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

FogLifter helps IT, finance, and operations teams move from fragmented records to validated answers — across both technology business management and financial visibility programs.
Map technology spend to services, owners, and operating context — backed by validated, reconciled IT data.
Bring financial visibility, optimization, and governance into one defensible operating picture across cloud and on-prem.
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.
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.
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.
NLQ sits on top of reconciled, ontology-driven data so responses stay grounded in service, asset, and financial context.
Use metrics, implementation evidence, screenshots, and anonymized outcomes to build buyer confidence earlier.
FogLifter complements current investments by improving data confidence and interpretability across them.
Some buyers want a demo now. Others want more evidence first.
Estimate savings from reduced manual reconciliation, fewer disputes, and faster answer cycles.
Short evaluator-ready summaries for architecture, finance, and operations stakeholders.
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