SERVICES
About
INFORISK, established in 2006, is a technology and financial engineering company specializing in next-generation solutions for proprietary trading desks, hedge funds, asset managers, investment banks, and DeFi platforms.
Research
At INFORISK, our decades of research efforts center on the latest advancements in AI and ML, focusing on their applications in DeFi, financial engineering, and trading applications. We actively integrate state-of-the-art algorithms, models, and methodologies to deliver effective solutions for our clients.
Products
We offer a suite of products available via WebSocket and gRPC API: Advanced Options Analytics, Volatility Forecasts, Blockchain Analytics, and AI agents powered by our analytics to provide actionable trade signals and alerts. Our architecture is cloud-agnostic and deployable to your infrastructure across major cloud providers or on commodity hardware. When deployed within your infrastructure, your data remains entirely local and never reaches our servers.
Technology
We build our core production systems in Rust, a systems programming language proven in strong memory safety guarantees, zero-cost abstractions, and concurrency. Rust enables us to deliver secure, high-performance applications with predictable performance critical in financial and trading tasks. To handle compute-intensive workloads, we’ve parallelized execution on SIMD CPUs and GPUs, significantly boosting throughput for real-time data processing.
Consulting
Our consulting services support product integration, software architecture design, and development efforts. We specialize in Systematic Trading, DeFi, and AI. Based in NYC, we offer flexible full-time or part-time engagement, on-site or remote, across the U.S. and internationally.
Experience
Our expertise is built on over thirty years of experience across major capital markets institutions, hedge funds, big tech, cryptocurrency trading, fintech, and DeFi firms, complemented by years of research at leading universities and research centers.
ANALYTICS
Our models combine neural networks with traditional methods and integrate blockchain data. Our option analytics incorporate crypto-native discounting and the fat tails in cryptocurrency returns. Unlike Black-Scholes, which assumes constant volatility and rates, our approach captures real-world dependencies between asset returns and volatility—essential for accurate pricing in crypto markets.
CORE TEAM
CONTACT
