You will get a custom Enterprise AI Data Privacy & Compliance Engine
Project details
Ensuring data privacy is the single biggest hurdle when implementing AI in the enterprise. Data Guard is a production-ready Python engine designed to automate the identification and strict local sanitization of sensitive information (PII) within your datasets.
Built on a "Zero-Trust" architecture, the engine uses advanced NLP to detect entities like financial data, internal IPs, and crypto wallets, replacing them with secure placeholders locally. Only this anonymized, safe payload is passed to the AI model (GPT-4) to generate structured threat intelligence and risk reports.
Whether you need a local utility for your developers or a secure cloud portal for your compliance team, Data Guard provides a reliable, scalable solution to ensure your AI workflows meet strict global privacy standards (like GDPR and HIPAA).
Built on a "Zero-Trust" architecture, the engine uses advanced NLP to detect entities like financial data, internal IPs, and crypto wallets, replacing them with secure placeholders locally. Only this anonymized, safe payload is passed to the AI model (GPT-4) to generate structured threat intelligence and risk reports.
Whether you need a local utility for your developers or a secure cloud portal for your compliance team, Data Guard provides a reliable, scalable solution to ensure your AI workflows meet strict global privacy standards (like GDPR and HIPAA).
AI Algorithms
Large Language ModelAI Applications
Natural Language GenerationAI Development Language
PythonAI Tools
StreamlitAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$850
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Frequently asked questions
About Jeremy
AI Solution Architect | Rapid MVP & Cursor Specialist
Lat Lum Kaeo, Thailand - 6:31 pm local time
My focus is on Fixed-Price, milestone-based projects. You pay for the completed solution, not my hours. This ensures you get maximum value and a working product while I handle the technical heavy lifting at lightning speed. Let's build your next integration or product today.
Steps for completing your project
After purchasing the project, send requirements so Jeremy can start the project.
Delivery time starts when Jeremy receives requirements from you.
Jeremy works on your project following the steps below.
Revisions may occur after the delivery date.
Security & Compliance Review
I will review your specific privacy requirements, target PII categories, and required compliance frameworks to ensure the engine's logic is perfectly aligned with your goals.
Engine Configuration & Sanitization Logic
I will configure the Python codebase, custom-tuning the local regex engine and prompt architecture to securely identify and mask your proprietary data points.