Moda

Moda

The reliability & monitoring layer your AI agents need.

Winter 2026ActiveB2BInfrastructureArtificial IntelligenceSaaSAnalyticsInfrastructureSan Francisco, CA, USA
Moda is the reliability & monitoring layer for agents. It surfaces patterns across agent hallucinations, laziness, forgetfulness, and tool call failures. While also providing analytics on user frustration, net promoter score, retention, and churn rates. In the next 10 years, with more AI agents spawning and trying to get PMF, developing an agent that actually works for users is critical. Everyone has access to the same models, thus the ones that win on a product level will be the ones who learn fastest from real usage. Moda is that learning layer.

Verdict

High Signal
Market Opportunity
Observability/monitoring for AI agents is a real and growing B2B infrastructure market — every company shipping AI agents needs this. ICP is clear: companies with deployed AI agents at scale. As AI agent adoption accelerates in 2026, this is a $1B+ TAM with strong enterprise pull and natural land-and-expand motion.
Medium Signal
Founder Signal
Both founders are University of Waterloo CS students who appear to still be in school or very recently graduated — Mohammed lists internships at Notion (2024), Clio (2025), and Shopify (2025), while Pranav worked at Scotiabank and Shopify as a SWE intern through late 2025. They're technically capable with good internship pedigree, but combined have maybe 1-2 years of non-internship experience. Mohammed was a founding engineer at DeepNewz (6 months, 2023). No prior exits, no senior industry roles.
Low Signal
Competition
LangSmith (LangChain), Langfuse, Arize AI, Weights & Biases, Helicone, and Braintrust all compete in LLM/agent observability. This is a crowded space with well-funded incumbents. Differentiation on 'behavioral failures' and natural language custom signals is meaningful but not yet proven as a durable moat. Big infra players (Datadog, New Relic) could expand here too.
Medium Signal
Product
Docs exist and the website shows detailed product demos with specific failure detection examples (tool misuse, agent forgetfulness, prompt injection, replay testing). Has Sign In suggesting live product, but no named customer logos, pricing, revenue metrics, or testimonials. The 'Book a Demo' CTA and YC backing are the primary social proof signals.
OverallB Tier

Moda is tackling a real and timely problem — AI agent observability — and the product demo shows genuine technical depth with specific failure patterns, replay testing, and security monitoring. However, the founders are effectively strong student-level engineers (impressive internships at Shopify, Notion, Clio) with minimal post-graduation, independent company-building experience. No press, no named customers, no revenue signals. The competitive landscape is genuinely crowded with LangSmith, Langfuse, Arize, and others already established. The core question is whether they can differentiate and land enterprise customers before the incumbents copy their behavioral monitoring features. YC backing helps, but this needs a paying customer proof point urgently.

Active Founders

Mohammed Al-Rasheed
Mohammed Al-Rasheed
Founder

Building Moda

Pranav Bedi
Pranav Bedi
Founder

Building Moda

Moda
Moda
TierB Tier
BatchWinter 2026
Team Size2
StatusActive
LocationSan Francisco, CA, USA