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Ashr - AI Orchestration and MLOps Tool

AI Orchestration and MLOps · Founded by Shreyas Kaps in 2025

Ashr

Ashr

Automated Multi-Modal Testing for Agents

Cost

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Ashr to create synthetic test data for your AI agents before and after deployment. The tool generates custom test scenarios with realistic conversations between customers and AI agents, complete with audio, images, and file exchanges. You can track test results, catch bugs early, version control your prompts, and monitor agent performance through detailed analytics. It helps developers ship AI agents with confidence by identifying failures before users encounter them.

What Ashr does

Generate synthetic customer service conversationsCreate test datasets with audio and image inputsRun automated evaluations on AI agent responsesTrack agent performance metrics over timeVersion control prompts and monitor changesCompare test results across different scenariosIdentify failure points in agent workflowsGenerate reports on agent test coverageCreates realistic multi-modal test scenarios with audio and imagesAutomatically generates customer-agent conversation flowsTracks test results with pass/fail indicatorsVersions prompts with inline diffs and performance trackingProvides detailed test timelines showing every interactionCompares expected versus actual agent responsesMonitors agent performance across multiple datasetsIntegrates with existing development workflows via SDK

Tutorials & Demos

Frequently asked

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Ashr, AI testing, synthetic data, test automation, AI agents, machine learning testing, prompt versioning, regression testing, agent evaluation, MLOps, AI quality assurance, synthetic test cases, conversational AI testing, agent performance monitoring, pre-production testing