Data confidence
Validated data instead of “visibility” theater
FogLifter focuses on reconciling records, exposing gaps, and improving confidence before teams make financial or operational decisions.
Why FogLifter
Verified data. Faster insight. Platform flexibility.
FogLifter® gives IT, finance, and operations teams a data foundation they can actually defend — validated records, reconciled across every system of record, with the context to understand what things cost, who owns them, and how well they're performing.
Built to complement the systems you already own while making their data more usable.
Action queue
Flag variance, orphaned assets, ownership gaps, and modernization candidates in one place.
Executive summary
Surface role-specific insights for IT finance, operations, service, and leadership audiences.
Decision intelligence
Turn infrastructure signals into recommendations that connect technical debt to business impact.
Trust Validated data model
Ownership Asset, service, and cost context
Action Workflow-ready outputs
View
Role
Signal
Cost drill-down
IT Finance
Invoice variance flagged
Asset confidence
Operations
Configuration drift
Modernization view
CIO
End-of-life risk
Confidence
98.4%
Record confidence score across correlated sources.
Issue
Owner
Status
Unmapped cost center
FinOps
Review
Invoice line mismatch
Ops
Queued
Validated configuration
CMDB
Resolved
A platform built from the problem outward.
FogLifter wasn't designed as a dashboard layer on top of existing tools. It was built to solve the specific friction that happens when enterprise IT data is fragmented, inconsistently named, and impossible to reconcile at speed.
10+ years of operational modeling patterns built into the platform approach
1 foundation for cost, asset, ownership, performance, and risk context
Faster time from question to evidence-backed answer
Less rework from manual reconciliation and one-off spreadsheet logic
Why Now
Fragmented data creates cost, trust, and speed problems at the same time.
- ! Finance and operations teams lose time explaining conflicting records instead of acting on them.
- ! Manual reconciliation hides the operational cost of low-confidence data.
- ! Executive decisions become slower when ownership, spend, and service relationships stay unclear.
What makes FogLifter different
Validated, flexible, and able to fit beside the systems customers already have.
- ✓ Connect real operating sources rather than relying on a single system of record.
- ✓ Explain the estate in business, financial, and operational terms for different stakeholders.
- ✓ Position FogLifter as a complement to platforms such as Apptio® or ServiceNow® where that reduces buying friction.
Compared with the status quo
What it actually costs to stay with the status quo
Most organizations aren't choosing between FogLifter and a competitor. They're choosing between FogLifter and the operational reality they already know - unreliable data, opaque costs, slow time-to-value, and an ever-growing maintenance burden that quietly drains budget and credibility.
What status quo looks like
Unreliable Data Quality
"No one trusts the numbers." Multiple systems of record with conflicting asset counts, inconsistent naming conventions, and no clear way to determine which source is authoritative. Teams spend more time debating whether data is correct than acting on it.
Slow Time-to-Value
"Months of cleanup before anything is usable." Traditional approaches require clean source data before modeling can begin — which means extended data remediation projects that delay every downstream decision.
Cost Source Opacity
"You know what you spend, but not why." Invoices arrive, budgets get approved, but no one can trace a cost back through the service, the asset, the owner, and the contract that generated it. Cost of assets is visible; cost of service is a black box.
Limited Operations Insight
"Infrastructure metrics without service context." Tools report that storage was up 99.99% or a VM was provisioned, but no one connects those signals to the service they support, the SLA they're bound to, or the business outcome they affect.
Complex / Custom Data Ingestion
"Every new source is a custom integration project." Connecting a new billing feed, CMDB export, or cloud provider means custom scripts, manual mapping, and ongoing maintenance. Scaling to 20 or 40 sources becomes an engineering burden
Expensive to Maintain
"The hidden labor cost of keeping the lights on." Manual reconciliation cycles, monthly dispute resolution, spreadsheet-driven chargeback, and FTE hours spent re-litigating the same data quality issues every billing cycle. The cost of dysfunction compounds silently.
What the FogLifter alternative looks like
Validated at ingestion, not after the fact.
The ontology normalizes naming, reconciles overlapping or duplicate records, and flags conflicts at the point of ingestion — so quality issues are surfaced and tracked in real time rather than silently inherited downstream.
Workshop to MVP in weeks, not quarters.
