What is paceval.?
paceval. is a mathematical engine and reusable computation layer for executing complex mathematical models with high performance, numerical reliability and full transparency. It enables applications to evaluate explicit formulas and models deterministically across a wide range of platforms, from embedded systems to cloud environments. paceval. works directly on mathematical expressions written in plain text and transforms each expression once into an optimized execution structure. This structure can then be reused efficiently at scale, enabling automatic parallelization, predictable performance and low resource consumption. The engine supports advanced use cases in finance, engineering, statistics, science and data-driven applications, where the same mathematical model must be evaluated reliably and repeatedly. Results are not limited to single numerical values, but can include trusted error intervals, making computations explainable, auditable and suitable for regulated environments.
Beyond classical mathematics, paceval. allows neural networks to be converted into transparent, closed-form mathematical expressions. This enables deterministic and certifiable AI execution on standard hardware, including environments where GPU access is limited or unavailable. With paceval., mathematical models and AI logic become fully explainable, reproducible and deployable across the entire system landscape, from edge devices to mission-critical infrastructure.
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Our 3-minute pitch gives investors, decision-makers and developers a concise summary of how paceval. works and why it matters.
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Why paceval. and why it matters now?
paceval. separates mathematical execution from application logic. You define what needs to be computed and paceval. takes responsibility for executing the mathematics efficiently, deterministically and reliably. This clear separation simplifies system design, improves maintainability and allows mathematical models to evolve independently of application code. paceval. handles precision, parallel execution and numerical robustness, while your software remains focused on domain logic and user value.
As a result, complex and high-volume mathematical workloads scale predictably across platforms, allowing applications to remain simple, maintainable and resilient as requirements grow, without increasing system complexity or operational risk.
This architectural approach has become increasingly relevant as modern systems face rising demands for energy efficiency, regulatory compliance and explainability. In domains ranging from engineering and finance to AI-driven decision systems, mathematical results must be reproducible, auditable and suitable for certification. paceval. addresses these challenges by executing mathematics as reusable, deterministic execution structures.
This enables transparent and energy-efficient computation across platforms, from embedded systems to cloud infrastructure, making mathematical certainty a first-class capability in modern software systems.
Beyond technical correctness and explainability, cost efficiency has become a critical requirement. Many mathematical and AI-driven solutions rely on specialized hardware, high energy consumption, or complex infrastructure, making them difficult to deploy sustainably and at scale. paceval. enables high-performance mathematics and selected AI workloads to run efficiently on standard CPUs, without requiring GPUs or specialized accelerators. This significantly reduces infrastructure costs, energy consumption and operational complexity, making advanced mathematics and explainable AI economically viable across a wide range of applications.
What makes paceval. so powerful?
paceval. combines architectural clarity with computational efficiency, enabling complex mathematics to be executed reliably at scale.
• Fast & flexible development – paceval. allows developers to define complex mathematical models once and evaluate them efficiently across large data sets, significantly reducing development effort and iteration cycles.
• Language- and platform-agnostic integration – although implemented in C++, paceval. provides ready-to-use interfaces for multiple programming languages and runs consistently across platforms, from embedded systems to cloud environments.
• Clear separation of concerns – by decoupling application logic from mathematical execution, paceval. reduces system complexity, improves maintainability and minimizes operational risk over the full lifecycle of an application.
• Deterministic and numerically robust execution – paceval. delivers reproducible results with selectable precision and trusted error intervals, enabling transparent, auditable and reproducible computation, even in regulated and safety-critical environments.
• Minimal footprint with scalable performance – high-precision mathematical workloads scale efficiently from resource-constrained devices to multi-core systems, without relying on specialized hardware.
As a result:
→ new classes of applications become feasible
→ development time and hardware costs are reduced
→ certification, validation and long-term maintenance become significantly easier
With paceval., high-performance mathematics is no longer constrained by hardware limitations, but enabled by a deterministic and reusable execution design.
Designed for real-world complexity and simplicity in implementation
paceval. is designed to handle real-world complexity without increasing system complexity. Its core ambition is to execute the full spectrum of financial, stochastic, engineering, scientific and machine learning models reliably, precisely and efficiently under practical constraints.
To achieve this, paceval. combines a small and portable runtime with a set of fundamental execution capabilities that scale across use cases and environments:
• Deterministic and parallel execution for predictable performance at scale
• High-precision mathematics with trusted numerical bounds
• Support for arbitrarily complex functions and large variable sets
• System- and platform-independent architecture
• Reusable execution structures optimized for repeated evaluation
• Platform-independent architecture running from embedded systems to cloud environments
• Seamless integration with existing software stacks, including low-code and no-code platforms
As a result, paceval.delivers a mathematical execution layer that is both deeply capable and easy to deploy. It fits equally well into enterprise systems, data platforms, edge devices and minimalist applications, without compromising reliability, performance or long-term maintainability.
paceval. delivers measurable impact for developers and decision-makers
By integrating paceval., development teams and product owners gain a reliable execution layer that reduces complexity, shortens development cycles and improves long-term maintainability. Existing products can be enhanced without disruptive rewrites, technical debt is reduced and advanced mathematical and AI-driven features become deployable faster and with greater confidence. paceval. enables organizations to move from experimentation to production-ready systems, even in regulated or resource-constrained environments.
Explore paceval to see how deterministic, transparent mathematics can accelerate your next product or platform.
You can enhance existing products, reduce technical debt and turn bold ideas into deployable features faster and more reliably than ever before. Download the free SDK, explore the documentation or contact us to discuss your use case:
Download free ! paceval-Software Development Kit 4.25 (195 MB)
(Downloads – 8,677 : version 4.25)
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