An intelligent layer over all your data
We connect to your data where it already lives: Fabric, Databricks, Snowflake, BigQuery. A layer with governance, security and traceability that makes your data ready for agents to consume. The more your operation runs, the more AI learns about your business.
Your data organized in an AI-First model. Accessible, standardized and ready to power agents, automations and decisions. The more the platform learns about your business, the smarter the results generated from your own analyses become.
Integration and unification of data sources
Connect ERPs, CRMs, spreadsheets and APIs into a single, secure layer. Your data stays in your environment — OORT organizes, standardizes and governs everything on top, ready for agents to consume.
Native connectors
Direct integration with SAP, Salesforce, HubSpot, Google Sheets, SQL databases and REST APIs. Secure connection, without moving data outside your environment.
Automated transformation
Raw data converted into standardized structures. Cleaning, deduplication and enrichment happen before any agent accesses it.
Unified schema
One consistent data model for the entire operation. Every area speaks the same language, every agent accesses the same truth.
Full governance and traceability
Every data transformation is logged, auditable and controlled. Compliance is not a checkbox — it is part of the architecture.
Data lineage
Trace the origin, transformation and destination of every data point. Know exactly where it came from and who changed it.
Granular access control
Define who sees what, by area, role or project. SSO, SAML and access policies integrated into the HUB.
Continuous auditing
Complete logs of every operation. Ready for LGPD, SOC2, ISO 27001 and any regulatory audit.
Data that powers intelligent agents
Data quality defines AI quality. Well-structured data produces agents that understand your business and improve with every interaction.
Enriched context
Agents access data with metadata, history and relationships. It is not keyword search — it is real business understanding.
Continuous learning
The more the platform processes, the more refined the models become. Your data trains the AI that operates for you.
Automated quality
Real-time validations detect inconsistencies before they reach the agents. Bad data does not become bad decisions.
Data that makes the difference
-80%
time spent on data preparation
100%
traceability in every transformation
3x
more accuracy in agents with structured data
“Companies that invested in AI-powered data management achieved 348% ROI in 3 years, with payback in less than 6 months and US$12 million in generated value.”
“By structuring data in a unified layer with governance, Pfizer reduced total data costs by 57% and accelerated processing by 4x.”
“Companies that invested in data integration and quality achieved ROI between 295% and 482% in 3 years, recovering the investment in less than 6 months.”
From connection to AI-ready data
Connect ERPs, CRMs, spreadsheets and legacy systems. Your data stays where it is — OORT creates a unified, secure layer on top.
From connection to AI-ready data
Frequently asked questions about AI-First Data
It is the data layer of the OORT HUB that unifies, structures and governs all of your company's information sources — ERPs, CRMs, spreadsheets, databases and APIs. Your data stays in your environment; the platform creates an intelligent layer on top, ready to power AI agents. According to Gartner (2025), organizations with structured data governance achieve 2.5x more value from artificial intelligence initiatives.
No. AI-First Data operates on your data without moving it. The platform connects to existing sources (Fabric, Databricks, Snowflake, BigQuery, SAP, Salesforce) via secure connectors, with end-to-end encryption and granular access control. Compliance with LGPD, SOC2 and ISO 27001 is part of the architecture, not an add-on.
Native connectors for ERPs (SAP, TOTVS, Oracle), CRMs (Salesforce, HubSpot, Pipedrive), spreadsheets (Google Sheets, Excel), data platforms (Microsoft Fabric, Databricks, Snowflake, BigQuery), SQL databases, REST APIs, GraphQL and webhooks. If the system has an API, we connect to it.
Automated real-time validations detect inconsistencies, duplicates and missing data before they reach the agents. The platform reduces time spent on manual data preparation by 80% and ensures 100% traceability in every transformation — from origin to consumption.
A data lake stores raw data without context. AI-First Data goes further: it structures, enriches and governs data specifically for consumption by AI agents. Each data point carries metadata, history and business relationships. The more the platform processes, the more refined the models become — agents are 3x more accurate with structured data.