Quantitative Technology Consulting for Modern Markets

We combine rigorous mathematical analysis with production-grade software to deliver reliable systems, predictive models, and exceptional user experiences.

Evidence-led. Engineering-first. Outcome-focused.

Discover Our Solutions

Capabilities

Quantitative Research & Modelling

End-to-end quantitative analysis for finance: signal discovery, feature engineering, backtesting, and robust statistical validation.

Advanced Engineering (C# & Frontend)

High-performance C# services and modern web frontends. We design for correctness, observability, and maintainability.

ITIL & Delivery Excellence

Service design and operations aligned to ITIL. Practical programme/project management and risk control for dependable releases.

Product and UI Design

From product strategy to interaction design: clear journeys, clear value. We ship interfaces that people trust and enjoy.

Data Engineering & Pipelines

Reliable data ingestion and feature pipelines with versioning, quality checks, and lineage—built to minimise leakage and drift.

Architecture & Performance Engineering

Systems design for throughput and latency. Profiling, capacity planning, and performance budgets embedded into delivery.

Observability & SRE

First-class metrics, tracing, and actionable logs. SLOs and error budgets that translate reliability into concrete decisions.

Core Mathematical Domains

Vector calculus, differential equations, linear algebra, and Fourier analysis—the toolkit behind rigorous models and reliable systems.

How We Work

Evidence-led. Engineering-first. Outcome-focused. Explore our approach to rigorous research, production observability, and reliability under real-world constraints.

See our approach

About The 1.21 Initiative

We are a quantitative technology consultancy. We deliver systems that behave reliably under real-world constraints by blending a first-principles, scientific mindset with deep, language-level engineering expertise.

Our work spans signal discovery and model validation through to high-performance C# services and modern frontends—all designed for correctness, observability, and long-term maintainability.

Led by Kevin Thomas, our approach is uniquely informed by two disciplines: the rigorous modeling of complex systems from his Nanotechnology studies (PGDip, University of Oxford), and the systems-level expertise gained from helping develop the C# programming language itself, where he contributed to features from object disposal to record types.

Connect with Kevin on LinkedIn
View the full professional profile, background and recommendations on LinkedIn.

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Tell us about your objectives across research, engineering, or delivery. We’ll propose a pragmatic plan with measurable milestones.