDash to ship extremely detailed and compliant proposals, enhancing service supply to authorities contractors.
Keep away from fashionable options by constructing for long-term use instances
In comparison with different firms creating related options, Doherty believes the constructive reception to their product comes all the way down to their means to go deep into the federal government contracting workflow by leveraging fashions and information.
“Different firms which have tried to do that, they’re extra like prompting engines the place they’ll say to their clients: ‘Hey, exit and discover these directions right here, copy after which paste them in’ after which the product will write one thing for you,” Doherty explains. “GovDash is extra like an worker. It takes the solicitation and does the heavy lifting up entrance then checks in along with your workforce in any respect essential factors. We’ve achieved some work to have the ability to get this to work.”
As with every good thought on the market, it took time to plan and create the GovDash. Based alongside Timothy Goltser and Curtis Mason, each of whom are board members of GovDash, Doherty and firm started their founder journey by presenting concepts to family and friends who work within the authorities contracting trade.
“Various our household pals are federal contractors, primarily within the IT companies area and, mainly, we went to them pitching concepts they usually they usually virtually shook us and stated: ‘No, hear, the primary drawback that we now have is our means to get compliant and compelling proposals out the door with restricted sources,’” Doherty tells Microsoft for Startups. “Not solely as a result of there’s loads that goes into that course of, so it’s very tedious, however as a result of it immediately limits the quantity of income that they’ll usher in.”
As keen as persons are to capitalize on the AI craze, Doherty advises founders to deal with constructing merchandise in areas the place the workflows are so sophisticated that fashions alone can’t do them. This method is especially essential for aspiring entrepreneurs who purpose for long-term success reasonably than short-term positive factors.
“It’s just like the Web gold rush; everybody’s making an attempt to get in and toss something on the wall,” Doherty says. “We had a really strict set of standards for what we did right here. And since we didn’t wish to go down the trail of constructing one thing and having it blown up as fashions obtained higher.”
Doherty elaborates additional, saying: “I’ve seen lots of pals from Y-Combinator as effectively, the place they constructed one thing that’s fixing an issue within the brief time period. However for those who extrapolate out with fashions changing into a extra performant, is that also a use case?”
Microsoft for Startups Founders Hub members obtain Azure cloud credit that can be utilized in direction of quite a lot of Azure companies, together with Azure OpenAI Service, in addition to knowledgeable advisory from the workforce at Microsoft to construct and deploy their options. Founders Hub is open to all startups and takes simply minutes to use – join as we speak.
