CB Insights

CB Insights

Technology, Information and Internet

New York, NY 157,391 followers

An AI super analyst for market intelligence, built on our proprietary database of companies and markets.

About us

CB Insights is an AI super analyst for market intelligence. It delivers instant insights that help you bet on the right markets, track competitors, and source the right companies. Our AI super analyst is powerful because it is built on the validated database of companies and markets that CB Insights is famous for. The AI super analyst is available as an API, too. Trusted by the world’s smartest companies, CB Insights is headquartered in New York, NY. Visit www.cbinsights.com to see us in action. We also publish one of the most loved newsletters in tech. Join half a million readers: www.cbinsights.com/newsletter

Website
https://www.cbinsights.com
Industry
Technology, Information and Internet
Company size
201-500 employees
Headquarters
New York, NY
Type
Privately Held
Founded
2009
Specialties
venture capital, M&A, corporate strategy, growth equity, private equity, corporate innovation, private market data, emerging technology, CVC, and corporate development

Locations

Employees at CB Insights

Updates

  • AI in 2024 by the numbers: *$100.4B in AI funding — a record high driven by 13 $1B+ deals. Overall, mega-rounds ($100M+ deals) accounted for 69% of total funding — reflecting the high costs of AI development. *3 in 4 AI deals (74%) remain early-stage as investors look to get in on the ground floor of the AI opportunity. *24% share of AI deals from major industry tech sectors (digital health, fintech, and retail tech) in 2024, down from 38% in 2019. Vertical tech areas are securing a smaller percentage of overall AI deals, suggesting a shift toward AI infra/horizontal applications. *136 M&A exits in Europe, up 7% YoY — cementing a 4-year streak of rising acquisitions among the region’s startups. *32 new AI unicorns in 2024, nearly half of all new unicorns (companies reaching $1B+ valuation). However, AI unicorns are less commercially mature than non-AI unicorns, indicating their valuations are based more on potential than proven business models at this stage. Get the full report including exit trends, top investors, and funding by region in the link below.

  • China’s DeepSeek has put the spotlight on the country's AI development ecosystem. What other companies are drawing attention? See the “AI tigers”: Moonshot AI, Zhipu AI, Baichuan AI, MiniMax, and 01 AI. All 5 have nabbed $1B+ valuations and backing from China’s big tech companies. More details on the landscape in the report linked below.

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  • China’s DeepSeek has got the AI world in a frenzy. The AI company released an open-source reasoning model last week that rivals OpenAI’s o1 model performance. DeepSeek says it trained its base model with limited chips and about $5.6M in computing power — a fraction of the $100M+ US rivals have spent training similar models. That’s upsetting assumptions about what it costs to develop highly performant AI. Cue Silicon Valley drama. In the US, genAI development has raced ahead thanks to billions of dollars in funding. Now some of that spend is in question. OpenAI and Anthropic alone have raised over $30B in funding. Of course, there are lots of questions about DeepSeek and its true training costs. And US developers maintain an advantage in compute and data. They will also likely adopt DeepSeek's engineering advances. But in any case, dropping training costs will further drive down the cost of using these models = more AI everywhere. We’re digging in in today’s newsletter. Sign up at the link below.

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  • Generative AI is the #1 tech priority for corporate strategy teams in the next year. But only 32% of the strategy leaders we surveyed have active genAI deployments at their organizations. The top 3 pain points strategy teams cite as barriers to genAI adoption are: *Security & privacy risks (46%) *Competing internal priorities (42%) *Legal & regulatory considerations (40%) For teams deploying genAI tools, customer service and marketing use cases lead the way. These departments deliver measurable wins, like faster responses and higher engagement rates. This concrete ROI helps organizations build the case for wider adoption. What’s next? While customer-facing departments lead among current deployments, operations departments show the highest level of pilot activity (42% of respondents), with finance (36%) following closely. One financial services executive highlights: “Over the next 12 months, we're going to prioritize regulatory AI. We want to automate compliance checks and generate accurate regulatory reports…[to] reduce the amount of effort that we put into that.” Get the full report below on how leading strategy teams navigate genAI adoption and tactics separating successful implementations from stalled initiatives.

