How we drive your GenAI strategy

  • GenAI strategy development

    We create a tailored GenAI strategy and implementation plan, identifying business workflows that can be enhanced using LLMs, computer vision, and other GenAI technologies.

  • GenAI use case decomposition

    We break down business use cases into processes, identify data clusters for GenAI, assess the benefits vs. costs, and ensure ethical implementation of GenAI technologies.

  • GenAI technology stack selection

    As a tech-agnostic partner, we analyze your business needs and recommend a cost-effective GenAI tech stack tailored to your objectives.

  • GenAI optimization

    Already using GenAI but not seeing enough value? We help optimize performance by diving deep into your use cases, data models, tech stack, and other key elements to boost results.

How about having an in-person conversation with our AI experts?

Alexey Karankevich

AI Innovation Lead

Yariv Z Levy

AI Strategy Advisor

GenAI best practices we apply in action

LLMs

Fine-tuning LLMs

Adapting pre-trained models to specific tasks or domains.
RAG

RAG (Retrieval Augmented Generation)

Improving AI model accuracy by retrieving facts from external sources.
Private cloud

Private cloud deployment

Secure and cost-effective deployment on private clouds powered by open-source tools.
Data chunking

Data chunking strategies

Using effective data chunking techniques to enhance GenAI performance.
Graphs

Data graphs

Integrating knowledge graphs to boost LLMs' factual knowledge and reasoning abilities.

Industries we are experts in

Your desire of boosting with GenAI, our responsibility

Roadmap

Years of experience in our core business domains

FAQ

What makes Oxagile's GenAI consultants experts in delivering tailored AI solutions?

Both in real-life and R&D projects, Oxagile’s GenAI consultants shape their skills in AI model fine-tuning, data processing, and integration of advanced technologies like Retrieval Augmented Generation (RAG) and knowledge graphs. With a strong background in deploying both open-source and private cloud-based solutions, they specialize in adapting AI models to specific business needs and enhancing their performance through innovative strategies. Their expertise spans across various domains, ensuring tailored and effective AI solutions for each client.

How to choose a Generative AI consulting firm?

Here are three key factors to consider when choosing a Generative AI consulting firm:

  • Technical expertise and specialization: Ensure the tech partner has deep expertise in GenAI technologies and techniques, such as model fine-tuning, RAG, and the integration of knowledge graphs. Their ability to customize AI solutions for your specific needs is crucial.
  • Proven track record: Look for a firm with a history of successful AI projects and case studies, particularly within your industry or domain. Client testimonials and tangible results will provide confidence in their capabilities.
  • Scalability and security: Choose a firm that can deploy secure and ethical AI solutions, whether on open-source platforms or private cloud infrastructure, ensuring that your business can scale and remain protected.