How the world will work
depends on software.

We partner with founders who see that future.

Singularly investing in software to power business.

Every industry will be transformed by software.

Tola Capital has been part of the software revolution for decades and have deep, operational perspective on how it will continue to transform business. We practice hypothesis-based investing and are particularly focused on companies having an impact in the following areas: Domain-specific Foundation Models, AI/ML Tooling, AI SaaS Applications, AI Compliance and Governance, AI Security Tools and Enterprise of the future.

Our Principles

Product focused

Working closely with our companies on their product roadmaps to realize the highest returns over time.

Hypothesis-based strategy

Identifying needs and solutions that drive transformational change in large markets.

Long-term

A structure and approach that enables us to invest in companies for the long haul.

Selective investing

Building value and creating relationships with founders that last.

Investing locally and globally

Unconstrained by location, investing in great companies all over the world.

A Successful History

Tola is the biggest venture fund in Seattle that you may not have heard of.

For over a decade we’ve been heads down, investing in great founders, helping enterprise software companies become category leaders, and generating great returns for our investors.
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Investing in founders with a vision for technology at work.

Tola Capital Magnet attracts a distinguished community of people, ideas and resources in enterprise and AI software.

OUR NETWORK

Investing in founders with a vision for technology at work.

"I loved working with Tola. Fantastic people, great network, always available. We couldn't have asked for more in an investor.”
– Alexander Dreiling, CEO and Co-Founder
clipchamp
“It was clear from our first meeting that Tola Capital did things differently and would bring deep perspective and engagement as investors. The team has identified ways to unlock specific growth levers for our business, and they continue to prove their ability to be value-add investors by making intros to potential customers, employees and contractors.”
– Andrew Antos, CEO and Co-Founder
KLARITY
“Building a large-scale, global technology company with constant innovation at its core is a marathon. Every next level is a risk and you need advice on industry context, organizational change management, as well as strong networks. Tola played this role for hybris and for me as an entrepreneur.”
– Carsten Thoma, President and Co-FounderTITLE
hybris
“The entire team at Tola are super smart, supportive, and amazingly well connected. When you get access to the network, it is a game changer.”
– Sean McCreanor, CEO and Co-Founder
Assignar
See our portfolio

Diversity at Tola

We live our value of diversity every day.

Diverse thinking

We value teams that embrace diversity and want to build inclusive cultures.

Diverse experience

Our team has different experiences and perspectives that inform how we view the world, markets, and opportunities.

Diverse success

We believe in the business value of diversity and raise the bar on ourselves – and our partners – in measures beyond ROI.

Diverse network

Our network brings a broader pool of the right talent to our portfolio companies.

Our Team

We invest as a team, bringing together our collective experiences and insights to identify opportunities and partner with our companies.

meet our team

News & Announcements

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Scaling Security in the Enterprise with AI

October 17, 2024

AI is revolutionizing enterprise security tasks like alert triage, information retrieval, and ongoing process monitoring; and how teams are using AI to free up security analysts to focus on critical, more strategic, and high-value activities.

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Reliant’s paper-scouring AI takes on science’s data drudgery

August 20, 2024

TechCrunch: AI models have proven capable of many things, but what tasks do we actually want them doing? Preferably drudgery — and there’s plenty of that in research and academia. Reliant hopes to specialize in the kind of time-consuming data extraction work that’s currently a specialty of tired grad students and interns.

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