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# Lessons from Jack Kokko
- URL: https://www.antoinebuteau.com/lessons-from-jack-kokko/
- Published: 2026-06-30T17:20:47.000Z
- Updated: 2026-09-05T03:04:36.000Z
- Description: Jack Kokko, founder and CEO of AlphaSense, built a search engine in response to information overload as a financial analyst, focusing on reliable artificial intelligence for high-stakes decisions and the disciplines of data, enterprise software, and entrepreneurial risk.
- Author: Antoine Buteau
- Tags: Profile, Tech Entrepreneurs & Founders Profiles

Jack Kokko is the founder and CEO of AlphaSense, a search engine he built to solve the information overload he experienced as a financial analyst. He is known for applying artificial intelligence to market intelligence, specifically focusing on how to make AI reliable enough for high-stakes business decisions. This profile compiles his thoughts on managing data, building enterprise software, and navigating risk as an entrepreneur.

![Visual summary of operating lessons from Jack Kokko.](https://www.antoinebuteau.com/content/images/2026/06/lessons-from-jack-kokko-profile-infographic.webp)

## Part 1: The Information Overload Problem

1. **On the pain of manual research:** "I spent hours as an analyst poring over large amounts of information and gathering data to help value and execute large M&A deals." — [*Source: \[Morgan Stanley Alumni*](https://morganstanleyalumni.com/?ref=antoinebuteau.com)*\]*
2. **On the fear of missing out:** "The intense fear as an analyst of missing critical information in high-stakes M&A meetings is what drove me to build a solution." — [*Source: \[Riffon*](https://riffon.com/?ref=antoinebuteau.com)*\]*
3. **On volume versus velocity:** "The volume and velocity of information today make it increasingly difficult for businesses to identify what matters and act with confidence." — [*Source: \[OTC Markets*](https://otcmarkets.com/?ref=antoinebuteau.com)*\]*
4. **On finding a needle in a haystack:** The challenge in finance isn't a lack of data, but the inability to quickly find the specific insight that changes a valuation. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
5. **On the limitations of legacy tools:** Traditional search tools simply weren't built to understand the semantic nuances of financial language. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
6. **On unstructured data:** The vast majority of valuable business information lives in unstructured formats like transcripts and filings, which are difficult to parse manually. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
7. **On the cost of missed insights:** Failing to connect the dots across fragmented information sources can lead directly to lost revenue or poor investments. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
8. **On cognitive fatigue:** Analysts burn out not from doing high-level analysis, but from the rote mechanical work of gathering the inputs for that analysis. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
9. **On early career realizations:** Working in tech M&A in Menlo Park made it immediately clear that the speed of business was outpacing the speed of our research tools. — [*Source: \[Morgan Stanley Alumni*](https://morganstanleyalumni.com/?ref=antoinebuteau.com)*\]*

## Part 2: The Founding of AlphaSense

1. **On solving your own problem:** "What inspired me was my own experience as an investment banker where I desperately needed a product like AlphaSense." — [*Source: \[Morgan Stanley Alumni*](https://morganstanleyalumni.com/?ref=antoinebuteau.com)*\]*
2. **On initial product vision:** The early goal was to create a "Google for finance" that could understand the specific terminology used by Wall Street. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
3. **On taking the leap:** Moving from the stability of investment banking to starting a software company required embracing daily uncertainty. — [*Source: \[Medium*](https://medium.com/?ref=antoinebuteau.com)*\]*
4. **On the power of a technical co-founder:** Partnering with someone who deeply understands search architecture and natural language processing was critical to translating the financial use case into reality. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
5. **On early customer feedback:** The first iterations were rough, but early adopters saw the potential to save hours of manual reading. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
6. **On domain specificity:** We realized quickly that a general search engine couldn't handle the complexities of financial documents; it had to be purpose-built. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
7. **On naming the company:** The name reflects the goal: helping users find the signal (alpha) amidst the noise (sense). — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
8. **On patience in development:** Building the foundational semantic search engine took years before the market fully understood the value of the technology. — [*Source: \[Forbes*](https://forbes.com/?ref=antoinebuteau.com)*\]*
9. **On the original mission:** "We set out to close the gap between critical insights and decision-making at speed." — [*Source: \[OTC Markets*](https://otcmarkets.com/?ref=antoinebuteau.com)*\]*

