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Surogate

Surogate is an enterprise-grade AgentOps/LLMOps platform that takes AI agents from design to deployment, monitoring and continuous optimization—so teams can ship to production with confidence.
Surogateenterprise AgentOps platformLLMOps lifecycle managementdeploy AI agents at scaleAI observability & evaluationself-hosted AI agent platformmulti-cloud AI deploymentGuardrails & PII redaction

Features of Surogate

End-to-end lifecycle for AI agents—design, deploy, operate and continuously improve
Supports pre-training, full fine-tuning, LoRA/QLoRA and other parameter-efficient methods
Mixed-precision, multi-GPU/multi-node and CPU-offload training configurations
Built-in observability: trace calls, logs and runtime health in one place
Guardrails for toxic-content filtering, PII redaction and policy enforcement
Human-in-the-loop reviews for critical decision points
Self-hosted or on AWS, GCP, Azure, Oracle Cloud—your choice
OSS and Enterprise tiers to match every team’s needs
Ops-ready views: branches, pull requests, datasets and collaboration activity

Use Cases of Surogate

Move AI agents from PoC to production with a single control plane
Track agent quality and debug issues in real time
Enforce content safety and data-privacy rules out of the box
Run efficient LoRA/QLoRA fine-tunes and schedule GPU resources
Coordinate cross-team agent development with dataset & branch workflows
Deploy inside your own infrastructure for strict compliance requirements
Roll out agents across regions on any major cloud and manage them centrally

FAQ about Surogate

QWhat is Surogate?

Surogate is an enterprise AgentOps/LLMOps platform that lets you build, deploy, operate and continuously optimize AI agents.

QWhich problems does Surogate solve?

It tackles the operational hurdles of productionizing AI agents—workflow management, observability, governance and continuous improvement.

QWhat deployment options are available?

You can self-host or run on AWS, GCP, Azure or Oracle Cloud.

QCan I train or fine-tune models inside Surogate?

Yes—pre-training, full fine-tuning and LoRA/QLoRA are all supported with multi-GPU/multi-node setups.

QHow does Surogate handle security and governance?

Guardrails filter harmful output, redact PII and enforce policy prompts to keep agents compliant.

QIs there an open-source or enterprise edition?

We offer both an OSS (free) tier and an Enterprise tier—contact sales for details.

QCan Surogate optimize agents after they go live?

Absolutely. Production telemetry feeds back into the platform for ongoing monitoring and iterative improvement.

QHow should I interpret the throughput numbers shown?

The demo figure of 182k tokens/s is illustrative; actual throughput depends on model size and environment.

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