Ashr
Automated Multi-Modal Testing for Agents
Winter 2026ActiveB2BEngineering, Product and DesignArtificial IntelligenceDeveloper ToolsSaaSData EngineeringDevOpsSan Francisco, CA, USA
Company
https://ashr.ioAshr is a fully contained test and evals platform that improves AI agents by ensuring accuracy and quality across a wide range of user journeys through your product.
Ashr generates user journeys through your agents’ tool calls, results, and questions. We don’t generate one off tests, we generate large amounts of authentic user stories through your product, and pick up on errors, inconsistencies, and failures that would otherwise take hours of manual testing or get caught by a customer. We also work to ensure agent response quality in line with your business goals by offering custom evaluation metrics.
Ashr works with voice, text, automated website generation, image, file generation, and multimodal. We’re also willing to generate custom input types or make modifications for anyone interested. Currently, we integrate as an SDK, and are proactively working to make our documentation and resources as accessible and easy to use as possible.
Verdict
High Signal
Market Opportunity
AI agent testing/evals is a real and growing B2B market as enterprise agent deployments accelerate — every company shipping agents needs this infrastructure. ICP is clear: engineering teams building AI agents. Monetization path via SDK/platform subscription is standard and defensible. TAM expands with every new agent deployment.
Medium Signal
Founder Signal
Rohan has a prior exit (Geri AI, acquired) — a genuine positive signal showing ability to build and close. Shreyas has 3-4 month internships at Tessera Labs and Opsera working on AI agents, relevant domain experience for the product. Both are current UC Berkeley undergrads (Shreyas class of 2028, Rohan class of 2027). The prior acquisition is a meaningful differentiator, though neither has shipped a production B2B product at scale.
Low Signal
Competition
The agent evals space is getting crowded fast — Braintrust, LangSmith (LangChain), Arize AI, Confident AI, and PromptFoo all operate in overlapping territory. Major platforms like LangChain and LlamaIndex are building native eval tooling. Ashr's differentiation (multimodal, user journey generation vs. one-off tests) is real but unproven at scale, and well-funded competitors have significant head starts.
Medium Signal
Product
Website shows a live demo with detailed multimodal testing scenarios (voice, image, file, chat), pass/fail test results, and SDK integration. They list a few customer logos (Human Behavior, Pax Historia, SkillSync) but no named testimonials, pricing page, or revenue metrics. Just launched per the website banner, so traction is early but product appears functional.
OverallC Tier
Ashr is addressing a genuine problem — agent evals are broken and every serious AI team needs this. The product is live with named customers and a coherent multimodal differentiation story, and Rohan's prior acquisition is a real positive signal on execution. Both founders are Berkeley undergrads with limited professional track records outside of that exit. The competitive landscape is well-funded: Braintrust, LangSmith, and Arize are all established. The market timing is right, the product exists, and there is early customer evidence — C tier reflects real potential constrained by team experience relative to incumbents.
Active Founders
Ashr
TierC Tier
BatchWinter 2026
Team Size2
StatusActive
LocationSan Francisco, CA, USA
Last Updated4 days ago