ID Privacy provides a privacy-first AI-as-a-Service platform that enables businesses to deploy custom fine-tuned large language models (LLMs) while ensuring sensitive data remains encrypted and secure. Their technology addresses the challenge of integrating AI solutions across various industries without compromising data privacy or compliance with regulations like GDPR and HIPAA.
Funding
$250K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle to adopt and deploy custom large language models (LLMs) due to concerns about exposing sensitive data and complying with data privacy regulations like GDPR and HIPAA. Traditional AI solutions often require sharing data with third-party platforms, creating risks of data breaches and compliance violations.
Solution
ID Privacy AI offers a privacy-first AI-as-a-Service platform that enables businesses to deploy custom fine-tuned LLMs while ensuring sensitive data remains encrypted and secure. The platform utilizes a custom-built AI infrastructure with NLP layers and an intelligent crawling system for rapid deployment across industries. Data is secured through an Extract-Encrypt-Load (EEL) process, integrating seamlessly with data sources like Snowflake, BigQuery, and Redshift to build intelligent knowledge bases. This approach allows organizations to leverage the power of AI without compromising data privacy or control.
Target Audience
ID Privacy AI targets organizations across various industries, including healthcare, finance, legal, automotive, advertising, and government, that require secure and compliant AI solutions.
Features
- Custom LLM solutions fine-tuned for specific industries and use cases, ensuring domain-specific knowledge and quicker deployment.
- Military-grade encryption layer to ensure sensitive data is never exposed or used within the model itself.
- Extract, Encrypt, and Load (EEL) process for secure data integration from various sources.
- ALICE, an intelligent conversational AI model with simulated self-awareness and advanced human-like interaction capabilities.
- Ability to build private AI models in minutes with end-to-end encryption and on-premise or in-cloud deployment options.
- Scalable AI platform capable of ingesting and processing large datasets quickly, creating custom bespoke models and knowledge bases.
- Integration with data platforms like Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics.