
We envision a future where data seamlessly bridges the gap between insight and action, empowering every business to unlock the full potential of their information from day one. Our mission is to redefine how analytics are delivered by embedding intelligent, role-aware dashboards directly within SaaS applications, eliminating complexity and accelerating decision-making.
At the heart of our innovation is an AI-driven platform that personalizes analytics for each user, leverages natural language for intuitive data interaction, and anticipates critical trends and anomalies through automated insights. We are building a future where actionable intelligence is accessible to all users regardless of technical expertise, fostering a new era of data democratization and operational agility.
Guided by a team with deep expertise in data engineering and advanced analytics, we are committed to transforming customer engagement by enabling scalable, customized analytics that evolve effortlessly alongside the growth of modern technology companies. Our vision is a connected ecosystem where data powers smarter products and drives meaningful impact in real time.
Our Review
We'll be honest — when we first heard "AI-powered embedded analytics," our eyes nearly rolled out of our heads. But Upsolve AI actually caught our attention for all the right reasons. This Y Combinator W24 startup isn't just slapping AI on dashboards and calling it revolutionary.
What they've built is genuinely clever: a platform that lets SaaS companies embed smart analytics into their products without the usual engineering nightmare. Think of it as giving your customers a data analyst that lives inside your app.
The Palantir Pedigree
Here's what made us sit up and take notice: founders Ka Ling Wu and Serguei Balanovich aren't fresh-faced Stanford grads with a dream. They're Palantir veterans who spent years building Hyperauto, scaling it to 50+ enterprises with eight-figure revenues.
That experience shows in their product approach. Instead of building another generic dashboard tool, they're solving the specific pain point they lived through at Palantir — making complex data actually usable for regular humans.
Natural Language Gets Real
The standout feature isn't the AI insights (though those are solid). It's the natural language querying that actually works. Users can literally ask their dashboard questions in plain English instead of wrestling with filters or — heaven forbid — writing SQL.
We've seen this promise before, but Upsolve's implementation feels different. The persona-based approach means a CFO sees finance-focused insights while a product manager gets user behavior data, all from the same underlying dataset.
Who Should Care
This isn't for enterprise giants with armies of data engineers. Upsolve targets startups and high-growth companies that want to offer analytics to their customers but can't afford to build it from scratch.
If you're a SaaS founder who's ever said "we should add analytics to our product" and then immediately felt overwhelmed by the scope, Upsolve might be your answer. Their "day one" deployment promise seems ambitious, but given their team's track record, we're inclined to believe it.
The fact they've already cracked $1 million in sales while refining their go-to-market approach suggests they're onto something real, not just another YC experiment.
AI-powered embedded analytics platform
Persona-based dashboards tailored by user role
Natural language querying for conversational data exploration
AI-guided insights with automatic anomaly and trend detection
Seamless integration with multiple data sources
Real-time data processing
Turnkey embedding of analytics in SaaS products






