Build AI-powered features that run on your existing data infrastructure without vendor lock-in.
Most companies treat AI as a separate product layer. We integrate LLMs and AI tooling directly into your data warehouse, operational workflows, and existing business logic.
This means your AI features have access to real-time data, respect your existing permissions and security models, and can trigger downstream actions in your core systems. No black boxes, no vendor lock-in.
We typically build around open-source models (Llama, Mistral) or provider-agnostic APIs (OpenAI, Anthropic) that you can swap out as the landscape evolves. The integration architecture matters more than the model choice.
Run inference directly on warehouse data with UDFs, avoiding data movement and API limits.
Build retrieval-augmented generation systems using your existing vector stores and indexes.
Embed LLM calls into operational workflows for classification, enrichment, and routing.
Set up continuous fine-tuning loops using production data and feedback signals.
Version control, A/B test, and monitor prompts across your application stack.
Implement guardrails, content filtering, and observability for production AI systems.
We build custom solutions tailored to your specific technical requirements and business constraints.
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