Pre-trained models are adapted to your specific business tasks, domains, and workflows, improving relevance, accuracy, and output quality for practical applications.

Check the math before you bet on GenAI
Generative AI moves fast, your case should too. Run your project through our ROI Calculator and see exactly where the return is.

Сustom generative AI consulting solutions
Unlock industry-specific opportunities through Generative AI consulting. Oxagile’s experts work closely with your team to identify where AI can make the biggest difference, and guide implementation from pilot to production.
We identify workflows where the output itself is the value – content generation, document synthesis, structured data extraction from unstructured sources, and conversational interfaces. This is distinct from broader AI opportunity mapping: we’re looking specifically for where a generative model produces something a human or traditional system currently produces manually.
Introducing our generative AI consultants
Learn about our team’s expertise and how they turn GenAI knowledge into effective solutions.

Alexey Karankevich
AI Innovation Lead
Specializes in mobile product development, data mining, and ML.

Yariv Z. Levy, PhD
AI Strategy Advisor
Leads AI adoption and innovation across industries, PhD in AI, MSc (EPFL).
Want to take AI further with Oxagile’s experts?
Our expertise, embodied in products
Austra Nova
Voiager
Tailored generative AI solutions
Seamless GenAI integration into your workflows


Our GenAI playbook
LLMsFine-tuning LLMs
RAGRAG (Retrieval Augmented Generation)
AI model reliability is enhanced by connecting LLMs to external knowledge sources, providing responses are factually accurate and contextually relevant.
Private cloudPrivate cloud deployment
Secure, scalable, and cost-effective GenAI deployments are delivered on private cloud environments using open-source frameworks, keeping your data protected and performance optimized.
Data chunkingData chunking strategies
Data is structured and segmented effectively to improve model comprehension, speed, and consistency, providing more efficient processing of large and complex datasets.
GraphsData graphs
Knowledge graphs are used to enrich LLMs with structured domain knowledge, boosting reasoning, contextual understanding, and factual accuracy for critical business applications.
FAQ

Generative AI refers to technologies that can create content, insights, or predictions from data, like text, images, or code. Applied strategically, generative AI consulting services can streamline workflows, automate repetitive tasks, and unlock new ways to deliver products and services.

Consultants are most valuable when you want to identify high-impact AI opportunities, design practical workflows, or implement pilot projects. Our generative AI consultants help map your business processes to AI solutions, prioritize initiatives, and guide deployment for measurable results.

We conduct a thorough assessment of your workflows, data readiness, and operational priorities. This includes identifying repetitive tasks, data-rich processes, and areas where AI can provide tangible efficiency or insight gains.

We leverage a wide range of generative AI technologies, including large language models (LLMs), computer vision, RAG (Retrieval-Augmented Generation), and knowledge graph integrations. We select the right tools based on your business objectives, scalability needs, and infrastructure.

Yes. We make sure seamless integration with your current tech stack and workflows, whether cloud-based or on-premises, so AI solutions enhance rather than disrupt operations.

Success is measured by clear, pre-defined KPIs, such as time saved, process automation rates, improved accuracy, or business outcomes. Pilot programs and proofs of concept help validate effectiveness before scaling enterprise-wide.

Data security is a top priority. We recommend private cloud deployment, secure access controls, and best practices in data handling to keep sensitive information protected throughout development and deployment.











