Concertio, a NYC-based provider of AI-powered performance optimization software, raised $4.2M in seed funding.
The round was led by Differential Ventures.
The company intends to use the funds to scale operations of its AIOps Optimizer platform and to further its technology lead in dynamic, continuous, and static optimization.
Led by Dr. Tomer Morad, co-founder and CEO, Concertio is a provider of AI-powered system performance optimization tools from the lab to deployment. Its patented Optimizer increase performance by tailoring the many system and application settings to work in concert with the currently running workloads, all automatically, continuously and in real-time. Its Optimizer products are used in a variety of use-cases, including maximizing system performance, reducing IT and cloud costs, Kubernetes resource optimization, minimizing latencies in high-frequency trading platforms, compiler flag mining, database optimization, optimization of CPU and ASIC products’ defaults, maximizing networking bandwidth, maximizing benchmark performance and more. They deliver support for configuration parameters in numerous platforms, including Intel CPUs, Linux, Kubernetes, OpenMPI, Hadoop, MongoDB, MySQL, PostgreSQL, Redis, Java, PHP, NGNIX, Apache Web Server, HHVM, Mellanox NICs, GCC flags, LLVM flags, and more.
Concertio features three modes of optimization: agent-based dynamic real-time optimization for use in production servers, continuous optimization where static optimization is implemented within the CI/CD pipeline, and static optimization for use by hardcore performance engineers and IT professionals.