Procurement evaluation, finally.

Every submission, evaluated like your best reviewer had a month.

BidsEval.AI reads every RFP, RFQ, RFI, and prequalification the way your best evaluator would, at a volume no committee can match. Dozens of documents, hundreds of pages per bidder, returned as scored, cited, challenge‑proof analysis. The committee always makes the final decision.

See how it works
01 · Coverage
Any RFx, any sector
02 · Standard
Senior specialist depth
03 · Defensibility
100% evidence‑backed
Tender · NHIF/RFP/2026/014
Hospital Management
Information System
Live · scoring
14 submissions
#BidderScoreStatus
01 Acacia Health SystemsNairobi · Tier 1 88.2 / 100 Qualified
02 MediFuse East AfricaKigali · Tier 1 85.7 / 100 Qualified
03 Korongo Health TechMombasa · Tier 2 82.4 / 100 Qualified
04 Sandawe DigitalDar · Tier 2 71.0 / 100 Flagged
05 Tana Health NetworksEldoret · Tier 3 66.8 / 100 Below threshold
06 Bahari ConsortiumKisumu · Tier 3 61.3 / 100 Below threshold
Last refresh · 09:42 EAT
Pending committee review
The problem

Procurement evaluation is broken in three ways, and most people only talk about one.

Billions of dollars in contracts flow through evaluation committees every year, and the people running them are handed an impossible brief with the wrong tools. Specialist submissions to judge across every domain. Hundreds of pages, nights and weekends. An audit trail held together by whoever remembered to keep notes.

01 / 03
01
An impossible brief

One tender is healthcare IT. The next is construction methodology. The next is financial modelling. No officer, and no three‑person committee, can carry deep expertise in every domain a complex submission demands, and nobody should be expected to. Without specialist depth on tap, substance gets harder to reach than presentation.

02 / 03
02
The grind

Fourteen submissions, three hundred pages each. Manual extraction, manual rationale writing, cross‑checking by hand. Three reviewers, three weeks, evenings and weekends lost to it. The work that actually needs judgement, the hard calls, gets whatever is left after the mechanical slog eats the days.

03 / 03
03
The challenge risk

A losing bidder files a review. The committee is asked to defend every score, every rationale, every reference, often months later, from memory and scattered notes. Decisions that looked sound on the day do not always survive a tribunal. The exposure lands on the institution and the people who signed.

How it works

Three steps. One workflow.

BidsEval.AI sits between the moment submissions close and the moment the committee signs. Everything in between becomes faster, more expert, and defensible under any scrutiny.

01
Connect your submissions

Upload the technical proposals, financial models, capability statements, and pre‑bid clarifications. Any RFx type, any format. Dozens of documents, hundreds of pages per bidder. Statutory and mandatory documents read first, every page indexed into a single evidence layer, nothing silently dropped.

Statutory documents · read first
02
AI analyses and scores

A senior‑specialist read of every submission, against the criteria you set. Scores with citations. Financial extracts. Compliance flags. Anomalies surfaced. Side‑by‑side comparisons. Every claim traceable to a page reference.

Hours, not days or weeks
03
Committee reviews and signs

The committee receives an expert brief, not a decision. They review, adjust, deliberate, and sign. The legal mandate and the final judgment stay with them. BidsEval.AI is the analysis, never the authority.

Multi‑framework · compliant by default
Moderation · Committee deliberation, on the record

The hardest conversation to defend, captured as it happens.

Real evaluations aren't one score: they're several reviewers who disagree, and a committee that has to reconcile them defensibly. BidsEval.AI runs that properly.

Each evaluator scores independently. The system surfaces where they diverge, flags the outliers, and structures the reconciliation. When a moderated score departs from the independent ones, it cannot be finalised without a recorded reason. Evaluators appear anonymised by ordinal. The deliberation is judged on substance, not seniority.

Independent scoring Divergence & outlier detection Reason required to override Anonymised by ordinal

The one thing a procurement review always demands and committees rarely have: a complete, reasoned record of how the panel got from independent scores to a final decision.

