Obligence

AI Execution Intelligence for Complex Industrial Contracts

Obligence helps EPC contractors, industrial operators, and supplier-heavy businesses detect contractual risk earlier, reduce revenue leakage, and improve execution across complex projects.

The Problem: Fragmented Contract Execution

In large industrial and project-based businesses, contracts define how money, obligations, approvals, delays, and claims are managed. Once a contract is signed, execution becomes fragmented.

Buried Obligations

Obligations scattered across contracts, annexes, emails, and change orders — deadlines tracked manually.

Siloed Teams

Legal, finance, procurement, and project teams work from different data and disconnected tools.

Late Discovery

Disputes, missed obligations, and margin erosion are often discovered too late to act.

This creates avoidable losses through delayed payments, unmanaged change orders, missed contractual notices, weak claim preparation, and poor cross-team coordination.

The Solution: A Live Contractual Control Layer

What Obligence Does

Obligence provides an AI execution intelligence layer for complex industrial contracts. The platform ingests contracts, annexes, correspondence, payment documents, and project records — transforming them into structured obligations, deadlines, payment logic, and risk signals.

How It Helps Teams

  • Track obligations and deadlines
  • Identify emerging claim and dispute exposure
  • Monitor payment risk
  • Build evidence trails
  • Coordinate next actions across commercial, legal, and operational teams

The result: improved visibility, reduced execution risk, and faster, better-informed decisions during project delivery.

Innovation: Three Layers

Vertical Contract Intelligence

Deep understanding of EPC and supplier-heavy contract logic — notices, milestones, change orders, delay events, payment certificates, flow-down obligations, and claims.

Post-Signature Execution Focus

The highest-value problems start after signature, when contracts interact with real operations, timelines, approvals, and commercial decisions.

Explainable Enterprise AI

Each output includes traceability, source references, action logic, and confidence level — critical for enterprise adoption in regulated environments.

3 Core Use Cases

1

Obligations Tracker

Automatic extraction of contractual obligations, deadlines, approvals, and dependencies.

2

Change & Claim Copilot

Detection of events likely to trigger variations, delay exposure, or claims.

3

Payment Risk Monitor

Tracking of payment milestones, certificates, retention logic, and approval bottlenecks.

Single Control Tower

Unified contractual visibility across all projects

Early-Warning Alerts

Proactive risk flags before issues escalate

AI Support Packs

Generated for legal, commercial, and operational teams

Technical Architecture

Core Pipeline

Document ingestion: contracts, annexes, emails, change orders

OCR / parsing / structured extraction

LLM-based clause extraction and classification

Contract ontology: obligations, notices, milestones, payment terms, claim triggers

Vector search + rules engine connecting clauses to project events

MVP Tech Stack

Python backend

LLM APIs or open-weight models

Vector database

PostgreSQL for structured records

Lightweight web interface for review and validation

Competition & Differentiation

Market Size

€1.5B

TAM

European industrial/project execution software for companies managing complex contracts

€100M

SAM

France, Benelux, and European industrial groups — EPC contractors, operators, energy and engineering firms

€3M

SOM (36 months)

15–25 customers at €70k–€120k ACV, plus onboarding and enterprise modules

Bottom-up market model focused on complex contract execution in industrial and project-heavy sectors. Estimated SAM: €60M–€100M ARR. Realistic 3-year SOM: €1.5M–€3.0M ARR.

Why Now, Why France

Why Now

  • AI adoption moving from experimentation to workflow integration
  • Companies prioritizing AI with measurable ROI
  • Contract-heavy execution remains highly manual across industrial sectors
  • Rising demand for explainable and auditable enterprise AI

Why France

  • One of Europe's strongest AI ecosystems
  • Large industrial and construction base — ideal first customers
  • Strong environment for B2B software adoption and international scaling
  • Attractive launchpad for a European enterprise software company with industrial specialization

Business Model

Revenue Streams

Annual Subscription

Platform fee — priced by projects, contracts, or users. Enterprise tier for advanced controls and private deployment.

Onboarding Fee

Data mapping, integrations, and initial configuration.

Premium Modules

Claims intelligence, payment risk analytics, advanced reporting, API/connectors.

Indicative Pricing

Pilot

€15k – €30k

Annual Subscription

€60k – €120k ARR

Enterprise Tier

€150k+ ARR

Go-to-Market Strategy

First Target Customers

  • EPC contractors
  • Industrial project owners
  • Energy and engineering services firms
  • Large suppliers with complex contractual workflows
  • Project-intensive midmarket and enterprise companies

Sales Approach

  • Founder-led sales
  • Targeted enterprise introductions
  • Champions in legal, commercial, project controls, and procurement
  • Partnerships with implementation and project advisory firms

The Team

Aleksei Siutkin

CEO

  • 10+ years in EPC, infrastructure, SPVs, and cross-border project structures
  • Background across Lukoil Overseas, RZD International, HSR and development projects
  • MBA, Grenoble École de Management

Nikita Diakov

CMO

  • Background in Alfa Bank, Citi, asset management, and business development
  • Experience in financial services, relationship management, and commercial growth
  • Strong profile for enterprise sales and strategic partnerships

Roadmap

1

Next 6 Months

  • Secure 3–5 design partners
  • Build MVP on real anonymized document sets
  • Launch first pilot in France or EU
  • Finalize EPC contract ontology
  • First integrations: SharePoint, email, Excel, API
2

Next 12 Months

  • Run 5–8 pilots
  • Convert 2–4 customers to paid annual contracts
  • Strengthen product repeatability by workflow and sector
  • Expand claims and payment risk modules
  • Build reusable enterprise integration templates
3

Next 24 Months

  • Expand across France and selected European markets
  • Scale into a multi-module execution intelligence platform
  • Deepen AI models for contractual risk prediction
  • Reach repeatable midmarket and enterprise sales motion

Let's Build the Future of Contract Execution