Singularity Technologies

Building the future of asset management

We build production-ready execution and risk infrastructure for hedge funds and institutional asset managers, enabling AI-driven trading within robust, regulator-ready guardrails.

What we build

Infrastructure for the AI-native asset manager, from research to execution to risk.

Execution & Order Management Infrastructure

Production-ready execution infrastructure handling order submission, routing, and lifecycle management across multiple venues.

Multi-venue order routing with real-time position tracking and complex order types including spreads and multi-leg strategies.

End-to-end latency monitoring and performance analytics with microstructure-aware execution.

e.g. multi-venue spread execution with automatic hedging when legs fill asynchronously, all flowing through authoritative risk validation.

Authoritative Risk & Governance Layer

Authoritative pre-trade risk system that validates every order before execution. Not post-trade alerts — actual hard gates that block invalid orders.

Multi-dimensional limit enforcement across actor, instrument, venue, and exposure dimensions with policy-driven envelope contracts.

Complete audit trails with standardized metadata for regulatory explainability and compliance review.

e.g. hedge orders validated against signed envelope contracts specifying allowed venues, expiry, and proof of exposure reduction — rejected if invalid.

AI Research Agents Roadmap

Planned: Autonomous agents that scan markets, generate trade ideas, and support macro, equity, and systematic research.

Will integrate with our execution and risk infrastructure to enable AI-driven research workflows.

Human PMs retain control over objectives, mandates, and final decisions.

e.g. agents that propose and backtest new basis trades across futures curves.

Who we serve

Hedge funds

For funds pushing the frontier of systematic and discretionary trading.

Accelerate idea generation, improve execution, and industrialise internal research workflows.

Institutional & real-money

For asset owners and long-only managers who need AI without sacrificing governance.

Focus on transparency, explainability, and policy alignment with long-term mandates.

Our vision

We believe the asset manager of the future is AI-native. Most marginal decisions — what to research, which signals to test, how to route orders, when to rebalance — will be taken by machines.

Humans will define objectives, risk appetite, and constraints. Infrastructure will encode these into systems that are observable, testable, and regulator-ready.

We've built execution and risk infrastructure that processes live orders, and are developing AI models to make autonomous trading decisions on top of this platform.

Singularity Technologies exists to build this infrastructure: technology that makes AI-driven investing robust enough for both hedge funds and real-money institutions.

About Singularity Technologies

Singularity Technologies is an early-stage company focused on the intersection of quantitative finance and generative AI.

Founded by practitioners with experience in fixed income derivatives trading, macro portfolio management, and applied AI. We are building tools that combine institutional-grade risk discipline with modern AI capabilities, so that allocators can move from prototypes to production with confidence.

We build infrastructure for professional asset managers and use our own proprietary trading as a testbed — not as a core business line.

Our architecture has been shaped and reviewed with domain experts in quantitative trading. We build with automated testing, structured threat modeling, and comprehensive documentation — the engineering discipline institutional clients expect.

Our execution and risk infrastructure is operational, processing live proprietary orders on derivatives exchanges with authoritative pre-trade risk validation, multi-venue spread execution, and complete audit trails. Designed as production-ready infrastructure for institutional deployment, we are beginning conversations with institutional partners about collaboration and product direction.

Contact

Interested in this direction or exploring similar problems? We're happy to compare notes and discuss where AI-native infrastructure for trading and investment might go.