Bid on more tenders. Win more of the right ones.
Bid managers lose 3–5 days per tender just reading documents. CivilBolt reads the 500-page tender in 20 minutes: risk score, obligations list, go/no-go recommendation, and pre-bid queries ready before the meeting. Your team evaluates twice as many tenders in the same week.
The Monday morning tender
A typical week without CivilBolt
A NHAI tender drops Friday evening. Bid deadline is 21 days out. Volume I is the BOQ, 280 pages. Volume II is special conditions, 190 pages. Volume III is general conditions, 310 pages.
By Monday, the junior team has read the BOQ and marked a few special conditions. Nobody has read the general conditions. The scope creep clause is in Volume III, page 247.
The go/no-go meeting happens on Wednesday. The decision is gut feel, two senior engineers, and a margin estimate done in Excel. Two weeks later, the team is bidding hard on a tender where the LD clause caps at 20% of contract value, not 10% as assumed.
With CivilBolt
Upload all three volumes Monday morning. By the time the team sits for coffee, CivilBolt has read every page, scored the commercial and contractual risk, pulled 280+ obligations, and flagged the LD clause as a non-standard risk. The go/no-go meeting on Wednesday runs on data. If the team passes, nothing is wasted. If they bid, they bid knowing what they signed.
- AI reads all volumes: BOQ, special conditions, general conditions. Not just the highlights
- Risk score across commercial, technical, and contractual dimensions
- 280+ obligations extracted and sorted by project phase
- Go/no-go verdict across 16 criteria and 6 weighted categories, not gut feel
- Pre-bid queries drafted and ready for the pre-bid conference
What bids cost when the process is slow
Every tender your team evaluates slowly is a tender another firm evaluated faster. Bids you skip because you ran out of time cost as much as bids you lose. And bids you win without fully reading the contract cost the most.
3–5 days per tender, and you have 12 open at once
One senior engineer reads the special conditions. The general conditions go unread. The BOQ analysis happens in a copy of last quarter's Excel. Your team can physically evaluate 4–5 tenders a month, not the 15–20 published in your category.
The go/no-go call is a gut feel with no paper trail
Two partners talk, one wins the argument, the team bids or passes. There's no record of why you passed on a ₹400 crore tender that a competitor won at 18% margin. Next quarter, the same conversation repeats.
Bidder intelligence is a black box
Who else is bidding? What did L1 and L2 quote on the last three similar NHAI tenders? What is your competitor's win rate in this state? Without this, your bid strategy is guesswork at the L1 stage.
Pre-bid conference questions come out of experience, not the document
Your senior engineer lists queries based on what they remember from past tenders. Contradictory clauses between Volume II and Volume III, rate items with no precedent in MoRTH Schedule of Rates. These get missed because nobody read all three volumes.
Evaluate faster. Decide with data.
Tender Intelligence gives your BD team a pre-bid workflow: one feed for all tenders, AI analysis of every document, go/no-go scoring, and bidder intelligence. All before bid day.
One feed for all tenders
NHAI, MoRTH, CPWD, and state PWDs. Aggregated and filtered by project type, value, deadline, and state. No checking five portals every morning.
Risk score before you commit
AI reads every volume and scores commercial, technical, and contractual risk. Non-standard clauses flagged before the go/no-go meeting: abnormal LD caps, one-sided variation terms, mobilization advance conditions.
Go/no-go on 16 criteria, not two opinions
6 weighted categories: strategic fit, owner relationship, technical capability, resources, competitive position, contract risk. Two kill criteria stop a bad bid before resources are spent. Verdict: GO / CONDITIONAL / NO-GO.
Bidder intelligence before you name a price
Win rates, average bid values, and L1-L2 spreads for contractors who bid similar tenders. Know who you are competing against and what they typically quote, before you finalise your rate.
20 min
Full risk read on a 500-page tender
280+
Obligations extracted per tender
16 criteria
Go/no-go scorecard, not gut feel
Send us a tender. We'll show you what it surfaces.
Bring a tender your team is evaluating this week. We'll process it on the call: obligations, risk score, go/no-go verdict, and pre-bid queries. On your numbers, not a demo dataset.