Don't Let Your AI
Bankrupt You.
Autonomous agents can burn through your monthly budget in minutes. We provide the "Cost Police" to stop them before it happens.
The Infinite Loop Trap
The Nightmare: You deploy an autonomous agent to "research the web". It gets stuck in a loop, refreshing the same page 10,000 times, calling GPT-4 on every loop.
You wake up to a $50,000 OpenAI bill. This isn't theoretical; we see it happen to "vibe coding" projects every week.
Without Sovereign Control, your credit card is at the mercy of non-deterministic software.
Where the Money Goes:
- $Unchecked 'While True' agent loops
- $Redundant RAG vector retrieval calls
- $Using expensive models (GPT-4) for simple tasks
- $Stored data bloat in cloud buckets
- $Zombie instances left running after hours
Review Saved from Bankruptcy
The Challenge: A marketing agency built a cool "Semantic Search" tool for their clients. It worked great until a bug caused it to re-index the entire database on every user query. They burned $20,000 in OpenAI credits in a single weekend.
The Jini Solution: We audited their infrastructure and implemented a "Sovereign Cost Control" layer with hard limits and semantic caching. The tool now costs $500/month to run, with zero risk of infinite loop billing.
Sovereign Cost Control
We install the "Security Guards" for your infrastructure.
We implement middleware that acts as a "Cost Police", killing any agent process that exceeds a defined token or dollar threshold instantly.
Don't use a cannon to kill a mosquito. We route simple queries to cheaper, faster models (like Haiku or Llama 3) and save the heavy lifting for the expensive ones.
We audit your cloud footprint, shutting down zombie services and moving compatible workloads to Spot Instances for 70% savings.