Über Soba Labs

Maßgeschneiderte KI-Software für Geschäftsprobleme, die eine Lösung verdienen.

Soba Labs is an AI-native software development agency. We build custom AI software, agentic systems, and workflows that solve real business problems for mid-sized and growing companies. One engagement takes a valuable business problem through strategy, build, launch, and adoption.

Festpreis. In Ihrem Technologie-Stack. In Ihrem Besitz.

YOUR BUSINESS, CONNECTEDYour documentsYour toolsWork completedHuman reviewEXCEPTIONSYOUR ENVIRONMENT · YOUR OWNERSHIP
Ausgewählte Kundenprojekte

Diese Systeme sind bereits im Einsatz.

Produktive Systeme und betriebliche Verbesserungen für die folgenden Unternehmen. Jede Fallstudie beschreibt das Problem, die Arbeit und das Ergebnis.

Was wir entwickeln

Software, die die Arbeit erledigt. Menschen, die sie nutzen können.

Maßgeschneiderte KI-Software

We turn a valuable business workflow into software built around your process, data, and existing tools. That can mean qualifying enquiries, retrieving company knowledge, reviewing documents, or coordinating work across systems.

Ihr Team behält Entscheidungen und Freigaben dort, wo sie wichtig sind.

Ihren Ablauf besprechen

KI-Schulungen für Unternehmen

Practical training in the tools your people already use, with your documents and real tasks. Business teams learn to apply AI in their daily work. Engineering teams learn to work effectively with coding assistants.

Das Ziel ist die Nutzung im Arbeitsalltag.

Schulungen ansehen
Wo wir helfen können

Beginnen Sie mit der Arbeit, die sich ändern muss.

You do not need to arrive with an AI specification. Bring the process, the bottleneck, and the people who know it.

  • One workflow holds everything up

    Quotes, onboarding, reviews, or customer questions depend on a few people. Information is scattered, and the work behind them keeps waiting.

  • Your automations keep breaking

    A changed form or supplier document interrupts the process. Your team spends more time repairing the automation than benefiting from it.

  • The AI pilot never reached production

    The demo worked, but ownership, integration, operating costs, and failure handling are still unresolved. The team needs a system it can actually run.

Zusammenarbeit

Ein Projekt bis zur erfolgreichen Einführung.

We define the useful outcome before we quote the build. Sometimes the right first decision is to improve the process or the data before adding AI.

  1. Verstehen

    Find the workflow worth changing, agree the outcome, and scope the work.

  2. Entwerfen

    Map the data, integrations, and human decisions the system needs.

  3. Entwickeln

    Develop and test the software against the agreed work and its failure cases.

  4. Einführen

    Launch in your environment and help your team adopt the system.

  5. Betreiben

    Monitor and improve the system as your workflow changes, when separately scoped.

A defined outcome at a fixed price

You agree the scope and price before the build starts. Overrun risk for that scope stays with Soba Labs.

Your environment and your ownership

We integrate with the stack you already run where appropriate. The code, prompts, and operating runbook belong to you.

Ongoing monitoring, maintenance, operation, and improvement are available when separately scoped. How we price the work

Wer wir sind

A development partner that works the way it builds.

Based in Wrocław, Poland, and working globally, Soba Labs is a team of official LangChain Ambassadors and Experts. We bring architecture, implementation, evaluation, and adoption together around the client's business problem.

Our LangChain expertise EN
Gründer

Simon Budziak

Gründer und CEO

Simon Budziak

An official LangChain Ambassador for Poland and a former CTO, focused on retrieval, agent workflows, and evaluation. Simon leads the build practice and writes about getting AI into real business processes.

Connect on LinkedIn
So arbeiten wir selbst

Wir sind unser erster Kunde.

  1. Do the work
  2. Record what happened
  3. Improve the next run

Soba Labs runs as a closed loop: every call, decision, and deliverable becomes queryable state in markdown, git, and Postgres. Our own agents handle the middle, and people keep the judgment. Wir arbeiten selbst mit dem System, bevor wir es verkaufen.

Gibt es einen Ablauf, den wir verbessern sollten?