Launch, validate, and iterate models, agents, and workflows in a production-grade environment powered by frIdA, secure, private, and ready for real deployment.
Test and optimize AI workloads with real infrastructure and full control.
Unlike hosted playgrounds or generic sandboxes, Saptiva Lab runs on real infrastructure, with the same orchestration, isolation, and compliance guarantees as your full deployment. Run evaluations with your own data, simulate complex workflows, compare model behavior, and prepare agents for production — all without exposing sensitive assets or compromising on security.
Saptiva Lab lets you test models, agents, and pipelines in conditions that match production — using your own data, full observability, and infrastructure you control.
Launch Saptiva Lab
Compare open and proprietary models like LLaMA, Mistral, Claude, or DeepSeek using real metrics, latency, accuracy, and cost.
Simulate multi-step reasoning, data retrieval, and document interaction with agents running inside your environment.
Run private inference without exposing inputs or outputs to external systems.
Tune vector stores, scoring strategies, and retrieval performance under real-world constraints.
Use real infrastructure with no commitment, no data exit, and full transparency.
Saptiva Lab gives your technical team a fully isolated and secure environment to build, test, and deploy, with real-time observability, fine-grained access controls, and full developer tooling out of the box.
Each Lab instance runs in a private environment, cloud, on-prem, or air-gapped.
Monitor latency, cost, and behavior with built-in logs, traces, and metrics.
Use CLI, SDKs, and APIs to orchestrate models, agents, and workflows, no black boxes.
© 2025 Saptiva, INC. All rights reserved.
