Entity LabsKnowledge layer

We make companies ready to operate Enterprise AI solutions through our Context Infrastructure.

See the platform

Most AI pilots never see the light of day.

Not for lack of a model. For lack of a foundation: incomplete data, answers without a source, access without governance.

01Accuracy

AI answers with confidence about what it does not know.

02Verifiability

no one can point to the source of the answer.

03Governance

everyone accesses everything, or no one accesses anything.

What is missing is not a better model.It is a piece of architecture:the layer that turns the information your company already has into AI-ready knowledge.

How the Context Infrastructure works:

On one side, the systems you already use. On the other, the answers. In between, the platform.

What goes in
CRMsystem
Brokerage and custodysystem
ERPsystem
Transactionssystem
Support ticketssystem
CSATsystem
Adssystem
Spreadsheets and filessystem
Contractsdocument
Meetings and callsconversation
WhatsAppconversation
Emailconversation
What the platform does
AData Infrastructure
  • Foundationthe operation's data lake
  • Connectors50+ sources plugged in
BAI Infrastructure
  • Knowledge graphthe digital brain
  • MCP Servereach person and each agent sees only what they are allowed to
  • Event Busreal time and alerts
CAI Applications
  • Agentsin the workflow
  • Monitoringthe operation in plain sight
  • Governancewho can do what, on record
What comes out
for whoever askedAnswer with source

“which clients have maturities this week?”

3 clients, with the origin of each piece of information

on the operations dashboardPriorities of the day

who to serve first, and why

each priority opens its rationale

for compliance, on the spotCompliance alert

“this CDB is guaranteed to beat the CDI”

conflict with CVM 179, with the excerpt from the meeting

This already happens in your company every day. What changes is that information stops getting lost: when it is time to decide, it arrives together and with its origin.

CRMsBrokerages & CustodyTelephony and voice: VOXCommunicationERPsSpreadsheets & Files50+ connectors

Security is not a feature.

It is the architecture.

01BYOC by design

Bring your own cloud: the platform is hosted on your cloud infrastructure.

02Models in your cloud

Every inference runs in your Private Cloud: the prompt, the context and the answer never leave your infrastructure.

03Access control

We inherit the permissions that already exist in your systems: they apply to people and to AI agents, on every query.

04Audit trail

Every query and every agent action, logged in your account: who, what, when.

We work in three stages.

Everything starts with a 2-week Assessment. We map the operation, prioritize the first use case and define scope, success criteria and an execution plan.

01

We diagnose and fill the gaps in your data foundation.

A recipe validated in brokerages: capture → cleaning and cataloging → unified base, with automations and alerts.

Deliverables

Map of the sources, prioritized gaps, a unified and living base.

02

We deploy the AI Infrastructure.

Your data gains business context and graph structure: the most efficient way for an AI to query and operate. Controlled access and real-time events.

Deliverables

Knowledge graph of the operation, MCP Server with permissions, Event Bus with alerts.

03

We build AI applications that deliver value from day zero.

Agent, dashboard or predictive model: the first project leaves the Assessment already designed to generate value.

Deliverables

An application in production, measurable, on the foundation from steps 1 and 2.

Book 30 minutes

with the people who build.

A founder joins the call. You bring a real problem from your operation and leave with an honest read on where AI creates value. If we are not the right fit, we say that too.

The calendar opens right away. You pick the time and get the invite by email.

If you would rather write before booking, the email is contato@entitylabs.com.br.

São Paulo · BrazilBrasília time (GMT-3)

What fits in 30 minutes

  1. You tell us which decision is stuck in your operation today.
  2. We show the layer applied to a case like yours.
  3. We tell you what can be done with the data you already have. And what cannot.
  4. If it makes sense, you leave with a written scope — timeline and success criteria included.