The right technology, integrated responsibly.
We select the technology stack based on your processes, existing systems and data requirements. Development, AI, integration and security follow one coherent delivery approach.
Discuss your architectureFrom the user interface to the AI layer.
Services & business logic
Automation & connections
AI & enterprise knowledge
Controls apply across the entire stack, from a user action to an API call or model response.
AI integrated with your applications and data.
Models and APIs
Experience with Claude Sonnet 4/4.5, Opus 4/4.5 and Haiku, OpenAI GPT models and Google Gemini. Integration through OpenAI API and Azure OpenAI.
Agents and automation
Agents perform multi-step tasks, call APIs and work with internal applications and enterprise data.
Documents and RAG
Search, summarization, classification, extraction and comparison. Embeddings and vector search connect models to company knowledge.
Private and on-premise AI
Local DeepSeek, GLM and Qwen models via Ollama for customers who require control of infrastructure, data and security.
Integration and adoption
AI embedded in customer applications and DNA. Support for teams adopting Microsoft Copilot, Gemini and OpenAI tools.
Selection backed by testing
We evaluate quality, latency, cost and customer security requirements on practical tasks before choosing a model.
We define boundaries before integration
Data and access
Define data boundaries, hosting and minimum necessary permissions with your security team.
Decisions and evidence
Specify which actions need a person’s approval. Record execution, decisions and exceptions.
Release and operation
Test recovery and fallback. Agree monitoring, escalation and operating responsibility before go-live.