The models and frameworks we build with
We're model-agnostic: every system is benchmarked on your real data and designed so you can switch providers as the landscape changes.
OpenAI
GPT models for chat, reasoning, vision, and embeddings.
- GPT-powered assistants
- Tool-calling agents
- Document & vision workflows
- Semantic search
Anthropic Claude
Claude models for long documents, coding, and careful reasoning.
- Long-document analysis
- Agentic workflows
- MCP integrations
- Writing & support assistants
Google Gemini
Gemini models for multimodal AI on Google Cloud.
- Multimodal processing
- Workspace assistants
- Embeddings & search
- Vertex AI deployments
LangChain & LangGraph
Frameworks for RAG pipelines and stateful AI agents.
- RAG pipelines
- Stateful agents
- Human-in-the-loop flows
- Tracing & evaluation
Open-Source LLMs
Llama, Mistral, and other models hosted in your own cloud.
- Private AI assistants
- Fine-tuned models
- High-volume pipelines
- On-device & edge AI
Not sure which model fits?
We'll benchmark the options on your own examples and recommend one.