Data your AI can trust

Reach your entire operation inside .

Managed data platform for e-commerce, retail and lead generation operations: we connect your sources, apply your business's semantic layer and deliver everything through the API and through MCP.

See the live demo ↘
Claude Code precisian-lake MCP connected · 7 sources
$claude
Model operation · simulated data · no action executed
Simulation running
Connectors
Google Analytics
Google Ads
Meta
Instagram
TikTok
Pinterest
LinkedIn
VTEX
Shopify
Magento
SAP
RD Station
01 / CONTEXT

The same AI.
Two answers.

On one side it reads loose spreadsheets and every platform speaking for itself. On the other, a single lake with your business rules written down. The question is exactly the same.

THE QUESTION“Why did my CAC go up last week?”
LOOSE FILESevery source speaks for itself
SpreadsheetMeta dashboardERP
THE ANSWER“CAC went up 18%. This may indicate a drop in efficiency. Worth reviewing the campaigns.”WHAT IT DID NOT KNOW
  • It added up spend from three files closed on different dates
  • It does not know whether “new customer” includes someone who bought in the physical store
  • “Review the campaigns” is what you were going to do without asking
LAKE WITH SEMANTICSyour business rules
GA4MetaAdsERPCRM
THE ANSWERThere was no drop in efficiency. You bought more reach.

Meta Awareness went from 22% to 39% of the budget. Retargeting is still at R$ 78.

DECISIONDo not cut budget. Move 8% from Awareness to Retargeting.
5 of 7 sources · 30 days · CAC with your definition

→ It is not a better AI. It is the same AI, with your business translated for it.

02 / PLATFORM

The path of the data,
from question to answer.

The sources feed the lake on their own, all the time, without anyone asking. When someone asks a question, the semantic layer turns that question into a metric, pulls only what it needs from the lake and returns the answer with the calculation on display. Follow the path below.

1 · Ingestionsources push, the lake models

  1. Sourcesmedia · store · ERP · CRM
    + connectors
  2. Data Lakestored raw, with the full history
    exactly as each system sent it
    • VTEXOrder #48213 started on e-commerce
    • TikTokAd click · Summer campaign
    • ERPInvoice 123433 issued
    • POSPurchase at store 06 · ID ***412
    Modeling · data becomes information
    OrdersCustomersInventoryMediaFinance

2 · Querythe question pulls, the semantic layer fetches and returns

  1. ClaudePrecisian connected

    Which product sells well and loses money after CAC?

  2. Semantic layertranslates, then fetches

    Received: “does it lose money after CAC?”

    net_margin

    revenue − total cost − CAC

    OrdersFinanceMedia

    Three categories pulled from the lake and returned as a single metric.

  3. Claude

    SKU 8842 ranks 1st in revenue and is the only one in the top 5 selling at a negative margin: −R$ 2.00 per unit.

    289.90 revenue − 177.20 total cost − 114.70 CAC

Model operation · retail with e-commerce, 28 stores. Not real client data, it is the shape of the analysis.

GETTING STARTED IS ONE CLICK

You connect.
The rest comes ready.

Authorizing the sources is the only part that depends on your team. Precisian loads the history, reconciles the keys, applies the semantic layer and hands back the API and MCP ready for day-to-day use.

Only step 01 depends on you.

YOU DO IT

Authorize access. That is it.

done

Log in to the account you already have and click authorize. Precisian never receives, stores or asks for your password.

AVAILABLE SOURCES6 of 6 connected
Connected

Google Ads

Spend, campaigns and conversions

Aurora Ads · 883-421-9077Switch account
Connected

Meta Ads

Spend and results from Facebook and Instagram

Aurora Cosméticos · act_1099384Switch account
Connected

Google Analytics

Sessions, traffic source and conversions

Aurora Cosméticos · 312445901Switch account
Connected

VTEX

Orders, products, inventory and customers

auroracosmeticos.myvtex.comSwitch account
Connected

ERP

Billing, cost, cancellations and invoices

aurora-prd · ledgerSwitch account
Connected

CRM

Contact, journey and consent

Aurora CosméticosSwitch account
  • no pipeline to maintain
  • no dedicated data engineer
  • no tool migration
  • no months-long project
03 / USE CASES BUILT BY THE CLIENTS THEMSELVES

What has been built
on top of the lake.

With the MCP open, clients are not stuck with our interface: they build their own. These three systems were developed by the clients' own teams and query the lake through the same MCP.

The client's conversational agent, with a field to ask questions of the operation's data and a choice of analysis profile.
01 · CONVERSATIONAL CHATTHEIR OWN AGENT

An agent that talks to the operation itself.

The client built their own assistant, with the business context and rules embedded. On every question, the agent queries MCP and gets the data already reconciled and defined. The answer comes out with the whole operation behind it.

VIA MCPNatural language queries
The client's dashboard platform, with tabs per client, a campaign table, and charts of impressions and sessions by source.
02 · DATA VISUALIZATIONTHEIR OWN PLATFORM

Each team builds the panel it needs.

A drag and drop dashboard platform, built by the client. The team drags the blocks, assembles its own view and generates a report. Every number on screen comes from the lake through MCP, with the same definition behind it.

VIA MCPDashboards built by the team
The manager's daily summary, with the month's budget and target, the expected pace and a list of points that need attention.
03 · ALERTS AND REPORTSMANAGER'S PANEL

The insight arrives before anyone asks.

An automatic daily summary, with budget and target against the expected pace, performance by campaign and a list of what needs attention: budget that stopped running, cost per lead off target, creative wearing out.

VIA MCPAn automatic reading, every day

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04 / SECURITY

Your data has an owner, an address
and a history.

  • Isolated environment per clientno shared database
  • End-to-end encryptionin transit and at rest
  • Least privilege access, with MFAby role, revocable at any time
  • Every query loggedauditable down to the data that supported the answer
  • Backups with tested restoresthe routine does not stay on paper
  • ISO/IEC 27001 data centerswith DDoS protection at the network level
  • AI under explicit policyuse for training is never an assumption
  • Planned exityou take the whole lake if you decide to leave
Need the technical detail?

Architecture, sub-processors, retention policy and the split of responsibilities are in the full technical sheet, sent on request.

Request the technical sheet ↗

The ISO/IEC 27001 certification is of the infrastructure where the platform runs, not of the Precisian product.

05 / NEXT DECISION

Which question is worth connecting first?

Tell us the decision your team keeps postponing because the numbers do not add up. The first conversation is there to map sources, risks and the first useful cross-reference.

01 · decision02 · sources03 · first map