AI Integration

Machine Learning

MLOps

Practical AI engineeringfor business systems

We help startups and SMEs turn data into AI-powered products, smarter operations, and measurable business results.

Get in touch

Our Clients

AI-driven system for motion detection, image capture, and intelligent visual analysis.

Scalable AI solutions and infrastructure for efficient machine learning delivery.

ERP platform designed to streamline operations and data management across organizations.

Smart access and IoT solutions combining hardware, software, and intelligent automation.

AI in Action: Selected Cases

Real-world examples of AI solutions we've designed and delivered for our clients. These cases highlight how we turn complex requirements into practical, production-ready systems.

Medic ToolMedical app for the military

DefigoSmart building entry

Hy5Interaction with a prosthetic hand

MilooE-bikes and E-scooters

CarvisPersonal Car Expenses Assistant

AI Technologies We Work With

Language Models & LLMs

Vision & Multimodal AI

OpenAI (GPT-4 / GPT-4.1 / Codex)

Large language models used for text understanding, generation, reasoning, and code-related automation across business workflows.

Anthropic Claude (Claude Code, Opus, Sonnet)

Advanced language models focused on safe reasoning, code assistance, and complex text analysis for enterprise use cases.

Google Gemini

Multimodal language models designed to work with text, images, and structured data within Google's AI ecosystem.

Meta LLaMA (self-hosted & fine-tuned)

Open-source large language models deployed and fine-tuned in private environments for full control over data and inference.

AI systems built for products and operations

We design, build, and deploy AI solutions that automate processes, enhance products, and enable intelligent decision-making.

AI Integration & Process Automation

AI Integration

Embedding AI modules into existing products, CRMs, ERPs, IoT platforms, and internal tools.

Intelligent Automation

Replacing manual workflows with AI-driven workflows that reduce effort and errors.

AI for IoT & Edge Intelligence

Edge AI Models

Deploying AI on devices, sensors, or gateways for real-time analytics and decision-making.

IoT + AI Solutions

Building intelligent IoT ecosystems that sense, analyze, and act without human intervention.

Computer Vision Systems

Vision-Based Monitoring

AI systems that detect objects, anomalies, or behaviors in real time.

Quality Control & Inspection

Automated defect detection and visual inspection workflows.

Custom AI Assistants & Business Tools

AI Assistants

Custom chat- and voice-based assistants for support, HR, operations, and analytics.

Business Intelligence AI

Smart tools that summarize, analyze, and interpret business information.

Data Engineering & AI Infrastructure

Data Engineering

Collecting, cleaning, transforming, and structuring data pipelines for reliable AI training.

MLOps & Deployment

Deploying models into production with monitoring, retraining, and scalable infrastructure.

AI-Powered Product Development

AI Feature Development

Adding AI-driven capabilities to your digital product.

Custom AI Systems

End-to-end AI development for unique use cases and business processes.

Real Business Impact

AI becomes valuable when it reduces costs, accelerates work, and improves decision-making.

Efficiency & Cost Reduction

Automate repetitive tasks across teams
Reduce operational costs through optimization

Performance & Decision-Making

Predict trends, risks, and demand
Speed up decision cycles

Quality & Customer Experience

Reduce errors and ensure consistency
Deliver faster and smarter interactions
Create personalized user experiences

Innovation & Competitive Advantage

Add AI-powered capabilities to existing products
Create new unique value propositions

Want to see how AI can benefit your business?

Book a consultation

How We Work

A clear and predictable process from idea to production, tailored to your business goals.

Discovery & Feasibility

We clarify goals, constraints, and data readiness while validating potential AI use cases.

Data Assessment

We evaluate available data, identify gaps, and prepare data pipelines for model training.

Model Development

We design, train, and validate machine learning models aligned with business needs.

Integration & Deployment

We embed AI into your product or systems using APIs, interfaces, and scalable architecture.

Monitoring & MLOps

We ensure your AI stays accurate and reliable through retraining, monitoring, and improvements.

References from our clients are the best quality mark

Driven by the purpose of successful implementation of IT projects and client satisfaction, we continuously improve and fully apply our customer service policy. LANARS has developed an optimal flow of communication, which begins with establishing objectives by our Business Analysts. They collect detailed information about the project and provide clients with estimates. During the workflow, Project Managers control and manage the development process, always staying in touch with the client. Together they form a connecting link between businesses and the development team. This approach has helped us to receive plenty of positive references from our valuable customers.

AI Insights from LANARS

Expert perspectives on practical AI implementation, MLOps, and emerging technologies from our engineering team.

04.05.2023

Artificial Intelligence and IoT: How Smart Devices Are Changing Our LivesEven if you’re remotely aware of the developments in tech, you surely know that the Internet of Things (IoT) has changed the game in all sectors like manufacturing, housing, agriculture, healthcare, and so many others. So, It’s no surprise that it’s projected to cover 64 billion devices by 2025. At the same time, Artificial Intelligence (AI) has taken the world by storm, with the most recent revolution being ChatGPT. Now imagine if you bring both of them into our smart devices.Read more

19.05.2023

The Role of AI in Industrial IoT: Improving Efficiency and Quality ControlWith the arrival of Industrial IoT (IIoT) and the concept of Industry 4.0, we can finally imagine a future where companies can boost efficiency and reduce errors while we don’t have to worry so much about sustainability and energy management. In general, you can explore the impact of AI in three key areas: predictive maintenance, quality control, and smart manufacturing.Read more

26.05.2023

The Intersection of Data Science and Business: Harnessing Data Analytics for Business GrowthRecent years brought a considerable increase in available information, and more significantly, managers and policymakers have increasingly recognized the benefits emerging from big data. This article presents the importance of data analytics for business growth and how data science can be leveraged to make data-driven decisions.Read more

Why LANARS?

LANARS combines strong engineering culture with experience in delivering complex systems for demanding markets.

End-to-end engineering: hardware + software + AI

Deep expertise across IoT, Smart Building, Healthcare, Energy, Logistics

Flexible engagement models for startups and SMEs

Production-ready mindset, not experimental prototypes

ISO/GDPR compliant processes

Strong presence in Nordic and EU markets

Frequently Asked Questions

Common questions about our AI services.

How long does it take to move from idea to production?

Most AI projects take anywhere from several weeks to a few months. The timeline depends on the complexity of the use case and the readiness of your data. A typical flow includes a short discovery phase to clarify goals, a period of model development and validation, and then integration into your product or system. Smaller, well-defined use cases can go live faster, while large or multi-module solutions naturally require more time.

What affects the timeline of an AI project?

The duration of an AI project depends primarily on the quality and availability of data, the complexity of the task, and how deeply the solution needs to integrate with your existing systems. Additional factors include infrastructure requirements, security considerations, and the number of iterations required to achieve the level of accuracy your business expects. During the feasibility phase, we analyze all of these aspects and provide a clear, realistic timeline before development begins.

Can we launch a small MVP first and expand later?

Yes. Starting with a small, focused MVP is often the smartest approach. It allows you to validate the idea quickly, test the model with real data, and understand how it performs in your environment before investing in full-scale development. Once the MVP proves its value, we can extend the functionality, improve accuracy, and scale the solution to support your broader business processes.

Do you work with early-stage startups?

Absolutely. We often support early-stage startups in shaping their first AI use case, assessing the feasibility of their idea, and building an AI-powered MVP that can be demonstrated to customers or investors. Our process is flexible and adapted to startup needs—fast iteration, clear communication, and development choices that align with limited budgets and tight timelines.

Explore AI Opportunities for Your Business

Language

ende no

[email protected]

Contact directly via WhatsApp