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Developing a governance layer that makes Gen AI safe, auditable, and enterprise-ready1-10 Employees
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Developing a governance layer that makes Gen AI safe, auditable, and enterprise-ready
Praxno Technologies is developing PraxnoCore, a new architecture for accountable AI. The project began from a simple observation: today’s generative models are powerful but unreliable. They hallucinate, drift, and produce answers no one can verify. That’s unacceptable in high-stakes domains like finance, compliance, law, and medicine, where every output must be explainable, traceable, and provable.

PraxnoCore introduces a governance layer that brings order and accountability to generative AI systems. Instead of replacing existing models, it wraps around them, providing structure, enforcement, and traceability. The goal is to make AI not just intelligent, but responsible, capable of producing outputs that meet defined standards of accuracy and compliance.

After two years of full-time research and design, the architecture, IP, and patent filings are complete, supported by detailed system diagrams and technical specifications. The theoretical foundation draws from cognitive science, systems engineering, and enterprise software design. The next step is to build the first prototype using off-the-shelf technologies and validate it in real-world environments.

Praxno is not a research project; it’s an infrastructure for the next generation of AI systems. A bridge between raw generative power and accountable reasoning. We are now looking for a senior engineer or CTO-level partner who wants to co-architect this platform and lead its technical development. Someone fluent in modern AI stacks who enjoys transforming complex ideas into working systems.

If you care about building technology that organizations can trust, PraxnoCore is where that begins.
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Bill Baensch
Avatar for Bill Baensch
Building PraxnoCore, the accountability layer that makes AI trustworthy and defensible.
Funded over

1 round

Latest round

Pre-Seed (Oct 2025)

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Equity benefits

Remote friendly

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