TensorOps

TensorOps is an applied machine learning and artificial intelligence studio that works with organizations worldwide to plan, design, train and deploy production-grade AI and ML systems. Its stated purpose is to bridge the gap between AI strategy and execution, taking projects from initial concept through to running systems in production. The firm's work spans applied machine learning, LLM training and fine-tuning, agent-based AI workforce development, rapid prototyping and production ML deployment.

The studio's service line is organized into four offerings: AI Strategy, which helps organizations plan and design AI initiatives aimed at measurable business outcomes; Agent Workforce Development, focused on building agent-based AI workforces; LLM Training and Fine-tuning for client use cases; and Innovation Labs, a rapid prototyping facility for validating and developing AI ideas quickly.

TensorOps reports systems in daily use by more than 200m end users, a 95% success rate in moving validated AI ideas to production, and a time to production of within two months for validated ideas. It works across AdTech, digital publishing, cybersecurity and enterprise, and counts NASDAQ-listed companies and unicorns among its clients.

The company positions itself as a premier AI and data partner, with strategic technology partnerships in place with Google Cloud, AWS and Cloudflare. Its stated focus is on measurable business success and production-grade systems.