A dedicated pod that puts Generative AI to work — RAG assistants, AI agents, n8n and RPA that automate workflows, cut manual effort and lower operating costs, delivered as measurable, production-grade outcomes.
Most AI experiments stall before they deliver real savings. Our GenAI pod is built to close that gap — identifying the workflows where AI actually pays off, then shipping secure, governed automation that runs reliably in production.
We build RAG assistants and knowledge copilots, AI agents, document and data extraction, chatbot and support automation, and connect it all with n8n, RPA and API integrations — with guardrails, evaluation and human-in-the-loop where it matters.
Stack: Python, OpenAI / Anthropic / open LLMs, RAG & vector databases, LangChain, n8n, RPA, REST integrations.
Grounded, source-cited assistants over your own documents, data and policies — not generic chatbots.
Task-completing agents and support chat that resolve queries and trigger real actions safely.
Turn invoices, forms and PDFs into structured, validated data with AI plus deterministic checks.
n8n, RPA and API orchestration that connect your tools and automate multi-step business processes.
Integrate LLMs into existing products and apps with prompt engineering, tools and safe fallbacks.
Guardrails, evaluation harnesses, monitoring and human-in-the-loop for trustworthy AI in production.
We target workflows with clear ROI — measured in hours saved, cost cut and quality gained.
Data privacy, access control and auditability so AI meets your compliance requirements.
A stable pod monitors, evaluates and improves your AI as models and needs evolve.
Cross-trained engineers and documentation keep your automation supported for the long run.
Bring us a workflow that eats time — we’ll propose an automation pod with a clear ROI target and a fast, low-risk start.
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