Clam
Winter 2026 NewSelf-fixing automations for fast-moving startups built on OpenClaw
Every startup founder wants to 10x their non-technical teams with AI, but they do not have time to decide what to automate, build the workflows, and fix them when they break. Clam is an AI integration engineer for startup employees. Our desktop app uses local models to analyze work already on your computer, identify repetitive tasks, generate the workflow in code, and run it in the cloud. No more drag and drop. When software changes cause workflows to fail, Clam repairs them automatically using our secure implementation of OpenClaw. It can write tests, run experiments, update the automation scripts, and even text you for more information. Startups want to focus on the outcome of the automation, not the automation itself. We give each use case a dynamic UI that lets you visualize the output in the best way possible for you. How are we keeping our OpenClaw secure? Our system runs a series of scans at the network level to scrutinize every piece of data leaving and entering your system. Each message is scanned for personal info leaks, prompt injection attempts, and malicious code, and custom policies.
AI Investor Summary
Clam is building an AI integration engineer for startups, enabling non-technical teams to automate repetitive tasks without manual setup or maintenance. Their desktop app uses local models to analyze existing work, generate code-based workflows, and automatically repair them when software changes break them. Led by experienced engineers from Meta and Google, Clam targets the growing need for accessible AI automation in fast-moving companies.
Key Highlights
- ● Strong technical founders from top-tier tech companies (Meta, Google) and IIT Bombay.
- ● Addresses a clear and growing pain point for startups in leveraging AI automation.
- ● Innovative approach with 'self-fixing' automations and local model analysis.
- ● Accepted into Y Combinator Winter 2026 cohort.
Risk Factors
- ● Execution risk in building a robust and truly 'self-fixing' system that can handle the complexity of software changes.
- ● Competition from established automation platforms and emerging AI-native solutions.
- ● Scalability of local model deployment and management for a broad user base.
- ● Need to demonstrate clear revenue generation and user adoption beyond early validation.
Founders
Anshul Paul is the co-founder of Clam, a Y Combinator startup focused on simplifying software development workflows. His background includes significant experience in engineering and product development, with a focus on building scalable and efficient technical solutions. Prior to Clam, he held engineering roles at prominent tech companies, contributing to product innovation and growth.
Vaibhav Agrawal is the co-founder of Clam, a Y Combinator startup focused on improving developer productivity. His background likely includes significant experience in software development and product management, given Clam's mission. He is a graduate of IIT Bombay.
Score Breakdown
Strong technical team with excellent pedigree from Meta, Google, and IIT Bombay. Anshul's experience at Meta and Google, coupled with Vaibhav's IIT Bombay background, suggests deep technical capabilities and a strong understanding of building scalable software. Founder-market fit is implied by their focus on developer productivity and workflow automation. [Boost +1: Founder from Google]
Large addressable market in the growing need for AI-driven automation within fast-moving startups. The pain point of non-technical teams struggling to leverage AI due to complexity and maintenance is significant. The timing is opportune with the rapid advancement and adoption of AI. Competitive landscape is emerging but Clam's approach of self-fixing automations offers differentiation.
Product shows promise with its AI integration engineer concept, aiming to democratize automation. The use of local models for analysis is a good technical differentiation, potentially addressing data privacy concerns. The self-fixing aspect is a key defensible moat if executed well. UX quality is yet to be fully assessed but the concept of a desktop app is user-friendly. Platform potential exists if it can integrate with a wide range of tools.
Early stage with limited public traction data. Being part of Y Combinator Winter 2026 is a positive signal of investor interest and validation. Mentions in tech news are positive but do not indicate significant revenue or user growth yet. Need to see more concrete metrics on user adoption and revenue generation.
News
Clam is highlighted as a Y Combinator Winter 2026 startup offering enterprise-grade security for broad-access AI agents like OpenClaw.
An event hosted by Clam (YC W26) aimed at HBS founders, focusing on securely deploying OpenClaw, exploring use cases, balancing costs, and configuring memory.
Clam, founded in 2026 by Anshul Paul and Vaibhav Agrawal, is a seed-stage company based in San Francisco that provides a cloud-based platform for securely running AI agents like OpenClaw, having raised $500K in funding.
Clam, a Y Combinator Winter 2026 startup, offers enterprise-grade security for AI agents through a 'Semantic Firewall' and secrets injection, addressing a growing market need for AI agent security.
Clam has launched a 'semantic firewall' to secure AI agents by inspecting network traffic for sensitive data leaks and prompt injection attempts.
Clam provides an AI integration engineer for startup employees, using a desktop app to analyze tasks, generate workflows, and automatically repair them when they break, with a focus on security through a "Semantic Firewall".
Clam offers enterprise-grade security for broad-access AI agents like OpenClaw through its "Semantic Firewall", which scans for data leaks, prompt injection, and malicious code.
Clam provides a platform for running OpenClaw, an AI agent for personal use, emphasizing security and quick setup, and is a Y Combinator W26 batch company.
Clam offers a "Semantic Firewall" that sits around an AI agent's environment at the network level, scanning outbound traffic for sensitive data leaks, prompt injection attempts, and malicious code.
Clams integrates with Nunchuk to provide Bitcoin accounting for AI agents, tracking cost basis, capital gains, and generating journal entries.
Quick Info
- Batch
- Winter 2026
- Team Size
- 2
- Location
- Unspecified
- Founders
- 2
- Scraped
- 4/10/2026