Problem

Most organizations face challenges while developing an artificial intelligence use case due to a lack of collaborative platforms. According to IDC in 2021, 28% of AI/Machine Learning projects fail while about 47% of projects fail to transition from experimental to production phases. This leads to a dearth of successful and proven AI/ML based platforms and tools that can be easily integrated into current business systems.

Solution

CogniTensor has created DeepOptics - an integrated MLOps environment that provides faster development, and deployment to power AI/ML applications. CogniTensor is building a modern DevOps stack for AI to solve Data to ML model versioning through an integrated Machine Learning environment.

Differentiator

• Time-to-Market and Cost-to-Market
• Enterprise Grade - Fault Tolerant Cloud Agnostic Solution
• The modern DevOps stack required for AI application development
• Domain expertise in building Energy and Manufacturing AI applications

Biggest Achievements

• Recognized by Harvard Club of India and was the first start-up chosen for their accelerator program
• Member of WHO-ITU committee for setting AI standards
• CogniTensor Co-founder & CTO Ashish Airon was awarded Forbes 30 Under 30 Asia in April, 2020