When Silicon Valley was chasing viral consumer apps, Alchemist quietly built the most rigorous B2B accelerator in the world.
In 2012, the startup world was drunk on consumer internet. Instagram had just been acquired for a billion dollars. Every accelerator, every demo day, every TechCrunch headline was about products that millions of ordinary people might touch. Enterprise software was considered boring. Legacy. The domain of companies that wore suits and moved slowly.
Ravi Belani founded Alchemist with the opposite conviction. Having spent years studying how enterprise software companies actually scaled, he saw something others didn't: the enterprise market was enormous, underserved by the accelerator model, and full of founders who needed a different kind of help.
"Consumer companies live and die on user acquisition. Enterprise companies live and die on enterprise sales. Those are completely different muscles - and nobody was training for enterprise sales."
Alchemist was designed from day one to develop those muscles. The curriculum, the mentor network, and the investor access were all structured around one question: how do you get your first ten enterprise customers?
Alchemist's thesis is precise where others are vague. The program does not back "enterprise software" as a category - it backs companies selling to enterprise customers, where sales cycles are measured in months, where champions inside the customer organization are as important as the product itself, and where the path from pilot to contract to expansion requires a fundamentally different playbook than anything the consumer world has developed.
Alchemist also made an early and lasting commitment to deep technology. Quantum computing, advanced materials, industrial automation, enterprise AI infrastructure - the program has consistently backed founders working at the technical frontier of what's possible, not just the commercial frontier of what's immediately monetizable.
The best B2B founders are not salespeople who learned to code. They are engineers who learned to listen - to hear the exact shape of a customer's pain before they've articulated it themselves.
LaunchDarkly. In 2014, feature flags were not a product category. They were a workaround - a technique developers used inside large codebases to ship code gradually without breaking production. LaunchDarkly's founders had the insight that this workaround was actually a missing infrastructure layer that every software company needed. Alchemist backed them when the category literally did not exist. LaunchDarkly went on to raise over $300M, reaching a valuation of $3 billion and becoming the definitive platform for feature management.
Rigetti Computing. Chad Rigetti left IBM's quantum computing research group to build a full-stack quantum computing company at a time when most people thought practical quantum computing was decades away. Alchemist backed Rigetti in 2013. It was the kind of bet that requires patience and a specific kind of technical conviction that most accelerators don't have. Rigetti went public in 2022 and, as of May 2026, has seen its market capitalization climb toward $8 billion.
Epsagon. Cloud microservices observability was a problem that nobody had named yet when Epsagon was founded. The company built distributed tracing and monitoring tools for cloud-native architectures at the exact moment when enterprises were beginning to grapple with the complexity of moving to microservices. Cisco acquired Epsagon in 2021 for a reported $500M.
The tide turned around 2015 to 2018, as it became clear that the consumer internet market was consolidating around a handful of dominant platforms and that the most durable revenue models in technology were enterprise contracts - not ad-supported consumer products. Slack, Salesforce, ServiceNow, Workday - the companies generating the most reliable returns were selling to businesses.
Alchemist had been building for this moment for three years. When the venture capital world pivoted toward enterprise, Alchemist already had the deal flow, the track record, and the mentor network that enterprise-focused investors needed. The AI wave accelerated this dynamic further. Enterprise AI infrastructure is precisely the category Alchemist is built to back. Alchemist companies were there early.
Alchemist runs cohorts twice yearly, accepting a small number of companies - typically 30 to 40 per batch - from a global applicant pool. The acceptance rate hovers around 5%, which is low enough to be selective but high enough that the program doesn't feel like a lottery.
What Alchemist looks for is unusually specific: founders who have either worked inside the enterprise they are trying to sell to, or who have a demonstrable technical insight about a problem that enterprise customers face. The program is skeptical of founders who are building "enterprise software" because they think enterprise contracts are large. It is interested in founders who are building for enterprises because they have felt the pain themselves.
Alchemist's secret is not its curriculum. It is the room it puts founders into - a room where the people who will sign their first enterprise contracts are sitting at the same table.
Alchemist has now put over 500 companies through its program. The combined portfolio value exceeds $4 billion, a number that significantly understates the impact because many of the program's most valuable alumni built companies in categories - feature flags, quantum computing, enterprise AI infrastructure - that didn't have a market cap when they were founded.
What Alchemist has done, quietly and consistently, is back the infrastructure layer of the next economy. Consumer products get more attention. But the companies that build the rails on which consumer products run often create more durable and defensible value. Alchemist understood this before most of the industry did.
Before Alchemist, the received wisdom was that accelerators were for consumer internet companies. After Alchemist, the category of B2B-focused accelerators expanded significantly. The imitators are a kind of tribute.
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