# AI Agents & Software AP0110 builds AI agents, knowledge systems, and production software that run where your data lives — model-agnostic and deployed on infrastructure you own. We design agentic systems with tools, memory, and guardrails, private retrieval (RAG) over your own documents, and the web platforms and data-driven applications around them — engineered to standards and handed over clean, with no lock-in. ## From a single agent to a private second brain Agentic systems, private knowledge, and the production software around them — grounded in your own data and owned end to end. Bring any model, or none; own where it runs. - **Agents that run where your data lives** — We design agentic systems — tools, memory, planning, and guardrails — that act on your behalf inside your own environment. No data leaves your jurisdiction, and the agent only does what its guardrails allow. - **Private knowledge & retrieval (RAG)** — Turn your documents, records, and institutional memory into a connected, searchable knowledge base — a private second brain. Retrieval-augmented generation grounds every answer in your own sources, with citations, running entirely on infrastructure you control. - **Model-agnostic by design** — Bring any model, or none. Self-host open weights or connect a managed model you already use — and swap freely as the frontier moves. No lock-in to one vendor's roadmap, pricing, or API. - **Guardrails & observability** — Every agent action and retrieval is logged for audit, access is least-privilege by default, and humans stay in the loop on consequential decisions. You can verify what the system did rather than having to trust it. - **Applications people actually use** — Copilots, assistants, and workflow automation embedded in the tools your teams already work in — accessible, fast, and engineered to standards, then handed over clean with no lock-in. - **Integration with what you run** — Agents connect to your existing data systems and tools through open standards like the Model Context Protocol — so AI augments the stack you have instead of replacing it. - **Production software, shipped** — Beyond agents: fast, accessible web platforms and data-driven applications — engineered to standards, reviewed and tested, then handed over clean with no lock-in. The software you depend on, built by people accountable for it. ## Architected to be understood Most AI agents are opaque chains you have to take on faith. Ours are built so every step is readable, reviewable, and yours to keep. - **Glass-box, not black-box** — Every step your agent takes is captured as something a human can read — not a hidden chain of prompts. Interpretability is a property of the architecture, not an explanation layer bolted on after the fact. - **Auditable by construction** — A full trail of each step's work is produced as a side effect of how the agent runs — so you can verify exactly what it did and why. The architecture aligns with human-oversight expectations like those in the EU AI Act — staged review, audit trails, defined intervention points — with no separate logging system to build. - **You stay in control** — Each stage produces an output you can open, review, and correct before the next step runs. You steer the work at defined checkpoints instead of trusting a single opaque run end to end. - **Right context, better answers** — Each step receives only the information it needs, not one overloaded prompt. Scoped context means more reliable output, fewer hallucinations, and lower cost per run. - **Yours to own — no lock-in** — The whole agent workflow is plain text and standard files you own: version-controlled, diffable, reversible, and handed over clean. Copy it, move it, run it anywhere — no proprietary runtime to depend on. - **Repeatable and predictable** — Configure the workflow once, then run it again and again on new inputs with consistent behavior — the same pipeline, audited the same way, every time. ## Common questions **What kind of AI agents do you build?** We build agentic systems — software that uses tools, keeps memory, plans multi-step work, and acts under guardrails — for tasks like research, document processing, customer and citizen support, and workflow automation. Each agent runs on infrastructure you own and is scoped to exactly what its guardrails permit. **Can agents use our own documents and knowledge?** Yes. We build private retrieval (RAG) over your own documents, records, and institutional knowledge, turning them into a connected, searchable knowledge base. Answers are grounded in your sources with citations, and the data never leaves the infrastructure you control. **Which AI models can we use?** Any of them, or none. We are model-agnostic: self-host open-weight models on your own hardware, or connect a managed model your enterprise already uses. You can change models as the field moves, with no lock-in to one vendor. **Does our data stay private?** Yes. Agents and retrieval run on infrastructure you own — on-premises, at the edge, or in a sovereign cloud you control. Your data is never sold, mined, or used to train anyone else's models, and every action is logged so you can audit exactly what happened. **How do you keep agents safe and accountable?** Guardrails scope what an agent can do, access is least-privilege by default, humans stay in the loop on consequential actions, and every step is logged for audit. The approach is backed by in-house ISO/IEC 27001 lead-audit capability and built to protect privacy by design. **Do you build software beyond AI agents?** Yes. We engineer production web platforms and data-driven applications to standards — accessible, fast, and tested — then hand them over clean with no lock-in. Whether or not AI is involved, the software you depend on is built by people accountable for it. ## Start a project Tell us what you want an agent to do, or what knowledge you want it grounded in. We design, build, and run it — then hand it over yours: