AI-native Datadog + Amplitude
Prism has raised $5.5M across 3 funding rounds.
Key people at Prism.
Prism was founded in 2025 by Rajit Khanna (Founder) and Land Tantichot (Founder) and Alex Liu (Founder).
Prism has raised $5.5M in total across 3 funding rounds.
Key people at Prism.
Prism was founded in 2025 by Rajit Khanna (Founder) and Land Tantichot (Founder) and Alex Liu (Founder).
Prism has raised $5.5M in total across 3 funding rounds.
Prism's investors include Bitcoin Frontier Fund, White Star Capital, Prefix Capital, TSVC Capital, Grace Stanat.
Prism is an AI-native startup founded in 2025 that combines the observability strengths of Datadog with the product analytics capabilities of Amplitude, delivering a unique AI-powered solution for developers. Its core product uses advanced vision models to analyze session replay data and automatically identify user experience issues and friction points without requiring traditional event tracking. This enables developers to quickly understand what is broken, who is affected, and how to fix it from day one. Prism primarily serves software development teams aiming to improve user onboarding and product experience by providing actionable insights faster and more flexibly than existing analytics tools[1][2].
Prism was founded in 2025 by Rajit Khanna, Alex Liu, and Land Tantichot in San Francisco. The idea emerged from Rajit Khanna’s previous experience where a new onboarding flow was built and instrumented, but the team only realized it was broken four months later due to inflexible analytics tools. This delay inspired the founders to create Prism, which leverages AI to watch session replays and provide immediate, automated insights into user pain points. The startup began with a small team of three and quickly positioned itself as a cutting-edge AI solution in product analytics and observability[1][2][7].
Prism rides the growing trend of AI-powered observability and product analytics, addressing the increasing complexity of software user experiences and the limitations of traditional event-based tracking. As companies demand faster, more accurate insights into user behavior and product issues, Prism’s AI-driven session replay analysis offers a timely solution. This aligns with broader market forces favoring automation, real-time monitoring, and customer-centric product development. Prism’s innovation complements and extends the capabilities of established players like Datadog by focusing on user experience analytics through AI, influencing how startups and enterprises approach product quality and user engagement[1][3][4].
Looking ahead, Prism is well-positioned to capitalize on the rising demand for AI-native tools that reduce developer overhead and improve product reliability. As AI models and vision technologies advance, Prism’s ability to deliver deeper, more precise insights will likely grow, potentially expanding its customer base beyond early adopters to larger enterprises. The startup’s success will depend on scaling its technology, broadening integrations, and demonstrating clear ROI in reducing time-to-fix and improving user satisfaction. Prism’s approach could redefine product analytics by making user experience monitoring more intuitive and automated, setting new standards in the AI-driven observability space[1][2][4].
Prism has raised $5.5M across 3 funding rounds. Most recently, it raised $500K Seed in June 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2025 | $500K Seed | Bitcoin Frontier Fund, White Star Capital | |
| Feb 1, 2015 | $2.0M Venture Round | Prefix Capital, TSVC Capital, Grace Stanat | |
| Sep 1, 2012 | $3.0M Series A |
