I got this question so many times today. "How can you grow 80% at $7B?"
The true answer is that we're finally seeing a breakthrough with AI agents starting to work in the enterprise.
The AIs have been super smart for a while, but have lacked basic context that's in people's heads, or in some SaaS system-or-record. A lot of organizations are deploying FDEs to capture this context, or Ontology, and feed it to the AI. This is labor intensive and expensive. We just automated that with Genie Ontology.
Once you have that enterprise context graph, an AI agent like Genie becomes magical. I find myself no longer waiting for answers from my CRO, CFO, CMO, CHRO etc, I just keep queuing up questions on the phone while sitting in meetings. It'd frankly addictive.
Our customers are starting to do the same, over 70% of all queries on the platform are now generated by Genie agents. This fuels more questions to the platform, which drives consumption, which drives revenue. That's the simple answer.
Today, we announced that we crossed $7B in revenue run-rate, growing over 80% year over year in Q2.
We also shared:
🚀 $100M+ revenue run-rate for Lakebase
🚀 $1.5B+ revenue run-rate for Lakehouse, growing over 100% year over year
🚀 Continued positive adjusted free cash flow
And we raised $5B in our latest fundraise.
We’ll use this capital to invest in:
1️⃣ Lakebase, our serverless Postgres database built for AI agents
2️⃣ Genie, our AI coworkers that actually understand your business data
3️⃣ Unity AI Gateway, our multi-AI governance solution that helps control costs
@iamVictorDey shares more in @Forbes:
https://t.co/y2LdxysBNi
More exciting news today -- Gemini 1.5 Pro result is out!
Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1!
Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest GPT-4-Turbo🔥
Big congrats to @GoogleDeepMind on shipping this powerful Gemini API to developers & community. Very excited to see what app can be built on top!
Die BMI Group der @ETH Zürich nutzt #ML, um zur Optimierung der Behandlung genetischer Störungen und von Krankheiten wie Krebs, die von Veränderungen in der menschlichen DNA ausgehen, beizutragen und die Datensätze für Forschende zugänglich zu machen ↓ https://t.co/0Ee0yzijcC
We've published an early release of our #COVID19 Community Mobility Reports in 130+ countries which provide insights that could help public health officials understand the impact of response strategies such as social distancing: https://t.co/Stfk3KOmjG
https://t.co/9lCkaglvRF
I warmly 👍🏻 the initiative that #Google takes to preserve the smooth functioning of the Internet during the #COVID19 crisis by having #YouTube switch all 🇪🇺 traffic to SD by default.
@sundarpichai and @SusanWojcicki demonstrate strong responsibility.
https://t.co/jMNhFFpsxa
Hey, @google, @sundarpichai & @googleAI! If you wanna make a world’s first showcase on how #GoogleAssistant can be a gateway to digital public services of govts, let’s talk & bring #krattAI to life in @Android devices! #eEstonia is ready to work with you if you are ready for us!
@KenCarslaw Hi Ken, how are you? Not sure you still remember me. I did a PostDoc in your team some time ago... If you happen to stop in Zurich during your Jungfrau marathon and would like to visit the Google office here, I am very happy to invite you for lunch :-) Just LMK!
@KenCarslaw Actually it would be good to investigate the impact of happy people vs less happy people on the climate... I would bet on what the outcome is... :-)