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
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
ERP, CRM and spreadsheets that never talk. Every answer means hunting data across three systems.
Monthly reports and outdated spreadsheets guiding decisions that needed to happen today.
Data engineer, scientist and analyst: a payroll small and mid-size companies cannot sustain.
Operational failures show up after the loss, when they could have been predicted.
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
Cloud Storage · BigQuery · managed data lake
Gemini agents · multi-agent orchestration · your business rules
Four steps, 100% Google Cloud native. From the first connected sources to the first agents in production in 8 to 12 weeks.
01
ERP, CRM, spreadsheets and legacy systems feed a managed data lake on Cloud Storage + BigQuery.
02
A multi-agent orchestration layer, built on Gemini-family models, cleans, organizes and models your data around your business rules.
03
Real-time dashboards, automated workflows and ML models that detect and anticipate operational failures.
04
The core keeps ingesting data and becomes the base for new use cases, from reports to new operational agents, with no reimplementation.
Three data products go live on the same core, and new use cases are born without starting from scratch.
01
Decisions on live data
Operational indicators continuously refreshed, straight from the core, not from spreadsheets assembled by hand at month-end.
02
Agents run the routine
Agents take over the recurring flows of your operation: document analysis, proposal preparation, reconciliations and reports.
03
Problems flagged in advance
Machine learning models monitor the core and anticipate operational failures, deviations and opportunities.
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.
No year-long project, no new hires. A phased rollout with visible delivery at every stage.
01
We map sources, systems and the decisions the core needs to support.
02
Sources connected to the data lake on Cloud Storage + BigQuery, with data flowing.
03
Agents and models configured around your business rules, validated with your team.
04
Dashboards, alerts and automations live, with your team operating from the core.
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.
Managed data lake and analytics at scale on the data layer.
Agents and language models on the intelligence layer.
Encryption, IAM and Google Cloud global infrastructure.
LGPD compliance and native Google Cloud security across every layer. Your data is never used to train models.
How we protect it
Data processing designed for LGPD compliance from the architecture up.
Each client's data lives isolated, in its own environment.
Encryption in transit and at rest, native to Google Cloud.
Granular permissions define who sees and who operates each piece of data.
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
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.
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