AI-Powered Contract Intelligence Platform

Turn contracts into
structured data and actionable insights.

Cantabrix extracts reliable data from complex vendor agreements and transforms it into a structured foundation for analysis, search, and decision-making.

Documents
Data Model
Dataset
Ask AI
Runs
Settings
Acme Services Agreement — Extracted Fields
98% Confidence
FieldValueConfidenceSource
Effective DateJanuary 15, 20250.98Both agree
Annual Value$2,400,0000.96Both agree
Auto-RenewalYes — 12 month terms0.94Adjudicated
Termination Notice90 days written notice0.87Anthropic
Governing LawState of Delaware0.99Both agree

Purpose-built for contract intelligence

Reliable data extraction

Extract pricing terms, dates, obligations, and other key fields from complex vendor agreements with a focus on repeatability.

Custom contract data model

Map extracted information into a purpose-built schema designed for vendor agreements, pricing structures, and commercial terms.

Vendor hierarchy

Capture parent-child vendor relationships and contract ownership across subsidiaries, business units, and supplier networks.

Document type detection

Identify whether a file is an MSA, SOW, amendment, pricing schedule, or related artifact so extraction can adapt appropriately.

Grounded Ask AI

Ask questions across your contract corpus using structured fields plus source-aware context instead of a generic chat layer.

Convergence Layer refereeing

Multiple extraction strategies are evaluated together so the platform can choose the most trustworthy structured result.

How the Convergence Layer works

1

Intake vendor documents

Upload MSAs, SOWs, amendments, pricing schedules, and related files for processing.

2

Referee competing extractions

Multiple models and extraction strategies independently interpret the document, then the Convergence Layer compares and validates the results.

3

Create insight-ready data

Accepted fields flow into a reusable data model that supports search, analysis, benchmarking, and insight generation.

Meet the Insight Engine

The Insight Engine uses structured contract data to surface the things teams actually care about: pricing inconsistencies, commitment risks, benchmark differences, and negotiation opportunities.

Pricing inconsistencies across vendors and agreements
Commitment tracking for minimum spend and renewal exposure
Benchmark comparisons across rates, terms, and structures
Grounded answers that connect back to extracted fields and document context
M
Where do we have pricing inconsistencies across similar services?
AI
2 likely pricing inconsistencies detected:

1. Acme Services — Senior engineering support at $185/hr
2. Globex Consulting — Comparable support at $210/hr
Potential savings opportunity: review rate variance and supporting terms before the next sourcing cycle.
Ask about rates, commitments, renewals, clauses, or vendor comparisons...
Reliable
Extraction designed for consistency
Grounded
Answers tied to extracted data and source context
Structured
Purpose-built data model for vendor agreements
Insightful
Patterns, benchmarks, and opportunities across contracts

Security and platform foundations

Multi-Tenant SaaS

Postgres Row-Level Security ensures complete data isolation. Your data never touches another tenant.

ISO 27001 in progress

Security controls and operating practices are being developed in support of the ISO 27001 certification effort.

API-First Design

Full REST API with OpenAPI documentation. Integrate extraction into existing workflows or use our web UI.

Smart Caching

Content-based hashing means re-processing the same contract returns instant cached results. Pay once.

See what insights are hiding in your contracts

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