Over 45% of software is now AI-generated, introducing critical vulnerabilities by default. We build airgapped on-device security models that scan, verify, and auto-fix code vulnerabilities directly on your local machine with zero external network egress.
Our Core Vision
Uploading confidential source code and environment secrets to cloud AI creates severe compliance breaches under the DPDP Act, HIPAA, and GDPR. We build local on-device AI engines that detect vulnerabilities, filter false positives, and write compiler-verified pull requests right on your developer workstation.
Runs entirely on Apple Silicon Metal GPUs. Zero bytes of proprietary code, environment keys, or user telemetry ever leave the physical machine.
Replaces passive alert lists with verified AST code repairs. Every patch is validated through local syntax gates and committed to an isolated branch.
Seamlessly connects to Claude Code, Cursor, and Replit via the Model Context Protocol to audit and fix code conversationally.
Flagship Product
The airgapped AI security auditor and autonomous code remediator for regulated engineering teams.
Nadhi Audit combines sub-20ms static AST scanning with a fine-tuned 4B security model on Apple Silicon Metal GPU. It filters out false positives, creates verified patches, and opens clean pull requests with DCO sign-offs.
Production Validation
Autonomously audited and remediated TLS certificate verification (CWE-295) and credential handling (CWE-798). Merged into main by Medplum CTO.
View Pull Request #10198 on GitHub →Eliminated critical Protected Health Information (PHI) log leaks (CWE-532), safeguarding laboratory systems across 25+ countries and 250+ hospitals.
View Pull Request #4045 on GitHub →R&D and Scientific Innovations
Beyond security auditing, our laboratory develops frontier on-device AI architectures for clinical diagnostics and autonomous scientific research.
Multimodal 12-lead ECG waveform interpretation and clinical decision support powered by parameter-efficient LoRA fine-tuning, operating 100% offline on hospital clinic workstations.
Explore in Research Overview →Desktop multi-agent research co-pilot that downloads open literature, runs local RAG indices, validates empirical hypotheses, and writes format-preserved manuscript edits.
Explore in Research Overview →