Model the system
Use mathematical and physical structure to inform computation and inference.
Intelligence from first principles
PHYSICS-FIRSTINTELLIGENCE.
AI compute. Quantitative research. Real-world systems.
Neural Derivatives develops AI and quantitative technology across compute intelligence, financial markets, and advanced computational research—connecting physics-informed methods with practical software and infrastructure.
PHYSICS-INFORMED AI · QUANTITATIVE RESEARCH · COMPUTE INTELLIGENCE
COMPUTE · MODEL · OPTIMIZE
FROM PHYSICS TO INTELLIGENCE
PHYSICS-FIRST AIModels informed by physical structure
QUANTITATIVE RESEARCHResearch systems for complex markets
COMPUTE INTELLIGENCEVisibility into compute performance
ENERGY AWARENESSEfficiency as a system-level concern
Our thesis
Build intelligence
from first principles.
We believe the next generation of intelligent systems should be designed with a deeper understanding of the systems they operate in. Neural Derivatives brings together physics-informed AI, quantitative methods, computational research, and infrastructure intelligence to build tools for complex real-world environments.
Measure the compute
Make performance, utilization, and efficiency more observable.
Research & engineering
One foundation.
Multiple applications.
Our work spans research-led software and technology for financial markets, AI infrastructure, and computational systems. Each area is developed with its own practical requirements and validation standards.
01 / AI & COMPUTATION
Physics-informed AI
Explore AI methods informed by mathematical structure, physical constraints, computational modelling, and optimization.
02 / QUANTITATIVE FINANCE
Quantitative research systems
Build research technology, financial analytics, alternative-data workflows, and tools for systematic market analysis.
03 / INFRASTRUCTURE
Compute intelligence
Develop software and analytics for understanding compute workloads, infrastructure performance, utilization, and efficiency.
Technology platforms
From research
to operational systems.
Neural Derivatives is building a connected portfolio of research and software capabilities. Platform names below describe areas of development and product direction; specific availability depends on the product.
IQIP™Institutional Quantitative Investment Platform
IADP™Institutional Alternative Data Platform
COIN™Compute Observability & Intelligence Platform
Q-ClusterCompute, energy, trading, and risk workflows
Quantitative ResearchResearch systems and market analytics
AI InfrastructureCompute intelligence and optimization
Development direction
Research with a
practical trajectory.
We organize our work around applied technology areas that can evolve from research and prototypes into robust software products and infrastructure.
01 / CURRENT APPLICATIONS
Quantitative technology
Research and analytics for financial markets, alternative data, systematic strategies, and index-related applications.
02 / PLATFORM DEVELOPMENT
AI & compute intelligence
Software for compute observability, workload analysis, performance, and infrastructure-aware decision support.
03 / LONGER-TERM RESEARCH
Physics-first systems
Continued exploration of physics-informed AI, computational modelling, optimization, and energy-aware intelligence.
About Neural Derivatives
Technology for
complex systems.
Neural Derivatives is an AI and quantitative technology company focused on research-led software, computational intelligence, and infrastructure. We work across ideas that connect models, data, compute, and real-world decision systems.
01 — First principles
Start with the structure of the problem, not only the pattern in the data.
02 — Engineering discipline
Build for measurable performance, reliability, and practical integration.
03 — Applied research
Translate advanced methods into usable research workflows, software, and technology products.
Build the next layer of intelligence.
For research, technology, and business enquiries, contact Neural Derivatives.