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

Sufficient to demonstrate the core value: turning unstructured contract data into actionable execution intelligence.
Competition & Differentiation

Obligence sits between CLM and project controls as a vertical AI decision layer for complex contract execution — with deep domain expertise, no rip-and-replace requirement, and enterprise-ready deployment for France and Europe.
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

Initial Wedge: Focused pilot on obligations + change-order risk detection — clear ROI without full system replacement.
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