Capabilities
Technologies that turn industrial data into action.
We combine AI engineering, industrial data and domain expertise to build solutions that work in real production environments.
- Production-ready AI
- Connected industrial data
- Secure, scalable deployment
Capability stack
- Connect
- Understand
- Predict
- Act
Trusted by manufacturers worldwide
Core AI capabilities
The right technology for the operational challenge.
We select and combine proven technologies around your data, systems and measurable business objective — not around a generic AI template.
01Machine Learning
Build models that learn from production data to predict outcomes, identify patterns and support better operational decisions.
- Demand and process forecasting
- Anomaly and risk detection
- Production parameter optimization
02Computer Vision
Analyze images and video automatically to detect defects, track objects and understand visual events in demanding environments.
- Automated quality inspection
- Object detection and tracking
- Continuous visual monitoring
03Generative AI & LLMs
Turn manuals, service histories and fragmented documentation into accessible, source-backed operational knowledge.
- Natural-language knowledge access
- RAG-based answers with sources
- Document processing and extraction
04Predictive Analytics
Use real-time and historical signals to anticipate failures, forecast performance and plan interventions before disruption occurs.
- Predictive maintenance
- Wear-pattern monitoring
- Early warning and alerting
05AI Agents
Create context-aware assistants that analyze information, coordinate tasks and guide teams through complex operational workflows.
- Workflow orchestration
- Operator and technician support
- Automated reports and escalation
06Data Integration
Connect machines, sensors and enterprise systems to create a governed data foundation for analytics and AI applications.
- OT and IT connectivity
- Legacy protocol support
- Unified real-time data access
One connected capability stack
AI works when every layer works together.
We connect operational data, models, applications and people in one coherent system — so insight can become action on the shop floor.
- 01
Industrial data
Machines · Sensors · MES · ERP
- 02
AI foundation
Context · Models · Governance
- 03
Applications
Analytics · Agents · Automation
- 04
Operational teams
Operators · Engineers · Leaders
Built for real environments
From technical capability to reliable operation.
Technology is only useful when it fits your infrastructure, security requirements and daily work. We design for production from the start.
Integrated by design
Connect with the machines, databases and business systems already operating across your environment.
Secure and governed
Keep access, data flows and AI outputs controlled, traceable and aligned with operational requirements.
Cloud or on-premise
Deploy in the architecture that fits your infrastructure, security policies and data constraints.
Ready to scale
Move from a focused use case to repeatable deployment across teams, production lines and locations.
4D Methodology
From problem to growth direction
Discovery
Understanding the DNA of the problem before the first line of code is written. Discovery helps us explore the real business requirements, user needs, and technology context.
Key deliverable
Standardized Concept Document
Our activities
- Defining objectives
- Identifying the problem
- User research
- Competitive analysis
- Feasibility study
- Technical requirements
Our experience
- We act as a partner, not just a contractor
- Rapid identification of real business needs
- Experience in industrial and enterprise projects
- Early analysis of risks and constraints
Proof in practice
Selected results from real-world deployments.
ManufacturingShape Recognition Automation with Machine Learning
An ML system that analyzes DXF files, recognizes part shapes, and assigns cutting jobs to the most cost-effective machine — no manual setup.
- $25–65K
- Annual Savings
- -6,300
- kWh per Year
- $325K
- 5-Year Savings
Software ModernizationBMS Security & Modernization with Claude Code
AI-assisted audit, upgrade and security testing of a BMS-class platform, cutting delivery from 7 to 6 months while removing 87 vulnerabilities.
- 260
- Hours Saved
- 87
- Vulnerabilities Removed
- 1 mo
- Timeline Reduction
Artificial IntelligenceAI in Construction Tender Analysis
An AI platform that analyzes up to 300-page tender documents and generates cost estimates, cutting bid preparation from 2 days to 5 minutes.
- 2 days
- → 5 minutes
- 300
- Pages Analyzed
- 115+
- Tender Areas
Bring us an operational problem.
Let's turn it into measurable performance. Our team is ready to help.