We build intelligent systems that automate processes, predict behaviors, analyze vast amounts of data, and create new levels of efficiency through generative models and machine learning.

What is Generative AI?

Generative AI uses large language models (LLMs) and neural networks to create content of any kind:
• Text (articles, chats, emails)
• Visual materials (graphics, illustrations)
• Voice (TTS systems, audio generation)
• Code (functions, APIs, UI components)
These technologies are powered by models like GPT-4, Stable Diffusion, Whisper, Claude, LLaMA, and others.

Solutions We Offer

• Custom AI assistants trained with specific knowledge from your company
• Automatic content generation: product descriptions, advertisements, emails, posts
• AI for designers and marketing teams: visual concepts and real-time copywriting
• AI for developers: code generation, documentation, tests
• Voice assistants and voice-to-text technologies that transform customer service

Business Benefits

• Save hundreds of hours monthly through automation
• Faster and better personalization for each user
• Increased productivity for creative and technical teams
• Enhanced frequency and quality of communication
• New services and business models based on intelligent generation

Technologies We Work With

• OpenAI API (GPT-4, DALL·E, Whisper)
• Hugging Face Transformers, LangChain, Pinecone
• Stable Diffusion, Midjourney, TTS and STT models
• Custom LLM training and fine-tuning on your data
• Integrations with your CRM, CMS, SaaS or internal systems

Practical Examples

• AI chatbot that understands company policies and responds to inquiries
• Marketing content generator with the tone and style of a specific brand
• AI designer that offers visions for ads and campaigns based on keywords
• Virtual assistant for reservations and customer service with voice-to-text interface

What is a Personalized AI Assistant?

This is trained artificial intelligence that:
• Knows your business rules, products, and services
• Communicates with customers or employees (written or voice)
• Automates specific processes - from reservations to internal inquiries
• Provides real-time information and learns with each new interaction

Where Can It Be Used?

• Customer service - 24/7 AI chatbot or voice assistant
• Internal communication - AI that answers employees, trains, or reminds
• Sales and support - AI that knows every product, every question, every offer
• Online reservations, requests, and registrations
• Assistant for complex systems - as an interface between the user and ERP/CRM

What Does the Solution Include?

• Training language models on your data (PDF, knowledge base, website, documents)
• Integration with your systems (CRM, database, API)
• Options for written and/or voice interface
• Dashboard for monitoring, improvement, and statistics
• Data protection and option for local or private cloud hosting

Technologies We Use

• GPT-4, Claude, LLaMA, Mistral - for language intelligence
• LangChain, RAG, Pinecone, FAISS - for knowledge extraction from documents
• Whisper (speech-to-text), TTS (text-to-speech) - for voice communication
• Integrations with CRM, ERP, HelpDesk, and internal dashboards
• Open-source and custom LLM - by choice and security level

Business Benefits

• Drastic reduction in operational costs
• Faster and more accurate responses for customers and teams
• Scaling service without scaling staff
• Continuous improvement through machine learning
• Increased user satisfaction

Who Is This Solution Suitable For?

• Fast-growing companies that need scalable support
• Corporations with multiple systems and complex internal communication
• Online platforms that want to provide 24/7 intelligent assistance
• Organizations that want to digitize their knowledge

What We Offer

• Predictive automation - forecasts for sales, demand, and user behavior
• Automatic classification and categorization - of products, customers, documents, and data
• Optimization of internal processes - through intelligent rules extracted from historical data
• ML for industries - adapted algorithms for logistics, finance, marketing, retail, healthcare, etc.
• Integration with your infrastructure - easy implementation via REST API, SDK, or cloud-based systems

Technologies Used

TensorFlow, PyTorch, scikit-learn, LightGBM, XGBoost, Vertex AI, AWS Sagemaker, MLflow, etc.

