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33 Best Ashr Alternatives & Competitors
The top alternatives to Ashr in the Observability, Prompts & Evals space, compared on features, pricing, and what they're best at.
Updated March 27, 2026
Why look beyond 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.
Common reasons users explore alternatives
- 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
Top alternatives to Ashr
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
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