HomeCompaniesModa
Moda

The reliability & monitoring layer your AI agents need.

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.
Active Founders
Mohammed Al-Rasheed
Mohammed Al-Rasheed
Founder
Building Moda
Pranav Bedi
Pranav Bedi
Founder
Building Moda
Company Launches
Moda: Monitoring and Reliability for Agents.
See original launch post

We’re Mohammad and Pranav (Moda, W26). We built monitoring & reliability for AI agents.

uploaded image

In production, AI agents fail silently all the time: tool calls that error or time out, agents that claim they “did it” without actually doing it, prompt injections that cause data leakage, and long customer chats that hide the real issue. Most teams only find out after users complain, churn, or something breaks.

https://youtu.be/aKPDhL_AE4E

The problem:

When an agent fails, the “bug” is rarely one line of code. It might be a flaky tool, a prompt regression, a bad retrieval result, or a jailbreak attempt.

But most teams still debug agents by skimming transcripts, grepping logs, and hoping they notice the real issue. Previous tools were built for clicks, not for long, messy conversations with skills, MCP’s and tools.

As agents get more autonomous, this gets worse. Small changes in prompts, tools, or integrations can cause big reliability and security problems at scale.

What we built:

Moda is monitoring & reliability for AI agents. It turns conversations and tool traces into low-noise, actionable signals.

Trace-first drilldowns: click from a metric or alert straight into the exact messages and tool calls that caused it.

uploaded image

Conversation segmentation: automatically splits long chats into topic segments so you can debug the right unit of work.

uploaded image

Failure detection: flags tool-call errors, timeouts, and “claimed it worked” runs.

uploaded image

Quality & safety signals: highlights hallucinations, user frustration, and prompt injection attempts.

uploaded image


Regression tracking: measure the impact of prompt and harness changes, and catch regressions before customers do.

Want to see Moda on your agent in production? Book a quick call: https://usemoda.ai

About Us:

Mohammad built AI agents and infrastructure at Shopify, Notion, and Clio, shipping systems that scaled agents to real users.

Pranav built data infrastructure at banks and insurance firms before diving into building AI agents at Shopify and Cerebral Valley

We both dropped out of University of Waterloo to solve what we believe to be the biggest problem in the next 10 years, AI systems are unreliable, Moda is going to solve that.

Visit us at https://usemoda.ai | pranav@modaflows.com

Moda
Founded:2025
Batch:Winter 2026
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Ankit Gupta