StackTrack replaces spreadsheet-driven IT budgeting with AI-powered, driver-based forecasting across your entire technology portfolio — SaaS, cloud, AI inference, security, and infrastructure.
Organizations spend millions on technology every year, yet the tools for forecasting and managing that spend have not evolved in decades.
SaaS contracts in one spreadsheet, cloud bills in another, AI inference costs buried in engineering dashboards. No unified view exists.
Finance teams forecast technology costs using last year's numbers plus a growth factor. That breaks when headcount shifts, workloads spike, or AI adoption accelerates.
Contract renewals with automatic escalators catch teams off guard. By the time they notice, the negotiation window has closed.
AI inference, tokens, and agent compute are now the fastest-growing cost category in enterprise tech — and nobody has a forecasting model for it.
StackTrack ingests and normalizes messy technology cost data using AI, extracts the billing drivers behind each service, and models how costs evolve based on real business metrics.
Ingest billing data from any source — SaaS invoices, cloud consoles, vendor contracts, AI API billing, security tools. StackTrack normalizes it all into a unified taxonomy automatically.
Model how costs evolve based on headcount growth, workload scaling, revenue shifts, and contract renewals — not static budget lines.
Track every contract renewal with utilization data, risk scoring, and optimization signals. Know which renewals to renegotiate months before auto-renewal kicks in.
Model baseline, growth, and contraction scenarios across your entire technology portfolio. See how hiring plans, market shifts, and vendor changes impact your budget in real time.
Surface vendor overlap, underutilized licenses, approaching tier thresholds, and cost anomalies before they become budget problems.
SaaS, cloud, AI, security, infrastructure, telecom — every technology dollar in one platform with consistent taxonomy, forecasting, and governance.
AI inference, tokens, and agent workloads are now the fastest-growing and least predictable cost category in enterprise technology. StackTrack's AI Spend Intelligence module brings the same forecasting discipline to AI costs that the platform delivers for SaaS and cloud.
Pull billing data from OpenAI, Anthropic, Azure OpenAI, Bedrock, Vertex AI, and AI gateway telemetry into a unified view.
Model AI costs based on inference volume, model mix, agent sessions, and workload scaling — drivers that don't exist in traditional budgeting.
Shadow AI discovery, team-level cost attribution, ROI analysis by use case, and committed-use threshold alerts.
Connect AI spend to business outcomes. Answer the question every CFO is asking: is our AI investment delivering value?
StackTrack integrates with your cloud billing consoles, SaaS vendor portals, contract management systems, and AI provider APIs. Setup takes hours, not months.
Our AI engine classifies, categorizes, and normalizes your cost data — extracting the billing drivers behind each service and mapping them to your business metrics.
Driver-based models project your technology costs based on how your business actually operates. Scenario analysis shows what happens when plans change.
Proactive alerts surface renewal risks, optimization opportunities, vendor overlap, and budget variances — giving you time to act before costs become surprises.
Enterprise technology spending is at an all-time high, AI costs are exploding, and legacy budgeting tools were never built for this complexity.
StackTrack is built by IT operations veterans who spent years managing technology budgets inside the enterprise. We did not read about this problem in a market report — we lived it. Every feature in the platform exists because we needed it and it did not exist.
Our founding team combines deep ITAM and technology operations expertise with the engineering capability to build an AI-native platform from the ground up.
15+ years managing technology spend, vendor relationships, and IT asset management inside enterprise organizations.
Engineering leadership with experience building scalable data platforms, AI/ML pipelines, and enterprise SaaS applications.
Direct relationships with CIOs, CFOs, and FinOps practitioners who are the buyers of this platform.
We are onboarding design partners now. If you are managing technology spend across SaaS, cloud, AI, and infrastructure — and tired of doing it in spreadsheets — we would love to talk.