Managed AI infrastructure for early-stage ventures.
From pre-training to production inference, we manage the stack. Our evaluation layer validates end-to-end agentic performance, while integrated hardware, facilities, and operations bring down the cost.
Performance validated against your agreed evaluation criteria.
The Fortuna evaluation layer
Selected hardware vendors
SupermicroGIGABYTEOur team has supported NYU’s AI infrastructure needs.
Two workloads. One accountable infrastructure team.
We select the hardware and facility around your workload, then coordinate deployment, operations, and performance evaluation.
Pre-training
Plan the cluster, fabric, and storage together. Monitor training progress and hardware health, capture checkpoints, and define tested recovery procedures when workers fail.
Inference
Run your models and agents on dedicated infrastructure. Validate accepted-task quality and peak-load latency, then optimize serving cost with an explicit overflow and recovery plan.
Not just a faster model. An agent that completes the right task, at the right quality, latency, and cost.
Our evaluation layer makes that outcome the standard for every infrastructure decision.
Agree on the workload, success criteria, and operating limits before committing to infrastructure.
Evaluate the model, tools, orchestration, and compute together, on the tasks your agents actually do.
Compare architectures that meet your performance standard. Choose for cost per successful outcome.
Validate at deployment, monitor for drift, and re-evaluate changes against the same acceptance criteria.
Fortuna evaluates agentic performance against agreed metrics, workloads, environments, and operating assumptions. Results apply to the tested configuration and are not a guarantee of future performance.
We bring selected hardware vendors and suitable data-center resources into one operating plan—from the agent to the facility.
What we optimize forModel selection, tools, orchestration, memory, and evaluation. Designed around the workload.
GPU sourcing, financing, colocation, power, and cooling. Planned for total lifecycle cost.
Cluster fabric, connectivity, logistics, installation, and commissioning. Coordinated end to end.
Monitoring, maintenance, evaluation, and capacity planning. Accountable beyond launch.
A cheaper GPU-hour isn’t enough. We optimize the entire cost of delivering a successful agentic outcome, while preserving the capability your business depends on.
Compare Kimi K3 on B300 with Kimi, GPT, and Claude APIsCost per successful outcome
Hardware, models, power, facilities, and operations—all measured against useful results.
Choose the commercial structure around your runway and workload—not the other way around.
