Neural Inverse
AI
Regulated Software Development, Powered By AI
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Compliance-aware intelligence
AI That Understands Regulated Environments
Neural Inverse AI isn’t a general-purpose coding assistant. It’s purpose-built for regulated development — aware of compliance frameworks, architecture policies, and audit requirements as it generates and reviews code.
Every suggestion runs inside a governed environment — your org’s approved models, security rules, and policy controls are enforced at every step, automatically.
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Security, speed, and auditability
BYOLLM — Your Models, Your Rules
Neural Inverse is model-agnostic by design. Switch between Anthropic, OpenAI, Azure, and Gemini — or enforce a single approved model across your entire organisation. No vendor lock-in. Full governance either way.
Enterprise procurement teams and CISOs can mandate exactly which models engineers are permitted to use, enforced at the org level — not left to individual preference.
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Platform Capabilities

Policy Engine
Enforce custom, non-optional security and compliance rules directly within the developer's workflow.
Risk Dashboard
Gain centralised, real-time visibility into your organisation’s AI development risk posture across every project and team.
Immutable Audit-Trail
Capture a tamper-proof log of all development activity for compliance and forensic analysis.
Role-Based Access
Implement granular permissions to control who can build, test, and deploy regulated software — at the org, project, or individual level.
Live Intelligence
Continuously scan your codebase against live threat data and compliance rules — flagging violations, policy gaps, and vulnerabilities as you write, not after deployment.
Automated Reporting
Instantly generate audit-ready reports mapped directly to your specific compliance frameworks.
Auditor Integration
Provide external auditors secure, read-only access for streamlined, collaborative security reviews.
Secrets Vault
Prevent sensitive credentials, API keys, and secrets from ever reaching an AI model — scanned and intercepted by the Enclave before any LLM context is sent.