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Open source project

TenderIQ

Seven-agent AI pipeline for procurement bids

The BrassNorth standard

A clear build, with a person accountable for every detail.

Nothing hidden

Written scope, visible previews and a price agreed before work starts.

Useful from day one

Every page has a job: call, book, order, visit or start a conversation.

Responsive by default

Fast loading, mobile-first layouts and direct replies from Saad.

TenderIQ, the top of the page as a visitor first sees it.

Open source · Seven-agent AI pipeline for procurement bids

What it is

A seven-agent AI pipeline that evaluates procurement bids and forces every claim to cite its source.

The problem

An AI that summarises a tender document is useless if you cannot check what it read. Procurement decisions need an audit trail.

What I built

  • Seven agents across a bid evaluation pipeline
  • A Pydantic citation-enforcement schema requiring every agent output to include a page number and a verbatim quote from the source PDF
  • An orchestrator that rejects and retries any uncited response
  • A Human Review Required flag raised when agents disagree, for example Technical PASS with Compliance FAIL

Design and engineering decisions

  • Citations are enforced at the schema level rather than requested in the prompt, because a prompt is a suggestion and a schema is a gate.
  • Disagreement between agents surfaces a human review flag instead of being averaged away, since a split verdict is exactly the case a person should see.
  • Built on Cloud Run so the pipeline scales per document without idle cost.

Verifiable proof

View TenderIQ on GitHub

Built with

FastAPI · Google Cloud Run · Gemini 2.5 Pro via Vertex AI · Next.js 15 · Supabase

Selected views

Screens

The TenderIQ audit-grade procurement evaluation hero.
The TenderIQ audit-grade procurement evaluation hero.
The TenderIQ landing page, introducing audit-grade bid evaluation for government procurement.
The TenderIQ landing page, introducing audit-grade bid evaluation for government procurement.
The TenderIQ officer dashboard, where submitted tenders and evaluation status are monitored.
The TenderIQ officer dashboard, where submitted tenders and evaluation status are monitored.
The TenderIQ tenders view, listing submissions moving through the evaluation pipeline.
The TenderIQ tenders view, listing submissions moving through the evaluation pipeline.
The TenderIQ officer review screen, showing the evidence and decision trail behind a recommendation.
The TenderIQ officer review screen, showing the evidence and decision trail behind a recommendation.
What happens next

You never have to guess the next step.

Send a short note. I will ask the useful questions, share a direction and make the decision easy.

01

Tell me what is stuck

Share your business, your audience and the action you want more people to take.

02

See the direction first

Your homepage concept comes before payment, so the fit is clear before the build.

03

Launch with ownership

I build in checkpoints, then hand over the domain, code and logins in your name.

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