0DB’s Data Matrix
AI agents are only as smart as the data underneath them.
Data Matrix discovers, cleanses, governs and protects your enterprise data so the AI built on it can be trusted, audited and adopted. Quality inputs, governed and monitored flow, trusted outcomes.
Why Data Comes First
Data governance ensures quality inputs. AI governance ensures trusted outcomes.
Data maturity comes down to how well a company governs and uses its data for decisions. Most of this work is invisible to the people who use the AI, which is why it is so often skipped, and why AI pilots stall. 0DB does it first, on a platform that has done it for twelve systems.
01
Sources
02
Ingestion
03
Storage
04
Processing
05
Serving
06
Analytics
Governance across every stage — quality, access, catalog, lineage, retention, PII masking
What Data Matrix Includes
Four components, one governed data layer.
Data Discovery & Ingestion
Connectors and pipelines that find and collect data from enterprise applications, APIs, documents, POS and transactional systems, IoT sources and third-party platforms, then normalize and route it.
Data Governance
Cleansing, deduplication and standardization; quality monitoring; access management and least-privilege controls; catalog and lineage; retention and compliance rules (SOC 2-aligned, GDPR, DPDPA and sector requirements).
PII Protection
Tokenization and masking of personal and sensitive fields before any model, analyst or non-production environment sees them, with referential integrity preserved so applications and analytics keep working.
Data Analytics & Visualization
Dashboards and visualization over governed data, plus data agents (harvesters, quality monitors, enrichment agents) that keep the data ready for the harness and for your teams.
Service Tiers
Three tiers, priced on the value returned.
Tier
What you get
Best for
Foundation
Data cleansing (formatting, deduplication, standardization), data security and access management, compliance-ready controls. The baseline every AI build needs.
Any company preparing data for AI or analytics; every 0DB build starts here
Governed
Foundation plus PII masking and tokenization, visualization, and data agents (harvesting, monitoring, enrichment) running on your governed data.
Regulated or data-sensitive operators that need protected, analyzable data across several applications
Extended
Governed plus enterprise data governance support across systems 0DB did not build: catalog and lineage, zero-data-copy patterns, bring-your-own-cloud licensing and new compliance regimes as they arrive.
Enterprises extending governance to their own applications and estates
How It Starts
A data engagement starts with a sample, not a quote.
01
Data Audit
A short, fixed-fee audit on a sample of records (for example 1,000) to measure error rates, duplicates, structural gaps and, for non-production environments, how many unmasked personal records sit exposed. No quote before the audit.
02
Quantify the Cost
Together we translate the findings into business cost: failed deliveries, dead leads, wasted marketing spend, payment rejections, regulatory exposure. What does one failed delivery or one exposed record cost you?
03
Choose the Scope
Three options, so you control the value returned: Base Clean (fix formatting and syntax errors), Enrich & Deduplicate (merge records to maximize sales and marketing efficiency), Continuous Governance (automation that keeps data clean and protected over time).
04
Guaranteed Outcomes
We commit to results, not hours. Outcome targets are agreed in writing before work starts and measured against the audit baseline.
PII Protection
A safe sandbox for engineering and analytics.
Engineering and analytics teams often cannot use real data in testing or analysis because of compliance rules, so work slows or, worse, real data leaks into non-production systems. Data Matrix masks personal and sensitive fields while preserving the structure and relationships your applications depend on.
Compliance Minimum
Direct identifiers such as government IDs, card numbers and phone numbers.
Full Environment Anonymization
Relational masking across all testing and analytics pipelines.
Continuous Governance
Automated masking for every incoming pipeline so compliance does not drift.
Inside Every Build
Data Matrix is one of the seven reusable core components of the platform.
In a Custom Private AI build it runs in the private environment alongside the harness: it feeds context packs and retrieval, tokenizes sensitive fields before any model sees them, and keeps the audit trail’s figures linked to governed sources. Companies that start with a standalone Data Matrix engagement carry that work straight into a later AI build.
Start with a sample of your data.
A short, fixed-fee audit on a sample of records tells you what your data is actually costing you, and what it would take to make it ready for AI.