OptimalNets
Optimize Network Performance for AI Workloads
StartupOptimalNets is a Modi'in-Maccabim-Re'ut-based startup in the Business Software sector, established in 2024. Optimize Network Performance for AI Workloads . The company has raised a total of $400K across 1 funding round, currently at the Pre-Funding stage. OptimalNets was founded by lior friedman. The company has 1-10 employees. Core technologies: Artificial Intelligence, Communications.
With $400K in total funding, OptimalNets is a Pre-Funding-stage company operating in Business Software. The company follows a B2B business model. Product stage: R&D. The company holds 1 patent.
- StagePre-Funding
- ProductR&D
- ModelB2B
- Employees1-10
- HQModi'in-Maccabim-Re'ut
- DistrictCenter District
- Last Round$400K
lior friedmanFounder & CEO
What does OptimalNets do?
OptimalNets develops an AI-driven platform that optimizes network performance in real-time by addressing dynamic traffic patterns and user-defined targets. Focusing on the AI training infrastructure market, the platform mitigates network bottlenecks that can reduce AI cluster performance by up to 40%, significantly impacting efficiency and revenue for cloud providers, hyperscalers, and on-premises AI data centers. The company’s flagship product, ON.AI, enhances operational performance and has received pre-seed funding from the Israel Innovation Authority.
How much funding has OptimalNets raised?
OptimalNets has raised $400K in total funding across 1 rounds. The company is currently at the Pre-Funding stage.
Who founded OptimalNets?
OptimalNets was founded in 2024 by lior friedman (Founder & CEO).
What sector is OptimalNets in?
OptimalNets operates in Business Software, IT, R&D & Data Solutions, IT & Network Management, with core technologies in Artificial Intelligence, Communications. Target customers: Government & City, Healthcare & Life Sciences, Communication Services, Defense, Safety & Security.
Where is OptimalNets located?
OptimalNets is based in Modi'in-Maccabim-Re'ut, Israel, Center District.