Sedai
Self-Driving Cloud
Pleasanton, United States · Founded 2018 · $35.0M raised
- Headquarters
- Pleasanton, California
- Employees
- 51–200
- Founded
- 2018
- Business Model
- B2B
- Website
- sedai.io
- Total Funding
- $35.0M
- Last Round
- $20.0M Series B
- Rounds
- 2
About
Sedai is an autonomous cloud management platform that uses patented reinforcement learning to continuously optimize cloud infrastructure for cost, performance, and availability. The platform monitors application behavior patterns and makes gradual, safety-validated changes across Kubernetes, AWS, Azure, GCP, and other cloud environments without requiring engineering intervention. Sedai operates in two modes: Copilot for human-approved recommendations and Autopilot for fully autonomous optimization, with a claimed record of zero production incidents across all autonomous actions. The company has helped enterprise customers achieve 30% reductions in cloud costs and 75% fewer failed customer interactions.
Summary
Sedai is an AI Operations company based in Pleasanton, United States, founded in 2018. It has raised $35.0M in total across 2 rounds.
Tech & App Stack
10 technologies & apps tracked
Create a free account — 10 credits a month to unlock the full tech & app stack, funding history, and valuations.
Sign up to view the funding chart
Create a free account — you'll get 10 credits a month to unlock funding history, valuations, and tech stacks.
Funding History
Unknown
Sign up to see all 2 rounds
Full funding history, per-round amounts, and investor participation.
Similar Companies
AI cloud platform delivering full-stack infrastructure for model training, inference, and deploym...
AI infrastructure company building renewable-powered data centers and cloud compute optimized for...
GPU cloud infrastructure provider purpose-built for AI workloads and high-performance computing
Chinese multinational technology conglomerate operating e-commerce marketplaces, cloud computing,...
ML inference infrastructure for deploying and serving AI models at scale, performantly and cost-e...
Distributed cloud computing platform for AI workloads.