The platform

The machine that makes the company run itself.

Beneath the simple conversation with the client sits a real orchestration engine: agents with roles, specialist services, versioned work paths, and a human-approval loop at every step. It's all in production — and all verifiable.

Architecture

Five layers, one company

The same backbone that was born to handle scattered innovation data now supports the entire operation. Each layer solves one part of the problem; together, they crack it.

01

Data

Centralizes and harmonizes scattered information — structured, semi-structured, and free-form — into a single, searchable substrate.

02

RAG

Retrieval-augmented: natural-language questions answered with the right data, in real time, with sources.

03

Agents

AI with defined roles that automates flows and produces work — under rules, memory, and verification.

04

Orchestration

A conductor coordinates agents, services, and steps, keeping state durable and recoverable at every moment.

05

Visualization

Dashboards and deliverables that make the work legible for decision-makers — without technical jargon.

Adoption and configuration of mature solutions, not throwaway software. Expertise stays human where it matters.

Live map · real time

Who works at this company

Read live from the production engine. One human — the CEO. Everything else is AI agents, organized into bands. A seat still to be filled shows up as vacant, without pretending to be occupied.

Leadership

CEOCOOSales

Orchestration

Concierge

Squad

Business AnalystSolution ArchitectProposal WriterIndependent ReviewerStudy AuthorBrand DesignerDesigner

Services

FinanceiroJurídicoRHTecnologiaDadosComprasQualidadeSegurançaMarketing

Human AI agent Vacant (honest)

Process automation

A business process, decomposed into agents

This is what the company does, at bottom: it takes an entire process and splits it across agents, with the human deciding where needed. A real example, in production — underwriting an insurance policy, from request to issuance.

Step	Who executes	Type
Request intake	Concierge	automated
Document collection and reading	Document Validator	automated
KYC and anti-money-laundering screening	KYC-BCFT Triage	automated
Case risk analysis	Case Manager	automated
Underwriting decision	Case Manager → CEO	human approval
Policy issuance	Case Manager	automated

Seventeen steps in total, three dedicated client agents. The same pattern serves appraisals, clinical follow-up, content production, or customer service — the process changes, not the method.

Work paths

Seven types of work, end to end

Each path is a versioned flow, from request to approved deliverable. They're how the company turns a request into a result.

Proposal

From the client's context to a structured, reviewed commercial proposal.

Research

Well-founded briefings and studies, with sources and synthesis.

Brandbook

A complete brand identity, generated and applied consistently.

Study

Interactive, explainable analyses, ready for decision-making.

Software build

Real websites and applications, built and published on demand.

Universal deliverable

Any result requested in natural language, orchestrated from scratch.

+ vertical client paths already in production — for example, end-to-end auto insurance underwriting.

Governance & trust

Autonomous doesn't mean uncontrolled

What makes this investable isn't just the autonomy — it's the governance around it.

Human approval at every transition. No output has operational effect without a human validating it.
Labeled provenance. Every result states whether it's real, inferred, or simulated — a simulation never disguises itself as fact.
Deterministic and reversible. It runs reproducibly and offline; state is durable and recoverable at any moment.
Self-recovery. It detects when it's broken and gets itself back up — designed to operate without a human on call.

Proof, not promises

Verifiable, now

1705

automated tests passing

46/48

blocks in production

daily

deployment cadence

87

M2M tools (mcp.gravit.dev)

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