PPADA 2015. World Bank Procurement Regulations for IPF borrowers. AGPO preference margins and reserved categories. Choose the framework per exercise. BidsEval.AI applies its rules, scoring guidance, and preference schemes automatically.

Donor‑funded, government, and reserved procurement, each evaluated against the regime that actually governs it, not a single hardcoded default.

PPADA 2015 World Bank · IPF AGPO · preference margins Per‑exercise selection
Frameworks

Multi‑framework by design.

Methods

Built for how evaluation actually works.

Two‑envelope tenders keep financials sealed from technical scoring until qualification is decided, enforced in the workflow, not just intended. QCBS combines technical and financial into a weighted score on the split you set.

Merit‑point, lowest‑evaluated‑price, prequalification: configure the method, and the evidence trail holds under each one.

Two‑envelope · sealed QCBS · weighted Merit‑point Lowest‑evaluated‑price
Outputs

Four artefacts the committee can actually use.

Every output is a draft. Every score has a cited document. Every document has a page reference. The audit trail is built in, not bolted on.

Stage 1 · Document review

A reviewer's read of every submission.

Section‑by‑section analysis with annotations, missing‑document flags, eligibility checks, and a short executive summary per bidder. Designed to be read alongside the original submission, not in place of it.

Per bidder · ~12 pages · PDF & .docx
Stage 2 · Evaluation matrix

Scores, with their working shown.

A criterion‑by‑criterion matrix across all bidders. Every cell carries a score, a one‑line rationale, and a citation to the source document. Filterable by criterion, weighting, or threshold.

All bidders · live spreadsheet · XLSX export
Deep financial extracts

The numbers, normalised.

Pricing schedules, cost breakdowns, payment terms, and total cost of ownership, extracted from PDFs and normalised onto a comparable scale. Outliers and arithmetic errors flagged.

All bidders · structured CSV · audit‑ready
Evaluation report & register

A document that survives challenge.

The final evaluation report, drafted in your house style, signed by your committee, defensible at a procurement tribunal. The accompanying register tracks every score change with reason and reviewer.

Single artefact · PPARB‑ready · digital signatures
Every score has a reason.
Every reason has a document.
Every output is a draft
pending your committee's sign‑off.
01 · Defensibility

Built to survive challenge.

Every score cites a page. Every adjustment is logged with reviewer, timestamp, and reason. A document that's present but unreadable is never scored as missing; it's flagged for the committee. A retrieval failure never becomes a verdict. The audit trail is append‑only.

02 · Authority

Humans always close the loop.

BidsEval.AI recommends, flags, calculates, and drafts. The committee decides. The committee signs. This is not a disclaimer. It is the architecture. Legally and commercially, accountability stays where it belongs.

03 · Sovereignty

Your data stays yours.

No model training on your submissions. Tenant‑isolated storage. Kenya DPA 2019 compliant. Segregated by design, so the commercial positions in every bidder's submission stay yours. Full detail below.

Data protection · Sovereignty by architecture

Your submissions never leave your control.

Procurement data is among the most sensitive an institution holds: pricing, ownership, the commercial positions of every bidder. BidsEval.AI is built so that data stays yours, provably.

01 · No training
No training on your data.
Your submissions are never used to train any model. Ever.
02 · Isolation
Tenant‑isolated storage.
Each organisation's data is segregated. One tenant can never see another's exercises, bidders, or scores.
03 · Kenya DPA 2019
Compliant from the ground up.
Built to the Data Protection Act: lawful basis, data‑subject rights, and retention discipline, by design.
04 · Audit trail
Append‑only, by design.
Every access, score, and adjustment is logged with reviewer, timestamp, and reason. Records are added, never overwritten, the trail a review or donor audit expects.
Pilot programme · 2026

Bring us a real tender. We'll show you what we'd do with it.

A 14‑day pilot on a live evaluation exercise. Your category, your criteria, your committee. We deliver a scored workbook and an evidence trail. You decide whether it would have helped.

Currently piloting with: NGO & development finance Health insurers · panel prequalification Government parastatals · ICT procurement