Ultra-Fast .NET Libraries for Financial Engineering, RAG & Game AI

Specialized, high-performance compute cores for demanding environments: pricing and risk analytics, semantic search and retrieval, and real-time agent intelligence. All built for extreme throughput, minimal latency, and embedded execution.

Build the Core of Your System with Us

Integrate our battle-tested libraries directly into your architecture for predictable performance and full control. Whether you’re scaling a trading engine, deploying intelligent search, or simulating thousands of agents — we provide the foundational compute bricks.

Performance-Critical .NET Components, Delivered

Principium creates high-performance, embedded .NET libraries for specialized domains. We focus on the core computational challenges, delivering optimized primitives that you integrate directly into your applications.

Our products are not frameworks or services — they are compute engines. Each library is meticulously engineered for maximum throughput, minimal latency, and predictable behavior, giving you the performance edge without sacrificing architectural control.

  • QuantCore.Net: Deterministic pricing, risk, and Monte Carlo simulation for quantitative finance.

  • VectorRAG.Net: Low-latency vector search and retrieval for RAG and semantic applications.

  • GameAI.Net: Real-time AI primitives for utility scoring, behavior trees, and crowd simulation in games.

 

Engineered for Predictable Data Processing

Our libraries treat data and computation as a unified challenge. They are built for scenarios where data volume, processing speed, and memory efficiency are non-negotiable.

Each component provides APIs designed for in-place operations, ArrayPool integration, and SIMD acceleration where possible. This approach minimizes garbage collection pressure and ensures stable latency, whether you’re pricing 100k options in a batch, searching through millions of vector embeddings, or scoring utility for thousands of game agents per frame.

We deliver the deterministic data processing core, so you can focus on your business logic and system architecture.

Designed for Professional Developers

Principium builds tools for engineers who demand performance and precision. Our libraries are trusted by quantitative developers, AI specialists, and game programmers who work with high-stakes, real-time systems.

We foster a community of professional users through clear documentation, realistic performance benchmarks, and direct technical engagement. Our commercial licensing model is built on trust and clarity, ensuring professional support for production use while allowing free evaluation for development and prototyping.

Join developers who choose to build on a foundation of predictable performance.

QuantCore.Net: High-Performance Quantitative Finance

A low-latency .NET library for deterministic pricing, risk analytics, and Monte Carlo simulation. Designed as an embedded compute core for trading systems, risk engines, and research tools.

  • Batch pricing & Greeks for 100k+ instruments

  • Deterministic RNG and antithetic variates

  • Historical VaR/Expected Shortfall with ArrayPool support

  • SIMD-accelerated factor model PnL

NuGet Package

VectorRAG.Net: Embedded Vector Search & RAG

A .NET-native vector database library for high-speed semantic search and Retrieval-Augmented Generation. Enables low-latency, in-process retrieval without external dependencies.

  • Fast ANN search (LSH + exact rerank)

  • Built-in document chunking and metadata filtering

  • Optional hybrid search (vector + BM25)

  • File-based persistence and runtime metrics

NuGet Package

GameAI.Net: Realtime AI for Games & Simulation

High-performance embedded AI primitives for game development. Provides utility scoring, behavior tree execution, and crowd logic optimized for 60 FPS and zero-GC pressure.

  • Ultra-fast Behavior Tree ticking (SoA/Jagged)

  • SIMD batch utility scoring

  • Sparse influence/emotion graph propagation

  • Zero-alloc crowd selection with quotas

NuGet Package

PhiFlow: Incremental Computation Engine for Hierarchical Data

Real-time recalculation of multi-layer models and instant analytics

High-performance embeddable .NET library that eliminates full recomputation of complex hierarchical structures when small subsets of inputs change. Tracks exact cone of influence, recalculates only affected nodes, and maintains indexes for instantaneous analytical queries with zero GC pressure.

  • Incremental cone-of-influence recomputation — interval-based change tracking and cache-efficient propagation only through affected branches of the dependency graph

  • Real-time exact indexes — Fenwick trees for threshold queries, histograms for Top-K aggregations, allocation-free maintenance of running sums and averages

  • Multi-layer dependency modeling — design fixed-width hierarchies with automatic cascading updates when lower layers change

  • Deterministic execution — identical inputs guarantee identical outputs, critical for financial calculations, simulations, and audit requirements

NuGet Package

Build High-Performance Systems, Not Infrastructure

We deliver the complex, performance-critical components so you can focus on your core business logic. Our libraries eliminate the need to build low-level computational engines from scratch, reducing risk and accelerating time-to-market for your quantitative, AI, or game projects.

Integrate our specialized compute cores and move faster, with confidence.