AI? Agents? Automations? We got you covered!
This report has mapped 235 Data Driven VC firms and 100 thought leaders across the globe to provide the most important insights and tangible steps to become more data-driven.
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Chapter 1
The Why
The venture capital process is outdated - manual, inefficient, and often exclusive at every stage of the value chain. Data-driven approaches are changing that, helping firms of all sizes become more efficient, effective, and inclusive in how they source, evaluate, and support investments.
We are at an inflection point, where leading venture capital funds are pulling away from the rest of the industry by generating more productivity in their teams, gathering more data to predict portfolio performance & how to choose the right investments and reducing bias in capital allocation to gain an advantage and fairness.
Chapter 2
The Past & Evolution
As the industry evolves, firms are increasingly differentiating based on their tech maturity and data capabilities. Data Driven VCs are split into three categories - each representing a step forward in efficiency and effectiveness:
Old-school VCs rely on manual workflows and legacy tools.
Productivity VCs adopt off-the-shelf tools to streamline tasks.
Data Driven VCs go further. These firms develop their own scalable solutions to capture data, automate workflows, and bring the core of their business in-house. This category includes both Augmented VCs, who blend internal tools with human judgment, and Quant VCs, who pursue full automation through algorithms and AI agents.
As the number of engineers grows, so does the sophistication - and competitive edge - of the fund. The future of VC is being built by those who embrace this shift.
Chapter 3
The Status Quo
Venture capital firms are evolving along a clear technological spectrum - defined by how deeply they integrate data and automation into their processes.
We found 235 DDVCs pushing the boundaries of data, automation and AI in VC.
Data Driven VCs are scaling rapidly - with the number of active firms growing from 151 to 235 in just two years. This growth isn’t just about adoption, it’s about impact. Today, 65% of Data Driven VCs rely on internal tools for the majority of their desk work, signaling a shift toward more efficient, automated workflows.
Sourcing is also becoming smarter. A third of these firms now generate over 40% of their deal flow through data tools, reducing noise and surfacing higher-quality opportunities earlier. Perhaps most impressively, even the largest funds - those managing over $5 billion in assets - operate with lean engineering teams of around seven people. It's a testament to how scalable and efficient modern VC infrastructure has become when powered by data and automation.
Find much more about what the leading DDVCs in the space are doing in the report and make sure you are included in the Data Driven VC Landscape 2026.
Chapter 4
The Future
While data-driven practices have taken root, the majority of VC firms are still navigating the early stages of adoption. Most are riding a wave of high expectations sparked by early wins in automation and analytics - but the real shift is only just beginning.
2025 marks a new moment: the year of agents. We're entering an era where autonomous AI agents won’t just support workflows - they’ll actively execute tasks, make decisions, and adapt to dynamic environments. For leading VCs, this represents an opportunity to augment every stage of the value chain - from sourcing and diligence to portfolio support and fund operations.
And yet, we’re still early. Over 99% of DDVCs place themselves before the true “plateau of productivity.” Challenges like data integration, infrastructure maturity, and budget constraints remain - but so does massive upside.
The next 12–24 months will be critical in value generation. Funds that embed AI into their core operations, invest in high-quality data, and build around intelligent agents will unlock new levels of speed, insight, and scalability. These aren’t just productivity gains - they're compounding advantages.
Find our detailed predictions for 2025 and beyond in the report, where we dive into rise and consolidation of Investment Tech, AI Agents & Ownership In Make vs Buy discussion.
Chapter 5
The How
Becoming more data-driven in VC offers a clear edge - but the how matters just as much as the why. That’s why we’ve dedicated an entire chapter to practical guidance: actionable tips, proven insights, and curated tools to help you start - or scale - your journey as a Data Driven VC.
To inspire and guide that journey, we’re also spotlighting the Top 100 thought leaders driving innovation in this space. These are the people challenging legacy thinking, building modern stacks, and leading the charge toward a more efficient, effective, and inclusive future of venture.
Conclusion
The future of venture capital won’t be won by those who talk about AI - it’ll be won by those who build with it.
This report exists to bridge the widening gap between buzz and real impact. Behind the headlines and hype cycles, a new generation of VCs is quietly reshaping the industry. They’re embedding data into every layer of the value chain, replacing instinct with insight, and turning workflows into engines of compounding advantage.
But this shift doesn’t happen by accident. It takes intent, structure, and a willingness to rewire how a firm operates. The leaders featured here are doing just that - combining off-the-shelf tools with proprietary data, building internal platforms, and reshaping their teams to scale smarter, not bigger.
This report is not just a snapshot of where the ecosystem stands - it’s a playbook for where it’s going.
If you’re building the future of VC, you don’t need more noise. You need a roadmap.
Let’s stop guessing. Let’s build intentionally.
Let’s make venture capital as innovative as the founders it backs.
Let's shatter the status quo and propel VC towards a future that's more efficient, effective, and inclusive.
Stay driven,
Andre
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