Noetis Procurement · Business engine

Vendor Proposal Comparison API

Compares supplier proposals against a requirements document.

Answers: "Can an engine compare supplier proposals against our requirements?" For procurement and sourcing teams.

Compares supplied proposals. Totals are restated for review because exact calculation is not a verified tool yet.

Available today

Implemented

Implemented: runs on the shared runtime with supplied material. One bounded development check on 2026-10-12 took 157.9s with 15 model calls and ended "incomplete". That is a development signal, not an evaluation. Customer access is by approved account.

What you send

  • Question
  • Supplied text material
  • Text material up to 150,000 characters per run

What comes back

  • Evidence linked comparison matrix and negotiation questions.
  • Findings with the located quote and a support status from claim review
  • Release status: released, incomplete with reasons, or failed
  • Executed roles, usage and measured cost

Sample

Authored illustration. Written by Encevra to show the workflow. Not customer data and not a recorded model output.

Compare these two cloud backup proposals against our requirements.

REQUIREMENTS: 99.9% uptime SLA, EU data residency, 3-year total cost, restore within 4 hours. Vendor A: $2,000/month, 99.95% SLA, EU and US regions, restore time not stated. Setup fee $5,000. Vendor B: $1,700/month rising 10% each year, 99.9% SLA, data stored in US only, 2-hour restore guarantee. Vendor B states 3-year total is $61,200.

The real response shape is documented in the API reference.

How the workflow operates

Each role is a responsibility in the workflow, served by a third party language model. More roles are not automatically better; depth and routing decide which run.

Built with

  • OpenAI
  • Anthropic
  • Moonshot AI

Models this engine uses: OpenAI (GPT), Anthropic (Claude), Kimi (Kimi (Moonshot AI)). Specialists run on OpenAI models and the claim review and final brief on Anthropic models. If a provider has a temporary failure, the step can fall back to an OpenAI model, and the run records that.

Requirements Mapper

Convert requirements into explicit evaluation criteria.

Proposal Analyst

Extract and normalize vendor responses.

Commercial Analyst

Calculate comparable total costs.

Supplier Risk Reviewer

Examine delivery, dependency and evidence gaps.

Selection Reviewer

Check scoring consistency and unresolved questions.

Evidence and deployment

Evidence

This engine reads the text you send in the request. Each released finding carries the exact quote and its character span in that text, located mechanically before release. Quotes that cannot be located are labelled Insufficient evidence and never shown as source verified. Interpretation is reviewed as a separate step, and gaps such as a missing clause describe what was searched instead of citing text that is not there.

Deployment

Runs on Encevra hosted infrastructure using the third party models listed above. Every model call and fallback is checked against the deployment policy first. Private cloud and air-gapped deployment are planned; discuss deployment requirements.

What it does not handle

  • Awarding contracts
  • Contacting suppliers
  • Deterministic calculation is not available: Not built. Arithmetic is rebuilt by the model and checked by review only.
  • Uses only supplied material. No freshness guarantee beyond the documents provided.
  • Required for every output during trials.

How to integrate

Send "engine": "procurement" with your question and material from your server. Keys stay server side.

How to evaluate it

No published result for this workflow yet. Build a small answer key from your own work and compare against a strong single model baseline. See the evaluation checklist and method.

Cost and rights: pricing and licensing. Showing outputs to your own customers needs a written agreement.

Optional technical details

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Related engines

Content reviewed 2026-10-12 by the Encevra engine team. Engine version 0.1.0 on noetis-core-1.