TESS
AI reads every page, so your evaluators don't have to.
AI-assisted technical scrutiny for government and PSU tenders — reads every page, cites every clause to its source, and keeps the human in control with a full, audit-ready trail
Tenders / Year Capacity
Reviewer Time Saved
Indian Languages
Claims Cited to Source
Tenders / Year Capacity
Reviewer Time Saved
Indian Languages
Claims Cited to Source
Key Capabilities
Ingestion
Automated Tender Ingestion
Every tender document is classified, indexed, and mapped page-by-page on upload — no manual sorting, no missed annexures, even across scanned and regional-language pages.
Eligibility Checklist Extraction
AI extracts the full eligibility rulebook into a structured checklist, each clause linked to its exact source page — then flags the additional rules human evaluators most often miss.
Per-Page Multilingual Understanding
Language is detected per page, not per document — so English tenders with regional-language stamps, seals, and annexures are read accurately across 22+ Indian languages.
Evaluation
Evidence-Based Bid Evaluation
Each bidder is scored against the approved checklist with a Pass / Fail / Needs-Review verdict — every decision backed by a file-and-page citation, its reasoning, and a confidence score.
Dual-Path Verification
An independent Evidence Verifier re-checks every finding as a second opinion. Bidder indexes are isolated to prevent cross-bidder evidence leakage — no bleed-through, no false positives.
Ask-the-Tender Q&A
Query any tender or bidder application in natural language and get answers grounded in the source documents — turning past tenders into searchable institutional memory.
Trust & Audit
Human-in-the-Loop Gates
Two mandatory sign-off gates — checklist approval and evaluation approval — keep the reviewer in control. AI proposes; the human disposes. Low-confidence outputs are routed straight to a person.
Full Audit Trace
Every decision records its model and prompt version, the retrieved evidence, citations, and scores. A complete, reproducible trail — defensible under CVC and CAG scrutiny.
Use Cases by Industry
See how TESS delivers value across verticals.
Technical Scrutiny at Scale
Clear multi-week evaluation backlogs across departments while holding a consistent, rulebook-aware standard on every bid
Audit-Ready Decisions
Every eligibility verdict cited to its source page — no more audit queries triggered by a single missed clause
Institutional Memory
Past tenders become a searchable knowledge base, so precedent and prior rulings are one query away
Manual Scrutiny vs TESS-Assisted
| Dimension | Manual Scrutiny | TESS-Assisted |
|---|---|---|
| Evaluation Time | Multi-week bottleneck per tender | Days — AI-surfaced evidence, human-approved |
| Clause Coverage | Prone to missed rules under time pressure | Full checklist + AI-flagged commonly-missed rules |
| Evidence Trail | Manual notes, hard to reconstruct | Every claim cited to file & page automatically |
| Consistency | Varies by officer and workload | Uniform, rulebook-grounded standard |
| Language Coverage | Regional-language pages slow reviewers | 22+ Indian languages, detected per page |
| Audit Defensibility | Indefensible under audit queries | Reproducible trace — defensible under CVC / CAG |
| Deployment | Cloud tools raise data-sovereignty flags | Air-gapped, on-prem |
Integration Ecosystem
Seamless connectivity with the platforms you already use.
Frequently Asked Questions
What is TESS and what does it do?
TESS (Tender Evaluation Support System) is an AI-assisted platform for the technical scrutiny of government and PSU tenders. It ingests tender documents, extracts the eligibility checklist to the exact source page, and evaluates each bidder's application against that checklist — returning a Pass / Fail / Needs-Review verdict with a citation, reasoning, and confidence score for every decision. TESS surfaces the evidence; your evaluators make the final call.
Does TESS replace human evaluators?
No. TESS is built on the principle that AI proposes and the human disposes. It handles recall and evidence-surfacing — reading every page and citing every claim — but two mandatory human approval gates keep reviewers in control: one to approve the extracted eligibility checklist, and one to approve each bidder evaluation. Low-confidence outputs are routed directly to a person.
How does TESS ensure its decisions are accurate and audit-defensible?
TESS combines six mechanisms: confidence gating, dual-path verification with an independent Evidence Verifier, human-in-the-loop approval gates, golden-dataset regression testing, a reviewer feedback loop that refines the models, and a full audit trace that records the model and prompt version, retrieved evidence, citations, and scores for every decision. The combined system is effectively 100% accurate even though any single model is ~95–98%, and every verdict is reproducible and defensible under CVC / CAG scrutiny.
Can TESS handle regional-language tender documents?
Yes. TESS detects language per page — not per document — so English tenders containing regional-language stamps, seals, affidavits, and annexures are read accurately. It supports 22+ Indian languages, including code-mixed text, using Sarvam models alongside OCR and visual document understanding.
Can TESS be deployed in an air-gapped government environment?
Yes. TESS runs fully on-premise and air-gapped on self-hosted components — no tender data ever leaves your network. It is designed for the strictest data-sovereignty and security requirements of government, PSU, defence, and railway procurement, and scales to roughly 100,000 tenders per year.
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