THE COMPANY · STATION F · PARIS

We built AutomAssistbecause we livedthe problem.

A production line teaches you one thing fast: the data exists, the answers don't. We built AutomAssist to close that gap.

THE STORY

One team. Factory knowledge, agentic AI, and industrial software, together.

From 2021 to 2024, our CEO Nelson Atipo leads automation and digitalization on the 4680 battery assembly lines at Tesla's Berlin Gigafactory. There he makes the observation that will become the company's foundation: thousands of technical documents scattered across systems, languages, and formats, while production needs answers, right now.

Jean-Philippe Nitkowski and Lucien Moy are already entrepreneurs. Together they design and ship platforms at scale, internal and external, for big corporations. Jean-Philippe leads product and design, Lucien development and architecture. When AutomAssist is founded, Jean-Philippe becomes CPO, Lucien CTO. Antonio Ibars and Miquel Jimenez, engineers on the same lines as Nelson, complete the team.

The team is balanced: deep knowledge of Industry 4.0, industrial processes, and automation systems, paired with the expertise to build a platform that meets the scalability, deployment, and security demands of the world's largest factories.

In June 2024, AutomAssist is founded in Paris, so no one has to hunt for an answer that already exists.

The team

Meet our founders.

A complementary team, united by a common goal: make factories more efficient.

Nelson Atipo

Nelson Atipo

CEO · Co-founder

LinkedIn

Former Automation Lead for the 4680 battery assembly lines at Tesla Gigafactory Berlin, with deep industrial-automation experience from Multivac Production Spain — packaging, food & beverage — and Beckhoff Automation France. AI Ambassador @ « Osez l’IA » (French government). Brings cutting-edge expertise in large-scale automation and Industry 4.0 technologies.

Jean-Philippe Nitkowski

Jean-Philippe Nitkowski

CPO · Co-founder

LinkedIn

Repeat entrepreneur. Senior Product Manager, prompt engineer and UI/UX designer, with roles at Oppizi, Art-Confidential, Freelance.com, Zeway, Sanofi and JCDecaux. Expert at crafting user-centric products and intuitive interfaces for complex systems.

Lucien Moy

Lucien Moy

CTO · Co-founder

LinkedIn

Repeat entrepreneur. Fullstack web and native-apps developer, architecture engineer, web-tracking expert and data analyst, with a proven track record at Freelance.com, Zeway and Art-Confidential. Architects seamless, secure solutions — orchestrating frontend and API development into one cohesive stack.

RECOGNITION

Programs, partners, and recognition.

  • 01Microsoft for StartupsGenAI Studio · Station F · Paris
  • 02Azure MarketplaceListed · co-sell activated · MACC eligible
  • 03AI AmbassadorFrench Government · Osez l'IA
  • 04PwC FranceJBR partner
  • 05FAST GroupCertified reseller · GCC · Saudi Arabia
  • 06Advanced Factories 2025Finalist · Most Disruptive Startup · Barcelona
  • 07Global Industrie 2026Stand 5G133 · Start-up Village

OUR APPROACH

AI agents + a Knowledge Graph for your industrial data.

Beyond the team and the story, here is how AutomAssist actually works. We deploy one AI agent per data source — CMMS, ERP, SCADA, MES, production historians, technical documents — to index and make your industrial data queryable. Each agent keeps the specifics of its source system, which is why there is no heavy normalisation to do first.

Those agents are tied together by a Knowledge Graph that contextualises entities, equipment and processes. It lets you move naturally between incidents, parts, procedures and history — and get actionable answers faster than classic data pipelines allow. Because of this architecture, the solution is operational in days, not months, and sharply reduces the need for consulting and data preparation. It runs cloud-agnostic or on-premise, depending on your security constraints.

FAQ How the approach works.

  • It deploys one AI agent per data source and links them through a Knowledge Graph, which avoids the long centralised-normalisation phase. Existing connectors and guided configuration get you to a working system in days.
  • Both. The platform is cloud-agnostic and can be deployed on-premise where your security or regulatory requirements demand it.
  • It links the data each agent indexes — documents, work-order history, equipment hierarchy — so a fault connects to its procedure, its past fixes and the parts involved, and a question returns a traceable, contextual answer.

Ready to talk to your factory?