Resources

Resources for embedded intelligence.

Essays, research, and company context for teams adding agentic workflows inside products their customers already use.

Execute

How software can complete multi-step work inside existing products.

Guide

How complex workflows become easier without replacing the system of record.

Learn

How customer behavior reveals feature demand and automation opportunities.

Insights

Essays on the intelligence layer.

Explore the product, economic, and architectural logic behind software that helps customers finish work faster.

Substack

AI Agents Never Graduate from Onboarding

They learn the manual. They never get to day two.

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Substack

The Mediocrity Tax: Why the Economic Logic Behind Enterprise Software Has Finally Collapsed

The replacement is not a better suite. It is a different logic entirely.

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Substack

The Layer Nobody Is Building

Every platform era has a piece of infrastructure that becomes obvious only after someone builds it. For agentic AI, that moment is now.

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Research

The research behind embedded autonomy.

Two papers from the founders on the economic and architectural shift behind agentic software. One on autonomous AI agents and enterprise boundaries. One on the context alignment problem inside dynamic product interfaces.

Whitepaper · arXiv:2602.21401 · February 2026

The Headless Firm: How AI Reshapes Enterprise Boundaries

01 — Coordination Collapse: AI drastically reduces integration overhead from exponential to linear, making modular, agentic delegation economically sustainable.
02 — Headless Architecture: A new enterprise equilibrium defined by a personalized generative UI, a standardized protocol waist, and a competitive market of execution agents.
03 — Outcome-Based Verification: Integration moves away from manual bilateral governance toward protocol-mediated tool access and outcome-based verification.
arXiv Abstract → Read PDF →
Featured on AI For The C Suite · “The Disappearing Middle”

Vision Paper · cs.AI · February 2026

Position: Context Alignment Is a First-Class Learning Problem in Agentic UI

01 — The Context Gap: Larger LLM context windows alone do not solve agentic UI. Agents must learn to synchronize their internal state with dynamic, partially observable interfaces.
02 — Temporal Drift: The gap between an agent’s world model and the actual UI state at execution time is a critical and underexplored failure mode.
03 — Context Alignment Framework: A four-layer taxonomy for how agents should learn to navigate and manipulate complex enterprise software.
Read Whitepaper →

Founders

The team behind Mantix.

Co-Founder & CEO

Dr. Sebastian Wieczorek

12+ yrs enterprise AI @ SAP VP AI Technology & ML Foundation PhD TU Berlin EC & German Govt AI advisor

Co-founded SAP’s first enterprise AI unit in 2014, years before the market caught up, 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 reach before founding their own company. A recognized authority on responsible AI governance, with appointments to the EU Commission, the German Enquete Commission on AI, and the Bitkom AI Council.

Ex-SAP VP AI Technology PhD TU Berlin EU Commission AI Expert German Enquete Commission AI Bitkom AI Council

Co-Founder & CTO

Dr. Tassilo Klein

10+ yrs AI Research @ SAP Director SAP ML Research PhD TU Munich · Postdoc MIT & Harvard ELLIS member · Enterprise AI Research

Former Director of AI Research at SAP. Holds a PhD from TU Munich and conducted postdoctoral research at MIT and Harvard. Expert in NLP, tabular data, and agentic AI architecture. Member of the European Laboratory for Learning and Intelligent Systems (ELLIS).

Ex-SAP Director of AI Research ELLIS Member PhD TU Munich Harvard & MIT Researcher NLP & Tabular Data Agentic AI