Where AI Ideas Become Reality
Our R&D lab where we experiment with cutting-edge AI technologies, build open-source tools, and push the boundaries of what's possible. These are real tools we use internally and share with the community.
Experiments & Tools
AI Document Processor
Extract structured data from any document using vision AI. Upload PDFs, images, or scanned documents and get structured JSON output.
Code Review Agent
AI agent that reviews pull requests, identifies bugs, suggests improvements, and checks for security vulnerabilities.
Semantic Search Engine
Drop-in semantic search for any database. Uses embeddings and vector similarity to find contextually relevant results.
AI Meeting Summarizer
Transcribe and summarize meetings with action items, decisions, and follow-ups automatically extracted by AI.
// Research Focus
What We're Exploring
Multi-Agent Systems
Building orchestrated agent networks that can decompose complex tasks, delegate to specialized sub-agents, and synthesize results. Our research focuses on reliability, cost optimization, and human-in-the-loop supervision patterns for production agent deployments.
Domain-Specific Fine-Tuning
Experimenting with efficient fine-tuning techniques (LoRA, QLoRA) for vertical-specific models in healthcare, legal, and fintech. We measure accuracy gains against prompt engineering baselines to help clients decide when custom models are worth the investment.
RAG Architecture Patterns
Testing advanced retrieval-augmented generation patterns: hybrid search (dense + sparse), contextual chunking strategies, self-querying retrievers, and multi-index architectures. Our goal is to achieve near-perfect retrieval accuracy for enterprise knowledge bases.
Have an AI Experiment in Mind?
We love exploring new ideas. Let's collaborate on your next AI innovation.
Let's Experiment Together