Hundreds of Stanford MBAs are among the early adopters of DeepSky, an AI platform that integrates directly with data sources such as FactSet, Crunchbase, Polygon, and SEC filings — giving users the ability to query market, financial, and company data in real time without leaving the system
When Christopher Chang left investment banking to co-found an AI startup, he wasn’t chasing hype — he was chasing precision.
The result is DeepSky, a research engine already winning over hundreds of MBAs — including at Stanford GSB — for its ability to cut through noise, crush hallucinations, and deliver market-ready insights in minutes.
Now Chang wants to do more than help students ace interviews. He wants to equip them to enter the workforce thinking like managers from day one.
STARTING IN FINANCE, THINKING BIGGER
DeepSky’s Christopher Chang: “We want to enable the entrepreneur of one, the fund manager of one. You focus on growth and strategy; DeepSky helps you execute”
“The hardest part, especially when you’re less experienced, is knowing what information matters and how to frame it,” Chang tells Poets&Quants. “DeepSky helps by filtering out the noise and structuring the learning moment for you.”
Chang’s path to DeepSky began with a shared observation among the founding team, comprised of CTO Forrest Moret and Chief Architect Mark Huang: the release of ChatGPT in late 2022 had altered the nature of corporate information work almost overnight.
“All of us had backgrounds in AI, and in finance,” Chang says. “Mark had been in quantitative trading; I came from fundamental investing and banking. We saw that models at the time were very weak in finance, so we began specializing in tuning them for that sector.”
The team pushed early boundaries, becoming one of the first to extend context length to one million tokens with high retrievable accuracy. That, Chang says, laid the groundwork for something bigger: “It became obvious that if you gave these models the right tools, the right data, and the ability to reason, you could build agentic systems capable of super intelligence.”
BUILT FOR HIGH-STAKES RESEARCH
DeepSky’s initial focus was investment and market research — a proving ground Chang calls “the gold standard” of information work. “If you can solve research challenges in finance, you can solve them for almost anyone,” he says.
The platform integrates directly with data sources such as FactSet, Crunchbase, Polygon, and SEC filings. That means users can query market, financial, and company data in real time without leaving the system. But DeepSky isn’t just a search engine — it’s built to analyze, filter, and structure results into actionable narratives.
“It’s methodical,” Chang explains. “It ranks and filters out non-reputable sources, then distills the findings into a clear narrative. That’s critical for anyone learning a new industry or function — from an MBA student preparing for a consulting interview to a CEO evaluating competitive positioning.”
WHY MBAs ARE THE FIRST AUDIENCE
DeepSky’s early focus was targeting business school students. According to Chang, MBAs face the same challenge as early-career professionals: cutting through noise to find relevant, credible, and deep insights.
The approach appears to resonate. Early users — roughly 300 MBAs, including many at Stanford GSB — use DeepSky for everything from case interview prep to learning industry fundamentals to supporting internship projects. Feedback from this group has already shaped the product, prompting the introduction of a “quick chat” mode for fast fact-finding alongside a deeper reasoning mode for full-scale reports.
MBA STRATEGIST PROGRAM ROLLS OUT
DeepSky’s Michael Unger: “When I did my MBA I got spammed with these sort of pray-and-spray programs and wanted a slightly different relationship to companies supporting students”
Michael Unger, head of sales, says DeepSky is rolling out an MBA Strategist Program as part of its campus presence.
“We’re taking a very hands-on approach with the view that students should be using AI, but with the right guardrails and understanding,” Unger, an Oxford Class of 2021 MBA, tells P&Q. “I’ve conducted close to 100 interviews and chats with MBAs in the leadup of our launch and while some are leveraging reasoning tools, many are just doing a copy and paste of content for papers or research.
“We want to be there on campus given our size and agility (versus some reps from the bigger companies that are looking for pure distribution arms). When I did my MBA I got spammed with these sort of pray-and-spray programs and wanted a slightly different relationship to companies supporting students.”
The package includes 12 months of free DeepSky Pro for entire classes, a value of roughly $240 per student, along with early access to unreleased agent features and products as they roll out. Students also receive $1,000 in AI usage credits for their own projects and experiments. “We want you to try other AI tools against DeepSky,” Unger says. “Don’t take our word for it!”
There are also cash rewards of up to $1,000 in referral bonuses for network conversions, plus performance-based prizes for top campuses, including a funded meeting with tech and venture capital leaders at DeepSky’s headquarters in Silicon Valley. On the professional side, the program offers direct mentorship from DeepSky’s GTM, Product, and Engineering teams, exclusive access to AI experts, and opportunities to collaborate with the company.
Students can also apply for up to $1,500 in funding to co-host AI events on campus, ranging from “AI Happy Hours” to interview prep workshops. Finally, participants may serve as the bridge between DeepSky and top student talent, helping influence future hiring and partnerships.
“The package is pretty solid,” Unger says.
CHANGING AI’S REPUTATION IN EDUCATION
With faculty concerns mounting that AI could shortcut student learning, Chang positions DeepSky as a counterexample — a tool designed to enhance critical thinking rather than bypass it.
“The difference between using ChatGPT to do your homework and using DeepSky to learn,” he says, “is in how deep you can go, and how well the system focuses on educating you. Our agent is built on first-principles thinking and layered reasoning, so almost every response is structured as a teaching moment.”
HOW AI COULD CHANGE ENTRY-LEVEL ROLES
Chang believes AI won’t eliminate early-career opportunities — but it will change them.
“In finance, a lot of junior roles were about doing the grunt work before you could move up,” he says. “AI removes the need to delegate low-level tasks to a junior person. That means students will have to front-load their learning during school so they can enter the workforce ready to operate at a managerial, strategic level.”
The result, he predicts, will be steeper learning curves in business school and more emphasis on practical application before graduation. “Net productivity will increase, because you’re scaling strategy with AI as your execution partner,” he says.
THE ROAD AHEAD
With its beta agent recently launched, DeepSky is now focused on refining its benchmark-beating performance and expanding capabilities. Upcoming features include agentic browsing, automated scripting, and coding tools designed to “actualize” the system’s recommendations.
The long-term goal, Chang says, is to make DeepSky capable of running an entire business without traditional operational scaling. “We want to enable the entrepreneur of one, the fund manager of one,” he says. “You focus on growth and strategy; DeepSky helps you execute.”
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