Results

• Up to 80% time saved on routine processes
• Over 30% increased accuracy in decision making
• Proven productivity growth in real business environments

Through powerful language models and integrations with modern libraries, we build:

• Chatbots and virtual assistants - automatically responding to customer inquiries, processing requests, and directing to the correct resources in real-time
• Text and sentiment analysis - extracting meaning from customer feedback, social media, or internal documents through semantic analysis and classification
• Automatic translation and localization - precise multilingual translations through models such as MarianMT, T5, and OpenNMT for global content reach
• Voice recognition and synthesis - we use ASR and TTS technologies to convert speech to text and vice versa

We use open and commercial NLP models such as spaCy, BERT, Whisper, GPT, HuggingFace Transformers to achieve high accuracy, speed, and adaptability to any industry.

Our solutions use predictive analytics to discover patterns in data and predict key business indicators - such as demand, customer churn, user behavior, and more. Whether it's e-commerce, finance, healthcare, or SaaS products, our models adapt to the specifics of your business.

What We Offer

• Personalized product and content recommendations
• Customer behavior and expectations analysis
• Demand and sales forecasting
• Trend detection and automatic business suggestions
• Integration with existing CRM, ERP, and BI systems

Solutions We Offer

• Object recognition and classification – identifying products, people, vehicles or other elements in images and video in real-time
• Scene and context analysis – understanding the content of visual data for applications such as security, commerce, or marketing
• Optical Character Recognition (OCR) – extracting text from images, scanned documents, or video with high precision for digitization and automation
• Face and emotion analysis – face recognition, identification or emotion analysis for personalized customer experiences and security
• Video analytics – motion tracking, anomaly detection, or behavior analysis in real-time for surveillance, logistics, or retail
• Visual content generation and editing – automated creation or enhancement of images and videos through models like Stable Diffusion or DALL·E
• AR/VR integrations – processing visual data for augmented and virtual reality applications

Business Benefits

• Automation – saving time and resources by eliminating manual processing of visual data
• Precision – over 90% accuracy in recognition and analysis, minimizing errors
• Scalability – solutions suitable for small businesses and large enterprises
• Personalization – enhanced customer experiences through analysis of visual preferences
• Innovation – new services and products based on visual intelligence

Technologies We Work With

• Open-source libraries: OpenCV, YOLO, TensorFlow, PyTorch, MediaPipe
• Large models: ResNet, EfficientNet, Vision Transformers, CLIP, DALL·E, Stable Diffusion
• Cloud solutions: AWS Rekognition, Google Cloud Vision, Azure Computer Vision
• Custom models: training and fine-tuning models with your data for specific needs
• Integrations: easy implementation through REST API, SDK or connection with your CRM, ERP and SaaS systems

Practical Examples

• Retail: automatic product recognition on shelves for inventory management
• Security: video surveillance systems with facial recognition and anomaly detection
• Healthcare: analysis of medical images for diagnosis and monitoring
• Marketing: analysis of customer reactions to visual campaigns through emotion recognition
• Manufacturing: detection of product defects through real-time image analysis

Intelligent Sensor Systems and Autonomous Devices

What We Create:

• Intelligent edge devices with self-learning models on-site (Edge AI)
• Devices with sensors for sound, motion, pressure, lighting, temperature, presence, and more
• Human-machine interfaces (HMI) based on voice, touch, or gestures
• Recognition models: faces, objects, voice commands, acoustic events
• Predictive maintenance and anomaly detection systems
• Low power consumption architectures for mobile and wearable devices
• Autonomous modules that can function independently and securely

Work Approach:

• Complete implementation: from concept to working prototype
• Processing and analysis of sensor data with integrated AI models
• Interface development and logic for real-time decision making
• Optimization and adaptation according to client needs and end devices
• Readiness for integration into final products and large-scale production

Applications:

• Smart home: intelligent devices, thermostats, cameras, locks, alarm systems
• Robotics: cleaning, service, navigation, autonomous actions
• Wearable devices: fitness accessories, audio products, AR/VR solutions
• Industrial solutions: automation, control, monitoring and maintenance
• Energy efficiency: consumption monitoring and optimization
• Mobility: intelligent charging, vehicle monitoring, security

Why Edge AI?

Edge AI enables instant reactions, high data security, low network requirements, and significantly lower resource consumption, making it ideal for modern devices that require intelligence directly in the hardware.