# Councet

*/Startups/Councet*

## Startup Overview

This system extracts and normalizes obligations from executed vendor contracts. It scans unstructured legal agreements, identifies binding commitments, and converts them into structured data. Procurement teams use the resulting data to track vendor compliance and enforce service level agreements without manual auditing.

Enterprises routinely lose visibility into vendor deliverables the moment a contract is signed. Instead of relying on expensive outsourced counsel to manually review documents or hunt down penalty clauses, procurement departments deploy this engine to automatically surface specific deliverables, renewal conditions, and compliance metrics.

Where traditional contract lifecycle platforms like Ironclad or broad review tools like Kira Systems require heavy implementations and seat licenses, this approach embeds directly into existing procurement workflows. The normalized obligations become natively executable within the tools procurement teams already use. By pricing exclusively per extracted obligation, the model ties cost directly to tangible data delivery rather than software access.

## Startup Founding Hypothesis

**Approach**: that extracts and normalizes obligations from executed vendor contracts
**Competitors**:
- [Ironclad](/Competitors/Ironclad)
- [Kira Systems](/Competitors/Kira_Systems)
- [Outsourced Counsel](/Competitors/Outsourced_Counsel)
**Differentiator2x2**: priced per extracted obligation and natively executable in procurement systems

## Startup Solution Coordinate

**Solution**: [Vendor Obligation Service](/Services/Vendor_Obligation_Service)

## Startup Position2x2

```mermaid
quadrantChart
    title Market Positioning
    x-axis Subscription/Hourly Pricing --> Priced per Extracted Obligation
    y-axis Standalone Analysis --> Native Procurement Execution
    quadrant-1 Automated Extraction & Execution
    quadrant-2 General CLM
    quadrant-3 Traditional Legal Review
    quadrant-4 Niche Extraction Tools
    Councet: [0.85, 0.85]
    Ironclad: [0.25, 0.65]
    Kira Systems: [0.45, 0.35]
    Outsourced Counsel: [0.15, 0.15]
```

## Startup Offer

**Proof**:
- Aiming to achieve 99% extraction accuracy on standard IT vendor agreements
- Targeting an 80% reduction in manual contract data entry for enterprise procurement teams
- Seeking to format all extracted SLA data for native ingestion into platforms like Coupa and SAP Ariba
**Tiers**:
- Name: Ad Hoc Extraction · Price: ~$2.00–$5.00 per extracted obligation · Inclusions: Pay-as-you-go extraction of standard SLAs, payment terms, and renewal dates from uploaded contracts, delivered via CSV export.
- Name: Integrated Procurement · Price: ~$0.50–$1.50 per extracted obligation · Inclusions: Volume-based extraction designed for direct ingestion into procurement systems, supporting custom clause definitions and programmatic API access.
**Guarantee**: If an obligation is missed or hallucinated against the uploaded source text, the extraction run is refunded and flagged for manual review at no cost.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our contracts contain highly unique, non-standard penalty clauses. Rebuttal: The system allows procurement teams to define custom obligation parameters and keywords prior to the extraction run.
- Objection: We already use Ironclad for our contract repository. Rebuttal: Councet is designed to complement existing CLMs by pulling active obligations out and piping them into procurement systems, rather than replacing the storage repository.
- Objection: AI cannot be trusted with critical financial penalty terms. Rebuttal: Every extracted obligation retains a strict citation link back to the exact source sentence in the original PDF for one-click human verification.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Forensic and direct, stripped of unnecessary legal jargon.
**Tagline**: Turn vendor contracts into trackable procurement obligations.
**Icon Concept**: ledger
**Palette Intent**: institutional-cool
**Visual Identity**: A disciplined aesthetic using crisp navy and stark white typographic layouts that evoke structured legal margins.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B → Legal Operations → Procurement Managers
**Gtm Motion**: Acquires legal operations and procurement buyers by offering an initial audit of a historical contract batch to demonstrate baseline obligation capture. Expands through a usage-based model priced per extracted obligation on all net-new vendor agreements routed through the organization.
**Agent Channel**: Designed to list in the LangChain tool registry and OpenAI function calling directories as a structured obligation extraction endpoint, enabling autonomous legal review agents to query and retrieve specific vendor compliance requirements.
**Primary Channel**: Procurement technology integration directories (such as the Coupa App Marketplace or SAP Ariba partner ecosystem) where vendor management leaders search for contract compliance extensions.

