AI Services
Strategy → build → deploy with guardrails
We design, build, and ship AI products with evaluations, guardrails, and clear ROI. Pick a track or start with a discovery call.
AI services (typical scopes)
- Opportunity mapping and an actionable AI roadmap.
- Feature prototypes in 2–4 weeks, backed by evals and guardrails.
- Workflow automation with tooling, observability, and fallbacks.
- Domain assistants (RAG + admin tools) with citations and policy controls.
- Ongoing optimization and monitoring for safety, latency, and quality.
Strategy, POCs, and production LLM systems
Generative AI Consulting & Development
We design and build generative AI use cases end-to-end: opportunity framing, model selection (open/closed), evaluations, and secure deployment.
- Use-case discovery and ROI sizing
- Model selection, evals, guardrails
- POCs to production with monitoring
- Data privacy, safety, and compliance patterns
Embed AI into existing products and workflows
AI Integration
We add AI to your current stack—search, summarization, routing, scoring—without disrupting core systems.
- API-first integration
- Eval-driven quality gates
- Observability + fallback logic
Support, sales, and ops assistants with retrieval
AI Chatbot Development
We build domain-grounded chatbots with retrieval, tools, and policy/guardrail layers for customer and internal teams.
- RAG with grounding + citations
- Tone and compliance controls
- Hand-off to human/CRM
Multi-step, tool-using agents for ops and data workflows
AI Agent Development
We design safe, deterministic-ish agents that call tools/CRMs/ERPs and are bounded by policies and evaluations.
- Tooling/Actions design
- Safety policies + evals
- Replay + observability
In-app copilots for complex user workflows
AI Copilot Development
We embed copilots inside your product to draft, summarize, and orchestrate user flows with strong UX and fallbacks.
- UX-first design
- RAG/tool use where needed
- Latency + UX budgets honored
High-quality retrieval-augmented generation
RAG Development
We build retrieval pipelines with chunking, embeddings, rerankers, and evals for grounded, citeable answers.
- Data prep + chunking strategy
- Embedding/rerank tuning
- Citations + hallucination controls