nureal.ai


Provider of pre-trained machine learning models and deployment tooling for edge and cloud environments. Offers model marketplaces, synthetic and live training data, cloud hosting, edge/on-device deployments (including chipset-level installs and over-the-air updates), analytics integration, digital twin simulation, and sandbox testing environments. Focus areas include smart city, retail, transportation, industrial, healthcare, and campus use cases, with features for data governance, role-based access, and auditability.

Industries

agtech
health-diagnostics
industrial-automation
retail-technology
smart-cities

Nr. of Employees

small (1-50)

nureal.ai

Denver, Colorado, United States, North America


Products

Digital twin simulation platform

Virtual 3D environment for spatial planning, sustainability analysis, and cybersecurity scenario testing prior to deployment.

Edge AI Agent SDK and runtime

Software toolkit for building and running agent-based inference on edge nodes that process multimodal inputs.


Services

Delivery and deployment of curated pre-trained models for industry use cases.

Provision of synthetic and live datasets to train or re-train computer vision and other models.

Managed hosting and compute resources for model operation and storage.

Installation and management of models on local chipsets and devices with remote update mechanisms.

Custom model engineering and pipelines for continual model improvement from operational data.

Dashboards and API integrations for operational reporting and predictive insights.

View All Services

Expertise Areas

  • Edge AI deployment
  • Computer vision analytics
  • Digital twin simulation
  • Synthetic data generation
  • Show More (6)

Key Technologies

  • Pre-trained machine learning models
  • Computer vision
  • Synthetic data generation
  • Edge/on-device inference
  • Show More (10)

News & Updates

Blog post summarizing recent AI industry developments and implications for smart-city and public-sector deployments.

Article describing a partnership to integrate AI with intelligent lighting for smart city and retail applications.

Discussion of an outcome-focused, problem-first approach to smart city technology and AI integration.

Post about the relevance of small, open-source language models for low-latency, on-device smart infrastructure.

Article covering privacy-enhanced, customizable enterprise language models and municipal deployment considerations.


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