Built by BLG · Tender Management
Find the right tenders. Bid on the ones you can win.
An AI-assisted platform that discovers new tenders daily, screens them against your eligibility, and carries the ones worth bidding on through review, binder, submission and award.
- Lifecycle
- Intake → review → bid → award
- Screening
- Rules first, AI second, human last
- Deadline alerts
- Daily, via Slack
- Architecture
- Multi-tenant SaaS
The lifecycle
From a new listing to a signed award.
- 01
Discover
New tenders are pulled in automatically every day, with a catch-up pass for any missed dates and a separate watch on tenders closing soon.
- 02
Screen
Each tender is checked against your company profile — turnover, experience, certifications, scope — and marked eligible, ineligible or for manual review, with the reason recorded.
- 03
Review
Your bid team works a daily review board: the AI's decision and reasoning alongside the tender, filters for MSME and startup exemptions, and one-click labelling.
- 04
Bid
Approved tenders move to a pipeline with supervisors, comments, an AI bid-value estimate, and a bid binder assembled from your own document library.
- 05
Track
From submission through technical and financial evaluation to won or lost — every state change is tracked, and deadline alerts fire before it is too late.
AI, applied carefully
Rules decide first. The model judges the rest.
Eligibility is where bids are won or wasted. So the system is built to be cautious: it narrows the field with rules you can audit, and hands people the cases that need a person.
- Hardware-supply, domain-locked and over-scale tenders are filtered out by rules before any model is called
- Turnover, experience and ISO-family requirements are matched deterministically against your profile
- A language model handles only the qualitative judgement, returning a decision, reasons and a relevance score
- A relevance classifier retrains on your team's own labels — the more you review, the sharper the queue
- Where a tender can't be confidently decided, it goes to a person — it is never silently dropped
- Per-organisation data isolation, with each tenant in its own database schema
Core modules
Everything a bid team touches, in one place.
Daily tender intake
Automated daily runs with backfill, tender documents downloaded and stored, and a run report posted to your team channel.
Eligibility screening
Deterministic checks on turnover, experience and certifications run before the AI is consulted. Every decision records its stage and reason.
Document extraction
Structured view of each tender: value, fee, EMD, timeline, eligibility criteria, exemptions, required documents and scope of work.
Review board
A paginated daily queue with AI-versus-human agreement tracking, so you can see how much the screening can be trusted.
Bid pipeline
Upcoming, approved, submitted and awarded stages with archive, importance flags, supervisor assignment and comments.
Bid binder generator
Matches each tender checklist item to your company documents and compiles an indexed PDF binder on your letterhead, versioned per revision.
EMD & fee accounts
Instrument, bank and expiry tracking for EMD and tender fees, refund follow-up, performance guarantees, and letter generation.
Alerts & roles
One-week, two-day and expired deadline alerts, approved-but-not-submitted reminders, and role-based access for admins, operators and accounts.
Why Tender Management
Proven on our own bids first.
Built by a team that bids
BLG built this for its own tender operations first, and runs it on real tenders every working day.
Conservative by design
Deterministic rules decide what they can. The model is used for judgement, and uncertain cases are routed to people.
One system, start to award
Replaces spreadsheets, portal alerts and chat threads with a single record of every tender and its state.
Learns from your team
Reviewer labels feed back into relevance scoring, and agreement between AI and reviewers is measured, not assumed.