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- AI Model Packaging & IP Protection for Drug Discovery Company
AI Model Packaging & IP Protection for Drug Discovery Company
Secure, cross-platform delivery of proprietary ML models with full IP protection
Faster packaging process
IP protection of proprietary AI models
Our team developed a toolkit to combine trained AI/ML models, inference code, and runtime into an independent obfuscated executable.
Check TestimonialBiotech
Industry
Poland
Location
Secure ML model delivery, IP protection, ML obfuscation, Dockerized AI
Services
$50,000 to $199,999
Budget
The most impressive and unique about this company was their exceptional commitment to customer satisfaction.

Serge H
Head of Partnerships of Software Development CompanyA biotech enterprise needed a secure, standardized way to distribute machine learning models to their clients — without exposing proprietary source code, model weights, or internal processing logic.
See what we can do for youSolution
We rebuilt the entire packaging pipeline into a modular, secure, and portable system for black-box AI model delivery. The solution allows the client to distribute encrypted, obfuscated, and fully containerized ML models with flexible execution options.
Let’s talk about what’s possible
To deliver a encrypted, obfuscated, and fully containerized ML models, Blackthorn AI applied:

Project duration
01-03 Weeks
Migrated legacy 2-file system into modular OOP structure. Added linters, formatters (pylint, mypy, bandit, black) for long-term maintainability. Structured codebase for future extensibility.
04-06 Weeks
Built CLI around Pipeline–Action design pattern. Added YAML configuration support. Developed internal state-sharing mechanism for pipeline steps.
07-09 Weeks
Integrated PyArmor and Nuitka into pipeline with configurable toggles. Designed file encryption as reusable pipeline step with backward compatibility.
09-10 Weeks
Enabled Docker-in-Docker support for cross-platform compilation (macOS, Linux, Windows). Addressed previous limitations of Linux-only builds.
11-12 Weeks
Built unit, integration, and end-to-end test suites. Achieved 90%+ coverage. Delivered stable MVP for internal rollout and team onboarding.
Team Size




Delivering Impact
Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart
Book a Meeting100%
IP protection of proprietary AI modelsAll model packaging workflows were redesigned to ensure zero exposure of company background IP, including pre-processing scripts, proprietary architectures, and internal logic.
3×
Faster model packaging processTime required to prepare and secure each model for client delivery was reduced by over 65%, dropping from multiple days to just a few hours per model.
>90%
Test coverage across execution FlowIntegration, unit, and e2e tests were implemented across all key steps (obfuscation, encryption, Dockerization). This allowed safe scaling and updates without regressions.