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Enterprise & Fortune‑Level Evaluation Pricing

Newton offers structured evaluation tiers for Enterprise, Fortune 500, and Fortune 100 organizations, ranging from $25,000 to $100,000, each designed to validate deterministic governance, auditability, and vertical Knowledge Pack performance before full deployment.

Newton Enterprise Program

Newton offers structured evaluation tiers for Enterprise, Fortune 500, and Fortune 100 organizations, ranging from $25,000 to $100,000, each designed to validate deterministic governance, auditability, and vertical Knowledge Pack performance before full deployment.

Extensive Knowledge                   Packs

Newton PBC offers full‑cycle Custom Knowledge Pack development for organizations requiring governed, domain‑specific intelligence tailored to proprietary workflows, regulated environments, or specialized operational needs. Custom KPs are engineered on top of Newton’s constitutional substrate and built using a structured primitive lattice that ensures deterministic behavior, auditability, and domain‑safe reasoning across all inference pathways.

Each Custom KP is developed through a collaborative process that includes domain analysis, primitive architecture design, governance modeling, compliance alignment, and multi‑signature rule validation. Newton’s engineering team works directly with the client’s subject‑matter experts to encode domain boundaries, procedural logic, risk controls, escalation rules, and vertical‑specific primitives into a sealed, governed structure that cannot drift, reinterpret itself, or silently modify over time.

 Extremely easy installation

Enterprises typically struggle with integrating governance layers, adapters, or middleware into existing AI systems. Most solutions require complex configuration, dependency management, or model‑specific tuning. Newton’s Link Layer (NLL) is the opposite.

NLL is designed for extremely easy installation, allowing enterprises to deploy governed cognition in minutes rather than weeks.

   Go local and safely save a ton

Knowledge Packs allow Newton to run locally, eliminating the need for expensive cloud inference and dramatically reducing operational costs for enterprises and OEMs. Because KPs encode domain logic, boundaries, and primitives directly into the Newton substrate, the system can deliver accurate, deterministic assistance without relying on remote servers or probabilistic model behavior. This architecture not only cuts cloud spending but also ensures that every answer is governed, auditable, and safe — giving organizations predictable AI performance with the reliability and cost efficiency of fully local execution.

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