Applied AI

AI for industrial and enterprise tasks

We develop solutions that work with real company data and can be deployed in its local infrastructure.

Industrial infrastructure and connected layers of data processing
01 / Developments

Two areas we already work with

We present each solution without inflated promises: the task, implementation, and practical effect.

Industrial cameras and a local compute module monitor working areas at a facility
Nazar AIPilot and development

Video analytics for industrial safety

Task
Automatically detect PPE violations, falls, and unsafe actions in video streams.
Solution
We connected existing IP cameras and NVRs to a local environment running computer-vision models.
Outcome
Significant events are recorded without constant manual observation of every camera.
  • Computer Vision
  • On-premise
  • IP cameras and NVR
View project details
A secure enterprise AI environment connects documents, knowledge bases, and a local language model
SolAIProduct development

Enterprise assistant for knowledge work

Task
Accelerate the search and analysis of internal documents without sending data to public AI services.
Solution
We combined a local language model, semantic search, and employee access controls.
Outcome
Documents become a single managed knowledge base within the company’s secure environment.
  • Enterprise LLM
  • Semantic search
  • Active Directory
View project details
02 / Approach

From a task to an operational system

  1. 01

    Validate the task

    We identify where AI can deliver a measurable result and determine the constraints.

  2. 02

    Build a pilot

    We work with the customer’s actual cameras, documents, and infrastructure.

  3. 03

    Integrate

    We deploy the solution locally and connect it to existing systems.

New project

Let’s discuss your task

Tell us about the facility, the current system, and what needs to change. We will clarify the details and suggest the next step.