Generative
AI Solutions
Generative artificial intelligence (AI) is a potential game changer for your industry. By leveraging generative AI, businesses stay ahead of their competition by fostering innovation, improving efficiency, and delivering personalized experiences to customers. Drive better business outcomes on a broad front with AI and VOLTERA.



PARTNER
Competitive Advantages with Our Gen AI Services and LLM Solutions
Generative
AI Consulting
We advise on Generative AI models considering the client’s specific needs, objectives, and data infrastructure, followed by tailored AI solutions that align with your business goals.
Gen AI For Business
Transformation
Generative AI Development
For Product
Using an AI data-driven approach, VOLTERA designs and develops intelligent web and mobile platforms with exceptional user experience, reliability, and high-level AI accuracy.
How Can You Benefit With Generative AI Development Services?
AI copilot empowers existing business applications by providing intelligent code optimization and automation, which enhances app functionality, reduces the likelihood of errors, and speeds up the development cycle. It also facilitates the seamless integration of new features and technologies, ensuring that applications remain cutting-edge and highly responsive to evolving business needs.
VOLTERA experts transform raw data into production-ready AI solutions by systematically addressing the entire machine learning lifecycle – from data preparation, model training, and optimization to deployment, monitoring, and continuous improvement – enabling organizations to convert advanced AI capabilities into scalable, reliable, and high-performance business-critical systems.
Ready to improve your business with Gen AI solutions?
LLM Agent Is A State-
Of-Art Automation
LLM it is not only the possibility to chat and get a wide range of information, it’s the possibility to retrieve your local data from databases, docs and spreadsheets. With advanced LLM Agents, you can automate your routine processes, streamline your client communication, or implement your start-up ideas.

Discover the power of Generative AI to drive unparalleled innovation in your industry.
Voltera Success Stories: Generative AI in Action
Check out a few case studies that show why VOLTERA will meet your business needs.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.

Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

Performance Measurement
The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.

Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.

Michelle Nguyen
Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company
View case study →

Technologies of Artificial Intelligence and Machine Learning
Lama 2
Zilliz
Weaviate
Stable Difusion
Qdrant
Pix2Pix
Pinecone
Pgvctor
OpenAI
Momento
Mixtral
Llava
Hugging Face
Faiss
Chroma
ChatGPT
Activeloop
YOLO
SageMaker
Pillow
NLTK
Keras
SciPy
Redis
Understanding
How AI Works
AI works by collecting and optimizing vast amounts of customer data, building analytical models through iterative training processes.

Sources of Customer Data
Client information is collected from websites, mobile apps, wearable devices, the Internet of Things (IoT), blockchain technology, and e-commerce platforms.
01
Optimizing Data
02
Building Analytical Models
03
Retrieval augmented generation
04
Iterative Model Training
05
Strategic Insights
06
AI Integration
07
Transform your operations and
exceed customer expectations with our Gen AI expertise.
Generative AI Across Business Operations
- Personalized messages, emails, or recommendations generation.
- AI-driven chatbots and virtual assistants that provide instant, 24/7 support.
- Generating content automatically: product descriptions, FAQs, or help articles.
- Analyzing customer data to predict future behaviors, preferences, and needs.
- Natural language queries are used to find info, similar to human interaction.
- Automatically adapting content to suit different languages or regional nuances.
- Generating text reports and contextually relevant video/image creation.
- Distillation of lengthy documents into summaries, capturing key points.
- Extracting, interpreting, and managing data from invoices, contracts, and forms.
- The moderation of user-generated content, filtering out irrelevant content.
- Creating realistic data for ML model training without privacy concerns.
- Context-aware instructions, predictive maintenance, and optimized repairing.
- Tailored images for websites, product showcases, or marketing materials.
- Improving the quality of video, optimizing clarity, resolution, and color balance.
- Refining images, adjusting lighting and sharpness, and removing imperfections.
- Music production: tracks, sound effects, or jingles tailored to specific needs.