How Govmates Transformed a Manual Platform into an AI-Powered Matchmaking Engine

Pragma Apps embedded five agentic AI features into Govmates’ existing product — automating profile enrichment, unlocking natural language search, and giving admins instant intelligence across their entire platform.

Client

Govmates

Domain

Government Contracting & B2G Matchmaking

Engagement

May 2025

Products

PDF Extraction · URL Extraction · AI Search · Ask AI · Profile Improvement

5

AI features designed, built & delivered

5x

Faster profile enrichment vs. manual entry

~0

Manual data re-entry required after launch

Instant

Operational answers that once required custom reports

Incomplete Data and Manual Workflows Were Limiting Matchmaking Quality

Govmates connects small businesses with government buyers at procurement events and matchmaking conferences. But the quality of every match depends entirely on the quality of the underlying profile data — and that data had a serious problem.

Profiles Were Routinely Incomplete

Hundreds of organization profiles had empty or missing capability fields. Every incomplete profile was a missed match opportunity — directly degrading the platform's core value proposition.

Manual Data Entry Was a Bottleneck

Admins spent significant time manually reading uploaded capability PDFs and typing extracted information into profile fields. The process was slow, error-prone, and impossible to scale.

Search Excluded Non-Technical Users

Elasticsearch-powered search required structured filter queries. Admins and buyers without technical knowledge struggled to find the right organizations, reducing the effectiveness of the platform for its primary audience.

Operational Reporting Was Slow and Fragmented

Answering basic questions — how many buyers are registered for a conference, which sellers have zero meetings scheduled — required manual report runs rather than simple queries, slowing event operations.

What We Actually Changed for Govmates

We didn’t bolt AI onto the product as a gimmick. Each feature was designed to eliminate a specific operational burden — reducing manual work, improving data quality, and giving every type of user a faster, smarter experience.

Eliminated Manual Data Entry

PDF Profile Extraction — From Documents to Structured Data in Seconds

Most Govmates organizations upload a capability statement PDF when they register. We built an agentic extraction pipeline that reads those PDFs and pulls out structured profile data — capabilities, NAICS codes, set-aside preferences, past performance, and more. Admins review the extracted fields in a clean merge interface, approve or skip each one, and push the data into the live profile with a single click. Bulk extraction lets a single admin enrich hundreds of incomplete profiles in the time it previously took to do one — turning a paralyzing backlog into a manageable queue.

Extended Coverage Across the Entire User Base

URL Profile Extraction — Enrich Profiles Even Without a PDF

Not every organization uploads a capability PDF — but nearly all have a website. We introduced a URL extraction agent that crawls company websites and public-facing URLs stored on each profile, extracts relevant organizational data, and surfaces it through the same trusted merge-field interface. This doubled the pool of profiles eligible for AI enrichment, ensuring that no organization is left behind simply because they didn't upload a document. Bulk URL extraction allows admins to run enrichment across large filtered sets in a single action.

Made Search Accessible to Everyone

AI Request Search — Find the Right Organizations by Just Describing Them

We layered a natural language search interface directly on top of Govmates' existing Elasticsearch infrastructure — no migration required. A floating chat widget lets any user search in plain English: "small businesses in aerospace with SBIR experience and past federal contracts." The AI interprets intent, returns smart results, and lets users continue refining through conversation. Once satisfied, users can export matched results or create a formal procurement request directly from the chat interface. Search becomes a dialogue — not a filter form that rewards only technical users.

Replaced Manual Reporting with Instant Answers

Ask AI — A Conversational Intelligence Layer Across the Whole Platform

We built a conversational assistant trained on Govmates' internal data that allows admins to query the platform as if talking to a knowledgeable colleague. Questions like "How many buyers are registered for the NASA LIFT conference?" or "Which organizations have zero scheduled meetings in live conferences?" return immediate, human-readable answers. The assistant retains conversation context, handles multi-step queries, and surfaces operational insights that previously required custom-built reports or database queries. It's accessible directly from the navigation bar — meaning every admin has an analyst on call at all times.

Sustained Data Quality at Scale

AI Profile Improvement — Clean Data That Keeps Pace With Platform Growth

Beyond enriching new data, we built an AI layer that continuously improves existing profile content — correcting typos, resolving duplicate entries, standardising formatting, and improving the readability of capability descriptions. As Govmates scales its user base, data quality no longer degrades over time. Admins can trigger improvement passes on individual profiles or in bulk, ensuring the platform consistently presents the high-quality data that government buyers rely on to make procurement decisions.

Govmates needed more than an AI integration — they needed a team that understood that every incomplete profile is a missed match, and every missed match is a missed contract. We designed each feature around that reality, not around what was technically interesting to build.

What Govmates Got

A summary of the concrete outcomes delivered across all five AI features.

Bulk PDF extraction — admins can enrich hundreds of incomplete profiles from uploaded capability documents in a single workflow.

Admin-controlled merge interface — every AI extraction goes through a human review step, ensuring data accuracy before it hits live profiles.

Conversational request creation — matched search results can be saved directly as procurement requests from within the chat interface.

AI profile improvement — continuous cleanup of typos, duplicate entries, and inconsistent formatting across all organisation records.

URL-based enrichment — organizations without PDFs can now be enriched from their public websites, doubling coverage.

Natural language search — any user can find the right organizations by describing them in plain English, no filter expertise required.

Ask AI assistant — instant answers to complex operational questions, available from the navigation bar to every admin on the platform.

Zero disruption to existing infrastructure — all five features were integrated into the live platform without replacing or migrating existing search or data systems.

Technologies & Tools

Agentic AI Pipelines Large Language Models PDF Parsing & Extraction Web Crawling & Scraping Natural Language Processing Elasticsearch Integration Conversational AI RAG (Retrieval-Augmented Generation) Merge Field UI Bulk Processing Workflows REST API Integration Data Quality Automation

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