Tech leaders built for business impact
We focus on outcomes, for all stakeholders. We blend the right mix of talent, grit, process, and timing, to uncover the best opportunities. When it all clicks, it’s a rare balance of discipline and creativity. That’s what makes it hard and what makes it fun.
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From concept to scale, here's a curated list of companies we’ve cofounded and backed with capital, talent, and hands-on execution.
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From bold ideas to great companies
Partner with us to cofound the next big idea. We invest, build, and scale alongside, from concept to leadership.
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AI didn't eliminate the hardest part of building a startup—it moved it. Today, the challenge isn't writing code; it's finding the people who can validate your idea before you race to market. Design partner discovery has become the new go-to-market problem, and the founders who solve it first will build companies that matter.

Every company I talk to is building agents, AI-native tools, and therefore integrating LLMs into their customer-facing production systems. The pace of adoption has been staggering. OpenAI’s rapid growth and Anthropic’s imminent IPO are clear validation points. But there’s a pattern I keep seeing: the demo works, the executive buyers are excited, the board is bought in—and then it hits production, and everybody is surprised with the LLM costs, in the form of credits or tokens consumed. Often this is because of lack of control and foresight with LLM usage as adoption and usage grows. Often there are little to no guardrails or notifications built in to inform users on the degree of usage and consumption over time. Also, there are no guardrails for engineering teams building the AI native solutions for downstream end users.
This session showcases a super{set}’s portfolio company that was built from scratch. It started with an idea from co-founder, Gal Vered who spent time managing product at Google and then as CTO with a startup. Gal learned first-hand how hard it is to maintain software quality so he built Checksum.ai for continuous, autonomous software testing.
Vivek breaks down exactly where AI founders lose the plot and what the ones who survive do differently.
Watch it. Share it with founders and builders.
If you're an aspiring founder who wants to build with people who actually build with you: Signal is the place to be.
Aliisa Rosenthal, OpenAI's first commercial hire, on building enterprise GTM from $10M to a $10B run-rate.