FogLifter doesn't require clean source data. The extractload-transform approach ingests data as-is and applies context afterward, so initial validation and correlation can begin within weeks, not after a six-month cleanup effort.
Full cost attribution from invoice to service to owner.
FogLifter correlates billing, infrastructure, and service records so you can clearly see not just what something costs, but what it truly costs to deliver, maintain, and right-size over time — revealing the full iceberg beneath the unit price.
SLA-to-KPI-to-SLO chaining across services
FogLifter bundles individual infrastructure components into service-level measurements — so instead of knowing your NAS was up while the app was slow, you measure what the business actually cares about: end-to-end service performance.
75+ validated sources, API and secondary ingestion.
FogLifter supports API collectors and secondary ingestion (spreadsheets, CSVs, text files, email) with an ontology that already encodes tower structures, naming taxonomies, and classification rules — so new sources map to the model without starting from scratch.
Automate the reconciliation, redeploy the people.
FogLifter eliminates the recurring manual labor — 100+ man-hours saved per month in operational processes, 85% reduction in billing disputes — so the teams currently maintaining workarounds can focus on decisions instead of data hygiene.
Where FogLifter fits
Works alongside the platforms you already have.
The foundation layer your other tools depend on
When invoices, asset records, CMDB entries, and cloud spend are reconciled into one trusted model, every downstream system — and every team using it — gets better inputs. FogLifter operates at that layer, so the confidence flows up rather than being bolted on afterward.
Complement cost management with stronger underlying validation
Use FogLifter to tighten the linkage between operational evidence and financial views when customers need more trust in the inputs behind their technology business management story.
Add cross-source validation and estate correlation to workflow-heavy environments
Position FogLifter as a way to strengthen service, CMDB, and ownership confidence while preserving established operational workflows.
Proof and outcomes
What customers find once the data foundation is right.
Customer outcome
$55M+ in validated IT cost outcomes — healthcare system.
Across 70,000+ servers, 27 petabytes of storage, and three managed service providers — FogLifter unified cost of service and SLA performance into one reconciled view.
Enterprise readiness
Designed for environments where auditability isn't optional.
FogLifter's governed data model supports controlled access, traceability, and defensible outputs — so the platform fits inside enterprise security and compliance expectations, not alongside them.
Platform fit
Complements Apptio®, ServiceNow®, and existing ITSM investments.
FogLifter doesn't require replacing what's already in place. It improves the confidence and context of the data those platforms depend on — so existing workflows get better inputs without disruption.
Why buyers change direction
The status quo usually fails because the data picture is fragmented and every team sees a different truth.
Learn more about Data confidence
Domain intelligence
Ontology-driven understanding
The platform understands how assets, services, ownership, costs, and policy relate, which is what gives NLQ its accuracy and usefulness.
Practical fit
Designed to work alongside existing investments
FogLifter can strengthen the data story around current platforms rather than demanding rip-and-replace.
The real cost of fragmented data isn't the data — it's what it blocks.
Every reconciliation cycle that doesn't close, every billing dispute that drags on, every decision that waits for someone to re-check the numbers — these are operational costs that accumulate quietly and rarely appear on a budget line.
What buyers are really comparing against
The real competitor is often current-state inertia: monthly spreadsheet stitching, manually curated inventory views, billing dispute loops, weak service traceability, and cloud conversations that stop at generic cost charts.
- Manual reconciliation that never fully stabilizes.
- Teams operating from different definitions of the same asset or service.
- Decision cycles slowed by re-validation instead of action.
"Most clients aren't comparing us to a competitor. They're comparing us to what they're doing today — which is usually a combination of five tools, three spreadsheets, and a monthly argument about whose numbers are right. That's the bar we're clearing."
Sean Moriarty, Client Lead FogLifter
Keep going — there's more behind each of these.
This page covers the why. The pages below go deeper into timing, differentiation, and how FogLifter sits alongside your existing stack.
Why Now
The operational and financial cost of low-confidence IT data — and why it compounds over time rather than staying flat.
Differentiators
What separates FogLifter from generic visibility tools — validated data, ontology-driven modeling, and time to value.
Platform fit
How FogLifter complements Apptio®, ServiceNow®, CMDB, and cloud tools without requiring a rip-and-replace motion.