Predict failures before execution
Surface likely failure modes before a workload or agent begins consuming compute and tokens.
Brillana Intelligence Layer
The Intelligence Layer for Enterprise AI
Brillana Preflight predicts AI execution failures, cost overruns, and reliability risks before workloads and agents run.
Problem
AI execution is still too unpredictable.
Companies are spending more on AI workloads and agents, but execution is still unpredictable. Jobs fail after resources are committed. Agents exceed token budgets. Infrastructure issues are discovered too late.
Product
Brillana Preflight analyzes AI workloads and agent workflows before execution.
Estimate cost and runtime
Give teams a practical view of expected cost and duration before resources are committed.
Identify reliability risks
Flag reliability, permission, quota, and token-budget risks while there is still time to adjust.
Why Now
Production AI needs a prediction layer before execution.
AI is moving from experiments to production workflows. As execution becomes more expensive and autonomous, teams need a prediction layer before execution.
Design Partner Program
Built with teams running real AI workloads.
We are working with AI platform, ML infrastructure, and GenAI teams that run expensive AI workloads or agent workflows.
Ideal design partners
- Runs AI jobs, agents, batch inference, evals, or training workflows
- Has experienced failed runs, runaway token usage, or unexpected compute costs
- Wants early access to Brillana Preflight
- Willing to provide feedback on real workflow pain points
Research / Contact
Help shape Brillana Preflight
Share where AI execution breaks down in your environment. The form is prepared for future integration and currently routes interest through email.
Email: hello@brillana.ai