Early-Stage Companies

Backing
Intelligence.

The book reads founders building data infrastructure. AI, machine learning, and advanced computing are inputs to that reading.

Our Thesis
AI FirstData InfrastructureML OpsFintechComputeAI FirstData InfrastructureML OpsFintechCompute

The
Thesis.

We look for technical founders solving hard problems in infrastructure, at the intersection of massive datasets and advanced computation. Similize®.

Data Infrastructure

Foundational technologies that solve the 'Big Data' problem—from distributed databases to real-time stream processing.

ML Ops & AI

The 'plumbing' of AI: model versioning, feature stores, and automated deployment pipelines that turn research into production.

Fintech

Next-generation financial infrastructure, institutional-grade DeFi, and high-throughput clearing systems.

Compute

Specialized hardware and software stacks that accelerate the training and inference of large-scale models.

Engineering
DNA.

Technical reading is how the book looks at a company. Code review and engineering standards are part of that reading.

Technical Reading

The book reads how a company is built.

Code Review

Deep code reviews and architectural assessments.

Engineering Standards

The standard the systems are built to.

Built by
Engineers.

Former CTOs, lead engineers, and data scientists read the technical hurdles of scaling a company.

Join the
Ecosystem.

We are currently prioritizing technical research and ecosystem partnerships. Connect with our engineering teams to stay informed on our latest initiatives.

Join the Network