Our 2025 Year in Review is live π
β 44 new investments
β 30 follow-on investments
β 20+ M&A exits
β $1B AI Fund fully deployed
β New focus areas in robotics, defense, & energy
Explore our full Year in Review: https://t.co/xHtEk7NGqX
Salesforce Ventures is proud to invest in @supabase: the new backend for the AI era π
Building a modern backend has always been more painful than it should be: stitching together a database from one vendor, auth from another, storage from a third, and glue code to hold it all together.
Supabase eliminates that complexity. One open-source platform. Complete Postgres backend with auth, storage, realtime, and edge functions β wired together from day one.
The numbers speak for themselves: 7 million developers have signed up, 55% of the latest @ycombinator batch builds on Supabase as well as leading enterprises like Figma, Vercel, and Bolt. Further, AI coding tools like Claude Code, Cursor, and Lovable are making Supabase one of the most common backends in a generation of new applications and creating a compounding distribution advantage that goes well beyond managed Postgres.
Proud to back @kiwicopple, @AntWilson, and the entire Supabase team as they build the foundational infrastructure layer for how software gets built in the AI era π
π On our blog, @pdrews, @emilyyzhao , @KartikeyaG9, and Pascha Hao shared more about our investment in Supabase: https://t.co/BrkeHcHrvu
"I would like to live in a world where we actually deeply understand the AI models that we're deploying everywhere across society."
@GoodfireAI CEO Eric Ho on how even researchers at frontier labs can't fully explain how their models work, or why they become intelligent.
"Never before has there been this wide of a gap between our understanding of a technology and how widely it's being deployed. Our entire mission as a company is to change that."
More than half of the Goodfire team is focused on interpretability research βreverse engineering the weights and parameters of neural networks to better understand their algorithms, computations, and features. Goodfire's aim is to look "inside" a model and attach meaning to the units of computation within it. This way, they can help design better models, build safer systems, and create more effective guardrails during training and deployment.
π₯ Watch Eric in conversation with @emilyyzhao on how Goodfire works to understand AI models.
The idea that launched @GoodfireAIπ₯
When ChatGPT launched, most people were blinded by the possibilities. Eric Ho saw the risk it posed.
"I kind of saw the next few years unfold before me, where we were about to get increasingly powerful models ... massive amounts of compute, massive amounts of intelligence, but we wouldn't understand at all how this intelligence would actually work."
Most models operate as a black box. Users can see the output, but they can't reliably see how the model reached it, why it behaved in a certain way, or whether it will behave the same way again next time. With how quickly AI is being deployed into mission-critical environments, Eric wanted to do something to ensure AI models are functioning as intended.
In a new video interview with Emily Zhao, Eric explained his aim behind founding Goodfire: to build the science and technology needed to understand AI from the inside out.
We're proud to invest in @genx_corp π€
Japan's enterprise AI market is enormous β and untapped. GenerativeX deploys custom AI agents for Japan's largest enterprises in days, not months.
Fast AI adoption at scale is possible. GenerativeX is proving it.
https://t.co/2vs3EujEA8
We've invested in @OpturaAI π
Healthcare AI has a measurement problem. Orgs are running pilots β but can't prove hard-dollar ROI to their boards.
Optura fixes that. A full-stack AI OS for healthcare enterprises.
Proud to partner with this team π€
https://t.co/379F5yHCxG
"Peter Morales was put on this earth to solve this problem."
After leading @Code_Metal_AI's Series B, @RobwKeith talks to @ryanaytay about why Salesforce Ventures invested in the business π₯
"I think it's a great network to have. The Salesforce ecosystem is very big, and so whether it be execs or people working within the company, or the companies within the Ventures portfolio ... it's a massive network." β @ryanaytay of @Code_Metal_AI on why he partnered with SFV
Solving the AI energy crisis requires more than new generation. It also requires infrastructure that ensures energy gets where it needs to go.
We just published Part 2 of our energy series, focused on modernizing the U.S. power grid. Read it here: https://t.co/TRkEhofKlr
AI is the most transformative technology of our lifetime.
But its scale is defined by electrons.
We just published our energy investment thesis β 5β£ technologies we believe will power the AI era.
A thread π§΅
https://t.co/Q4XEVfNYxI
"There's a lot happening in the world of AI and code generation ... but there's not enough focus on what I'll call AI verification."
@ryanaytay, COO of @Code_Metal_AI, on the company's mission and why he decided to join.
New on the blog today: What the Data Says About AI Pricing π
@Spyzguyz dug into our recent AI Pricing Report and shared some of his favorite takeaways.
π Read it here: https://t.co/ps13hjHaf8
"Will AI fully replace [software development]? I don't think it will. But @Code_Metal_AI will make it easier for us to go faster."
@ryanaytay, COO of Code Metal, discusses the future of software development with @RobwKeith.
Congrats to the 4οΈβ£ Salesforce Ventures portfolio companies named to @TIME's 100 Most Influential Companies of 2026 list: @AnthropicAI, @EmeraldAi_, @Lovable, and @MistralAI π
Well deserved.
https://t.co/Ca7Oi70zbl
"Having spent time with @Benioff, I was really inspired by what can be built over decades of hard work, and effort, and persistence."
@ChaseLochmiller, CEO of @CrusoeAI, discusses why he partnered with Salesforce Ventures for his company's Series E πΉ
"I think we are going to build a lot more [AI] infrastructure at a much lower cost, partially because the reliability will be lower of those data centers."
@CrusoeAI CEO @ChaseLochmiller on why he hopes to see a 40% reduction in costs for developing AI infra in the future πΉ
"In many ways I think we may be under-building and underestimating the actual amount of computing infrastructure we're going to need as AI scales."
@ChaseLochmiller, CEO of @CrusoeAI, on how model providers are thinking about scaling AI infrastructure to sustain demand π₯