JECO provides a cross‑platform SDK that instruments applications at runtime to detect and automatically optimize CPU, GPU, memory, network, and disk bottlenecks. The SDK streams telemetry to a secure cloud service, enabling real‑time energy and performance dashboards and API integration for DevOps and sustainability workflows.
Funding
$1.3M 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.
Founders
Product
Problem
Software applications often suffer from hidden performance bottlenecks in CPU, GPU, memory, network, and disk subsystems, requiring developers to spend extensive time manually profiling and tuning code. These inefficiencies increase server costs, shorten battery life on client devices, and contribute to higher energy consumption and carbon emissions.
Solution
JECO offers an SDK that instruments applications at runtime, automatically detects resource‑intensive code paths, and applies corrective optimizations without developer intervention. The plug‑and‑play library works across operating systems and device types, eliminating the need for specialized performance engineers. By resolving bottlenecks in real time, the SDK reduces development cycles, lowers infrastructure expenses, and extends battery endurance for end‑users. Complementary to the SDK, the Energy Dashboard App aggregates telemetry to display energy usage and estimated carbon impact, giving teams actionable insight into sustainability metrics. All data are transmitted securely to a cloud service where analytics and reporting are available through a web UI or API.
Target Audience
The primary customers are software developers, DevOps engineers, and product teams building performance‑sensitive applications for desktop, mobile, or cloud environments, as well as sustainability managers seeking visibility into energy impact.
Features
- Runtime instrumentation layer that captures CPU, GPU, RAM, network, and disk metrics with sub‑millisecond overhead
- Automated optimization engine that rewrites or patches hot code paths based on heuristic and machine‑learning models
- Cross‑platform SDK (Windows, macOS, Linux, Android, iOS) with simple import and minimal configuration
- Real‑time telemetry streaming to a cloud analytics pipeline for continuous monitoring
- Energy Dashboard providing per‑application power draw, energy cost, and carbon‑equivalence calculations
- RESTful API and webhooks for integration with CI/CD pipelines, observability stacks, and custom dashboards
- End‑to‑end encryption and role‑based access control to ensure data privacy and compliance