Stotles is the agentic operating system for selling to government. With Stotles OS, your general purpose LLM becomes a procurement specific model purpose built from the ground up for winning government contracts.
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The full business to government operating system for humans and agents to work in lock and step.
Stotles pulls notices, awards, frameworks, and published buyer intent from 100+ procurement portals into millions of verified data points, cleaned, structured, and updated every two hours, turning scattered records into a single, queryable source.
Previous submissions, case studies, product information, certifications, policies and feedback. Every agents action stands on your firm's whole knowledge base made ready for the task at hand. Agnostic repositories hold knowledge but don’t have an opinion on how it will be used. Stotles does.
Stotles is built for the purpose of supporting public sector selling motions. So the OS has that layer baked in. Agents and humans can use them across discovery, pre-engagement, qualification and bidding.
Stotles is model-agnostic, picking the best model for each task. The agentic conductor converts general-purpose LLMs into procurement-specific agents. On their own LLMs are insufficient at all the tasks involved selling to the public sector.
Connector to the tools you already use. MCPs let agents use Stotles as a tool. Integrations pull data in and push it back out. APIs connect enterprise-grade systems. Stotles OS can deploy inside your ecosystem, not just alongside it.
The human side of the OS. A purpose-built interface your team works in, familiar from the first session, while agents do the heavy lifting underneath. People stay in control at every turn, not handed a black box.
General LLMs are trained on the internet. Stotles is built on millions of verified UK procurement data points, cleaned, structured, and updated every two hours.
Stotles deduplicates every signal across 100+ overlapping portals and structures millions of raw records into a single queryable knowledge base.
Object-relational mapping connects every data stream to a government buyer. Every notice, award, framework, spend item, and intent document stitches to a buyer profile.
AI scoring layers keyword searches, competitor and partner watchlists, and signal-level relevance into a single rank, so every team's feed arrives already ordered against their patch.
Stotles is built to take every signal from sourcing through to bid submission. Single-click workflows route leads to sellers and tenders to bid teams without switching tools.
Stotles AI accelerates the discovery, qualification, and drafting of public sector bids, helping commercial teams pursue more opportunities, qualify faster, and bid with confidence.
Describe what you're looking for in plain English. Stotles translates your notice or buyer-intent document query into mathematical representations of relevance, then ranks results by semantic and contextual similarity. Level up your search for opportunities by going beyond simple keyword matching.
Query any buyer profile using Stotles AI. Our models search that buyer's notices, awards, and documents to return sourced answers giving you relevant intel buried across thousands of procurement data points.
Save a notice, and then our models analyse the fit for your business based on buyer type, requirements, and previous wins. Stotles AI then surfaces the opportunities closest to your saved notice.
Government buying intent is buried across thousands of pages in annual reports, board meetings, and strategy documents. Stotles AI reads everyone, finds the buying signal and cites the exact page.
Stotles AI reads the tender pack cover to cover, scoring viability, flagging the risks, and citing every requirement back to the source. Know whether a tender is a good fit and assess your win probability in one click.
Stotles AI carries 9 million procurement data points wherever it goes: in our platform, or piped into the LLM tools you already use.
The latest from Stotles on public sector procurement, strategy, and winning government work.
