Background Paths
Background Paths
Enterprise AI Data Platform

From raw documents to boardroom decisions in one governed platform.

Datatera unifies AI Data Extractor, AI Data Enricher, AI DWH & Datamarts, and AI Dashboards & Analytics into a single enterprise system. Connect your existing sources, structure unstructured data, and deliver explainable answers.

TRUSTED BY FINANCE, OPERATIONS, AND STRATEGY TEAMS

Live pipeline view

  • AI Data ExtractorIngest and normalize
  • AI Data EnricherResolve and enrich
  • AI DWH & DatamartsGoverned data layer
  • AI Dashboards & AnalyticsDecisions and actions

Four product modules, one platform

Each module can run independently, but the power of Datatera comes from a unified, governed data loop that connects extraction, enrichment, storage, and analytics without brittle pipelines.

AI Data Extractor

Capture every source without brittle ETL

Ingest documents, inboxes, files, and systems. Normalize messy inputs into structured entities and events with a full audit trail and configurable extraction rules.

AI Data Enricher

Resolve entities and add business context

Deduplicate records, match entities across sources, and enrich with trusted data to create a single, explainable view of customers, vendors, products, and contracts.

AI DWH & Datamarts

Governed data layer with semantic models

Build secure, governed datasets with lineage, access policies, and data contracts. Deliver domain-specific datamarts without rebuilding your existing warehouse stack.

AI Dashboards & Analytics

Turn governed data into decisions

Narrative dashboards explain what changed and why. Teams trigger actions from the same interface with clear context and traceability.

One continuous workflow from capture to action

Datatera replaces fragmented point solutions with a single loop that keeps governance, context, and decision outputs tied to their sources.

Step 1

Collect

Extract data from documents, email, exports, and systems with AI Data Extractor.

Step 2

Enrich

Resolve identities, add context, and deduplicate with AI Data Enricher.

Step 3

Govern

Model and secure data with AI DWH & Datamarts, enforcing policies and lineage.

Step 4

Analyze

Deliver narrative dashboards and action workflows with AI Dashboards & Analytics.

Built for the way enterprise teams actually work

Finance and CFO office

Close faster and explain results with live, governed data.

  • Unified spend view by vendor, category, and region.
  • Automated invoice capture and variance analysis.
  • Board-ready narratives tied to source data.

Operations and Supply chain

Spot bottlenecks early and act before they impact margin.

  • One model for logistics, inventory, and suppliers.
  • Detection of shortages, SLA risks, and anomalies.
  • Workflows to trigger replenishment and escalation.

Sales, Revenue, and GTM

Clean data and context inside the systems sales already uses.

  • Enriched, deduplicated accounts and contacts in CRM.
  • Competitive and market intelligence in selling views.
  • Forecasts with explainable drivers.

Strategy, Market, and Product

Build strategy on traceable data, not static spreadsheets.

  • Turn market reports into a searchable knowledge base.
  • Map segments, players, and trends with governance.
  • Scenario analysis grounded in audited data.

Plugs into your existing landscape

Datatera connects to CRM, ERP, data lakes, warehouses, file stores, and email systems. It adds a governed semantic layer on top without a rip-and-replace project.

Connect

Connectors for enterprise systems, data stores, and custom APIs.

CRM and ERP
Data lakes and warehouses
Docs and email

Model and govern

Semantic models, access policies, lineage, and audit trails across the loop.

Row and column policies
Lineage and data contracts
Monitoring hooks

Deliver outcomes

Decision dashboards, exports, alerts, and workflow triggers.

Dashboards and narrative packs
Exports and APIs
Automated actions

Security and governance are core

Built for enterprise requirements with isolation, auditing, and policies that keep data safe across regions and teams.

Tenant isolation

Each customer runs in a logically isolated environment with strict boundaries.

Access control

SSO, RBAC, row-level and column-level policies, and audited permissions.

Encryption by default

Encryption in transit and at rest with retention controls and audit logs.

Deployment options

Managed cloud, dedicated VPC, or on-prem deployments to match compliance needs.

From pilot to enterprise standard

A structured rollout that proves value quickly and scales across regions.

1. Discovery and architecture

Align on 2-3 use cases and prioritize the systems to connect first.

2. Pilot (6-8 weeks)

Deliver impact in one function with real data and measurable outcomes.

3. Scale-out

Expand coverage across teams, regions, and systems with governance in place.

4. Enterprise standard

Become the platform of record for analytics, AI, and reporting.

Ready to bring governed AI data to every team?

Book a call to map your sources, security requirements, and highest-impact use cases.

Book a call