AI consulting in Berlin
Updated: 2026-11
Berlin startups often ship an impressive AI demo and then struggle in production: answers drift, costs grow with usage, and enterprise customers ask about the AI Act. We help take AI features to production with a test set, cost tracking per feature, guardrails and a documented AI Act classification, in English.
Your region: Berlin
Berlin’s startup scene builds AI into products at high speed. The step from prototype to a feature customers rely on is where teams lose time: there is no shared definition of a good answer, model changes break behaviour, and the margin per user is unknown until the bill arrives.
Our own SaaS products run AI features in production, so we bring practice rather than theory. Germany’s KI-MIG has applied since July 2026 and names the Federal Network Agency as central supervisor. We work remotely from Zug with teams across Berlin.
How we deliver
Evaluation before scale
A test set of real cases defines what good looks like, and every prompt or model change is measured against it.
Cost per feature
Token usage is tracked per feature and customer, so pricing can reflect what AI actually costs to run.
AI Act answer for customers
Your role, transparency duties and high-risk status are documented in a form enterprise buyers can review.
Why Innopulse
- —AI features in production in our own products.
- —Evaluation as a fixed part of every project.
- —Remote from Zug, working in English.
Parent service: AI consulting & integration
Matching offers
Production readiness review for LLM features
The review checks an LLM feature before launch for what demos do not show: prompt injection attacks, quality measured against a fixed evaluation set, data flows and contracts with model providers, cost per use, monitoring and AI Act classification. The result is a prioritised action plan.
AI opportunity assessment
The AI opportunity assessment answers one question: where does AI bring measurable benefit in your company, and where not? We capture workflows with business units, rate use cases by benefit, feasibility, data and risk, and recommend the two or three worth doing first, classified under the AI Act and data protection.
AI chatbot on your own data
An AI chatbot on your own data answers questions from your documents, policies, product information or knowledge articles and cites the source. For customers on the website or staff on the intranet, with a permission concept, hosting in Switzerland or the EU, continuous quality measurement and the transparency notice the AI Act requires.
More regions
AI consulting in Vienna
Vienna hosts international organisations, NGOs and regional headquarters that work across many languages and large document collections. We build multilingual knowledge assistants that answer from your own documents with citations, respect access rights and keep data in the EU, with clear rules for confidential material.
AI consulting in Zurich
For companies in Zurich we combine practical AI with governance: assistants that answer from your own documents with citations, AI integrated into CRM, ticketing or Microsoft 365, and an inventory and risk classification that stand up to FINMA guidance and the EU AI Act. Swiss hosting is available where data requires it.
AI consulting in Munich
For companies in Munich we assess AI use cases, build retrieval-based assistants and integrate language models into existing systems. Every project includes classification under the EU AI Act; in Germany, the KI-MIG has made the Federal Network Agency the central market surveillance authority since July 2026, with BaFin covering the financial sector.
Compliance assessment in Vienna
International companies in Vienna face Austrian laws written in German: the NISG 2026 in force since 1 October 2026 with registration by the end of 2026, the GDPR with Austria’s DSG, the Whistleblower Protection Act and the Accessibility Act. Our compliance assessment establishes in English which apply to your Austrian entity and in what order to act.
More services in Berlin
FAQ
Does the AI Act apply to our startup?
If you place AI systems on the EU market or their output is used in the EU, yes. For most product features the main duties are transparency; high-risk cases are listed in Annex III.
How do we stop model updates from breaking our feature?
By pinning model versions where possible and running the test set before switching. Changes then become a measured decision rather than a surprise.
Can you work with our engineers rather than replace them?
Yes. We usually set up evaluation, architecture and guardrails together with your team and then hand over.