Our Products

Our Products

Our Products

Five platforms and agent systems DaiL runs in production — the same AI-native software we build for the Mittelstand, in beta and live today.

Platforms and agents in production

Platforms and agents in production

Platforms and agents in production

Five systems that run DaiL and our clients — extracting knowledge, shipping code, and keeping the studio in motion.

BETA

DAIL OS

The company brain, in your pocket.

On-device speech-to-text in German and English; audio never leaves the device

Six-entity extraction from every conversation, not just a transcript

A workspace compiled per role, not one dashboard for everyone

Connectors to the mail, chat, and project tools the team already runs

In-app avatar agents for hands-free questions and briefings

LIVE

Mia

An autonomous multi-agent development team in your terminal.

Command-driven agents for planning, implementation, QA, and debugging

Test-driven development enforced across the whole fleet

Parallel execution with isolated worktrees, no cross-contamination

A recursive verify mandate: real tests and screenshots before “done”

Runs on sovereign, EU-hosted models

LIVE

Alvar Knowledge

The knowledge platform that only says what it can source.

Citation existence validated by the system, not promised by the model

Unsupported statements discarded before they reach the user

Inline citations that resolve to the exact source passage

Opt-in, anonymized Common Pool across institutions

Row-level security across the data layer

LIVE

DaiL Studio

The CRM that updates itself from your conversations.

Self-updating records from meeting intelligence, no manual data entry

Vertical-aware pipelines for a diverse client base

Separate tracks for delivery and for equity or partnership deals

Companies, contacts, and deals in one connected model

LIVE

River Monster

Project River Monster

A near-fully-automated agency you can visit.

Curator turns finished meetings into structured tickets automatically

Observability runs a daily sweep across code, cost, security, and health

Operating-rhythm agents handle the studio’s recurring coordination

An explorable island interface where each agent is a character

Humans stay in the loop on the decisions that matter

Answers to Your

Answers to Your

Answers to Your

Questions

Questions

Questions

Find clear answers about how our AI systems work and how they help teams grow faster together.

What is DaiL and what do you do?

DaiL — Düsseldorf AI Lab — is an AI-native software studio and KI-Engineering Lab. We build custom AI agents, enterprise automation, and production software for the German-speaking Mittelstand, and we productize what is worth productizing. Working software in weeks, not months, on sovereign, DSGVO-compliant European infrastructure.

How is DaiL different from a large IT consultancy?

No discovery theatre, no staff augmentation, no layers of project managers. We are AI-native from the ground up, with senior engineers on your project directly, fixed-price packages, and full data sovereignty — everything hosted inside the EU.

What is the RAE Framework?

Rapid-AI-Engineering — our six-step method: Discover, Define, Design, Build, Validate, Deploy. The Build step is a two-to-four-week sprint in our Co-Lab, with time-to-value under eight weeks and a clean know-how transfer at the end.

How long does a project take?

Prototypes in days. Agents and automations in one to two weeks. Platforms and MVPs in four to six weeks. Complex enterprise systems in eight to twelve. You see working software early and often.

Is my data safe and DSGVO-compliant?

Yes. Data sovereignty is a design constraint, not a disclaimer. We use EU-hosted model variants and European infrastructure, sign the necessary data-processing agreements, and keep IP-sensitive concepts inside protected, EU-only environments.

Which industries do you work with?

Healthcare and pharmacies, foundations and NGOs, law and tax firms, sports clubs, education and impact, textile manufacturing, and automotive — focused verticals where we know the workflows, the systems, and the regulation.

Is this only for large companies?

Ideal for small teams wanting scalable automation without increasing overhead or operational complexity.

How do we get started?

Simply reach out with your goals and workflows, and we’ll evaluate where AI automation can create the biggest impact for your team.