Upsolve AI: the platform to build, deploy, and evaluate grounded, governed, trustworthy data agents. Agent Context Studio is the context layer agentic analytics needs.
Hey Product Hunt 👋 I'm Ka Ling, founder of Upsolve AI.
You centralized everything in a data warehouse. You bolted an LLM on top. The demo was magic. Then it hit production and confused ARR with run rate in front of your CEO. Project shelved. You're not alone, 95% of AI data POCs never ship.
The problem was never the model. It's context. How your company defines "revenue," which table is the source of truth, the business rules that live in someone's head and a dbt file from 2021. Models can't guess that. a16z and OpenAI both said the same thing this year.
Upsolve AI is the context infrastructure for analytics agents. We encode your institutional knowledge across three layers: Structure (schemas, lineage), Meaning (your metrics + rules), and Trust (verified answers, evals, full observability).
Two sides, one platform:
Agent Studio: data teams encode, test, and tune agents that reason like your best analyst. 1 day, not 6 months.
Agentic Dashboard: anyone asks questions in plain English. No SQL, no queue, no 3-day wait.
Deploy the same agent everywhere your team already works, Slack, Teams, your own product, or Claude.
Already live with Fortune 500s, 60+ person BI teams, and growth-stage companies like Effi, Skylink, and Arthur AI.
What's broken about data and analytics agents in your world? I'm here all day. 🙏
What's the biggest thing you've learned about how people actually interact with AI analysts that you couldn't have discovered without shipping to real customers?
Strong framing. The hard part with analytics agents is usually not the chart, it is what happens after the answer gets trusted. If someone turns an insight into a report, Slack update, or downstream task, do you keep that action trail in the same context layer or outside it?
Can you set different permission levels so some users can ask questions but not trigger write actions?
About Upsolve AI on Product Hunt
“Build grounded, governed, trustworthy data agents”
Upsolve AI launched on Product Hunt on June 19th, 2026 and earned 85 upvotes and 5 comments, placing #19 on the daily leaderboard. Upsolve AI: the platform to build, deploy, and evaluate grounded, governed, trustworthy data agents. Agent Context Studio is the context layer agentic analytics needs.
Upsolve AI was featured in Analytics (172.5k followers), Developer Tools (514.9k followers) and Business Intelligence (3.6k followers) on Product Hunt. Together, these topics include over 91.2k products, making this a competitive space to launch in.
Who hunted Upsolve AI?
Upsolve AI was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Upsolve AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan