A human–AI operating model.
One introduction. Agents from there.
Rafael
Montigel
- 01Works side-by-side with AI agents — scaling the business together, not instead of them.
- 02The only human-to-human moment is the first introduction.
- 03Every downstream touchpoint is operated by agents.
A business should feel handmade to the customer — and be run by machines behind the curtain.
— operating principle
Research & data surveillance systems.
Our core work is research into data surveillance systems — the infrastructure marketing and data-driven businesses use to observe, model, and act on their markets. In practice: prediction algorithms and news-intelligence pipelines, built end to end.
Data surveillance systems
Collection, monitoring, and signal pipelines that turn raw activity into structured, queryable intelligence.
Prediction algorithms
Forecasting and modelling for marketing and data businesses — audience behaviour, demand, and risk.
News & market intelligence
Real-time news ingestion and analysis, distilling streams of events into decisions.
Applied research
An R&D-first practice: prototype, measure, and harden before anything ships.
Human spark. Agent engine.
Introduction
Rafael opens the door — one warm, personal moment.
Handoff
Agents onboard, qualify, and shape the engagement.
Operations
Delivery, support, billing, iteration — fully agentic.
No factory.
No freight. No waste.
An AI-based service has no manufacturing, no warehousing, no shipping.
The supply chain is compute — measurable, optimizable, and decarbonizing every year.
The footprint per customer is a fraction of a material-intensive business.
Remote-first. Minimal footprint.
Revenue scales.
Impact does not.
Each new customer adds negligible environmental cost. Growth is a software problem, not a logistics one.
From core to zero-waste scaling.
The quiet advantage.
- · Factories, warehouses, trucks
- · Offices & daily commutes
- · Headcount scales with revenue
- · Footprint grows with every order
- · Pure compute, no atoms
- · Cloud-only operations
- · Agents scale with revenue
- · Footprint stays near-flat
The window is open.
Fund the engine.
Keep the team of one.
Capital goes to compute, tools, and agent capability — not headcount, real estate, or logistics.