Ostrich AI provides a secure platform for enterprise AI and machine learning projects, utilizing privacy-preserving machine learning and a secured data-sharing protocol to ensure compliance and data integrity. The platform enables organizations to efficiently deploy AI models at a significantly reduced cost, achieving up to 60% savings on cloud infrastructure while facilitating collaboration among data scientists.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face challenges in deploying AI and machine learning models due to high cloud infrastructure costs, data security concerns, and difficulties in secure data sharing and collaboration. Traditional AI development often lacks transparency and auditability, hindering compliance with data governance regulations.
Solution
Ostrich AI offers a secure AI platform that reduces cloud infrastructure costs by up to 60% while ensuring data privacy and compliance. The platform facilitates secure data-set sharing, enabling collaboration among data scientists without compromising data integrity. Ostrich AI provides access to affordable GPUs, starting at $0.02/hr, and supports privacy-preserving machine learning (PPML) to meet transparency and auditability standards.
Target Audience
The primary target audience includes enterprises looking to optimize AI/ML infrastructure costs, ensure data security, and foster collaboration among data scientists, as well as data scientists seeking to solve enterprise problem statements.
Features
- Secured data-set sharing protocol for compliant collaboration on enterprise problem statements
- Unbeatable cloud pricing for AI/ML inference at scale, starting at $0.02/hr
- Privacy-preserving machine learning (PPML) to ensure data security and governance
- Enterprise datathons and competitions to connect companies with data scientists
- Integrated IDE for data curation, analytics, and reporting
- Patent-pending solution for efficient, secured, and accessible AI/ML practice
- GDPR compliance and DPIIT (Startup India) certification