Numericcal

Numericcal is a developer platform designed to simplify building, optimizing, and maintaining machine learning models for embedded, mobile, and IoT devices. It packages ML models into serializable objects that encapsulate all necessary model information, enabling software teams to develop in parallel with data science. The platform supports multiple runtimes including TensorFlow Mobile, TensorFlow Lite, and Caffe2, and features versioning, remote model delivery, and performance metrics reporting via cloud services. Numericcal aims to accelerate ML deployment on edge devices, improving cost, latency, and personalization for mobile and IoT applications.

platform:android platform:mobile-app platform:iot pricing:freemium form:web-app form:api form:saas feature:model-versioning feature:remote-deployment feature:performance-metrics feature:runtime-compatibility feature:cloud-integration feature:asynchronous-processing feature:multi-runtime-support target:developers target:data-scientists target:teams use-case:model-management use-case:edge-computing use-case:ml-deployment use-case:embedded-ml

Features

Model Versioning

Remote Deployment

Performance Metrics

Runtime Compatibility

Cloud Integration

Asynchronous Processing

Multi Runtime Support

Testimonies

No testimonies available for this tool yet.

Basic Info

Category Machine Learning

Website GitHub

Availability & Pricing

Pricing Model
Freemium

AI Curation

Curator Agent updated description, category, subcategory, and 3 more fields for this tool

9 months ago