Concertio provides AI-powered performance optimization tools that utilize autonomous software agents for real-time dynamic and static optimization of hardware and software systems. This technology enhances compute system performance by continuously monitoring and adjusting system settings to meet the demands of various applications, particularly in cloud data centers and IoT environments.
Funding
$4.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CODVPARDFounders
Product
Problem
Modern computing systems face increasing demands for performance and efficiency, particularly in data centers and IoT environments. Optimizing these systems requires continuous monitoring and adjustment of numerous hardware and software settings, a task that is often complex and time-consuming. Traditional methods struggle to adapt to dynamic workloads and can lead to suboptimal performance, increased costs, and wasted resources.
Solution
Synopsys Optimizer provides an AI-powered autonomous optimization platform that dynamically and statically tunes hardware and software systems in real-time. The platform consists of Optimizer Runtime, an AI-driven software agent that automatically adjusts system settings based on the current workload, and Optimizer Studio, a static optimization tool for production and staging environments. By continuously monitoring the interactions between applications and the underlying system, Optimizer identifies and implements optimal configurations to improve performance, reduce costs, and enhance reliability. This comprehensive approach to system optimization covers reliability, resiliency, and security, making it a key component of the Synopsys Silicon Lifecycle Management (SLM) family.
Target Audience
The primary target audience includes professionals in cloud-based data centers, automotive, and industrial IoT sectors seeking to improve compute system performance and efficiency.
Features
- Optimizer Runtime dynamically tunes system settings in real-time using AI-powered software agents.
- Optimizer Studio provides a collaborative full-stack optimization platform for static optimization in production and staging environments.
- Supports full-stack application optimization, benchmarking, cloud cost optimization, and design space exploration.
- Employs machine learning techniques, such as reinforcement learning and evolutionary algorithms, for fast search in the options space.
- Includes an experimentation workflow methodology and a collaborative experiment management system (Conductor) with documentation and reporting.
- Offers advanced algorithms for parameter search, sensitivity analysis, invalid configuration exploration, and configuration refinement.
- Provides Continuous Optimization (CO) via an API for integration with CI/CD and APM tools.
- Includes out-of-the-box plugins with thousands of prebuilt full-stack knob definitions for compiler flags, operating systems, CPUs, databases, and runtimes.