- Prototyping ML solutions for domain-specific problems
- Time-series prediction for environmental and IoT data
- Forecasting and anomaly detection with Machine Learning
Category: Textblock – Our services
AI-driven software engineering
- AI-assisted coding
- Automated test generation and bug detection
- AI-supported documentation and requirements analysis
- CI/CD integration with AI-enhanced workflows
Our Approach
We combine hands-on expertise with forward-looking innovation to bring the value of AI into real business contexts.
Today, we use AI to support software development, create predictive models, and deploy conversational agents that can be easily customized through simple instructions. These solutions help speed up workflows, increase accuracy, and deliver a better experience for users.
Looking ahead, our goal is to move beyond proofs-of-concept and deliver solutions that organizations can depend on day-to-day, systems that integrate smoothly with IoT environments, withstand real-world conditions, and support better business decisions.
Why now?
Industry 4.0: We are in the fourth technological revolution, where physical operations are paired with always-on data and software. IoT provides the sensor and actuator layer that connects assets to cloud/edge intelligence, enabling real-time visibility, analytics, and closed-loop control. This shift goes beyond traditional automation: systems interoperate, learn, and adapt – improving safety, quality, uptime, and cost.
While single-board computers and compact edge devices have existed for decades, their use in mission-critical industrial systems has accelerated in recent years:
- Hardware maturity – Raspberry Pi, Jetson, and NUC platforms now offer stable performance, extended lifespan, and industrial-grade accessories.
- Ecosystem readiness – full support for key industrial and IoT protocols, secure operating systems, and containerized deployments.
- Versatility – from smart home controllers to factory automation, the same platforms can scale across use cases.
We leverage these advancements to deliver modern, cost-effective, and future-proof IoT architectures that meet both technical and business needs.
What we deliver now?
Data/telemetry foundation: Sensor integration, high-quality timeseries pipelines, feature extraction, and rule-based analytics to generate alerts, reports, and automations without requiring ML.
Secure operations: On-premise or cloud deployment, encryption in transit/at rest, access control, audit logging, data retention, and integration with existing operational tools and workflows
Extended Capabilities
Beyond core IoT development, we also support advanced use cases:
- Centralized model support – When needed, we coordinate cloud or on-premise evaluation and training of third-party or open-source models for anomaly detection, energy optimization and condition monitoring, using governed, ML-ready datasets and customer approvals.
- Edge AI integration – We package and deploy pre-trained partner models to supported edge devices with offline fallbacks and rule/threshold-based logic, ensuring critical functions do not rely on constant connectivity and non-ML options remain available.
6. Real-time dashboards & analytics
We develop intuitive dashboards and analytics tools for monitoring KPIs (Key Performance Indicators), visualizing time-series data, and triggering alerts — enabling operators to act quickly and effectively.
5. Centralized management platform
Our secure, centralized IoT platform puts privacy first. By eliminating unnecessary third-party exposure and ensuring end-to-end protection, it lets you house sensitive data confidently across residential, commercial, and industrial environment. Deploy on-premises or in the cloud to match your operational needs and compliance requirements.
4. Cloud connectivity & backend integration
We design solutions to connect IoT gateways to centralized or cloud applications – ensuring secure data transfer, reliable and scalable synchronization, and smooth integration with analytics, visualization and business systems.
Our approach allows your IoT devices to work seamlessly with your existing cloud infrastructure or dedicated IoT management platform.
3. Data collection, integration & processing
We manage the entire journey of your IoT data:
- Collecting – receiving measurements and status information from wide variety of devices
- Processing – filtering, validating, unifying and enriching data
- Streaming – Continuously delivering processed information to required destination: cloud services, analytic platforms or enterprise systems. Result: clean, structured, real-time data ready for decision-making.