## Startup Customer Journey

```mermaid
flowchart LR; A[Coupa App Marketplace] --> B[Historical Contract Batch]; B --> C[Obligation CSV Export]; C --> D[Procurement System API]; D --> E[Net-New Vendor Agreement]; E --> F[Autonomous Legal Agent];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day retrospective analysis pilot: Process 50 historical vendor contracts to prove the extraction engine identifies 100% of previously documented SLA penalties and renewal dates.
- 30-day live ingestion pilot: Map extracted payment terms from newly signed contracts directly into a sandbox procurement environment via API, validating that the structured output requires zero manual reformatting.
**Target Metrics**:
- Aim: 99% extraction accuracy for standard SLA and payment terms across IT vendor agreements.
- Target: 80% reduction in manual contract data entry hours for procurement teams.
- Target: 100% citation coverage, linking every extracted obligation to its exact source sentence in the original PDF.
- Aim: Under 3-second turnaround time from contract upload to formatted CSV export or API payload delivery.
**Target Case Studies**:
- Mid-market manufacturing Procurement Director: Transitioning from manual vendor SLA tracking in spreadsheets to automated extraction of penalty terms directly into SAP Ariba, ensuring no vendor penalties are missed due to human oversight.
- Enterprise IT Asset Manager: Uploading a backlog of over 500 SaaS agreements to extract renewal dates and payment terms, achieving immediate visibility into upcoming software renewals without requiring temporary paralegal hires.
- High-growth technology Finance Controller: Utilizing the volume-based API integration to automatically parse inbound vendor contracts for custom payment obligations, cutting the contract onboarding bottleneck.
**Testimonial Targets**:
- VP of Procurement: Praise that custom penalty clauses and renewal dates are accurately captured and piped directly into Coupa without requiring manual double-entry.
- IT Sourcing Manager: Confidence in the extraction outputs because the one-click citation link allows immediate verification against the source PDF.
- Chief Financial Officer: Appreciation for the usage-metered pricing that aligns data extraction costs exactly with the seasonal volume of vendor contracts processed.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: AI extraction misses a critical vendor penalty clause or hallucinates a compliance requirement, triggering automated procurement actions that create massive legal liability. · Mitigation Status: in-progress
- Severity: high · Description: Major procurement platforms like Coupa or SAP Ariba block API write-access to prevent third-party execution of purchase orders or contract renewals. · Mitigation Status: in-progress
- Severity: high · Description: Enterprise procurement teams reject the per-obligation pricing model because it creates unpredictable monthly software budget fluctuations. · Mitigation Status: unmitigated
- Severity: moderate · Description: Incumbents like Ironclad or Kira Systems build native downstream procurement integrations to nullify the execution differentiator. · Mitigation Status: unmitigated

## Startup Competitors

- [Ironclad](/Competitors/Ironclad) — Incumbent CLM
- [Kira Systems](/Competitors/Kira_Systems) — Legacy AI
- [Outsourced Counsel](/Competitors/Outsourced_Counsel) — Status Quo
- [Evisort](/Competitors/Evisort) — AI Contract Analytics
- [SirionLabs](/Competitors/SirionLabs) — Enterprise CLM

## Startup Solution Stack

- [Vendor Obligation Service](/Services/Vendor_Obligation_Service) — Service-as-Software
- [Contract Parsing Agent](/Agents/Contract_Parsing_Agent) — Agent
- [Obligation Normalization Agent](/Agents/Obligation_Normalization_Agent) — Agent
- [Document Ingestion Engine](/Software/Document_Ingestion_Engine) — Software
- [Procurement Execution API](/Software/Procurement_Execution_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic partner who prevents budget leaks, not the clerk auditing PDFs
- **Want**: to track every vendor SLA and renewal date automatically
- **Identity**: enterprise procurement managers
**Plan**:
- Step: Upload · Detail: Drop your executed PDFs or IT vendor agreements into the secure processing queue.
- Step: Inspect · Detail: Review the extracted SLAs and payment terms with direct citation links to the source text.
- Step: Export · Detail: Push normalized obligation data directly into SAP Ariba or download a procurement-ready CSV.
**Guide**:
- **Empathy**: When a hidden penalty clause triggers because of a missed deadline in a PDF, the procurement budget takes the hit.
**Problem**:
- **Villain**: unstructured legal text
- **External**: Tracking contract obligations requires manual data entry from Ironclad PDFs into Coupa or SAP Ariba spreadsheets
- **Internal**: You feel exposed knowing a missed renewal or uncollected penalty is hiding in your contract repository
- **Philosophical**: Every procurement lead deserves actionable data from their agreements — not a pile of static legal documents.
