AI Solutions
We build AI into real products — not demos. AI agents and assistants, LLM integrations (on the latest Claude models), document processing (RAG) and automations that plug into the systems you already run. Practical, measurable, and shipped to production.
OverviewOverview: AI that does real work
Most "AI" projects stall at the demo stage. We treat AI as engineering: we scope a concrete use case, wire an LLM to your data and tools, add guardrails, and ship it into a product people actually use. Default models are the latest Claude family, chosen per task.
Whether you want an agent that handles a workflow end to end, a copilot inside your app, or automation that reads and routes documents — we build it on a clean, type-safe stack and connect it to your existing systems through APIs.
What's includedWhat's included in AI engineering:
AI agents & assistants
Agents that take an action, not just answer a question.
- Tool-using agents: LLMs wired to your tools and APIs to complete real tasks (with human-in-the-loop where it matters).
- In-app copilots: Assistants embedded in your product that understand your data and domain.
LLM integration & RAG
Grounded in your data, so answers are accurate — not made up.
- Retrieval (RAG): Connect the model to your documents and knowledge base with a vector store, so it answers from your content.
- Document processing: Extract, classify, summarize and route documents (invoices, contracts, tickets) at scale.
Automation & improving existing systems
Add AI to what you already run — measurable, not magical.
- Workflow automation: Replace repetitive manual steps with AI-driven automation inside your existing tools.
- Guardrails & evaluation: Prompts, tests and monitoring so the AI stays reliable in production.
Tech stackOur AI technology stack
Modern LLM tooling on a type-safe backend, integrated with your systems.
AI core
- Claude (Anthropic): Latest Claude models via the API/SDK, chosen per task.
- RAG & vector search: Retrieval over your knowledge base for grounded, accurate answers.
Integration
- Node.js & APIs: Backend that connects the model to your data, tools and product.
- Monitoring & evals: Logging, evaluation and guardrails for reliable production AI.