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.
Coverage
Four regimes, one engine. Pick the one you have to answer to \u2014 the scan is the same, the clauses it cites are not.
OWASP Top 10:2025 / CWE
The January 2026 OWASP list, tuned for code a model wrote. Four lanes in one pass, correlated: source patterns, row-level security replayed from your migrations, dependency manifest against its lockfile, and an optional read-only check of your deployed backend.
India — DPDP Act + Rules 2025
Data fiduciary obligations: Sec 8(5) and Rule 6 reasonable security safeguards, Rule 6 log retention, Sec 8(7) erasure, Sec 9 children’s data and the age-18 bar, Sec 16 cross-border transfer, and personal data reaching logs.
European Union
Art 32 security of processing, Art 5 lawful basis and minimisation, Arts 15–22 data-subject rights and the one-month clock, Art 30 records, Arts 33–34 breach notification, Art 35 DPIA triggers, Chapter V transfers.
US health / PHI
§164.312 technical safeguards — access control, transmission encryption, audit controls — plus Business Associate Agreements, minimum necessary, Safe Harbor de-identification, and breach notification.
Every finding carries its CWE id and its OWASP 2025 category, so it reconciles against whatever scanner your team already runs. Coverage spans JavaScript, TypeScript, Python, Java, Go, Ruby, PHP, C#, and SQL migrations.
A finding is reported only where the evidence is on a cited line. Absence of a finding is not proof of absence of risk \u2014 every report states its own scope, exclusions and limits.
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 finds hardcoded keys, injection sinks, missing database access policies and hallucinated dependencies \u2014 filters out the false positives, writes 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 →