**Success**: Your vendor obligations live as line items in your procurement system, ready for automated tracking and zero-leakage renewals.
**One Liner**: What if your vendor contracts updated your procurement system automatically? Councet extracts and normalizes every obligation, preventing budget leaks from missed SLAs.
**Positioning**:
- **So That**: turn static legal text into trackable line items in procurement systems
- **Unlike**: manual contract auditing or CLM repositories
- **For Whom**: enterprise procurement and vendor management teams
- **Category**: Automated contract obligation extraction
**Call To Action**:
- **Direct**: Extract active obligations
- **Transitional**: Download sample SLA schema
**Failure Stakes**:
- Missed renewal deadlines
- Unclaimed service level credits
- Manual data entry errors
**Transformation**:
- **To**: one of the few procurement managers who govern vendor performance through live data
- **From**: a procurement lead buried in Ironclad repositories
**Controlling Idea**: Contract clauses should be executable data points, not static text in a repository.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if your vendor contracts updated your procurement system automatically? Councet extracts and normalizes every obligation, preventing budget leaks from missed SLAs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: e55729cd6171767b

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated contract obligation extraction for enterprise procurement and vendor management teams. Unlike manual contract auditing or CLM repositories — turn static legal text into trackable line items in procurement systems.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: f44aae9f5637d23e

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Tracking contract obligations requires manual data entry from Ironclad PDFs into Coupa or SAP Ariba spreadsheets
Solution: What if your vendor contracts updated your procurement system automatically? Councet extracts and normalizes every obligation, preventing budget leaks from missed SLAs.
Customer: enterprise procurement and vendor management teams
Unlike: manual contract auditing or CLM repositories
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: ee36663a9fd1a928

## Startup Token M E D D P I C C

**Pain**: Tracking contract obligations requires manual data entry from Ironclad PDFs into Coupa or SAP Ariba spreadsheets
**Metrics**: Target: Your vendor obligations live as line items in your procurement system, ready for automated tracking and zero-leakage renewals.
**Rendered**: Pain: Tracking contract obligations requires manual data entry from Ironclad PDFs into Coupa or SAP Ariba spreadsheets
Economic buyer: Legal Operations
Metrics: Target: Your vendor obligations live as line items in your procurement system, ready for automated tracking and zero-leakage renewals.
Competition: manual contract auditing or CLM repositories
**Mechanism**: spine-derived-v1
**Competition**: manual contract auditing or CLM repositories
**Economic Buyer**: Legal Operations
**Vocab Fingerprint**: ff53eb95b58b35ae

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated contract obligation extraction for enterprise procurement and vendor management teams

enterprise procurement and vendor management teams — Tracking contract obligations requires manual data entry from Ironclad PDFs into Coupa or SAP Ariba spreadsheets What if your vendor contracts updated your procurement system automatically? Councet extracts and normalizes every obligation, preventing budget leaks from missed SLAs.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 25b1868577f8cd81

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated contract obligation extraction. What if your vendor contracts updated your procurement system automatically? Councet extracts and normalizes every obligation, preventing budget leaks from missed SLAs. Serves enterprise procurement and vendor management teams.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 4efc1582ea311822

## Neighborhood

### Candidate solutions

- [Bioinformatics Talent Sourcing](/Problems/Bioinformatics_Talent_Sourcing) — candidate solution for · Problems

### Composed of

- [Vendor Obligation Service](/Services/Vendor_Obligation_Service) — composes · Services
- [Contract Parsing Agent](/Agents/Contract_Parsing_Agent) — composes · Agents
- [Obligation Normalization Agent](/Agents/Obligation_Normalization_Agent) — composes · Agents
- [Document Ingestion Engine](/Software/Document_Ingestion_Engine) — composes · Software
- [Procurement Execution API](/Software/Procurement_Execution_API) — composes · Software

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Competitors

- [Ironclad](/Competitors/Ironclad) — competes with · Competitors
- [Kira Systems](/Competitors/Kira_Systems) — competes with · Competitors
- [Outsourced Counsel](/Competitors/Outsourced_Counsel) — competes with · Competitors
- [Evisort](/Competitors/Evisort) — competes with · Competitors
- [SirionLabs](/Competitors/SirionLabs) — competes with · Competitors

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