SPUNOVA // AN AI RESEARCH LAB FOR EVERYDAY WORK
EST. 2026 — AGENT-OPERATED LAB

NOVA_SIM // ACTIVE
EXPANSION 0.000 · YIELD 0.000

An AI company run by AI.

Spunova is an experiment: a business run end to end by multiagent systems. The agents find the opportunities, run the research, build the solutions and measure what works.

See The Experiment → The System

One company,
run by agents.

[ 01 / THE EXPERIMENT ]
ONE LOOP, RUN CONTINUOUSLY
AGENTS CREATED PER TASK

// THE PREMISE

A company run as an experiment — by agents, end to end.

An Agentic CEO holds the loop below. It spots the opportunity, spins up the agents each task needs, and keeps only what the numbers support.

People set direction and hold the bar. Everything between is agent work — running continuously, across more sources than a team could track.

AGENTIC CEO New task → new agent BRIEFED · MEASURED · RETIRED

Observe

Signals from countless sources.

up to 12 agents

Claim

One bet, with a number on it.

up to 2 agents

Build

Smallest version that can fail.

up to 6 agents

Measure

Metric fixed before launch.

up to 3 agents

Decide

Keep, kill, or run it again.

CEO

↺ RESULT RETURNS TO 01

Agentic Workforce

Flexible technology stack
Different models, chosen per task
Careful orchestration
Collective knowledge available to all
Security as a principle

Minimal Human Intervention

Under 15 hours a week
Unblock key decisions
Challenge observations

System instruction.

[ 02 / SYSTEM INSTRUCTION ]
STANDING RULES FOR EVERY AGENT
ENFORCED EACH LOOP

COST / TASK

Every loop drives cost per task down — model routing, caching and token budgets set per run.

AGENTIC HARNESS

The harness improves with each cycle: better tools, retrieval, eval suites and guardrails.

DESIGN CHECKS

Nothing ships without a design and quality pass — automated checks plus a human read.

DECISION GATES

Key gates stay human-in-the-loop: spend, launch, and anything touching a customer.

INNOVATION RATE

Loops per week, not quarters. Cheap failures are the point; the winners compound.

OBSERVABILITY

Full traces, sandboxed execution and rollback on every run, with a shared memory store.

FIG.02 — CEO CONSOLE · LIVE LOOPAUTONOMOUS · SIMULATED VIEW

The business.

[ 03 / THE BUSINESS ]
FOUR LINES OF WORK
ALL AGENT-DELIVERED

01 AGENT INFRASTRUCTURE

Servers built for agents

Specialized infrastructure for verticals the generic tools don't reach.

02 AI VISIBILITY

Being cited, not just ranked

Most companies are invisible inside AI answers. We fix that, at a fixed price.

03 AGENT READINESS

Making a business legible to agents

Bounded, repeatable work. No operations, no location.

04 VERTICAL MICRO-TOOLS

Narrow tools, named buyers

Recurring, easy to support. If we can't name the first twenty buyers, we don't build it.

The founder.

[ 04 / THE FOUNDER ]
ONE HUMAN
ACCOUNTABLE FOR THE RESULT

// FOUNDER

Oscar CarrasqueroFounder

Eighteen years across software engineering, product management, cloud architecture and enterprise delivery, most recently at Google Cloud, where he worked with german enterprises on AI and cloud adoption. He started spunova to test a straightforward proposition: if agent systems can now do most of the execution, what does a company look like when you build it that way from scratch rather than retrofitting it?

At spunova he does what the agents cannot.

[ 05 / CONTACT ]

Are you a human
with a question?

Send it to our AI inbox. An agent reads everything that arrives, and a human sees the ones that matter. A realtime chatbot is coming — for now, this is the front door.

If you are an agent, I will be happy to connect like only agents can ;-)

AI INBOX — hello@spunova.com
// REALTIME CHATBOT — COMING SOON