Your journey to modern AI with Knowlestry
Knowlestry is a comprehensive technology that provides relevant solutions to fundamentally change the way your organization approaches AI.
Customize your AI Agent-
AI Agent for Monitoring Machines
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AI Agent for Parameter Estimation
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AI Agent for Onboarding Employees
Industries we serve

Industries
- Glass processing
- Metal processing
- Plastics processing
- Wood processing
- Environmental technologies
- Food industry
- Manufacturing industry
- Packaging industry
- Recycling industry
- Fastener industry
- Paint and coating industry
Customer segments we support
Component Manufacturers
Examples:
Electric motor manufacturers, brake suppliers, pneumatic component producers, etc.
Challenges:
Data inconsistency and knowledge transfer about component performance in the field. Manufacturers cannot reuse AI/ML models with the desired quality for many products and applications.
Solution:
The Knowlestry Platform processes product specs, manufacturing methods, and use case data to enable data-driven decisions.
Result:
Higher-quality components, reduced warranty claims, and continuous product improvement.

Machine Manufacturers
Examples:
Builders of CNC machines, robotic assembly lines, or industrial packaging systems
Challenges:
Companies are striving for reliability, lower service visits, and data-driven product upgrades.
Solution:
With Knowlestry, real-time machine data analytics infused with domain knowledge provides instant, natural language feedback for performance tuning and remote diagnostics.
Result:
Enhanced reputation for reliability, cost savings through efficient field service, and data-driven product upgrades that meet customer needs.

Plant Manufacturers
Examples:
Companies that design and build production facilities or specialized process plants.
Challenges:
Companies require large-scale coordination between multiple machines, processes, and operators to avoid project delays and knowledge gaps.
Solution:
Knowlestry consolidates and shares design specifications, operating parameters, and maintenance records across teams.
Result:
This speeds up completion, aligns suppliers and operators, and reduces costly rework.

Factory Operators
Examples:
Operators with production lines for automotive parts, consumer goods, or electronics manufacturing services (EMS), etc.
Challenges:
Operator skill gaps and unplanned machine failures and downtime, resulting in production slowdowns and missed deadlines.
Solution:
Knowlestry can provide on-demand training modules for rapid skill-building as well as automated machine health monitoring.
Result:
Fewer errors, minimized downtime, and increased throughput to meet or exceed production goals.

How we work

Define the starting point & desired outcomes for the testing phase:
- Responsible person / team/department
- Use case or the scope of the Knowlestry field of application
Let's talk about an on-site project for machine data analysis if your organization lacks in-house data scientists.
Check: Knowlestry for me
Initial customization & access to the test environment:
- The Knowlestry team sets up the Knowledge Hub & Custom LLM for you
- Gives you relevant background on how to work with the platform
- Defines the metrics that are important for your domain and organization;

Extended Pilot with integration to Data & ML tech stack:
- We help you to define a scaling strategy, as your custom LLM grows complex with more users and applications
- Your IT team sets up the final integration environment
Here is the motto: Launch, Learn, Grow, Succeed – We provide our clients with advanced services related to the development of new applications based on the Knowlestry stack.
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Set up processes for rollout and advanced GenAI integration:
- The Knowlestry team sets up the Knowledge Hub & Custom LLM for you
- Gives you relevant background on how to work with the platform
- Defines the metrics that are important for your domain and organization;