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Pavo AI

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Pavo is an enterprise AI improvement platform that analyzes production systems and agents, discovers performance gaps, builds evaluation benchmarks, and helps teams test and ship changes that improve business metrics.

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OVERVIEW

What is Pavo AI?

Pavo is an AI infrastructure and applied-science platform for continuously improving production AI systems. Rather than being an AI assistant for end users, it works behind the scenes with engineering and product teams to understand how their production systems perform and identify opportunities for measurable improvement.

The platform connects to a company’s code, data, experiments, traces, dashboards and other sources of production knowledge. Pavo then builds a benchmarked understanding of how the system works, including its objectives, constraints, metrics, policies and historical decisions. Its System Book is designed to preserve this knowledge and make it usable by both people and AI agents.

Pavo also provides an offline evaluation and benchmarking layer. It can mine production traces to identify important cases, create golden datasets and develop calibrated evaluation judges. Teams can use these benchmarks to determine whether an agent or system change is likely to improve real-world outcomes before releasing it to users.

The platform’s broader goal is to create a continual improvement loop: identify a problem, investigate possible solutions, evaluate them, run controlled experiments and ultimately ship the strongest intervention. Pavo describes this as an “applied science factory” and targets teams responsible for metrics such as search relevance, recommendations, personalization, pricing, notifications and agent performance.

Key features

  • Production System Intelligence: Pavo analyzes code, data, experiments and production knowledge to build a structured understanding of how a system works.
  • Gap Discovery: The platform automatically identifies recurring failures, capability gaps, policy violations and underperforming areas in production AI systems.
  • AI Evaluation: Pavo creates production-grounded benchmarks and evaluation judges to measure whether AI systems are actually improving.
  • Applied Science Agents: Multiple agents can explore different hypotheses and approaches in parallel before selecting promising solutions for offline validation.
  • Intervention Testing: Pavo can develop and test changes involving retrieval, ranking, personalization, pricing, recommendations and other decision systems.
  • System Book: Its knowledge system continuously consolidates verified facts, experiments, decisions and playbooks into a shared production knowledge base.
  • Production Deployment: Validated improvements can be taken through the development workflow, including generating pull requests for engineering approval.

How you can use it

AI agent evaluation: Companies can use Pavo to evaluate customer-service and other production agents against real-world cases rather than relying solely on synthetic test sets. It can mine production traces, identify important scenarios and create benchmarks that remain aligned with actual business outcomes.

Improving search and recommendations: Pavo can investigate search relevance, retrieval, reranking and recommendation quality. It can identify where a production system is failing, propose possible interventions and evaluate them before exposing changes to live users.

Personalization and growth optimization: Product teams can use Pavo to improve recommendation systems, notifications, pricing, promotions and other decision systems. The platform is designed to connect technical interventions with measurable business metrics rather than simply generating suggestions.

Enterprise AI improvement: Large organizations can use Pavo as an ongoing improvement layer for production AI systems. Its system knowledge, evaluation infrastructure and agent teams are designed to let engineering and product teams repeatedly identify opportunities, validate solutions and ship improvements.

The strengths & trade-offs

Pros

  • Designed specifically for production AI and ML systems.
  • Connects evaluation to real business metrics.
  • Builds benchmarks from real production traces.
  • Combines system knowledge, evaluation and improvement workflows.
  • Supports multiple AI/ML use cases including agents, search, recommendations and personalization.
  • Can work with existing agent traces without requiring teams to migrate their application stack.

Cons

  • Primarily designed for enterprise engineering and product teams.
  • Pricing is not publicly transparent.
  • Requires access to meaningful production data and system context to provide its full value.
  • More complex than conventional AI evaluation tools.
  • The platform's autonomous improvement capabilities require appropriate human review before production deployment.

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Frequently asked questions

What is Pavo?

Pavo is an enterprise platform for continuously evaluating and improving production AI and machine-learning systems.

What does Pavo do?

It finds performance gaps, creates production-grounded evaluations, explores potential improvements and helps teams validate and ship interventions.

Is Pavo an AI agent?

Pavo is not primarily a single end-user AI agent; it uses teams of agents and applied-science workflows to improve production systems.

Can Pavo evaluate AI agents?

Yes. Pavo provides production-grounded agent evaluation, benchmarks, calibrated judges and release verdicts.

Does Pavo work with existing AI agents?

Yes. Pavo says teams can connect existing agent traces without migrating their stack or re-instrumenting the application.

What types of systems can Pavo improve?

Pavo targets systems including search, recommendations, personalization, pricing, notifications, advertising and agentic systems.

Does Pavo offer public pricing?

No. Pricing is based on factors such as trace volume, evaluation volume, benchmark complexity and deployment requirements.

Does Pavo provide an API?

Pavo provides integrations and platform capabilities for connecting production systems, data sources and AI agents, although a public standalone API pricing page is not confirmed.

Is Pavo open source?

No. Pavo is a proprietary enterprise platform.