Deploying the next frontierof agentic workflows
We build your business operative system
Tailored agents that run inside the tools your team already uses, no new dashboards, no prompt training, no off-the-shelf SaaS.
Most AI products are just another tab demanding your attention.
Every team is drowning in software that promises to save time and ends up requiring more of it. Logins, prompts, integrations, settings panels. The work moved — it didn't disappear.
Tool fatigue
Five "AI assistants" open at once, none of them actually doing the work end-to-end.
Prompt as a job
Operations teams become prompt engineers. The bottleneck just moved one chair over.
Generic outputs
SaaS AI doesn't know your processes, your data, or your customers. It can't.
A method designed for silence, not spectacle.
We don't ship a product. We ship an outcome — embedded into the systems your team already uses.
Outcomes, not features.
A sample of what tailored agents are doing in operative systems right now.
Auto-triaged support, end-to-end.
An agent reads incoming tickets, classifies, drafts replies, escalates only the genuinely complex. Response times collapse. Headcount stays flat.
Weekly reports that write themselves.
Agents pull from your data sources, draft the narrative, flag anomalies, deliver to the right inbox on the right day. No analyst hours wasted on assembly.
CRM hygiene, silently maintained.
Lead enrichment, deduplication, follow-up drafting, pipeline stage updates — handled in the background while reps focus on actual conversations.
An oracle for your operations.
One question, asked in Slack, that knows your docs, your tickets, your decisions, your code. Onboarding shrinks. Tribal knowledge stops being tribal.
Operations should run themselves.Humans step in for decisions,not for workflows.
That's the thesis we build on. If a step can be described, it can be delegated — and whatever can't be delegated deserves a real person's attention.
Operators, not salespeople.
A small team that has shipped agentic systems inside the kind of companies that don't tolerate hand-waving.
Javier Cuadra
Ex Senior Data Scientist at Amazon. Expert in large-scale ML systems, LLM architectures, and MLOps. Track record leading engineering teams shipping complex pipelines in production.
Maria Aleu
Ex Senior Product Manager at Zurich & CaixaBank. 10+ years leading end-to-end digital products. Expert in UX, go-to-market, and customer retention strategies.
Alfred Inga
Software engineer with deep experience building inside enterprise environments. Computer Engineering graduate, focused on shipping reliable technical solutions end-to-end.
Questions, answered.
Tell us what your teamshouldn't be doinganymore.
A 30-minute diagnosis call. We'll map two or three operative bottlenecks where tailored agents would genuinely move the needle — and show you what the deployment would look like.
Book diagnosis call