MCP
Model Context Protocol
Anthropic's open spec for tool & data binding. Every ufactor agent ships with MCP servers, not bespoke wrappers.
Anthropic
in production
ufactor is a senior AI product studio. We design, build, and operate agentic systems with major Agent development frameworks ( Google ADK, LangGraph/LangChain, CrewAI, etc.) and the evaluation, observability and HITL plumbing that turns a demo into production.
Our mission is simple: automate your workflows so your team can focus on the work that matters. Less drudgery, more fun — fewer tickets, more outcomes. We build the agents that take the boring part off your plate.
ufactor was founded in Lisbon in 2018, before "AI native" was a category. We've shipped two acquired SaaS spinoffs, run agentic programs for Deloitte Portugal, and built production systems on Google ADK and LangGraph since week one of their public release. We bring the engineering rigor that turns a flashy demo into something a CFO will sign off on.
We spent seven years running the Software Development Lifecycle as u-factor.io — shipping products, exits, and enterprise platforms. The move to ufactor.ai wasn't a rebrand. It's a new loop: the Agent Development Lifecycle. Building agents is 90% software, 10% AI — and the 90% is exactly what we already knew how to do.
Two acquired SaaS spinoffs. Renault & Citroën car launches. Production systems for healthcare, last-mile, and retail. The boring, hard parts of shipping software — at scale.
Multi-agent systems on Google ADK, LangGraph, CrewAI. State, tools, evals, observability — and a path being paved as we walk it. The SDLC muscle made the pivot quick; the ADLC loop keeps it learning.
Every client we work with sits somewhere on this arc. Most start with enablement; the most ambitious are already turning agents into operating leverage. We meet you where you are — and walk the next step with you.
We start where every journey starts: people. Workshops, hands-on labs, and a shared vocabulary so your team can talk about AI without bullshitting.
Drop-in tooling — Claude, Gemini, Copilot — wired into how your teams already work. Measured uplift, not hype.
Narrow agents take over the mechanical, deterministic work. Tickets, intake, classification, reporting.
Agents that sit alongside your specialists — researching, drafting, validating. Humans stay in the loop, just at the ceiling instead of the floor.
Agents become the product. New offerings, new pricing, new motion — things that weren't economically possible before.
Resolution-grade agents that actually solve, not deflect. Voice, video, and async — with human escalation paths that work.
Agents take operational decisions inside guardrails. The org becomes a control plane; humans set strategy and review.
Four practices, one team. Each engagement is led by a senior who has shipped this exact thing before.
Real agentic systems live or die on the unsexy parts: state, retries, tool schemas, guardrails, evals, observability. Here's the actual shape of what we deliver.
Anyone can prompt a model. The hard part is shipping agents safely into production — versioned, governed, observable, swappable. We bet on the open standards setting that bar, and we use the best AI tools to build them faster.
Two of our SaaS spinoffs found new homes. The methodology that got them there is the same one we now apply to client agents.
A multi-agent platform for telco & media advisory workflows. Six agents in production (two more on the way), MCP-based and custom tools, with voice and video models in the loop.
Our own products are available to acquire or subscribe. Below them, a sample of customer agents we've shipped — proof of expertise, not for sale.
30 minutes, no slides. Bring the messy version of the problem. We'll tell you whether agents are the right answer — and if not, what is.