Today, AfterQuery is excited to announce that we have raised $30 million at a $300 million valuation to build the data layer powering the next generation of professional AI. Since closing a few months ago, we’ve grown exponentially and have surpassed $100 million in revenue run rate.
This round was led by Altos Ventures, with participation from The Raine Group, Y Combinator, and BoxGroup, and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
For most of history, expertise has been scarce, constrained by time and reach: one person, one career, one lifetime.
Now, for the first time, we can encode, evaluate, and scale it. We believe the wisdom that once took a lifetime to build shouldn’t take a lifetime to find.
Our datasets and reinforcement learning environments power every frontier AI lab and will redefine how millions of people around the world think, work, and interact.
To our customers, colleagues, and partners, thank you. This is just the beginning.
Comment “AFTERQUERY” to read more about what this milestone means.
Meet Kishan, SPL at @afterquery
Driving high-quality data pipelines, scaling expert-led AI training, and helping power the next generation of frontier models.
#explore ArtificialIntelligence. AI. Tech. Startup.
meet @afterquery ‘s Sam Jung
head of research operations
quietly shaping how frontier models learn
follow us to see what we’re building
#explore #ai #tech
this is @afterquery ‘s IDE-Bench.
we built a benchmark for what actually matters — how well models can think, debug, and build in real dev environments.
comment “IDE” to read the full paper.
#ai #startups #explore
Meet Carlos Georgescu, Co-Founder of @AfterQuery
Ex-Citadel Securities & Meta engineer who exited an ed-tech startup before building a community of top industry professionals.
Comment “EXPERT” to join this global network.
#explore #fyp
this is @afterquery ‘s market bench.
we built a benchmark to test how well models actually reason about markets, finance, and real-world investing tasks
comment “BENCH” to read the full paper
#ai #startup #explore
The bottleneck to better AI isn’t compute. It’s knowledge.
Meet Spencer Mateega, Co-Founder of AfterQuery.
The mission is simple but massive: encode real human expertise into training data that helps frontier AI systems reason better, act smarter, and scale responsibly.
Spencer’s vision? A world where automation removes repetitive work — so humans can focus on creativity, strategy, and building what once felt impossible.
From domain-specific expert datasets to granular grading rubrics that capture how professionals actually think, AfterQuery is redefining what high-signal AI training data looks like — profession by profession.
Data isn’t just fuel.
It’s the blueprint for intelligence.
Today, humanity is shackled by soul-crushing work. When tasks become infinitely automated, humans will be freed to create, explore, and build what we can’t even conceive of today.
Introducing @AfterQuery . We’re building a world where all jobs are automated.
Profession by profession, AfterQuery is crafting datasets that encode human knowledge into forms that machines can learn.
Data is the final frontier.
The same AI models don’t always design the same websites.
AfterQuery’s UI-Bench tested 10 AI website builders with 194 professional designers and ran 4,000 blind comparisons. Some tools delivered client-ready sites, while others fell back on generic templates. Orchids, Figma Make, and Lovable ranked highest, while Vercel’s v0 and Replit came in last. View the full study here - /abs/2508.20410.
Drop your experience with AI website builders in the comments.
