Moda
Moda builds a continual learning and observability layer for AI agents.
On the record
Checkpoint: Whether Moda converts its 30 design partners into paying, expanding accounts before rivals ship free matching features
The call
Moda has real usage data and design partners, but every layer above it, from Salesforce to LangChain to Anthropic, is now building or giving away the same thing for free.
Moda builds tools that watch how AI applications perform and help engineers fix problems. The challenge is that Salesforce, Datadog, and LangChain are all shipping their own versions and have no reason not to, they own the customer relationships already. Moda's data about how different companies use AI cannot be shared across customers to build a learning advantage, so it only gets smarter for each company in isolation. What matters most in the next few months: whether Moda can turn its 30 partner companies into loyal paying customers who stick around and spend more, or whether those partners just wait for Datadog or LangChain to add the same features for free.
Why
01
AI pressure: LangSmith Insights Agent and native tracing/eval features from Anthropic and OpenAI. Frontier labs and LangChain are building fix-validation and tracing straight into their own stacks, cutting the need for a separate layer. Could AI do the core job? Yes, likely.
02
Bigger players: Salesforce Agentforce Observability, Datadog, Cisco/Splunk (Galileo). Salesforce made Agentforce Observability free for all customers on July 22, 2026, and Cisco folded Galileo into Splunk in May 2026. Could a giant copy it? Yes, easily.
03
What protects it. 30 design partners and 50M+ real agent conversations give Moda failure data that generic platforms have not yet matched.
What would change this call
Moda announces a seed or Series A round by late 2026. Shows whether investors still see a defensible position despite free incumbent tools.
Datadog, Braintrust, or Arize ship free continual learning or fix validation features. Would remove Moda's main differentiation from free platform tooling.
Any of Moda's 30 design partners publicly named as paying, expanding customers by Q4 2026. Would show real retention rather than free pilot usage.
Datadog, Braintrust, or Arize ship free continual learning or fix validation features. Would remove Moda's main differentiation from free platform tooling.
Any of Moda's 30 design partners publicly named as paying, expanding customers by Q4 2026. Would show real retention rather than free pilot usage.
Key numbers
- 50M+ conversations processed across 30+ companies
- Salesforce made Agentforce Observability free for all users
- Cisco/Splunk closed its acquisition of Galileo
Named risks
- Core observability features being commoditized for free by platform incumbents like Salesforce.
- Per-customer siloed trace data provides no proven cross-tenant compounding moat.
- No disclosed funding round despite being roughly six months post-YC batch as of mid-2026.
- Repeated repositioning (monitoring to continual learning) within months signals unresolved product-market fit.
- Multiple near-identical YC-funded peers (Lemma, Hivemind) targeting same continual-learning niche.
Rivals, as read in July 2026
| Rival | Direction | Evidence |
|---|---|---|
| Salesforce (Agentforce Observability) | losing to | Made observability free and unmetered for Agentforce customers on 2026-07-22 |
| Cisco/Splunk (via Galileo acquisition) | losing to | Acquisition closed 2026-05-22, folded rival platform into Splunk Observability |
| LangSmith (LangChain) | contesting | Shipped native Insights Agent tracing/eval feature in January 2026 |
| Lemma (YC F25) | contesting | Launched as Continuous Learning for AI Agents, near-identical positioning, 2025-11-05 |
| Hivemind (YC S26) | contesting | Launched Continual Learning for Coding Agents, 2026-06-08, narrower scope |
| Datadog LLM Observability | losing to | Broader incumbent platform expanding into same agent observability space in 2026 |
Questions people ask
- Is Moda profitable in 2026?
- No revenue or profitability figures have been disclosed. Moda is a YC W26 startup with no public pricing, no named enterprise customers, and only a founder-claimed metric of 50M+ conversations across 30+ companies as of July 22, 2026, per co-founder Mohammad Al-Rasheed.
- Could AI replace Moda's product?
- Partly: Moda's diagnose-fix-validate loop for AI agents is exactly the capability Salesforce, Datadog, Cisco/Splunk (via Galileo, acquired May 22, 2026) and LangSmith (Insights Agent, January 2026) are building natively into their own platforms, often for free.
- Who is Moda's biggest competitor?
- Salesforce's Agentforce Observability, made free and unmetered for all Agentforce customers on July 22, 2026, poses the largest threat, alongside LangSmith, Datadog, and Cisco/Splunk after its Galileo acquisition closed May 22, 2026.
- Who owns Moda?
- Moda is privately held and founder-owned, co-founded by CEO Pranav Bedi and CTO Mohammad Al-Rasheed, both University of Waterloo dropouts, incubated through Y Combinator's Winter 2026 batch as of March 3, 2026.
- Has Moda raised venture funding?
- No priced seed or Series A round, investor names, or valuation have been publicly disclosed for Moda as of July 2026, beyond its participation in Y Combinator's Winter 2026 batch, which implies a standard YC investment.
- What does Moda actually do?
- Moda ingests production AI agent traces, diagnoses failures across prompts, tools, workflows, memory, or retrieval, and generates and validates fixes before shipping them back into the agent, marketed since mid-2026 as a continual learning layer.
Timeline
- 2026-07-22Salesforce makes Agentforce Observability free and unmetered for all Agentforce customers
- 2026-07-22News feature cites Moda processing 50M+ conversations across 30+ companies (founder claim)
- 2026-07-20Peer Helicone reportedly enters maintenance mode after acquisition by Mintlify
- 2026-06-30Moda co-founders reposition company as continual learning layer for AI agents in interview
- 2026-06-08YC peer Hivemind launches Continual Learning for Coding Agents
- 2026-05-26Moda docs frame product as observability for AI agents with intent-clustering
- 2026-05-22Cisco closes acquisition of Galileo, folding it into Splunk Observability
- 2026-03-03Moda publicly launches on Y Combinator Launch as Monitoring and Reliability for Agents
- 2026-01-01LangSmith ships Insights Agent with native tracing and eval capabilities
- 2025-11-05YC peer Lemma launches as Continuous Learning for AI Agents, direct positioning overlap
Revision history
27 July 2026
First assessed. Losing its protection. The text above is fixed as of this date and is not edited afterwards.
In the same band
Sources
- Understanding AI agent behavior is the next major tech challenge (2026-07-22)
- Launch YC: Moda: Monitoring and Reliability for Agents (2026-03-03)
- When AI Agents Fail Silently: A Conversation with Moda's Co-Founders Pranav Bedi and Mohammed Al-Rasheed (2026-06-30)
- Your Agents Are Getting More Capable. Is Your Observability Tooling Keeping Up? (2026-07-22)
- 7 Best AI Agent Observability Tools for Coding Teams in 2026 (2026-06-23)
- 6 Tracing + Eval Platforms (2026-04-08)
- Launch YC: Lemma: Continuous Learning for AI Agents (2025-11-05)
- Launch YC: Hivemind: Continual Learning for Coding Agents (2026-06-08)
- The Context Company: Monitor AI agents and understand user behavior
- LLM Observability Tools Compared (2026) (2026-07-20)
- Welcome to Moda (2026-05-26)