Services
Custom RAG and generative AI solutions
We design and build AI systems around your data, workflows, and software. Our engineers and architects bring more than 20 years of experience to retrieval, generation, evaluation, product UX, and production engineering.
Advanced RAG Solutions
Retrieval systems that connect language models to your documents, databases, and domain knowledge with traceable sources and access controls.
- Data ingestion and knowledge indexing
- Hybrid search and reranking
- Retrieval quality evaluation
- Guardrails and access controls
Generative AI Products
Task-focused assistants and workflow tools designed around the way your team already works.
- Domain-specific assistants
- Structured outputs and tool use
- Workflow automation and integrations
- Model selection and evaluation
AI Product Engineering
Product strategy, UX, architecture, and software delivery for AI-enabled products.
- Product discovery and technical scoping
- Application and API development
- Evaluation and production monitoring
- Documentation and handover
FAQ
Questions about custom AI work
How projects run, what affects delivery, and what a production RAG system requires.
- How do you typically work with clients?
- We use fixed-scope builds for clearly defined products and embedded monthly engagements when the roadmap is still changing. Each engagement begins with a short discovery to agree on the problem, users, data, success measures, and milestones.
- How long does a project take?
- A focused AI integration can take weeks, while a complete software product usually takes several months. We provide a practical estimate after discovery because data quality, integrations, and evaluation requirements affect the schedule.
- What is a custom RAG solution?
- Retrieval-augmented generation, or RAG, lets a language model find relevant information in approved business sources before it answers. A custom system adapts ingestion, retrieval, permissions, citations, and evaluation to your data and workflow.
- How do you manage accuracy and access?
- We test retrieval and answer quality against representative questions, return source references where the product needs them, and apply the same access rules as the underlying data. Higher-risk workflows can include review and approval steps.
Contact
Bring us the problem, not a finished specification
Describe the workflow, the information involved, and where the current approach falls short. We will help define a practical first release.