## Part 3: Building Enterprise-Grade AI

1. **On competitive moats:** "What makes AlphaSense unique? It's the combination of the market's broadest content universe, purpose-built AI, and workflows designed for high-stakes decision making." — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
2. **On continuous learning:** "At AlphaSense, we're building a continuously learning intelligence platform that combines proprietary content, deep insights from expert interviews, and purpose-built AI." — [*Source: \[Investing News*](https://investingnews.com/?ref=antoinebuteau.com)*\]*
3. **On consumer vs. enterprise AI:** Consumer AI can afford to be occasionally wrong; enterprise AI used in financial models cannot. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*
4. **On the importance of proprietary data:** An AI model is only as useful as the content it is trained on and the specific data it has access to. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
5. **On integrating LLMs:** Generative AI isn't a standalone product; it needs to be integrated deeply into the existing workflows of professionals. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
6. **On iterative development:** "We have to keep evolving it" by balancing the raw power of language models with rigorous human evaluation. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
7. **On avoiding gimmicks:** Enterprise customers don't want AI chatbots for the sake of having them; they want tools that demonstrably speed up their research process. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
8. **On workflow design:** The interface matters just as much as the algorithm; if the workflow isn't intuitive, analysts simply won't adopt it. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
9. **On the "always-on" machine:** The goal is an intelligence factory that processes information continuously, alerting users to changes before they even ask. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
10. **On technical debt:** When building enterprise search infrastructure, taking shortcuts early on will inevitably bottleneck scale later. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*

## Part 4: Verifiability and Trust in AI

1. **On the core technical challenge:** "The key technical challenge is verifiability." — [*Source: \[Mustachian Post*](https://mustachianpost.com/?ref=antoinebuteau.com)*\]*
2. **On AI scaffolding:** "For high-stakes business decisions, AI outputs must include 'scaffolding' and 'guard rails' that allow users to trace information back to the original source." — [*Source: \[Mustachian Post*](https://mustachianpost.com/?ref=antoinebuteau.com)*\]*
3. **On building confidence:** "Giving users trust that they know exactly where each bit of information is coming from" has been the core value since day one. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*
4. **On hallucinations:** In the financial sector, an AI hallucination isn't just an error; it's a liability that can lead to catastrophic capital allocation. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
5. **On auditability:** Every claim generated by the system must have a clickable link back to the exact sentence in the SEC filing or transcript it came from. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
6. **On human-in-the-loop:** The technology is meant to augment the analyst, not replace them; the human must always have the final say on the data's validity. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
7. **On evaluating models:** We spend as much time evaluating and testing the accuracy of the outputs as we do training the models themselves. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
8. **On the narrative vs. the facts:** "We can then find the best results and create a narrative around them, while still staying true" to the underlying data. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*
9. **On institutional trust:** Once an organization loses trust in a search tool's accuracy, it is incredibly difficult to win it back. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
10. **On mitigating bias:** Ensuring that the AI weighs sources appropriately, favoring official filings over rumors, is critical to maintaining data integrity. — [*Source: \[Forbes*](https://forbes.com/?ref=antoinebuteau.com)*\]*

## Part 5: Navigating Risk and High-Stakes Decisions

1. **On risk and passion:** "As an analyst, you need to understand risk. As an entrepreneur, you live risk each and every day. Given that, make sure you have passion." — [*Source: \[Medium*](https://medium.com/?ref=antoinebuteau.com)*\]*
2. **On building conviction:** The ultimate goal of market intelligence isn't just to gather data, but to allow executives to "make faster, higher-conviction decisions in complex environments." — [*Source: \[Investing News*](https://investingnews.com/?ref=antoinebuteau.com)*\]*
3. **On the cost of being wrong:** In M&A and asset management, decisions are often binary and the financial consequences of missing a single risk factor are massive. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
4. **On seeing around corners:** Great investors don't just react to news; they anticipate it by connecting disparate pieces of information before the broader market does. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
5. **On managing startup risk:** You mitigate entrepreneurial risk by focusing obsessively on solving a very specific, undeniable pain point for your customer. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
6. **On the illusion of safety:** Relying on the same manual processes that everyone else uses might feel safe, but it guarantees you won't find an edge. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
7. **On information asymmetry:** Historically, the advantage went to whoever had access to the data; today, it goes to whoever can process it the fastest. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*
8. **On pivoting:** "We have to be very much ready to pivot when something changes. That readiness to pivot and the flexibility is perhaps one of the bigger learnings." — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
9. **On taking calculated bets:** Whether investing capital or building a product roadmap, success requires taking informed bets based on the best available intelligence. — [*Source: \[Forbes*](https://forbes.com/?ref=antoinebuteau.com)*\]*
10. **On execution speed:** In dynamic markets, possessing the right data isn't enough if you cannot synthesize and act on it before the window of opportunity closes. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*

