25 Signals

AgentEval Regression Monitoring Suite

A SaaS platform that builds evaluation datasets, test harnesses, and automated scoring pipelines for AI agents and models.

Added May 30, 2026

AI Infrastructure

Model Evaluation

Developer Tools

Opportunity score

Medium opportunity (68%)

The Problem

Companies building AI agents and model-powered products struggle to measure performance reliably at scale. They need evaluation datasets, benchmarks, regression tests, and continuous monitoring before changes reach customers, but these systems are costly to build and maintain internally.

Potential Solution

AgentEval provides a managed evaluation layer for AI teams: benchmark creation, dataset versioning, automated test harnesses, scoring pipelines, and regression alerts. Teams can run evaluations continuously against model, prompt, or agent changes and track performance metrics over time.

Why Now?

Multiple companies are hiring specifically for large-scale AI evaluation, benchmarking, monitoring, and agent harness work. As AI agents move into production, evaluation infrastructure is becoming a core operational requirement rather than a research-only function.

Market validation

Search demand

Trend snapshot pending

Competition (0)

No matched competitors yet

Showing 1-20 of 25 signals

Job adsAug 25, 2026

rogo

Data Engineer: Analytics

Analytics evals: design and run the evaluation and testing layer for our agentic analytics surfaces — internal agents that answer thousands of questions a quarter, and the customer-facing analytics our enterprise admins rely on. This is one of the defining problems of doing analytics at an AI company.

Job adsAug 20, 2026

alphabet

Software Engineer III, AI/ML Engineer

Build and maintain automated evaluation frameworks to measure agent performance, accuracy, and safety across different datasets. Rapidly ramp up on existing products, identifying integration points for AI services without disrupting current production stability.

Job adsAug 17, 2026

alphabet

Software Engineer, Science and Strategic Initiatives, DeepMind

Deploy, monitor, and improve AI agents in real-world settings with enterprise customers and academic partners, transitioning direct engagements into a scalable deployment model. Build automated evaluation pipelines that capture real-world agent quality, robustness, and performance beyond lab benchmarks.

Job adsAug 11, 2026

mirendil

Member of Technical Staff, Recursive Self-Improvement (RSI)

Develop evaluation and observability. Build benchmarks, automated evals, and monitoring systems that surface regressions, failure modes, and emergent behaviors in AI systems.

Job adsAug 1, 2026

mongodb

Software Engineer 3

Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them Design evaluation datasets and workflows that compare agent behavior against a baseline and produce actionable quality signals

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