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Personalized LLM Solutions For Your Data

Translate the promise of generative AI into tangible outcomes

Out-of-the-box LLMs often fall short when faced with data outside their training scope, struggling to meet specific business objectives without proper fine-tuning and retrieval-augmented generation (RAG) or knowledge graph implementations.

RAG

Enable AI to consult your unique knowledge base, offering contextually relevant responses for specific scenarios. Combine latest advancements in embeddings and vector databases for best performance.

LLM fine tuning

Customize response mechanisms to infuse your AI with a personalized “voice" and refine answers more with custom Q&A dataset.

Serverless architecture

To optimize performance and costs for any business size and constantly changing usage demands we offer both dedicated cloud infrastructure deployments as well as serverless architecture.

Knowledge Graph

Establish meaningful semantic connections among data points with rich metadata, enhancing AI performance beyond basic RAG applications. Multi-layer knowledge tree helps significantly improve model answers.

Monitoring & Improvement

Implement an ongoing feedback system to ensure your AI remains dynamic and evolves with your needs.

Build

PROJECTS

SOAKY: AI-powered app for podcast summaries that unlocks the wisdom of the world’s leading podcasts in minutes. It leverages AI to provide concise summaries in both text and audio formats, allowing users to quickly grasp key insights, enjoy personalized summaries, and explore content in innovative ways.

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Speech -To-Text solution

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LLM Multi Step Summaries

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Fully Automated Backend

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Advanced Personalization Features

Natural Text-To-Speech Voice

Comprehensive Support from Concept to Production

Strategy

&

Architecture

MVP

Creation

Production Deployment

Monitoring

&

Optimization

Overcome the Limitations of Generic LLMs

Generic LLMs lack insight into your unique business context, often generating unreliable responses without reference to proprietary data. Their performance is compromised without targeted fine-tuning and the integration of advanced technologies like RAG and knowledge graphs.

Laurynas Rekasius

AI ENGINEER

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I specialize in crafting advanced end-to-end applications that elevate LLM performance through innovative techniques like RAG, Knowledge Graph integration, and model fine-tuning. My passion lies in harnessing AI's power to create impactful, user-centric solutions that address complex problems and deliver real-world results.

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Get in Touch

Portland, Oregon

303-895-8627

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