## Part 6: Scaling and Leadership

1. **On defining the market:** "This milestone reflects... a broader shift in market intelligence – from fragmented information to end-to-end AI-driven workflows." — [*Source: \[GlobeNewswire*](https://globenewswire.com/?ref=antoinebuteau.com)*\]*
2. **On inevitable outcomes:** "I don't think anybody would be actively looking to go public right now if they didn't have to, but it's something we've always seen as an inevitable outcome." — [*Source: \[Business Insider*](https://businessinsider.com/?ref=antoinebuteau.com)*\]*
3. **On maintaining focus:** As you scale from serving a niche group of analysts to broader corporate strategy teams, the core mission of surfacing truth quickly must remain intact. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
4. **On hiring:** You need people who are comfortable with the ambiguity of building a new category, not just executing an existing playbook. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
5. **On leading through technological shifts:** When generative AI arrived, it wasn't a threat to our business model; it was an accelerant to the vision we had been executing for years. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
6. **On customer retention:** In B2B software, your product has to become an indispensable part of the user's daily routine, or they will eventually churn. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
7. **On capital allocation:** Raising money is a tool to accelerate product development, not a metric of success in itself. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
8. **On organizational agility:** The larger a company gets, the harder leadership must work to preserve the speed of decision-making that made the startup successful. — [*Source: \[Forbes*](https://forbes.com/?ref=antoinebuteau.com)*\]*
9. **On long-term vision:** Building a durable company means looking past short-term market fluctuations and focusing on the compounding value of your technology. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*

## Part 7: The Evolution of Market Intelligence

1. **On the shift in research:** We are moving away from basic keyword searches toward semantic understanding where the system knows what you mean, not just what you type. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
2. **On expert networks:** Accessing transcripts of expert interviews provides qualitative color that raw financial statements often lack. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
3. **On breaking silos:** Corporate strategy teams and investor relations departments are increasingly adopting the rigorous research habits of hedge funds. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
4. **On real-time analysis:** The half-life of financial information is shrinking; intelligence must be delivered in real time to be actionable. — [*Source: \[OTC Markets*](https://otcmarkets.com/?ref=antoinebuteau.com)*\]*
5. **On the democratization of data:** Better search tools level the playing field, allowing smaller firms to conduct the same depth of research as massive institutions. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
6. **On sentiment analysis:** It's no longer enough to know what a CEO said; you need technology to measure the tonal shifts in how they said it over the last four quarters. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
7. **On global coverage:** True market intelligence requires parsing documents in multiple languages and across diverse international regulatory frameworks. — [*Source: \[Forbes*](https://forbes.com/?ref=antoinebuteau.com)*\]*
8. **On the value of historical context:** AI doesn't just synthesize today's news; it can instantly surface historical precedents from a decade ago to contextualize current events. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
9. **On workflow consolidation:** Analysts prefer a single pane of glass where they can find, highlight, annotate, and model data without switching between disparate applications. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*

## Part 8: The Future of Knowledge Work

1. **On the changing role of the analyst:** Analysts will spend less time gathering data and more time synthesizing complex cross-sector trends. — [*Source: \[Morgan Stanley Alumni*](https://morganstanleyalumni.com/?ref=antoinebuteau.com)*\]*
2. **On AI as a copilot:** We view AI not as a replacement for human judgment, but as a hyper-competent research assistant that works alongside you. — [*Source: \[SoftBank Vision Fund*](https://visionfund.com/?ref=antoinebuteau.com)*\]*
3. **On the speed of innovation:** "In a world where AI is moving at a million miles per hour," the winners will be those who figure out how to safely deploy it in enterprise settings. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*
4. **On cognitive augmentation:** The future of work is about freeing up human cognitive capacity to focus on strategic thinking rather than mechanical retrieval. — [*Source: \[Inc. Magazine*](https://inc.com/?ref=antoinebuteau.com)*\]*
5. **On learning curves:** As tools become more conversational, the barrier to entry for performing complex market research will lower significantly. — [*Source: \[The Financial Revolutionist*](https://thefr.com/?ref=antoinebuteau.com)*\]*
6. **On the commoditization of base information:** If everyone has access to the same raw data, the competitive advantage shifts to who has the best interpretive frameworks. — [*Source: \[Capital Allocators Podcast*](https://capitalallocators.com/?ref=antoinebuteau.com)*\]*
7. **On continuous adaptation:** Professionals who learn to prompt and interact with AI effectively will outpace those who stubbornly stick to legacy methods. — [*Source: \[Forbes*](https://forbes.com/?ref=antoinebuteau.com)*\]*
8. **On proactive intelligence:** Systems will eventually transition from answering queries to proactively surfacing anomalies and opportunities before the user asks. — [*Source: \[Montgomery Summit*](https://montgomerysummit.com/?ref=antoinebuteau.com)*\]*
9. **On the ultimate goal:** The end state of this technology is an environment where every business decision is backed by the totality of available global knowledge. — [*Source: \[AlphaSense Blog*](https://alpha-sense.com/?ref=antoinebuteau.com)*\]*