Overview
A comprehensive SaaS platform providing real-time visibility into AI usage costs across multiple providers. Helps engineering and finance teams track spending, identify anomalies, forecast future spend, and receive proactive alerts—all without storing prompts or responses.
Problem
Teams struggle to understand and control AI spending across multiple providers, with limited visibility into costs and optimization opportunities.
Solution
A finance-first platform that provides comprehensive cost visibility and actionable insights without compromising data privacy.
Key Features
Metadata-only ingestion (zero-trust, no prompts/responses stored)
Multi-dimensional cost breakdowns (provider, model, project, feature)
Automated insights (cost concentration, high-growth spend, inefficient usage)
Proactive alerting (budget thresholds, cost spikes, forecast overruns)
30-day forecasting with confidence bands
Optional provider API integration (OpenAI implemented)
Engineering Focus
- →Five core engines: Ingestion, Aggregation, Insight, Alerting, Forecasting
- →Append-only data model for historical integrity
- →Source-agnostic aggregation (metadata or API)
- →Background job processing with BullMQ
- →Deterministic, rule-based insights (explainable and testable)
- →Idempotent operations for alerts and jobs
Tech Stack
Built For
Engineering and finance teams using AI