AI Development Company

AI integration services include eval set design, prompt engineering, model routing across OpenAI and Anthropic, RAG pipelines over your private data, cost ceilings per tenant, and observability via LangSmith or Helicone. Every integration ships with a kill switch.

AI features. We do not bolt chatbots onto landing pages. We build LLM-powered workflows inside the products you already ship — operator triage, customer-side suggestions, RAG over private data, AI-powered classification — with eval coverage, cost ceilings, and audit logging from day one.

We offer AI consulting services as part of every AI development engagement. Most clients start with a two-week consulting sprint to identify the highest-leverage AI feature and whether the eval set is honest before committing to a build.

Whichever the engagement actually needs. OpenAI and Anthropic for most production features. Bedrock for AWS-native regulated stacks. Self-hosted Llama 3 or Mistral when sovereignty or cost demand it. We architect around a model-routing layer so swapping providers later is a config change, not a rewrite.

Yes. Generative AI development and AI agent development are core capabilities. We ship LLM application development with tool-calling, structured generation, retry logic, and audit trails — the same engineering rigor we apply to non-AI code paths.

Three patterns. Model routing sends the easy 80% of traffic to cheaper models and reserves frontier models for the hard 20%. Aggressive caching at the prompt-fingerprint layer catches repeated requests. Per-tenant cost ceilings with structured fallbacks keep usage inside budget even when demand spikes. We instrument cost-per-feature from day one so the team can see what each AI surface actually costs.