Today we announce raising our Series A and $25M in total funding to do more of the work for the hundreds of companies that trust us with their sales tax and the thousands more we want to serve.
Indirect tax is the least sexy, biggest problem in almost every company that sells anything. In the US, businesses remit over $600B in sales tax a year. Globally it's ~$5 trillion in VAT.
It never goes away. It only gets bigger.
And it lands on people who never signed up for it.
Your controller. Your VP of Finance. Your CFO.
At some point in your twenties there emerges a Choose Your Own Adventure game where you can elect to encourage or suppress personality traits you’ve observed in your parents. The real gameplay is in sorting which traits are inherited and which are de novo.
I spent part of my childhood on big commercial development sites in the Midwest. This couldn't resonate more. Excited for the future @MaximilianMona is building.
Thrilled to announce KP22, our twenty-second venture fund with $1 billion to back early stage companies, along with $2.5 billion in growth funds to back high-inflection, category-defining businesses — $3.5 billion in total.
AI is reshaping every industry from the ground up, faster than anything seen before. This is the moment to build.
Grateful to our team, and the founders and LPs who’ve trusted us over the years, and looking forward to partnering with the next generation of history-making companies.
https://t.co/FVhpTE0yOy
Congrats to the team at @mine_financial (formerly Fizz) on their Series A and the launch of MoneyGPT, an AI money agent for young adults to achieve financial independence.
@imscottsmith, @carlowillem
today, Fizz rebrands to Mine.
as the head of design, it's been an amazing journey to ideate, lead, and finally release to the world what we see as the future of finance.
here's how we did it 🧵
we just released our first model: SID-1
it's designed to be extremely good at only one task: retrieval.
it has 1.8x better recall than embedding search alone (even with reranking) and beats "agentic" retrieval implemented using all frontier LLMs, including the really large and expensive ones (see chart).
we trained SID-1 using multi-environment, multi-turn RL on Qwen. it was a lot of work (a lot of which is documented in our tech report -- see pinned tweet).
our RL environments build on the idea that humans with search tools can find almost any information given sufficient iteration. like humans, SID-1 makes a first search, read the results, and adapts its strategy.
and it can do this much faster *and* better than frontier LLMs: 24x faster than GPT-5.1, 27x faster than Gemini 3 Pro.
the better part is critical! if a model is fast and wrong, it's just wrong. that's why we trained SID-1 until it was the most likely to deliver the correct results. bar none.
we're partnering with a small number of companies today and have a waitlist for everyone else. (we don't have enough inference compute for everyone yet).
Today I’m launching @Valkyrie_vc - a $45M early-stage fund investing in AI, infrastructure, and critical industries.
Grateful to the founders, partners, and friends I’ve worked with along the way. You’ve truly shaped how I invest and why I built Valkyrie.
To the founders: Valkyrie was built for you. To partner with you. To build what matters. This is our new frontier. Let’s build it.
Thank you to @_pheebini at @Forbes who captured the story → https://t.co/hqTVGn5Rxq
I’m thrilled to announce the launch of my $40M pre-seed and seed-stage fund, @SevenStars_VC, where I’ll be focused on partnering with visionary founders building enduring AI application companies across consumer and enterprise technology.
Seven Stars is deeply personal. It’s named after my parents, who immigrated from South Korea and started a clothing small business in Downtown Los Angeles - Seven Star Fashion. Their tireless work ethic gave me a future and inspires me to show up for founders with that same dedication.
I’m incredibly grateful to our founders, limited partners, co-investors, advisors, and my family for their unwavering support. Read more via @agarfinks in @FortuneMagazine! https://t.co/swpKcZgbey