Technologist. Investor. System Builder.

I’m Keith Teare, founder and CEO of SignalRank Corporation, where we’re reimagining how capital flows into venture-backed startups. Our platform is the first to use systematic, machine-learning-based indexing alongside heuristics as features to score and invest in private companies—transforming what was once opaque, illiquid, and relationship-driven into something transparent, accessible, and data-native.

Across my career, I’ve been drawn to first principles and frontier problems. In the early internet era, I co-founded:

• EasyNet — Europe’s first consumer ISP, bringing broadband access to the UK

• RealNames — a pioneering identity and navigation layer for the web

• Archimedes Ventures — a seed-stage investment studio backing transformational ideas

As a founding investor in TechCrunch, I helped founder Mike Arrington catalyze the media engine that defined startup storytelling for a generation. That experience reaffirmed my belief that information flow shapes market behavior—and those who control the architecture of insight have leverage.

At SignalRank, we’ve developed the SignalRank Index—the world’s first index offering exposure to systematically selected, venture-backed private companies and a plan to be listed so retail investors can benefit. It’s a data-driven solution to three entrenched problems in venture capital:

• Access: democratizing entry to top-tier startup investments

• Selection: removing human bias via statistical and ML-based scoring

• Liquidity: enabling exits through public listing and index mechanics

We’ve combined Snowflake-scale data infrastructure, AI-powered decision engines, and financial architecture to build a new asset class. This isn’t just fintech—it’s financial infrastructure for the intelligent era.

Unlike traditional venture capital models—where access is gated by networks, LP status, or fund minimums—SignalRank is engineering a breakthrough in public access. By building an index that not only tracks but also owns the underlying private companies, and listing that index on public markets, we make institutional-quality venture exposure accessible to a wider range of investors.

This is a radical step forward: private market returns, delivered with the liquidity and transparency of public markets. No cap tables. No capital calls. Just intelligent, systematic exposure to innovation.

I frequently speak and write about:

• The application of AI agents in venture capital

• The future of private market infrastructure

• Indexing, automation, and intelligent capital allocation

• Building companies at the convergence of data, venture, and narrative

Whether I’m modeling returns in SQL, helping craft AI models, or debating macro shifts in editorial form, my focus is always on signal over noise, clarity over complexity, and systems over guesswork.

Let’s Connect
I’m always open to conversations with builders, investors, and innovators working on systemic challenges in tech, markets, or AI.
LinkedIn | Twitter | Email | SignalRank

Technologist. Investor. System Builder.

I’m Keith Teare, founder and CEO of SignalRank Corporation, where we’re reimagining how capital flows into venture-backed startups. Our platform is the first to use systematic, machine-learning-based indexing alongside heuristics as features to score and invest in private companies—transforming what was once opaque, illiquid, and relationship-driven into something transparent, accessible, and data-native.

Across my career, I’ve been drawn to first principles and frontier problems. In the early internet era, I co-founded:

• EasyNet — Europe’s first consumer ISP, bringing broadband access to the UK

• RealNames — a pioneering identity and navigation layer for the web

• Archimedes Ventures — a seed-stage investment studio backing transformational ideas

As a founding investor in TechCrunch, I helped founder Mike Arrington catalyze the media engine that defined startup storytelling for a generation. That experience reaffirmed my belief that information flow shapes market behavior—and those who control the architecture of insight have leverage.

At SignalRank, we’ve developed the SignalRank Index—the world’s first index offering exposure to systematically selected, venture-backed private companies and a plan to be listed so retail investors can benefit. It’s a data-driven solution to three entrenched problems in venture capital:

• Access: democratizing entry to top-tier startup investments

• Selection: removing human bias via statistical and ML-based scoring

• Liquidity: enabling exits through public listing and index mechanics

We’ve combined Snowflake-scale data infrastructure, AI-powered decision engines, and financial architecture to build a new asset class. This isn’t just fintech—it’s financial infrastructure for the intelligent era.

Unlike traditional venture capital models—where access is gated by networks, LP status, or fund minimums—SignalRank is engineering a breakthrough in public access. By building an index that not only tracks but also owns the underlying private companies, and listing that index on public markets, we make institutional-quality venture exposure accessible to a wider range of investors.

This is a radical step forward: private market returns, delivered with the liquidity and transparency of public markets. No cap tables. No capital calls. Just intelligent, systematic exposure to innovation.

I frequently speak and write about:

• The application of AI agents in venture capital

• The future of private market infrastructure

• Indexing, automation, and intelligent capital allocation

• Building companies at the convergence of data, venture, and narrative

Whether I’m modeling returns in SQL, helping craft AI models, or debating macro shifts in editorial form, my focus is always on signal over noise, clarity over complexity, and systems over guesswork.

Let’s Connect
I’m always open to conversations with builders, investors, and innovators working on systemic challenges in tech, markets, or AI.
LinkedIn | Twitter | Email | SignalRank