Capability
We build AI features that hold up in production: retrieval-augmented assistants that answer from your content, multi-agent workflows that complete real tasks, and real-time voice experiences. Every system is grounded, observable and safe to put in front of customers.
Engagement
- Timeline
- 2-4 weeks for a grounded prototype, 8+ for production
- Team
- AI engineer + full-stack engineer
- Pricing
- Discovery sprint, then fixed or custom quote per phase
- After launch
- Monitoring, evaluation runs and model updates
Core stack
- OpenAI
- Claude
- LangGraph
- LangChain
- Pinecone
- Python
- FastAPI
- RAG
What is included
- RAG pipelines with per-tenant isolation
- Multi-agent workflows (LangGraph, LangChain)
- Real-time voice and transcription (OpenAI Realtime)
- Document review, generation and e-signing flows
- Evaluation harnesses and guardrails
- Cost, latency and quality monitoring
Typical use cases
- Customer support agents across many brands or shops
- Compliance and QA review of documents against standards
- Operational assistants for CRM, marketing and reporting
- AI-led intake, assessment and planning journeys
Proof
Where we have done this before.
Questions
Other services
Let's talk
Send a short brief today. Within a week you will have a written scope, a fixed or custom quote and a launch date, with no obligation. After launch we stay on to maintain what we built.