Pursuit · Agentic AI
From tender documents to a prioritized bid shortlist.
Built at ApexFlo, Pursuit brings GeM tender discovery, company-fit checks and source-linked document review into one bid-preparation workspace.
Internal deployment · Built and deployed at ApexFlo · GeM tender workflow
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The challenge
Deciding which tenders to pursue means working across listings, main bid documents and attachments. Teams need to compare requirements with company capabilities, inspect the supporting clauses and organize preparation before committing to a bid. A keyword search alone leaves that work scattered across documents and notes.
What we delivered
- Connected tender discovery, deduplicated downloads, native-text extraction and incremental indexing for GeM bid documents and attachments.
- Built company profiles and relevance ranking around product interests, turnover, experience and earnest money deposit (EMD) limits.
- Added source-linked review of technical, eligibility, financial and delivery requirements, with inspectable document passages.
- Brought bid comparisons, shortlists, preparation notes and compliance-checklist progress into one workspace.
- Connected an authenticated assistant that can retrieve saved evidence and make explicitly authorized profile, shortlist and checklist updates.
Results and current progress
- The internally deployed system connects collection, document extraction, PostgreSQL import, a review portal and authenticated assistant tools.
- Saved company profiles support capacity comparisons and a prioritized shortlist for the bid team's review.
- Document findings retain source references and supporting quotations so reviewers can inspect the requirement in context.
- Assistant workspace edits use scoped editor permissions, recorded actions and replay protection.
Technical details and project scope
Technical methods
- Document ingestion and native-text extraction
- Company-specific search and ranking
- Source-linked AI document review
- Bid-preparation and compliance workspace
- OAuth-protected MCP tools
- Audited, authorized workspace actions
This case study describes ApexFlo's internal deployment for GeM listings and available selectable text from bid documents and attachments. Bid teams review eligibility and finalize submissions. The illustration shows the workflow, not a product screenshot.