platform overview

Built to understand how work gets done

Strivr transforms execution into Frontline Intelligence by training custom Visual Language Models (VLMs) on real-world workflows, enabling real-time error detection and correction across your operations.

Strivr transforms execution into Frontline Intelligence by training custom Visual Language Models (VLMs) on real-world workflows, enabling real-time error detection and correction across your operations.

Two workers with orange helmets operating a machine packaging boxes in a warehouse.

Using smart glasses, Strivr AI can:

  • Detect task context, objects, and workflow progress
  • Identify incorrect, incomplete, or out-of-sequence execution
  • Deliver hands-free guidance to correct issues immediately
  • Continuously learn from live execution data over time

How It works

Building the intelligence layer for frontline execution

From workflow capture to real-time validation, Strivr transforms frontline execution data into custom Visual Language Models (VLMs) that understand work, detect deviations, and guide corrective action in the moment.

Step 1

Capture frontline workflows

AI models learn your tools, environments, workflows, and operational procedures to build contextual understanding of execution in your environment.

Outcome: A real-world dataset that reflects how work is performed across your operations

Step 2

Learn how work gets done

AI models learn your tools, environments, workflows, and operational procedures to build contextual understanding of execution in your environment.

Outcome: An AI model trained specifically on how work gets done in your environment

Step 3

Detect & guide in real time

Strivr uses smart glasses to capture real-world execution data across frontline operations — including video, audio, workflow context, and task progression.

Outcome: Real-time detection and correction embedded directly into the flow of work

Step 4

Continuously improve over time

As more execution data is captured, the intelligence layer becomes more accurate, contextual, and operationally valuable.

Outcome: A continuously improving intelligence layer that becomes smarter with every task and workflow

Enterprise-scale architecture

Built for enterprise operations

AI-native copilot

Automatically process and learn from execution data to continuously train and improve visual language models

Usage & analytics

Manage execution data to power compliance, performance insights, and closed-loop model refinement

Enterprise integrations

Seamless integrations with existing IT ecosystem including MDM, POS, and warehouse automation

Device management

Infrastructure to provision and manage smart glasses, including native application deployment

Security & compliance

Enterprise-grade data privacy, security, and governance aligned with the highest standards for regulated environments

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Join a select group of organizations helping us redefine the future of frontline work.

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