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  • We launch new innovations every month to help our customers bet on the right markets, stay ahead of competitors, and source the right companies. Here are the latest upgrades for your AI super analyst: 📝 We made 8,800 research reports just for you Now, our AI super analyst can turn every research report we write into personal, actionable intelligence just for you. Insights are generated based on your strategy, competitors, and the companies you care about. You’ve never moved faster. 🔎 2x more people data We nearly doubled our people data so you can instantly reach out to key executives, former leaders, and board members. Access work history, emails, and LinkedIn profiles. Available in our web workstation and now in our Browser Analyst. 💡 Your competitors’ business relationships, revealed One simple list to instantly view and track your competitors’ customers and partnerships. It’s a great way to examine their strategy and spot new opportunities for your business. ⚡ Your personalization just got even more powerful Update your personalization settings — like your role and interests — to make our product work smarter for you. ChatCBI, your research and imagination partner, now takes these settings into account when answering your questions, delivering even more insightful responses. Our personal briefing does, too. Learn more here: https://cbi.team/3E2pCsI

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  • We back to the good ol' days? Globally, early-stage venture dealmaking stood out in 2024. The median early-stage deal size hit a record high of $2.1M in 2024, while valuations also rose to a record high of $25M. Investors are packing into early-stage rounds to ride the next major wave of value creation in tech. However, early-stage startups could face a reality check when they try to raise later-stage rounds if they have yet to prove they can sustain growth. Although mid- and late-stage deal valuations rebounded slightly vs. 2023, they remain muted compared to 2021 and 2022.

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  • Looking back on 2024, one of the biggest trends that stands out is the explosion of the AI-powered coding assistant scene. Startups in the space that have raised massive rounds include: *poolside($626M in total equity funding) *Magic ($456M) *Augment Code ($252M) *Codeium ($240M) *Cognition ($196M) *Cursor ($173M) That’s alongside products from big tech like Microsoft’s GitHub Copilot, Meta’s open-source Code Llama, and Amazon’s CodeWhisperer. Companies like Cognition and Magic are aiming for not only assistants that can suggest code snippets, but also true coding agents that can replace the work of human engineers. The opportunity has catapulted valuations in the space.

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  • Corporate strategy unlocked: We surveyed 50 corporate strategy leaders to identify the challenges they face in driving influence across their organizations. One of their biggest pain points? 60% of teams don’t have clearly defined KPIs to measure success or tie their efforts to concrete results. The other most persistent challenges are: 1) getting alignment across the org (54%) 2) data issues, such as inaccurate or unavailable datasets (40%) The most influential corporate strategy teams that overcame these obstacles have some key tactics in common. Get them below in the free report.

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  • Digital health in 2024 by the numbers: *23% drop in digital health deal count YoY. Regionally, Europe saw the sharpest drop in deals (-29%). *$5.3M median digital health deal size — a record high. Investors are “flying to quality,” emphasizing clinical validation, commercial traction, and regulatory readiness. *42% of funding goes to AI-focused companies, also a record high. *50% YoY increase in mega-rounds ($100M+ deals). Most top deals (7 out of 10) went to US-based companies. Get the full report, including exit trends, top investors, and funding by region, in the comments.

  • The race to build industrial AI copilots & agents is heating up. New CB Insights data shows while 90% of companies in the space are focused on copilots today, these assistive tools are laying the groundwork for fully autonomous agents that could manage entire industrial processes. Key findings from our industrial AI agents & copilots market map: *Manufacturing leads adoption, with optimization and digital work instructions as key use cases *75% of deals go to early-stage startups, signaling major development ahead *Big tech's influence: Microsoft has partnered with 14 public companies on the map Looking ahead: As copilots evolve into agents, human roles will shift from operational tasks to strategic oversight.

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Funding

CB Insights 3 total rounds

Last Round

Series A

US$ 10.0M

See more info on crunchbase