Ashr
Winter 2026 NewAutomated Multi-Modal Testing for Agents
Ashr 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.
AI Investor Summary
Ashr is building an automated multi-modal testing platform for AI agents, addressing a critical gap in ensuring accuracy and quality for complex user journeys. With a strong technical team from Google and Shopify, they are well-positioned to capitalize on the explosive growth of AI agents by providing a robust solution that catches errors before they impact customers.
Key Highlights
- ● Strong technical pedigree of founders from Google and Shopify.
- ● Addresses a critical and growing pain point in the AI agent development lifecycle.
- ● Innovative approach to automated, multi-modal testing with a focus on authentic user journeys.
Risk Factors
- ● Competition from existing testing platforms and internal QA teams who may build similar solutions.
- ● The ability to scale the generation of 'authentic' user journeys effectively and efficiently.
- ● Dependence on the continued rapid evolution and adoption of AI agents.
Founders
Shreyas Kaps is the co-founder of Ashr, a Y Combinator startup focused on AI-powered hiring. His background appears to be rooted in technology and product development, with a focus on leveraging AI to solve complex business problems. He is a graduate of the University of Waterloo.
Rohan Kulkarni is the co-founder of Ashr, a Y Combinator-backed startup focused on [insert Ashr's core business based on website if available, otherwise state 'AI/ML solutions']. He has a strong background in [mention relevant technical/business areas if discoverable] and has previously contributed to [mention previous company/project if discoverable].
Score Breakdown
Strong technical team with impressive backgrounds from Google and Shopify. University of Waterloo CS is a plus. Shreyas's previous YC experience (though with a different company) is valuable. Rohan's specific domain expertise needs more clarity, but the combined technical depth is evident. [Boost +1: Founder from Google]
Large addressable market in the rapidly growing AI agent space. The need for robust testing and evaluation is becoming critical as AI agents become more complex and integrated into products. Timing is excellent with the explosion of LLM-powered applications. Regulatory tailwinds are likely to emerge as AI quality and safety become paramount.
Product shows promise with its multi-modal testing approach and focus on generating authentic user journeys, which is a key differentiator from one-off testing. The technical differentiation lies in its ability to mimic production environments and catch nuanced errors. Defensibility could be built through proprietary journey generation algorithms and data. UX quality is yet to be fully assessed but the concept is strong.
Early stage with limited public traction data. The positive press coverage and mentions on EveryDev.ai and YCombinator are good indicators of early interest and validation. The SDK launch is a positive step towards adoption. Revenue and user numbers are not yet disclosed, which is typical for this stage but limits a higher score.
News
Ashr launched an SDK in February 2026, a modular testing and evaluation platform for AI agents that mimics production environments and user patterns.
Ashr helps developers ship AI agents with confidence by mimicking production environments and users to catch regressions and fix failures before users find them.
Ashr published a blog post in February 2026 detailing their pivot story and the issues with current AI testing infrastructure.
Ashr is a testing and evaluation platform designed to catch bugs and validate agent response quality by mimicking real user behavior and patterns.
Ashr 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 officially launched its platform in February 2026, focusing on mimicking production environments and users to catch AI agent failures.
Ashr was accepted into Y Combinator's W26 batch in January 2026.
This blog post from Ashr details the development of 'Ash,' a background coding agent designed to autonomously detect and fix issues within AI agent systems.
Ashr was featured in a Y Combinator Launches of the Week roundup as a test and evaluation platform for AI agents.
The Ashr blog features insights on AI agent testing, evaluations, and building reliable AI systems, including a post on building a coding agent to fix AI agents.
Ashr is an autonomous AI recruiter that handles the entire top-of-funnel hiring process, from sourcing and screening to conducting first-round interviews at scale.
Ashr's founders pivoted to providing testing and evaluation as a service because they found existing testing infrastructure to be structurally broken and unable to match the speed of AI development.
Ashr.io received an AEO Site Rank of 49/100, indicating weak AI visibility, with key areas for improvement including the llms.txt file, FAQ sections, and RSS/Atom feed.
Ashr is a testing and evaluation platform designed to catch bugs and validate agent response quality by mimicking real user behavior and patterns.
Ashr's founders pivoted to focus on AI testing infrastructure after struggling with existing solutions for their previous AI-native service.
Ashr is a seed-stage company founded in 2025, offering an evaluation platform for AI agent performance, and has raised $500K in funding.
This article from HUGE Magazine highlights Ashr's mission to address the broken state of AI testing infrastructure.
Ashr 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 provides an SDK to integrate automated multi-modal testing for AI agents, aiming to catch regressions and fix failures before users do.
Quick Info
- Batch
- Winter 2026
- Team Size
- 2
- Location
- Unspecified
- Founders
- 2
- Scraped
- 4/10/2026