Every bid read against the spec. Every award that survives the challenge.
EvalLens reads every bid end to end against the criteria you published — technical approach, methodology, team, delivery — and hands your evaluation committee per-criterion findings with quotes and page references. Your evaluators score and award; the record exists from day one.
The file gets tested the day you announce the winner
- 1,740bid protests filed with the US GAO in FY 2024 alone. Losing bidders challenge awards — that's the system working as designedGAO Annual Report FY2024
- 52%of protests end in some form of relief — corrective action or sustain. Half the time, the file didn't holdGAO effectiveness rate
- 4–8 hof committee time one 50-page proposal consumes across a five-person panel — before the consensus meeting startsRFP evaluation guides
- 10–12 wksa typical RFP evaluation cycle runs, with evaluator fatigue documented as scoring quality's main enemy in the later pileprocurement timelines research
“Please provide the evaluation record for our bid” — and you export, not reconstruct.
Today that answer lives in five evaluators’ annotated PDFs and a consensus meeting nobody minuted properly. With EvalLens, the record for every bid — scores, evidence, clarifications, who signed off — is one click, from day one.
Quotes are verified against the bid before a finding stands — no quote, no finding. The first and the last bid are evaluated under exactly the same rules, at the same depth — the claim a fatigue-curve committee can never honestly make.
Bid opening → award decision, in six steps
EvalLens prepares the consistent first read. Your evaluation committee scores, reaches consensus, and awards.
- 01
Your published criteria become the rulebook
The evaluation criteria and weightings from your tender documents — configured once, locked before bids open, applied identically to every submission. What you published is what gets scored. You get: scoring that matches the criteria you announced.
- 02
Bids land complete
From your e-procurement portal or your inbox — batch in, files out. Missing documents and unmet mandatory requirements are flagged against your checklist; your team handles exceptions, not the pile. You get: the compliance screen done before evaluation starts.
- 03
Every bid read end to end against the spec
Technical proposal, methodology, team, delivery plan — every page, coverage logged. Independent AI reviewer lenses (not people — parallel reads that can't anchor on each other) assess each criterion, evidence before score. Bid #1 and bid #40 get the same read, at the same depth. You get: no evaluator-fatigue curve in the record.
- 04
Your committee scores briefs, not binders
Each bid arrives pre-read: per-criterion findings, page-referenced quotes, gaps and clarification questions. Your evaluators score as they always have — they remain the evaluators of record; AI reads stay advisory. Disagreements between reviewer lenses surface for the consensus meeting instead of hiding in an average. You get: consensus meetings that start at the finish line.
- 05
The award recommendation comes from the record
Ranking is built from your committee's scores. The award memo — every score, every rationale, every override — is generated from the live record, not reconstructed the week the challenge letter arrives. You get: an auditable trail from criteria to award.
- 06
Debriefs from the same file
Every unsuccessful bidder gets a substantive debrief drafted from the record — strengths, weaknesses against the published criteria — reviewed by your team before anything is sent. The letter that answers the question before it becomes a protest. You get: fewer challenges, faster closure.
Built for processes that get audited.
Published criteria, applied consistently, with a trail.
Modern procurement regimes converge on the same three demands: announce the criteria, apply them the same way to every bidder, and be able to show your work. That is — literally — the product mechanic: versioned criteria, logged reads, quote-verification against source text, and human decisions on the record.
What the parallel pilot measures on your tender.
One live or recently closed tender, run side by side with your committee — success metrics agreed before we start, security review first.
Evaluator-hours per tender
Committee time from bid opening to consensus — before vs after. The number your budget holder needs.
Coverage
Share of submitted pages actually read, logged per bid — the claim a debrief can cite.
Scoring consistency
Same criteria, same anchors, applied to the first and the last bid — inspectable, not asserted.
Record completeness
Can every score be answered with a quote and a page reference? Counted per bid.
Fixed-fee pilot, procurement-friendly. PO and invoice accepted; MSA and DPA templates ready for your process. See pricing or book a call.
What your procurement lead will ask
- Does the AI decide the award?
- No — by design. AI reads are advisory; scores, consensus and the award recommendation are built exclusively from your evaluation committee's decisions, with every confirmation and override logged. There is no mode where the machine awards.
- Can we legally use AI in a regulated procurement?
- That's your counsel's call, and we make it an easy conversation: your evaluators remain the evaluators of record, AI assistance is disclosed on your terms, processing is logged, and bids are never used for training. We provide the architecture memo and the security pack; the compliance position stays yours. We don't certify against any procurement regime — and we'd distrust any vendor who claims to.
- Bids are commercially confidential. Where do they go?
- A closed evaluation perimeter: server-side processing, project-level isolation, no public links, never used to train models — contractual, in the DPA. Sub-processor and model-provider list ships with the security pack before any document moves. Compare that honestly with evaluators handling bids in personal AI accounts you can't govern.
- Our evaluation includes price. Does EvalLens score it?
- Price and other formula-based criteria stay mechanical — your existing calculation. EvalLens works the part that consumes committee time and generates challenges: the qualitative criteria — technical approach, methodology, team, delivery plan — where scoring consistency and evidence trails matter most.
- What happens when the AI misreads a bid?
- Quotes are verified against the source document before a finding stands — no quote, no finding. Thin evidence moves scores down, never up, and every material gap routes to the evaluator's clarification list rather than into a silent score.
- Who else runs this?
- We're onboarding a founding cohort of evaluation teams — which is why the entry point is a parallel pilot on one live or recently closed tender: your committee evaluates as usual, EvalLens reads the same bids, and you compare hours, coverage and where the reads agreed before anything counts.
One tender, evaluated in parallel.
30 minutes with whoever owns the evaluation: we map your criteria, agree the metrics, and run one tender side by side with your committee — before anything counts. The first run is free through August 31, for batches up to 10 decks.