Stop fighting your tools. Run everything from a single core.

Your entire operation running on a single core of data and AI agents: dashboards, alerts and automations in production in weeks, without building a data team.

What runs on the core

Managed data lake Real-time dashboards Predictive alerts Gemini agents Workflow automation Data pipelines BigQuery Cloud Storage Predictive ML LGPD by design Managed data lake Real-time dashboards Predictive alerts Gemini agents Workflow automation Data pipelines BigQuery Cloud Storage Predictive ML LGPD by design

Your operation runs on a mosaic of tools.

ERP in one corner, CRM in another, spreadsheets everywhere, and none of them talk to each other. Decisions come out of stale reports, and building an in-house data team costs far too much. The data that fixes this, your company already has. What is missing is the core that puts it to work.

What that costs you every month

Isolated tools

ERP, CRM and spreadsheets that never talk. Every answer means hunting data across three systems.

Decisions on stale spreadsheets

Monthly reports and outdated spreadsheets guiding decisions that needed to happen today.

A data team off the budget

Data engineer, scientist and analyst: a payroll small and mid-size companies cannot sustain.

Problems found too late

Operational failures show up after the loss, when they could have been predicted.

A single core of data and agents.

LDC (Large Data Core) connects the sources you already use to a managed core on Google Cloud, where AI agents turn raw data into operations: dashboards, alerts and automations, without you building a data team.

Data

everything your operation already generates, unified

Agents

Gemini-family AI that structures and executes

Operations

dashboards, alerts and automations in production

Data layer

Cloud Storage · BigQuery · managed data lake

Intelligence layer

Gemini agents · multi-agent orchestration · your business rules

From data source to agent in production.

Four steps, 100% Google Cloud native. From the first connected sources to the first agents in production in 8 to 12 weeks.

01

Connect your sources

ERP, CRM, spreadsheets and legacy systems feed a managed data lake on Cloud Storage + BigQuery.

02

Agents structure the data

A multi-agent orchestration layer, built on Gemini-family models, cleans, organizes and models your data around your business rules.

03

Data products go live

Real-time dashboards, automated workflows and ML models that detect and anticipate operational failures.

04

The core expands

The core keeps ingesting data and becomes the base for new use cases, from reports to new operational agents, with no reimplementation.

What comes out of the core, working.

Three data products go live on the same core, and new use cases are born without starting from scratch.

01

Real-time dashboards

Decisions on live data

Operational indicators continuously refreshed, straight from the core, not from spreadsheets assembled by hand at month-end.

  • A unified view of sales, operations and finance
  • Indicators defined with you, around your business
  • Web access, nothing to install
BigQuery Real time

02

Workflow automation

Agents run the routine

Agents take over the recurring flows of your operation: document analysis, proposal preparation, reconciliations and reports.

  • Workflows designed on your real process
  • Executed by Gemini agents, under your supervision
  • Hours of manual work given back to the team
Gemini agents Workflows

03

Predictive alerts

Problems flagged in advance

Machine learning models monitor the core and anticipate operational failures, deviations and opportunities.

  • Anomaly detection across the operation
  • Forecasts trained on your historical data
  • Alerts in the channel your team already uses
Predictive ML Alerts
Real case · Legal / Occupational Safety

An OSH law firm, run from the core.

A law firm specialized in Occupational Health and Safety: the contract analysis and proposal preparation that used to consume the week now run on LDC.

+35%

return per employee

20h

a week given back to the team

8-12

weeks to production

1

new revenue line created by the core

One of the core's agents identified and structured a brand-new product from the firm's own data. Today, that product is a new revenue line for the client.

Live in 8 to 12 weeks.

No year-long project, no new hires. A phased rollout with visible delivery at every stage.

01

Weeks 1 to 2 · Diagnosis

We map sources, systems and the decisions the core needs to support.

02

Weeks 3 to 5 · Connection

Sources connected to the data lake on Cloud Storage + BigQuery, with data flowing.

03

Weeks 6 to 9 · Agents

Agents and models configured around your business rules, validated with your team.

04

Weeks 10 to 12 · Production

Dashboards, alerts and automations live, with your team operating from the core.

100% GCP-Native
Stack

100% Google Cloud native

LDC runs entirely on Google infrastructure: Cloud Storage and BigQuery on the data layer, Gemini-family models on the intelligence layer. Scale, security and continuity from one of the largest data infrastructures in the world.

Cloud Storage + BigQuery

Managed data lake and analytics at scale on the data layer.

Gemini family

Agents and language models on the intelligence layer.

Native security

Encryption, IAM and Google Cloud global infrastructure.

Your data, protected by default.

LGPD compliance and native Google Cloud security across every layer. Your data is never used to train models.

How we protect it

LGPD by design

Data processing designed for LGPD compliance from the architecture up.

Per-client segregation

Each client's data lives isolated, in its own environment.

Full encryption

Encryption in transit and at rest, native to Google Cloud.

IAM access control

Granular permissions define who sees and who operates each piece of data.

Gabriel Chayb
Founder

Gabriel Chayb

NASA Space Apps · 2024 Global Winner
10+ years of ML in production

Who builds the core.

Gabriel Chayb is the founder of Entropic AI, with more than 10 years putting machine learning into production, not into slides.

In 2024 he became a global winner of the NASA Space Apps Challenge, the largest hackathon in the world, in the Best Use of Technology category, the first South American to take the prize, with a novel method for detecting lunar seismic activity using Apollo mission data.

LDC is built from that same engineering: turning raw, chaotic data into systems that decide and operate, now in service of small and mid-size companies.

10+

Years of ML in production

2024

NASA Space Apps global winner

1st

South American to win it

Frequently asked questions

Everything you need to know about LDC: Large Data Core.

LDC (Large Data Core) is a data and AI-agent platform built on Google Cloud. It connects the sources your company already uses (ERP, CRM, spreadsheets, legacy systems) to a managed core, where Gemini-family agents turn raw data into real-time dashboards, predictive alerts and automated workflows.

Between 8 and 12 weeks from connecting the first sources to the first agents and dashboards in production. The rollout is phased, with visible delivery at every stage.

No. That is the whole premise of LDC. You get the data and AI infrastructure working without hiring data engineers and scientists. We operate the core; your team consumes the results.

ERPs, CRMs, spreadsheets and legacy systems, including sources without an API, with integrations designed case by case. If the data exists in your operation, it can feed the core.

Yes. LDC operates in compliance with LGPD, with per-client data segregation, encryption in transit and at rest and IAM access control, all native to Google Cloud. And your data is never used to train models.

It keeps ingesting data and becomes the base for new use cases: a report can become an operational agent, an alert can become an automation, with no reimplementation. That is how one agent identified a new revenue line for a client.

A fraction of the cost of building an in-house data team. The price depends on your sources and use cases: talk to us on WhatsApp and get a proposal tailored to your operation.

Put your operation on a core.

Bring the data your company already has. In one conversation, we map your sources and show what LDC puts into production in 8 to 12 weeks.

or write to gabriel@entropic-ai.com.br

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