Free
Free
- Basic testing
- SDK access
Ashr — Observability, Prompts & Evals Platform
Founded 2025|San Francisco, CA|2-10 people|Unknown
What is Ashr?
Ashr is a test and evaluation platform purpose-built for AI agents. Part of YC W2026, it was founded by Shreyas Kaps (Fortune 100 AI agent experience) and Rohan Kulkarni (CTO, ex-Berkeley AI startup exit). Since agents cannot be unit tested like traditional APIs — inputs are unstructured, outputs are probabilistic, and failure modes are creative — Ashr generates synthetic but authentic user stories that flow through your product.
The platform works across voice, text, image, file generation, and multimodal interactions, catching errors that would take hours of manual testing. It includes prompt versioning with inline diffs and pass-rate tracking per version, full test timelines showing every speaker turn, tool call, and response, plus side-by-side comparison of expected vs. actual results.
Teams integrate via SDK and can run evaluations both pre-production and post-production. Users at UC Berkeley and Stanford are already on the platform. Ashr fills the critical gap of systematic, repeatable testing for probabilistic AI systems.
Key features
Core capabilities this platform advertises.
- Multi-modal synthetic testing
- Voice/text/image simulations
- Pre-production agent stress testing
- Error detection
- Automated test generation
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Addresses critical gap in systematic testing for probabilistic AI agents
- Multi-modal coverage across voice, text, image, and file generation is rare
- Free tier lowers adoption barrier for teams evaluating the platform
- Prompt versioning with regression tracking is a strong developer experience feature
- Both founders have prior AI startup experience including a successful exit
Cons
- Very early stage with only 2 people — scaling support uncertain
- Paid pricing tiers not publicly disclosed
- Competes with Braintrust, Arize, and LangSmith expanding into agent testing
- SDK-only integration may limit adoption with non-technical teams
Plans & pricing
What's included in each plan, and how the tiers compare.
Paid
Contact for pricing
- Full multi-modal testing
- Advanced analytics
- Priority support
Common use cases
Teams building multi-modal AI agents
- Agent testing
- Multi-modal QA
- Pre-deployment validation
- Edge case discovery
Using Ashr with Respan
Ashr tests AI agents before deployment while Respan monitors them in production. Together they provide full lifecycle coverage from pre-production testing to production observability.
- Test agent behavior pre-deployment with Ashr and monitor post-deployment with Respan
- Correlate Ashr test results with Respan production metrics
- Use Respan production data to inform Ashr test scenario generation
Best Ashr alternatives & competitors
Top companies in Observability, Prompts & Evals you can use instead of Ashr.
Respan
LLM tracing, evals, and gateway
LangSmith
Trace visualization for LLM chains
Weights & Biases
ML experiment tracking
MLflow
OpenTelemetry-native tracing
Arize AI
ML observability with LLM support
Langfuse
Open-source LLM observability
Helicone
Datadog LLM
LLM monitoring within Datadog platform
Traceloop
OpenTelemetry
Braintrust
Real-time LLM logging and tracing
HoneyHive
Prompt management
Patronus AI
Automated LLM evaluation platform
Promptfoo
Phoenix
OpenTelemetry-based LLM and agent tracing
Portkey
Humanloop
Sentry
DeepEval
Ragas
RAG-specific evaluation framework
LangWatch
Multi-turn agent simulation testing
Galileo AI
LLM output quality evaluation
PromptLayer
Maxim AI
Distributed tracing for LLM and agent apps
Confident AI
DeepEval open-source evaluation framework
Opik
Agenta
Lunary
Future AGI
Multimodal evaluation (text, image, audio, video)
Parea AI
Moda
Hallucination detection
Sentrial
Agent failure root cause analysis
Athina AI
Chamber
ML infrastructure automation
Compare Ashr
Side-by-side comparisons with other tools in this category.
Best integrations for Ashr
Companies from adjacent layers in the AI stack that work well with Ashr.
Last verified: March 27, 2026