Value in the first week,
not the first quarter.

Enterprise governance shouldn't take months to show ROI. CelesteIQ is designed to deliver immediate, measurable value from day one - no professional services required.

1
Day 1
Connect your sources
Point CelesteIQ at your warehouse, databases, or cloud storage. 500+ native connectors, no ETL required.
2
Day 1–2
Auto-catalog & classify
AI scans and profiles every asset. PII and sensitive fields classified with confidence scores in minutes.
3
Day 3–5
Graph comes alive
Lineage, ownership, and quality woven into the governance graph. Explore your entire data estate visually.
4
Week 1
Prove value
AI Readiness Score live. ROI dashboard showing governance impact. Stakeholder-ready from day one.
Governance ROI Dashboard

The only platform that
proves its own value.

ROI traceable through the governance graph - in both governance and AI-enablement terms. No more hoping governance is working.

3.2×
Faster AI project delivery
Less time on data prep, more time building models when governance is in place from day one.
68%
Reduction in data incidents
Proactive quality gates and anomaly detection catch issues before they reach production pipelines.
$2.4M
Avg. annual risk avoided
Compliance and data breach risk reduction, traceable to specific governance actions in the graph.
91%
Catalog coverage at week 1
Automated discovery populates and classifies your catalog before the first sprint ends.
5×
More datasets AI-ready
Continuous quality monitoring and lineage tracking unlock more of your estate for AI workloads.
100%
AI action audit trail
Every AI action logged with graph-based reasoning chains for regulated industries.
AI Readiness Score

Is your data
ready for AI?

Continuously-updated composite metric navigable through the governance graph - see exactly which gaps drive your score and how to close them.

79 /100
Completeness
91%
Consistency
84%
Freshness
76%
Compliance
65%
Lineage coverage
82%
Get your score →
Live score updates
Score refreshes continuously as your data changes - always current, never stale.
Graph-navigable gaps
Click any dimension to explore root causes directly in the governance graph.
Training data assessment
AI-specific quality dimensions purpose-built for ML readiness and model fitness.
Use case registry
Map datasets to AI initiatives with per-use-case readiness tracking across your estate.
AI Transparency Center

Every AI action,
fully accountable.

Full audit trail for every AI action taken on your data. Graph-based reasoning chains built for regulated industries - explain every AI decision to auditors and regulators.

Graph-based reasoning chains
Every classification decision traceable to the graph path that produced it - inspectable at any depth.
Immutable action log
Timestamped record of every suggestion, rule, and automated action - exportable for compliance audits.
Human-in-the-loop overrides
Every AI suggestion can be accepted, rejected, or modified - with the decision recorded in the graph.
Regulator-ready exports
One-click audit packages with full reasoning chains, confidence scores, and data provenance.
AI action log Live
Classify orders.customer_email tagged PII · confidence 98% 0:12s
Suggest Quality rule proposed for revenue_daily 1:04s
Anomaly Null spike detected in users.signup_date 2:33s
Classify payments.card_last4 tagged PCI · confidence 96% 3:15s
Lineage New path: raw_events → ml_features 4:50s
Glossary Term "Monthly Active User" linked to 4 assets 6:02s
AI-Assisted Business Glossary

Terms suggested,
linked automatically.

Business terms are surfaced and connected to your data assets automatically. The built-in AI use case registry ties governance directly to your ML initiatives.

Monthly Active User AI suggested
A user who has performed at least one qualifying event within a rolling 30-day window, as defined by the product analytics team.
analytics.events users.profiles ml_features.engagement
Customer Lifetime Value AI suggested
Predicted total net revenue attributable to a customer over their entire relationship with the business, used in churn and acquisition models.
orders.revenue ml_features.ltv
Data Steward AI suggested
The designated business owner responsible for data quality, access decisions, and policy compliance for a given domain or dataset.
governance.roles policy.ownership
Training Dataset AI suggested
A curated, versioned snapshot of data used to train a machine learning model, with documented quality dimensions and lineage to source systems.
ml_features.* ai_use_case_registry

Ready to govern
at AI speed?

Join forward-thinking data teams who trust CelesteIQ to keep their AI pipelines clean, compliant, and truly ready.

Request a Demo Talk to Sales