ufactor.ai
AI Agents

Agents in production. Systems built with you.

Not slideware. These are agents we've designed and put into production, working alone or together as agentic systems. Some are ready to adapt to your processes, others were delivered inside client operations. Proof we've done the hard part before.

Our productsReady to adapt to your processes
4 agents
FC
Available
Finance · Accounting

Finance Controller

Reconciles ledgers, drafts the month-end close, flags variance, and writes the commentary your CFO actually reads.

NetSuiteXeroBigQueryGAAP rules
AL
Available
Hospitality · AL Portugal

Short-Term Rental Manager

Runs Alojamento Local end to end: pricing, guest comms across channels, cleaning ops, and SEF / AT compliance.

AirbnbBookingSEFAT / SAFT
TG
In pilot
Travel · Concierge

Tourism Local Guide

On-trip companion that plans, books, and adapts itineraries in real time — speaks the local language, knows the street.

MapsGetYourGuideOpenTablevoice
SP
In pilot
Performance · Scouting

Sports Analyst

Ingests match feeds and biometrics, surfaces tactical patterns and opponent priors, and gives live in-game recommendations.

OptaStatsBombvideo-LLMRAG
RB
Physical AI · EducationIn pilot

Robot Control for Education

Agents that perceive, talk, and move a physical robot. Hugging Face's Reachy Mini becomes a friendly, interactive companion that helps kids learn through conversation, gestures, and play.

Also in the lab

Control and manipulation agents for the Unitree G1 humanoid.

Reachy MiniUnitree G1LeRobotvision-languagevoice
Customer engagementsDelivered inside client agentic systems · shown as proof of range
6 agents
RF
Telco · RAN

Network Radio Ops

Watches RAN telemetry, predicts handover failure, and drafts change tickets — bridging NMS and human SREs.

MCPSNMPOSS/BSSPrometheus
LM
Delivery · Routing

Last-Mile Logistics

Re-plans driver routes against live traffic, weather, and SLA, and negotiates exceptions with the dispatcher.

OR-toolsMapboxETA models
QC
Security · Cryptography

Quantum Crypto Analyst

Audits the stack for post-quantum readiness and maps assets to NIST PQC migration paths with risk scoring.

NIST PQCOpenSSLSBOM
CS
Threat detection

Cybersecurity Sentinel

Triages alerts, correlates across tools, and drafts incident reports — reducing analyst toil without losing the trail.

SplunkSIEMMITRE ATT&CK
OP
24/7 Operations

NOC / SOC Copilot

On-shift agent that reads runbooks, suggests next steps, and escalates with full context — the Tier-2 you can't hire.

PagerDutyGrafanarunbooks
SL
Revenue · CRM

Sales Pipeline Analyst

Reads CRM and call transcripts, scores deals honestly, and drafts the forecast the VP of Sales can defend.

SalesforceHubSpotGong
Need an agentic system we haven't built yet? Our forward-deployed engineers co-build them with your team — scoped to your process, data, and integrations.
Discuss your agent
Agent engineering

Anyone can wrap an LLM
in a chat box. We build the rest.

Real agentic systems live or die on the unglamorous parts: state, retries, tool schemas, guardrails, evals, observability. That engineering is the difference between a demo and something your operations can trust.

State & checkpoints

Durable runs that survive failure and resume exactly where they stopped — not a fresh prompt every time.

Tool schemas & permissions

Typed tools with least-privilege access, so an agent can only do what you authorized.

Guardrails & HITL

Validation, policy checks, and a human in the loop on anything irreversible.

Evals & observability

Every run traced, scored against real cases, and monitored — quality you can defend.

orchestration graph● compiled
UserinputSupervisorLangGraph · StateGraphResearcherADK · AgentAnalystLangChain · ReActWriterADK · LlmAgentsearch()rag.query()sql.exec()doc.fetch()human()Responsestreamgraph.compile()stream=truecheckpoint: postgreseval: ragas · phoenix
How we work together

Every agentic system is built with you.

Our forward-deployed engineers work inside your team. You choose where to start, and how much your team takes on.

Agentic systemOne or many agents working together, with your tools, data, and people, to achieve an outcome.
01Most common

Co-build

We build a new agentic system with your team, inside your process, from first map to production.

02

Start from ours

We adapt agents from the catalogue into a system for your data and processes, so you skip months of groundwork.

03

Train & transfer

Your team learns the method and inherits the ADLC — evals, monitoring, releases — to run and evolve the system yourselves.

04

Operate together

We stay on under a retainer, monitoring, evaluating, and improving the system alongside your team.

Your IPYou own what we build together — code, prompts, evals, and documentation.
Start here

Book an AI Workflow Assessment.

A focused starting point. We look at where your team loses time today, where AI agents are safe and valuable, and what the right first step is — with no pressure to commit to a build.

Contact us See how we build