One Architecture · Multiple Verticals

Enterprise AI for
Hard Problems

Document intelligence. Combinatorial optimization. Legal forensics. One unified engine, deployed across six industry verticals. Request a Shadow Pilot — 3–4 weeks of parallel testing on your own data.

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Active Modules
Powered by a Unified Architecture
A single core engine — LLM orchestration, schema-constrained extraction, combinatorial optimization — deployed across six industry verticals. Each module is production-ready and available for a Shadow Pilot.
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Document Intelligence
Document Intelligence Platform
Converts unstructured PDFs, scanned documents, and legacy files into validated, structured JSON. Multi-page table stitching, domain-specific parsers for insurance policies, academic CVs, and grant applications. Benchmarked against PubTables-v2.
PDF Extraction Table Stitching Multi-Domain
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Legal Tech
Legal Document Analyzer
Forensic evidence system for employment disputes. Ingests emails, reviews, and HR files. Automatically detects contradictions, tests hypotheses with built-in falsifiability, and produces span-cited, SHA-256-verified evidence.
Contradiction Detection Verified Citations
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Combinatorial Optimization
Autonomous Negotiation Engine
Fully autonomous negotiation platform combining game theory, combinatorial optimization, and agentic reasoning. Proven in real-world multi-party scenarios with measurable outcome improvements.
Game Theory Multi-Party Autonomous
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Process Engineering
NeuroSymbolic P&ID Compiler
Automatically generates Piping & Instrumentation Diagrams using neurosymbolic reasoning, combinatorial optimization for equipment placement, and multimodal interpretation of process specifications. Standards-aware (ISA-5.1).
NeuroSymbolic P&ID Generation ISA-5.1
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Text Intelligence
SME Studio — No-Code Text Intelligence
A workspace for subject matter experts to classify, extract, and summarize unstructured text at scale — no data science team required. Upload a CSV, define your taxonomy or schema, and batch-process thousands of rows with JSON Schema-constrained outputs, confidence scores, token-level citations, and a human-in-the-loop review queue. Full experiment tracking via MLFlow.
Classification Extraction Summarization Multi-LLM
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Scholarly Publishing
ReviewerAssign + Conference Optimizer
Multi-agent AI system for peer reviewer matching using semantic search, citation graph analysis, and predictive digital twins. Includes ILP-based batch-optimal assignment and conference session clustering for accepted papers.
Multi-Agent Citation Graph ILP Optimization
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Process
How the Shadow Pilot Works
01
Request Access
Tell us which module you're evaluating and a brief description of your use case. We'll follow up within 24 hours with access credentials and a mutual NDA.
02
Run in Parallel
3–4 weeks of full hosted access, completely isolated from your production systems. Use the API or web interface with your own data. We process — we don't store.
03
Evaluate Results
Measure accuracy, speed, and integration fit against your actual workload. No credit card. No commitment. If the results hold up, we discuss licensing or acquisition.
13+
Production Systems Built
6
Industry Verticals
3
Cloud Platforms (AWS · Azure · GCP)
0
Your Data We Store
About
Meet the Founder
Emmanouil Troullinos
Emmanouil Troullinos
Founder
📍 Greece

Domi Systems builds production AI systems for enterprises dealing with hard, unstructured problems — messy documents, complex assignments, adversarial analysis. We combine LLM orchestration, mathematical optimization, and multi-agent architectures into systems that work in production, not just in demos.

Every module on this platform is built for real deployment: infrastructure-as-code, CI/CD pipelines, comprehensive test suites, and security-first design. One unified architecture, rigorously tested, deployed across multiple industry verticals.

Document AI — PDF, DOCX, scanned, multi-page tables
Optimization — ILP, game theory, assignment problems
LLM Systems — Multi-agent, agentic workflows, RAG
Cloud — AWS, Azure, GCP, Terraform, serverless
Get Started
Request a Shadow Pilot

Choose any module above. 3–4 weeks of fully hosted parallel testing, no credit card, no commitment. Your data stays yours. Mutual NDA signed before any data exchange.

Open Shadow Pilot Request Form →
or reach out directly
📧 manos@domi-systems.ai

Typically respond within 24 hours. Every Shadow Pilot begins with a mutual NDA — your data security is non-negotiable.