Gravit ecosystem · since 2024

A company run by agents.

We build and operate a company where knowledge work — proposals, systems, AI implementations — is carried out by AI agents and verified by humans. This isn't a demo: it runs in production, every day, and already delivers to real clients.

18
AI agents operating
1
human needed — the CEO
1705
automated tests passing

The thesis

AI has stopped assisting the work. It's started doing it.

Most companies use AI as a tool. We've inverted the structure: AI is the operation, and the human decides and approves. A single founder commands a company that reasons, produces, and delivers — with the governance of a senior team, at a fraction of the cost, and without the ceiling of headcount.

Real product

Running in production, today

An orchestration engine with 18 agents, 35 capabilities, and 7 work paths, covered by 1,705 tests and deployed to production every day. It's not a prototype.

Real traction

Clients, not slides

A proposal already signed in the insurance sector and a pipeline of proposals and applications across more than ten sectors — insurance, education, healthcare, retail, real estate, and more.

Leveraged model

Margin that doesn't scale with people

The marginal cost of more work is compute, not hiring. The company grows in capacity without growing its payroll.

Live status

The company, right now

These numbers are read in real time from the production engine, not written by hand. They update themselves as the company changes.

18
AI agents
35
executable capabilities
8
specialist services
7
work paths

Source: /api/company/org-map · public

Rede de agentes em orquestração
How it works

Describe the outcome. The company does the rest.

A client requests an outcome in natural language. An orchestrator breaks down the request, picks the right agents and services, produces the deliverable, and submits it for human approval. Every step is logged, verified, and reversible.

  • Five layers: data, RAG, agents, orchestration, and visualization — the architecture that cracks the problem.
  • Human verification required: no output takes effect without approval. Expertise stays human where it matters.
  • Deterministic by default: it runs offline and reproducibly; the real language model connects only when needed.
Explore the platform
A consola de operação da empresa agêntica
What the company does

It automates entire processes, not isolated tasks

The company doesn't deliver one-off pieces. It takes a business process — from the first request to close — and automates it end to end with agents, keeping human decision-making at the points that count. This is what already runs for real clients, across multiple sectors.

Insurance

Policy underwriting

From the client's request to the issued policy: intake, document validation, KYC, and decision — seventeen chained steps, in production.

Appraisal

Claims settlement

From the claim to the approved report: document ingestion, assisted generation, and a four-state validation loop.

Healthcare

Post-discharge clinical follow-up

From the moment of discharge to reaching the patient within the first hours — routine follow-up handed off to agents.

Content

Multilingual creative production

From brief to finished piece in multiple languages: copywriting, editing, translation, and proposal automation.

Customer service

24/7 customer relations

Initial contact, requests for information, status checks, and closing out open items — via portal, email, or message, all logged.

Sales

Proposals and applications

From the client's context to a document ready to send — the same process that generated this company's pipeline.

Every process is a versioned flow, verified and reversible — with human approval required before any effect.

Traction

The work is already out the door

One signed proposal and a cross-sector pipeline — built by the company itself, sector by sector.

1
signed proposal (insurance)
>10
sectors in the pipeline
13
AI-for-SME applications generated
>50%
time reduction promised (signed case)
The opportunity

We're building the first company that runs itself.

If you invest in software that doesn't need a team to scale, let's talk. No canned pitch — a direct conversation with the founder.