Enterprise IT data foundation

Know what you have. Know what it costs. Prove it.

FogLifter® connects billing, cloud, infrastructure, CMDB, service, and operational records into one governed data foundation so finance, operations, and service leaders can ask better questions and act with confidence.

Built to surface the true cost of service, validate billing and inventory, and support faster cross-team decisions.
Validated IT data foundation
98.7% record confidence
412 sources correlated
NLQ grounded answers
Data confidence engine

Normalize, map, and reconcile data across billing, asset, and service records with a single trusted layer.

CMDB vs. discovery 99.1% match
Invoice vs. contract Variance flagged
Cloud spend Mapped to team
SLA evidence Ready for review
3x faster investigation path from question to validated answer
40% less manual reconciliation effort in this sample story
24/7 decision support across cloud, infra, billing, and CMDB sources
1 view for costs, assets, ownership, and modernization signals

How FogLifter works

From fragmented enterprise data to trusted operational and financial insight — connect inputs, validate records, correlate cost and service relationships, and deliver role-specific dashboards and workflows.

See the Operating Model
How FogLifter works: enterprise data sources flow through FogLifter Collectors into the FogLifter Data Foundation, which deduplicates, normalizes, aggregates, correlates, enriches, and forecasts data — producing service & SLA insight, cost & financial insight, compliance & risk insight, executive dashboards, and validation & reconciliation views.
FogLifter transforms complexity into clarity — so leaders can act with confidence.

Two solution paths, one trusted data foundation

FogLifter helps IT, finance, and operations teams move from fragmented records to validated answers — across both technology business management and financial visibility programs.

Accurate Operational IT Data

TBM

Map technology spend to services, owners, and operating context — backed by validated, reconciled IT data.

  • ITAM Accuracy & Validation
  • IT Data Accuracy
  • Automated Data Integration & Ingestion
  • CMDB & Validation
  • Asset Inventory
  • Invoice Validation
IT Financial Management (ITFM) / TBM

ITFM & FinOps

Bring financial visibility, optimization, and governance into one defensible operating picture across cloud and on-prem.

  • IT Cost Transparency
  • SLA Measurement & Performance
  • IT Spend Optimization
  • IT Financial Visibility
  • Showback & Chargeback
  • Cost of Service

From raw data to decisions your teams can defend.

FogLifter ingests, normalizes, and correlates records from every system of record — so the answers your finance, operations, and service teams rely on are grounded in evidence, not assumptions.

How FogLifter works

Source systems are ingested, normalized, and reconciled into a governed data model. FogLifter then correlates costs, assets, ownership, service, policy, and performance so teams can move from raw records to decision-ready views.

  • Cloud, CMDB, billing, infra, and service records flow into one modeled foundation.
  • Validation logic continuously improves record confidence and exposes gaps.
  • Dashboards, exports, workflows, and NLQ all operate on the same trusted model.
From raw records to trusted answers
1
Ingest Cloud, CMDB, billing, service, infra
2
Normalize Map records, reconcile keys, refresh truth
3
Correlate Connect assets, owners, costs, risk, SLA
4
Answer Dashboards, workflows, NLQ, exports

Built for the scrutiny that comes before the decision.

Evaluators ask hard questions — about data integrity, AI reliability, and whether a new platform will disrupt existing systems. FogLifter is designed to answer all three.

Validated data before AI answers

NLQ sits on top of reconciled, ontology-driven data so responses stay grounded in service, asset, and financial context.

See AI / NLQ

Better proof even when public logos are limited

Use metrics, implementation evidence, screenshots, and anonymized outcomes to build buyer confidence earlier.

Explore outcomes

Fits with existing systems

FogLifter complements current investments by improving data confidence and interpretability across them.

See platform fit

Keep the next step flexible

Some buyers want a demo now. Others want more evidence first.