Language models, copilots and retrieval embedded into the products, ERP, CRM and support tools you already run, with evaluation, cost control and security from day one.
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AI integration
Most companies do not need a new AI product. They need AI inside the product, the CRM, the ticketing system and the document store they already have, where the data and the users are.
We integrate Claude, OpenAI and open-source models through typed APIs, build retrieval over your data with version and access control, expose your systems to models through MCP servers and tool interfaces, and wrap it all in evaluation and observability.
We decide between fine-tuning, retrieval and scaffolding per use case, a decision matrix we explain on our YouTube channel, and we measure every integration by task success rate, cost per task and latency.
Who we work with
Copilots and AI features inside an existing product.
AI on top of SAP, Dynamics, Salesforce and internal tools.
Private deployments with access control and audit trails.
Assistants with compliance gates and evaluation.
Agents that read manuals, telemetry and service history.
What we build
Claude, OpenAI, Gemini and open-source models behind one typed interface with routing and fallbacks.
Retrieval pipelines with chunking, metadata filters, versioning and citations.
AI features inside your web and mobile apps with UX that users adopt.
Expose ERP, CRM, ticketing and databases to models safely through Model Context Protocol.
Datasets, LLM-as-judge scoring, tracing and release gates in CI.
Prompt caching, model routing, batching and budgets per feature.
Typical challenges
The problems we meet most often in ai integration projects, and how our teams solve them.
Our approach:
One retrieval layer with connectors, access control and freshness.
Technology
The stack we use for ai integration: proven, maintainable and chosen for your product, not for fashion.
Models
Integration
REST APIsRetrieval
Platform
Node.js
.NET
AWS
Azure
DockerWe combine technical expertise, product thinking and a flexible approach to help businesses build reliable digital products and solve complex challenges with confidence.
Experienced engineers, designers and product specialists working on complex digital products.
We look beyond individual features and consider how technology supports the wider business and user experience.
From full product development to extending an existing engineering team.
We take responsibility for the quality of what we build — from technical decisions to final delivery.
An AI agent integrated into Zendesk and the product's admin API that resolves routine support tickets end to end, escalates with full context and is measured by an evaluation set of real conversations.
View Case StudyAn agentic procurement assistant for a European industrial group: it reads supplier offers, compares RFQ responses against specifications, drafts clarifications and routes approvals through SAP, cutting quote evaluation from days to hours.
View Case StudyA retrieval-augmented assistant for the quality-assurance department of a pharmaceutical manufacturer: it answers questions over SOPs, batch records and audit reports with citations, inside the company's private cloud.
View Case StudyAn internal evaluation and observability platform for a fintech's customer assistant: regression suites, LLM-as-judge scoring, production tracing and release gates that let the team ship model changes weekly instead of quarterly.
View Case Study
LLM workflow agents for an industrial equipment maker: they read service tickets, telemetry and manuals, propose a diagnosis and parts list, and route anything irreversible to a human, auto-resolving 71% of tickets.
View Case Study
A European third-party logistics group ran 14 ERP instances inherited from acquisitions. We consolidated them into one S/4HANA core with an event-driven integration layer and an AI-assisted data migration, cutting the order-to-cash cycle by 38%.
View Case StudyLLM agents that operate inside your processes with tools, approval gates and audit trails.
Computer vision, generative AI and intelligent automation built around a measurable business outcome.
Predictive models, recommendation engines and production ML pipelines from your data.
End-to-end development of business systems, internal platforms and integrations.
FAQ
Have a project in mind or looking for the right technology partner? Tell us what you're working on, and our team will get back to you to explore how we can help bring it to life.