Ashr — Observability, Prompts & Evals Platform
Observability, Prompts & EvalsLayer 4UnknownFounded 2025|San Francisco, CA|2-10
Visit websiteWhat 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
- ✓Multi-modal synthetic testing
- ✓Voice/text/image simulations
- ✓Pre-production agent stress testing
- ✓Error detection
- ✓Automated test generation
Pros & Cons
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
Ashr Pricing
Free trial available
FreeFree
- ✓Basic testing
- ✓SDK access
PaidContact 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
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Last verified: March 27, 2026