AI Gateway & FinOps Intelligence
for Engineering, Platform, and Finance
We started Cloptima because we were tired of cost tools that show you the problem but don't help you fix it. As AI and cloud bills started to be shaped by the same architecture, model, and query decisions engineers make every day, we set out to build the intelligence platform we wished existed — one that connects spend to its real causes and acts where teams already work.
Our Mission
Make AI and cloud spend understandable and controllable. Not through more dashboards, but through intelligence that understands your model usage and infrastructure, governs access before spend happens, predicts the cost of your changes, and delivers answers where your engineers already work.
What We Believe
Intelligence Over Dashboards
We build AI that thinks about your costs, not more charts for you to interpret. Every feature should make engineers smarter about costs, not busier.
Depth Over Breadth
Deep, request-path governance with frontier model providers and hyperscale clouds, rather than shallow surface-level wrappers.
Developer-First
Cost optimization should happen where engineers work — GitHub PRs, terminals, Slack, AI agents. Not in a separate FinOps portal.
Trust Through Transparency
Read-only access, transparent pricing, open about what we can and can't do. We earn trust by being honest.
High-Performance Governance
Legacy enterprise tools are bloated, slow, and opaque. We build high-performance, developer-first governance for modern AI engineering and platform teams.
Open Ecosystem
MCP server, CLI, REST API. Your cost data should be accessible everywhere — not locked in our dashboard.
What Makes Us Different
We build developer-first, request-path governance that bridges AI engineering decisions and cloud infrastructure spend:
Universal AI Gateway
Sub-millisecond OpenAI-compatible proxy with request-path guardrails, virtual keys, and BYOK credential encryption.
Adaptive Routing & Caching
Dynamic model routing by latency and cost, paired with sub-millisecond local vector semantic response caching.
LLM FinOps Control Plane
Reconciliation-ready attribution across models, apps, and tokens with real-time budget enforcement.
Developer-Native MCP & CLI
Official Model Context Protocol endpoint and scriptable CLI with PAT auth for local and CI automation.
PR Cost Impact in CI
Automated GitHub comments predicting the cost impact of workload and manifest changes before merging.
Data Warehouse Optimization
Automated partition, clustering, and slot optimization recommendations for BigQuery and Snowflake workloads.
Join Us on the Mission
Bring LLM FinOps, governed model access, and cloud cost optimization into one operating model.