HomeCompaniesBaseFrame
BaseFrame

Detect what AI can automate for your team

Most teams want to plug in AI but don't know where to get started. BaseFrame finds exactly what to automate for each employee using the historic data on their computer. Instead of relying on screen recording or generic AI demos, we use the real history of how work gets done across email, docs, Slack, calendar, browser, and files to identify the highest-value automations. We use local models so that your sensitive data doesn’t have to leave your system. Once you find a set of automations, send them off to your automation tool of choice and share them with your team so that everyone can get productivity boosts.
Active Founders
Anshul Paul
Anshul Paul
Founder
Co-Founder and CEO of BaseFrame (W26). Previously first full-time employee and founding engineer at HappyRobot, where I worked on omni-channel AI communication, AI evals, and enterprise system integrations. Helped grow company to 100+ in size and Seed to Series B. Majored in EECS and Business at UC Berkeley M.E.T.
Vaibhav Agrawal
Vaibhav Agrawal
Founder
Co-Founder of Clam (W26). Previously a Fellow at Sutter Hill Ventures. Worked on the data ingestion infrastructure at Sigma Computing and remote agents orchestration and containerization at Augment Code. Studied CS at Berkeley.
Company Launches
Clam: Semantic Firewall meets OpenClaw
See original launch post

Hey everyone! We’re Anshul and Vaibhav from Clam.

If you’ve heard about OpenClaw, you’ve also heard about the security risks and the data leaks that have already happened. Whether you’re an enterprise or an individual, you’re rightfully worried to give it access to all your accounts and data.

We’re putting our past experiences together to solve that.

https://www.youtube.com/watch?v=k9pmLp8dz0A

A bit about us:

Anshul led AI evals and observability at HappyRobot (Series B YC company), and Vaibhav worked on scaling virtual agents at Augment Code (Series B AI code company). Fun fact, we were also partners during our Computer Security course at Berkeley a few years ago.

What we’re building:

Clam brings enterprise-grade security through their “Semantic Firewall”, a security checkpoint that sits around the AI's environment at the network level.

Our system runs a series of scans on anything your AI sends out into the world and everything that comes in to catch inconsistencies before they turn into problems.

Each message is scanned for personal info leaks (SSNs, credit cards, private keys), prompt injection attempts (jailbreaks, instruction overrides), and malicious code (reverse shells, encoded execution).

To keep your data even safer, API keys and secrets are injected at the network level so the AI never sees or stores your credentials.

Deploy and set up broad-access AI agents built on security with Clam.

Our Ask:

  • We’d love to talk to folks who’ve already set up their OpenClaw or haven’t yet due to the security issues. Please reach out!
  • Please check us out at TryClam.com to get onboarded with integrations smoothly. We’re continually improving the system so any feedback is super appreciated!
Previous Launches
AI agents that catch risks and tradeoffs early during hardware project scoping
BaseFrame
Founded:2025
Batch:Winter 2026
Team Size:2
Status:
Active
Primary Partner:Gustaf Alstromer