AI / REGTECH
LabelRX
An AI compliance tool that checks product labels against FDA and industry regulatory standards.
- CLIENT
- LabelRX
- INDUSTRY
- AI / RegTech
- STACK
- React · TypeScript · Python · AI/ML · AWS · Meta APIs · LinkedIn APIs
OVERVIEW
The project
LabelRX applies AI to regulatory label review, checking that product labelling meets FDA and industry standards, a process that is otherwise manual, repetitive and unforgiving of small errors. Allzone built the platform and the intelligence layer inside it.
CHALLENGE
What made it difficult
Regulatory label review is exacting work. The rules are detailed, they differ by product category, and a missed requirement has consequences that are commercial as well as legal.
That makes it a poor fit for a system that produces an unexplained verdict. The output has to be traceable to the specific requirement it relates to, so a compliance specialist can verify the finding rather than take it on trust.
WHAT WE DID
The work delivered.
- 01
Compliance platform
The application through which labels are submitted, checked and reviewed against applicable standards.
- 02
AI review layer
Machine learning and language processing applied to label content, structured so findings map back to the requirement behind them.
- 03
Regulatory workflow
Review and resolution workflows designed around how compliance teams actually work through findings.
- 04
External integrations
Integration work across platform APIs, including Meta and LinkedIn interfaces.
ARCHITECTURE
How it fits together
- React + TypeScript application for submission and review
- Python services running the AI and ML review pipeline
- AWS infrastructure for hosting, storage and processing
- Third-party API integrations for connected platform data
TECHNOLOGY
The stack
- React
- TypeScript
- Python
- AI/ML
- AWS
- Meta APIs
- LinkedIn APIs
OUTCOME
What exists now.
A compliance specialist checks an AI finding against the specific requirement behind it, rather than taking a verdict on trust
Label review moves from fully manual to AI-assisted without losing the audit trail regulators expect
The review workflow and the intelligence layer evolve independently, so a model change doesn't force a workflow rebuild
Irshad and his team at AllZone are reliable and skilled professionals. They delivered quality work, communicated clearly, and provided excellent support. Highly recommended and I look forward to working with them again.
NEXT STEP
Tell us what you're building.
Bring us the problem with its real constraints attached. We will tell you what we would build, and what we would not.