OLD
Traditional SaaS
Predictable Per-Seat Cost
$20/seat/month, same every month. Budget once, forget about it.
Static Utilization
Every seat costs the same regardless of usage.
AI coding assistants execute autonomous agentic loops — reading files, running tests, iterating on errors — burning metered LLM tokens with no human in the loop. You don't find out until the invoice arrives.
Avg daily cost
$6
Power user peak
$1,500/day
StringCost closes the gap.
Real-time anomaly detection fires in 15 minutes. User-level and project-level spend tracking — before the invoice arrives.
Trusted by YC and a16z-backed teams
AI tools didn't just change how developers write code — they changed how vendors charge for it.
Predictable Per-Seat Cost
$20/seat/month, same every month. Budget once, forget about it.
Static Utilization
Every seat costs the same regardless of usage.
Volatile Per-Token Cost
A single agent loop can 10x your bill overnight.
Dynamic Consumption
Power users cost 50x more than light users.
78% of IT leaders report unexpected charges from AI consumption tiers. The flat-rate SaaS budget is a myth in the age of LLM inference.
When procurement moves slower than productivity, developers take matters into their own hands.
Engineering teams expense Cursor, Copilot, and direct API subscriptions on separate corporate cards — zero central IT oversight.
When corporate VPNs block AI tools, developers photograph code on personal phones and use consumer-grade AI via mobile networks.
20 developers independently expensing a $20/mo AI tool costs $4,800/year in unmanaged spend — plus IP exposure to unvetted LLMs.
Monolithic AI invoices are a relic. Modern FinOps requires attribution down to the user, the repo, and the cost center.
License Harvesting & ROI
Chargebacks & Capitalization
Each AI tool provides different levels of governance. StringCost fills the gaps across all of them.
StringCost unifies all three into a single pane of glass with real-time attribution, anomaly detection, and automated chargebacks.
A typical mid-market company with 150 technical staff faces $120K–$180K/year in baseline AI tool costs — before overages.
User-level tracking. Project-level attribution. Real-time anomaly detection. One platform.