Technology & Software
Know what your technology actually costs and what it returns.
Software companies run on technology, but few CFOs can put a real number on cost per engineer, per product, or per customer. Ternary can.
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Map all technology estate spend to engineers, teams, services and product lines.
Engineering cost attribution
Attribute cloud and infrastructure spend to engineering teams, services, and product lines. Know what every feature you ship and every customer you serve costs.
Multi-cloud intelligence
One view across AWS, Azure, GCP, and private cloud. A normalized taxonomy removes provider blind spots and survives migrations.
AI cost governance, user-first
Who is consuming AI, at what cost, against which outcome, broken down by developer and product. Token-level attribution for OpenAI, Anthropic, Bedrock, Vertex, and Azure OpenAI.
COGS vs. R&D clarity
Separate infrastructure COGS from R&D spend. Improve gross margins with granular hosting and compute cost allocation per customer and per feature.
User-level attribution as primary need
“AI costs are escalating fast. The core question I’m trying to answer is. who is consuming AI and at what cost, broken down by individual developer and product, not just which models are being used”
Head of Engineering Finance
Education SaaS
The margin lever hiding in your infrastructure
90-95% of SaaS spend sits in cost to serve, and AI is compounding it at 3.2x. The question is no longer what the licenses cost. It’s whether the portfolio is returning value against your gross margin goals. Ternary makes that question answerable.
AWS / Azure / GCP
Kubernetes cost allocation
CI/CD pipeline costing
Per-customer COGS
LLM token tracking
Ready to govern your full technology estate?
Talk to a Ternary team member who works with Finance leaders every day, or book a technical demo for your FinOps team.
Attending Gartner Finance Symposium? Reserve a meeting.
Finance-first data model
Judgment infrastructure
SAP ยท Oracle ยท Workday integration
Token-level AI attribution
Vendor lock-in avoidance