Sano Studio

AI Engineering Studio · Berlin

AI engineering from Berlin, built for production.

Sano Studio is a Berlin-based AI engineering partner for organizations that need more than a prototype. We design, build, and operate secure AI agents, automated workflows, and deeply technical products around real permissions, real data, and real operational constraints.

Engineering partner

From difficult brief to dependable system.

We work with leadership, product, and engineering teams to turn a valuable AI use case into an architecture that can survive production. That includes the model layer, application experience, integrations, evaluation, observability, and the boundaries around every automated action.

Our role can range from a focused technical discovery to complete product delivery. The work stays close to your team, your users, and the systems that already run the business.

  • AI product strategy and technical discovery
  • Architecture, prototyping, and production delivery
  • Model and infrastructure independence
  • Clear ownership and knowledge transfer

Secure by design

Boundaries are part of the architecture.

An AI system becomes operationally important when it can see internal context or act through company tools. We map those data flows and trust boundaries before implementation, then design permissions, approvals, audit trails, and safe failure paths around them.

This approach is particularly useful for regulated teams, public institutions, and companies handling personal, confidential, or commercially sensitive information.

  • Least-privilege access for users, services, and agents
  • Human approval for consequential actions
  • Testing against misuse and prompt injection
  • Observable, recoverable production workflows

Berlin and Europe

Local context, international engineering standards.

SanoAI GmbH is based in Berlin and works with organizations across Germany and Europe. German and English collaboration are both supported, from stakeholder workshops to technical documentation and delivery.

Our experience includes Fortune 500 environments, public-sector contexts, and products used at large scale. We bring the same rigor to a focused agent workflow as we do to a wider AI platform.

  • Berlin-based, working across Europe
  • German and English project delivery
  • Experience with enterprise and institutional constraints
  • Direct collaboration with senior engineers

A short path from uncertainty to working software.

01 · Frame the system

We identify the job, users, data, integrations, risks, and measurable outcome before choosing technology.

02 · Prove the hard parts

A focused prototype tests model quality, workflow fit, security boundaries, and operational feasibility.

03 · Engineer for operation

We build the product, integrations, evaluations, monitoring, documentation, and handover required for production.

Questions about working with an AI engineering studio

What is the difference between an AI studio and a traditional consultancy?

Sano Studio combines strategic work with hands-on engineering. We do not stop at a roadmap or slide deck: the engagement is structured around validating, building, and operating the actual system.

Can Sano Studio work with our existing engineering team?

Yes. We can own a complete delivery or work as a senior embedded team alongside your product, security, data, and engineering functions. Architecture and knowledge transfer remain explicit throughout the project.

Do you only work with companies in Berlin?

No. SanoAI GmbH is based in Berlin, and we work with organizations throughout Germany and Europe. Workshops and delivery can be remote, on-site, or hybrid.

Explore focused capabilities

AI Agent Engineering

Secure, role-specific agents connected to the tools and knowledge your team already uses.

AI Workflow Automation

Reliable multi-step workflows with clear permissions, approvals, and recovery paths.

Have a hard AI problem worth building properly?

Book a confidential conversation with Sano Studio. We will help you clarify the highest-value path from idea to secure production.

Discuss a project