AI Agents & Generative AI
AI agents, RAG systems, and LLM products that automate real work — not demos that never leave the slide deck.
Get StartedWe build AI systems that create measurable value: multi-step agents that use tools and APIs, RAG knowledge assistants grounded in your private data, copilots embedded in existing products, and evaluation pipelines that keep quality under control. We work across OpenAI, Anthropic Claude, Gemini, and open models with frameworks like LangChain, LangGraph, and the Vercel AI SDK. From AI audit and data preparation through agent design, human-in-the-loop workflows, production integration, and monitoring, we ship systems your users can trust.
Key Capabilities
Concrete capabilities we bring to this engagement — not buzzwords.
AI Agents & Tool Use
Multi-step agents that plan, call tools and APIs, recover from errors, and complete workflows end-to-end.
Predictive Models
Forecasting, scoring, and recommendation models trained on your data and monitored in production.
RAG & Knowledge Systems
Retrieval-augmented generation over your docs, tickets, and databases with grounding and citations.
Agentic Automation
Human-in-the-loop automations that reduce manual work while keeping high-stakes decisions reviewable.
Technologies We Use
Proven tools and platforms we apply where they fit — chosen for the problem, not the trend cycle.
Our Approach
A clear path from problem to production — adjusted per service, never one-size-fits-all.
AI Audit
Use cases, data readiness, and risk review
Agent Design
Workflows, tools, RAG, and guardrails
Build & Evaluate
Prompts, agents, models, and eval suites
Integration
Embed into products, APIs, and ops tools
Deploy
Production rollout with cost and safety controls
Monitor
Quality, drift, feedback, and iteration
Why This Matters
Outcomes we aim for — measurable in product quality, speed, and business impact.
Real Automation
Agents and workflows that remove manual effort, not chat demos that stall.
Grounded Answers
RAG and analytics that cite your data instead of inventing it.
Cost Discipline
Model choice, caching, and evals that keep quality high and token spend controlled.
Product Advantage
AI features competitors cannot easily copy because they sit inside your workflows.