Trusted by
Enterprise Agentic AI
Enterprise AI that earns its autonomy — for healthcare.
Mantix Platform Architecture — Observe · Learn · Automate
Trusted by
The Problem
80% of enterprise workflows exist only in the UI — invisible to any AI agent. Today's tools guess at logic, break on edge cases, and bypass native permission models. You cannot automate what you cannot see. Mantix observes first, automates second.
Process Graph
Every agent built before Mantix was built on assumptions. It knows the happy path. The
moment it hits a branching condition, a permission boundary, or a real-world edge case — it
fails.
Mantix captures the complete semantic structure of every workflow: every branch, every condition, every
exception — built from real human interactions, not guessed. That’s what turns fragile
automation into production-grade agentic intelligence.
Full Semantic Capture
Every branch, every condition, every exception — captured with its full semantic context. Not a surface-level script. A structural model that understands the logic, not just the steps.
Production-Grade Robustness
Where other agents hallucinate on edge cases and fail on exceptions, Mantix executes deterministically — because it learned from the exact workflows your team runs every day.
Compounding Intelligence
Every interaction makes the model more accurate. Every edge case it learns widens the gap with tools that never observed your workflows in the first place.
How It Works
"We don't automate what we don't understand."
A lightweight snippet captures every UI state and action across any enterprise application. Works with any stack — Java, React, Angular, web & desktop etc.
No backend changes · No API · Live instantlyReal interactions build a machine-readable process graph — a weighted structural map of how your application actually works, including every exception.
AI-ready process specification for every workflowThe process graph powers agents that turn accumulated knowledge into deterministic action, creating new ways to interact with existing software within trusted boundaries.
Deterministic execution · Stays within known boundariesWhy Mantix
Most enterprise AI tools are cloud-based overlays that guess at your workflows. Mantix takes a fundamentally different approach.
Unlike generic agents that "blindly" guess UI logic, Mantix has native visibility into real human workflows, capturing every interaction natively before acting.
Earned and Safe · No guessingWhile brittle execution fails on branching logic, Mantix builds a structural process model mapped from actual user interactions for resilient, deterministic action.
Resilient by design · Zero brittle executionSafety shouldn't be bolted on. Every action Mantix invokes is guarded by enterprise-approved boundaries, protecting permissions and trust at the UI layer.
Permission-native · Trusted boundariesSee It In Action
Watch Mantix demo running in real enterprise environments.
Customers
Proven in production. Pilots active with Intervista AG (live deployment).
“With Mantix we have a flexibly adaptable AI assistant we can give additional knowledge to without any complications — without having to adapt our web content. We react quickly to feedback and continuously optimise customer communication.”
“Mantix turned our website into a real dialogue platform. Instead of rigid FAQs we now offer interactive, context-based answers — automatically, around the clock. The integration was surprisingly simple, and the results speak for themselves.”
“Our rule-based processes now connect seamlessly with free, unstructured communication. The AI-based assistant recognises customer needs and routes them automatically to structured processes — a convincing approach and a partnership with prospects.”
Competitive Landscape
Every category of enterprise AI tool misses at least one critical capability. Mantix is the only solution that covers all seven.
| Task Automators UiPath, Zapier |
Big Tech Co-Pilots MS Copilot, SAP Joule |
Orch. Backends LangChain, CrewAI |
Vertical Agents Salesforce, ServiceNow |
Mantix | |
|---|---|---|---|---|---|
| Structural process model | ✕ | ✕ | ✕ | ▲ partial | ✓ |
| Native UI integration | ▲ partial | ✕ | ✕ | ✕ | ✓ |
| Process learning over time | ✕ | ▲ partial | ✕ | ▲ partial | ✓ |
| EU data sovereignty | ▲ partial | ✕ | ▲ partial | ✕ | ✓ |
| White-label capable | ✕ | ✕ | ✓ | ✕ | ✓ |
| Live in days, not months | ✕ | ✓* | ✕ | ✓ | ✓ |
| Platform agnostic — any stack | ▲ partial | ✕ own ecosystem only | ✕ | ✕ | ✓ |
* Limited to own ecosystem only
The Team
Co-Founder & CEO
Co-founded SAP’s first enterprise AI unit in 2014 — years before the market understood what that meant — and built the Leonardo ML Foundation, SAP’s AI platform serving thousands of global organizations. As VP AI Technology, he shipped production-grade AI at a scale few startups ever reach before founding their own company. A recognized authority on responsible AI governance: EU Commission Expert, German Enquete Commission on AI, and Bitkom AI Council member.
Co-Founder & CTO
Director of Enterprise AI Research and former SAP Distinguished Scientist. Holds a PhD from TU Munich and conducted advanced AI research at Harvard and MIT. Expert in NLP, tabular data, and agentic AI architecture. Member of the European Laboratory for Learning and Intelligent Systems (ELLIS).
Research
Our founders have published two whitepapers on the agentic enterprise — one on the economic and architectural impact of autonomous AI agents, and one on the fundamental challenge of context alignment in agentic UI systems.
Whitepaper · arXiv:2602.21401 · February 2026
The Headless Firm: How AI Reshapes Enterprise Boundaries
Vision Paper · cs.AI · February 2026
Position: Context Alignment Is a First-Class Learning Problem in Agentic UI
Get Started
No backend changes required. Integrates with any existing enterprise application. Any stack — Java, React, web & desktop etc.
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