TAHO has secured a $3.5 million seed round to advance development of its distributed compute platform, designed to meet the rapidly expanding demands of artificial intelligence and high-performance computing. The company, founded by veterans of Meta, Google, and Snap, is building an infrastructure fabric that unifies cloud resources into a single intelligent environment capable of significantly increasing processing speeds while sharply reducing operating costs.
The Florida-based startup has gained early momentum by positioning its technology as a solution to the growing gap between surging AI workloads and the limitations of traditional compute orchestration systems. The platform decomposes large jobs into smaller tasks, distributes them across available compute resources, and reassembles results in real time. The architecture is engineered to complete compute jobs up to 10 times faster while reducing costs by up to 90%.
The company’s approach stands apart from container-based orchestrators by introducing a federated compute layer with decentralized execution. The system combines machines, clusters, and nodes into one coordinated environment optimized for training, inference, and data movement. TAHO believes this design will play a central role as organizations seek more efficient ways to support the exponential growth in AI compute requirements.
The seed round was led by strategic angel investors and industry insiders who see strong potential in both the company’s technology and its founding team. The newly raised capital will be used to scale hiring and accelerate early customer deployments ahead of broader platform availability in 2026. The company aims to help organizations improve performance and reduce computing costs by leveraging existing cloud and data center environments.
TAHO is headquartered in Venice, Florida, and continues to build out its distributed compute platform while working toward making supercomputing-level performance accessible to companies of all sizes.
KEY QUOTES
“We all see AI workloads are exploding, but infrastructure buildouts cannot keep pace. We started TAHO because the world needs a better way to compute that’s universal, faster and affordable enough for every AI-driven company to grow profitably.”
“Our goal is simple — help everyone get more computing out of the cloud and data centers they already use. We’re building the performance layer that makes AI and complex software run faster, cost less, and easier to manage.”
Todd Smith, CEO and Co Founder of TAHO
“Traditional orchestration frameworks weren’t designed for the demands of modern AI and machine learning at scale. TAHO’s federated architecture unifies machines, clusters, and nodes into a single intelligent compute fabric that optimizes training, inference, and data movement for peak performance and efficiency.”
Michal Ashby, CTO and Co Founder of TAHO
