Building the AI
operating system
for institutional capital

At Leopard Labs, we're building the AI OS for institutional capital, partnering with 60 of the world's top hedge funds to turn today's analog processes into tomorrow's autonomous ones. This is how the next generation of investment organizations will think, decide, and operate.

Wealth and Asset Management is undergoing a foundational reset. Manual processes, fragmented systems, and legacy infrastructure are no longer competitive. As capital flows grow more complex and alpha becomes harder to find, the winners will be those who re-platform around intelligence.

AI and digital infrastructure aren't just incremental upgrades: they're a new operating model. Intelligent agents can now automate compliance-heavy workflows, surface actionable insights in real-time, and drive exponential efficiency across front, middle, and back office.

Approach

01 /04

Step One

Design Partner-Led Research

We don’t ship features, we co-develop solutions. We work with a design partner network of 100+ industry professionals across hedge funds, PE firms and family offices. Every prototype is tested in production-like environments to ensure we’re not just building software, but tools that drive real outcomes in real time.

02 /04

Step Two

Workflow Mapping with Precision

We dissect critical workflows across front, middle, and back office - pinpointing friction, compliance burdens, and alpha leakage. This clarity reveals where automation and intelligence can unlock exponential gains. While 80% of private fund managers report rising operational complexity, (Carne Group’s Change 2025 report) and most still rely on outdated, siloed systems.

03 /04

Step Three

Embedded with the World’s Best

We collaborate with 60 of the world’s top asset managers, embedding ourselves in their day-to-day to deeply understand how they work, where value is created, and what’s holding them back. This proximity gives us privileged insight into real problems and the credibility to solve them.

04 /04

Step Four

Business Model Aligned to Client Outcomes

Our model scales with client success. We structure incentives and pricing around the value we help create—whether that’s increased AUM, enhanced efficiency, or reduced risk. And the opportunity is real: institutional investors report an average 10x ROI (McKinsey report) from tech and AI initiatives when properly implemented.

Team

Backed by broad market expertise and a robust distribution network, meet our team of core founders and investors.

Ed Barrow

Co-Founder and CEO

Ed is a serial founder and product builder with 15+ years of experience launching and scaling ventures across Europe and Africa. He co-founded Patch and previously ran marketplace businesses at Rocket Internet, building from zero to scale in fast-moving, high-growth environments.

He started his career on the trading floor, structuring complex fund-linked products for institutional investors. Selling to these clients was a grind - long deal cycles, bespoke requirements like Sharia compliance, capital protection, diversification mandates - every pitch was a custom job.

This led to a conviction that intelligence and automation could transform the way high-touch, complex products are discovered, sold, and delivered.

Later, at McKinsey he advised FTSE 100s on Product, Transformation and Venture.

Selected experience:

Patch Plants

Co-Founder & COO

Rocket Internet SE

UK CEO

McKinsey & Company

VP Product Management

Commerzbank

VP Fund Structuring

BNP Paribas

Equity Derivatives

Lasse Nørby Rasmussen

Founding Product Lead

Startup operator, builder and exit-founder bringing 10+ years of experience building ventures with a background from Rocket Internet, Rainmaking and Deloitte Digital Ventures.

Lasse is an expert in product and venture building, and has built multiple award-winning and industry-defining products across EMEA for millions of users.

Selected experience:

Bifrost Studios

CPO

Diana Semenosa

Founder's Associate

With a background in operations and strategy, Diana brings experience from two of Europe's unicorns - Babylon Health and Tier Mobility.

She began her career at Babylon, where she worked through a period of rapid scale and IPO, and saw how AI could be applied to solve sector-specific challenges. She later joined Tier Mobility, supporting its global expansion.

She combines operational execution in high-velocity environments with a clear understanding of what it takes to grow ventures, now contributing to Leopard Labs' mission to reshape how institutional capital operates.

Selected experience:

TIER Mobility

Associate to the CFO

Babylon Health

Strategy & Partnerships

Fred Russias

Founder Engineer

With a background in product, data, and engineering, Fred has spent over ten years building and running tech startups. As the technical co-founder of Sourcing Playground, he worked with brands like Under Armour and Lacoste to improve sourcing decisions by making sense of fragmented supply chain data.

He's built everything from LLM-powered research agents to large-scale data systems. Comfortable across the stack, he focuses on going from 0 to 1 with a clear understanding of how products get used. He likes to ship fast, iterate faster, and always aims for practical, working solutions powered by automation and AI.

Selected experience: