Talos operates a multi-asset trading platform designed for institutional buy-side and sell-side firms entering digital assets. The tech stack—Java, Go, C++, Python, Rust, PostgreSQL, gRPC, plus cloud infrastructure on AWS/GCP/Azure—reflects a mature, high-performance trading system. Active hiring skews engineering-heavy (18 roles) with 11 positions posted in the last 30 days, while projects cluster around liquidity provider integration, platform scalability, and commercializing a tokenized treasury product—indicating an engineering-first pivot toward regulatory-compliant institutional settlement.
Talos provides institutional-grade technology and data infrastructure for digital asset trading and portfolio management. The platform consolidates connectivity to exchanges, OTC desks, prime brokers, lenders, and custodians into a single interface, enabling institutions to source liquidity, discover pricing, execute trades, settle, and manage portfolios. Founded in 2018 and based in New York with teams across the United States, United Kingdom, Singapore, and Cyprus, the company employs 51–200 people. Current commercial priorities center on onboarding institutional clients to the trading platform, scaling liquidity provider integrations, and building adoption for a tokenized treasury product.
Talos runs on Java, Go, C++, Python, and Rust for backend systems, React/Angular/Vue/TypeScript for frontend, PostgreSQL for data, gRPC for service communication, and AWS/GCP/Azure for cloud infrastructure. Operational tools include Jira, Terraform, and IAM.
Active projects include onboarding exchanges and liquidity providers onto the platform, building high-performance trading connectivity systems, a backtester tool, refining go-to-market for tokenized treasury products, and improving platform scalability to support institutional client growth.
Talos's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.