When your organization's knowledge changes, your software remains the same. Someone has to recode it, retest it, revalidate it, and prove to an auditor that it still matches, in every system where the same rule was written down separately.
That knowledge lives in regulations, standards, processes, and people. Software can process information without understanding it, and when experienced staff leave, the expertise leaves with them.
Most AI learns patterns from data. Ours reasons from what your organization actually knows. It produces an answer you can take to an auditor, with the reasoning chain attached. That's proof, not a confidence score.
Reasonics closes that gap. Your knowledge is defined once and shared across the systems that depend on it, instead of being rewritten in each one. Audits become a review, not a reconstruction. And because your experts define that knowledge, every system applies it as they defined it, even after they move on.
Reasonics transforms formal organizational knowledge into verified, executable software, providing the foundation for AI systems that reason, automate, and explain their decisions. Knowledge and rule changes take effect without writing new code. Ask new questions of your organization's knowledge and get answers without waiting on a development cycle.
Request a DemoBuilt for environments where accuracy, accountability, and trust matter
Formal ontologies are foundational to the Reasonics platform, providing a machine-understandable representation of organizational knowledge that our platform uses to generate explainable, trustworthy, and reproducible intelligent software.
AI outputs are traceable to formal organizational knowledge, produced through transparent reasoning, and reproducible under examination. Explainability makes every conclusion understandable, reviewable, and defensible.
Accuracy alone is not enough. The real question is whether this output, in this context, was correct, and whether that can be proven. Formal verification provides that assurance.
Regulatory science, engineering, and other high-consequence disciplines require reproducible reasoning and independently verifiable conclusions. Intelligent systems operating in those environments should be held to the same standard.
TruSpark™ is Reasonics' ontology-to-code compiler platform. It transforms an organization's formal knowledge, the concepts, relationships, constraints, rules, and standards that define how the organization operates — into formally verified, executable software. The logic governing every outcome is the same logic that domain experts formally defined, not approximated, inferred, or learned through statistical prediction. When knowledge changes, the software regenerates automatically. Every conclusion traces back to the knowledge that produced it.
TruSpark operates as a foundational knowledge layer alongside existing systems, including validated platforms, development environments, AI models, and enterprise applications, without requiring those systems to be replaced or revalidated. Existing investments remain in place while a formally verified knowledge foundation is built to keep intelligent systems coherent, consistent, explainable, and aligned with organizational expertise.
Self-hosted. TruSpark runs inside your own infrastructure. There is no cloud component, and your data never leaves your environment. Security and privacy →
Most software asks you to trust its output. Reasonics hands you the evidence instead. When TruSpark reaches a conclusion, it can emit a proof certificate, a record of the reasoning that an independent party can re-check for themselves, without Reasonics involved and without access to our software.
before the software is generated, not after a decision is questioned
a portable certificate in open, published formats
your auditor, your regulator, your customer, using their own tools
an indeterminate verdict and no certificate, rather than an answer it cannot support
That is the difference between a vendor telling you a system is sound and being able to demonstrate it to someone who does not have to believe either of you. See how a proof certificate is produced →
For CROs, pharma sponsors, and medical device organizations where knowledge consistency across trial sites, jurisdictions, and regulatory submissions is not negotiable.
For formal ontologists and researchers ready to see rigorous work cross into production systems — intact, without compromise.
For any environment where outputs carry regulatory, financial, or safety consequences, and where those consequences don't go away when a model is retrained.
Reasonics is working with a select group of founding partners, organizations actively evaluating formal knowledge infrastructure and ready to engage directly during this stage of the platform's development.
Founding partners get hands-on access to the platform, direct engagement with the Reasonics team, and early influence over where the platform goes next. In return, they bring a real problem and an organization that takes the quality of its knowledge seriously.
If that describes your organization, the right next step is a conversation.
Request a Demo