Routes every workload. Logs every decision.
frIdA sits between every AI application and every compute environment. It decides where workloads run, logs every decision, and meters every cost - under your control, in your audit trail.
Any LLM. Any version.
Cloud, hybrid, on-prem, air-gapped.
Residency, cost, latency.
Every decision, logged, defensible.
Every enterprise that puts AI in production hits the same three questions inside a year: where is it running, what did it decide, what did it cost. frIdA answers all three on every run.
frIdA reads every workload's metadata - data classification, customer jurisdiction, SLA, cost envelope - and routes it to the compute environment that satisfies every constraint. Public cloud for cost-optimized batch, on-prem for sensitive data, air-gapped for isolated workloads. The operator sets the placement per data class. frIdA applies it on every run.
frIdA selects the optimal model for each task: open-source for sensitive data, commercial frontier models for low-risk general tasks, domain-specific fine-tunes for enterprise workflows. Model choice becomes a configuration, not a rewrite. When a new model releases, frIdA can adopt it without touching application code.
Every decision frIdA makes is recorded: which workload, which configuration, which model, which environment, with what metadata, at what timestamp, authorized by whom. The audit log is immutable, queryable, and exportable. When audit asks, you have a defensible answer in seconds. Not a week of forensics.
Customers change deployment strategies without rewriting applications. Migrate from public cloud to an in-country region. Add an on-prem cluster. Extend to a new country with different residency rules. The application code does not change. frIdA re-plans the route.
Applications emit requests with metadata. frIdA applies your configuration, selects compute and model, dispatches the workload, and writes an audit record. Every step defensible.
frIdA does not ship with a preferred model, cloud, or hardware stack. It routes across all of them. The compatibility matrix exists to make that explicit, not to sell you a particular option.
Each serves one buyer. Serving all four breaks their model.
THE REAL SUBSTITUTE IS THE DEFAULT: THE CLOUD'S OWN AI, THE INTEGRATOR'S HOURS, THE INTERNAL BUILD.
95% OF PILOTS NEVER REACH THE P&L · MIT
The control plane itself. Nothing else to protect. Four yeses, one contract, two weeks.
Gaps close. Conflicts do not.
The full wall →“MultiMoney put its stalled pilots into production on frIdA. What blocked them was never the model. It was the layer that decides where it runs and proves what it did.”
The workloads hyperscalers can't run. The workflow your integrator quoted in quarters. The pilot that stalled in procurement. A Forward Deployed Engineer will respond within 48 hours.