AI for IoT Systems
Indeema builds cognitive IoT and AI solutions that help businesses automate, analyze, and evolve — transforming connected devices into intelligent ecosystems.
What is AI in IoT?
AI in IoT represents the next level of processing vast amounts of data that no human can handle. While IoT devices and sensors collect data, AI analyzes it and makes informed decisions.
The result is a highly autonomous, cognitive IoT system capable of learning and adapting to environmental changes in real time.
AI in IoT
How does AI work for industries?
Energy
AI-powered load forecasting
Predictive maintenance of the grid and its components
Dynamic pricing based on real-time supply and demand
Mobility and drones
Self-flying drones and vehicles for environments dangerous for humans
Object detection & tracking for monitoring or delivery
AI-driven perception and adaptive routing for autonomous fleets
Healthcare
Patient monitoring with IoT and wearables
Diagnostics accuracy with AI-enabled anomaly detection
Better chronic disease management with intelligent remote checkups
Manufacturing
Predictive maintenance of the equipment
Visual quality control with computer vision and deep learning
Safety monitoring with object recognition
Agriculture
Drones with object recognition for crop pest and disease control, ripeness detection
Satellite and drone imagery to anticipate stress areas in fields
Autonomous tractors, drones, or harvesters to reduce human intervention
Consumer IoT
Automation of the smart home routines, voice, and gesture controls
Energy saving based on demand prediction and energy use optimization
Home security with fewer false alerts due to behavior-based anomaly detection
Ready to make your IoT system intelligent?
Let’s integrate AI into your connected ecosystem.
AI development services we offer
Indeema designs and deploys AI IoT solutions both in the cloud and on the edge. We can help you with:
AI Strategy & Consulting
- Assessment of IoT ecosystem readiness for AI integration
- Identification of use cases and ROI-driven adoption roadmap
- Data collection, labeling, and governance strategy
- Cloud and edge infrastructure design for AI workloads
AI SYSTEM INTEGRATION
- Integration with AWS, Azure, or Google Cloud AI services
- MLOps pipelines for continuous model improvement
- Secure APIs linking AI models with IoT data streams
- Dashboard development for data visualization and insights
Computer Vision for IoT
- Object, person, and event detection via camera-equipped IoT devices
- Quality control and defect detection for manufacturing lines
- Safety and security monitoring using edge-based vision models
- Environmental recognition for drones, mobility, or smart spaces
Cognitive IoT Platforms
- Integration of AI agents to coordinate multi-device systems
- Context-aware automation (learning user behavior or machine state)
- Autonomous decision-making for fleets, factories, or energy networks
- Real-time control through AI-driven feedback loops
GREENGRASS - AWS TECHNOLOGY
- Enables local data processing and real-time decision-making on connected devices
- Supports machine learning inference and automation directly at the edge
- Operates securely and reliably, even when offline
- Seamlessly integrates with AWS Cloud for management, analytics, and updates
AI Expertise for cognitive IoT
Data Engineering
Cleaning, labeling, and preparing IoT datasets
Model Development
Custom ML/DL models for classification, regression, and detection
Edge AI Integration
Deploying models on microcontrollers or GPUs
MLOps
Continuous monitoring, retraining, and model updates
Visualization & Insights
Dashboards for analytics and decision support
GenAI Product Development
Launching new products more quickly than with traditional methods
AI Agents Development
Developing intelligent software for fully automating routine tasks
Technologies We Use
Engineer the Things of Tomorrow
Let’s integrate AI into your IoT ecosystem and make your devices truly intelligent.
How We Work
From Idea to Implementation
Discovery & requirements analysis
We begin by analyzing your business needs, data sources, and IoT infrastructure to define clear project goals and success metrics.
Solution design
Our team designs the system architecture, selects the right AI models, and plans data pipelines and integration points for your environment.
Development & model training
Our engineers transform project requirements into a working AI solution: develop ML/DL models, train them on your data, and optimize the learning algorithms.
Testing and fine-tuning
Each component is tested and validated. Then, if required, the model is fine-tuned on additional data to ensure accuracy and reliability of the output.
Deployment
The solution is deployed to production — in the cloud or on the edge — with full monitoring and automation pipelines for smooth operation.
Support & maintenance
We continuously monitor the solution performance, retrain or fine-tune the model if required, provide technical support, and roll out updates.
Company
Why Work With Us
Full-Cycle Expertise
From hardware and firmware to cloud, apps, and AI — we handle every layer of IoT development.
Certified Quality
ISO-certified processes ensure stability, data security, and top engineering standards.
Trusted Ecosystem
AWS Partner, Avnet IoT program member, Microchip design partner, and integrator for leading hardware providers.
Open Discussion
Personal Approach
Dynamic Work Culture
Fully Managed Workflow And Processes
Top-Notch Tech Stack
Professional And Experienced Team
Fast Recruitment
Transparent Pricing
Complex Projects? We Love Them.
Whether it’s drone autonomy or predictive analytics, we know how to make complex systems work — and work smart.
Customer Success Stories
Check out our portfolio of already transformed businesses that have reaped the benefits of working with us.
IoMT: Medical Device Software Development
Monitoring Life is a startup based in Spain that focuses on medical devices. The Sensocor project aims to provide a comprehensive solution for analyzing heart signals and offering essential insights into patients' health. It includes an IoMT device, cloud for data storage, a web portal for doctors...
- Industry: Healthcare, Consumer IoT
- Service: R&D Services, MVP Development, UI/UX Design, Mobile App Development, Android App Development, iOS App Development, ...
- Team: 9 team members
- Lifetime: August 1, 2023 - Ongoing
- Client’s Location: Spain
Testimonials
Ostap Dzhula
COO at Tykho Electronics
Together with Indeema, we built a scalable ecosystem for drone electronics — everything from autonomous flight control to jamming technology. Thanks to Indeema’s engineering support, we’ve significantly accelerated our product roadmap.
Ted Selden
COO at TouchMD
They actually suggest things to us. They find better ways of doing things, so they really strive to give their input and their suggestions, which is really nice rather than just building something we are asking them to build.
Andreas Kuhn
CEO at Solar Manager
Indeema Software employs a team of hardworking and organized development experts. Their responsiveness spurred continued engagement. I appreciate their commitment to searching for solutions and making the client happy.
Luke Gall
Co-Founder at UDB Inc.
“They’re great with communication and organization. Anytime we bring a feature request to them, they study it and provide detailed estimates. They’re very transparent and flexible in that process. They provide very detailed reports on the time they’ve spent on the project.
Eric Perez
VP at Spellex Corporation
“The Indeema Software team successfully launched the extension which received positive feedback from the company's customers. The team's project management style was very organized and all of the company's concerns were discussed and addressed.”
