AI‑powered solutions for small businesses
Empowering growth with cutting-edge technology and support.
SwAIvyn Labs
Where experimentation meets deployment.
SwAIvyn Labs is the proving ground for our ideas—sandboxed, containerized, and ready to break things so production doesn’t.
We use it to prototype multi-agent orchestration, run ambiguity-detection experiments, and benchmark retrieval quality against structured and unstructured data.
Core projects:
- SwAIvyn Core: multi-agent orchestration using Clarifier, Planner, Retriever, Checker, and Judge patterns.
- RAGzilla: local-first retrieval layer built to handle dynamic, streaming data.
- Forge: a simulation environment for human–AI collaboration, designed to study prompt sensitivity and iterative alignment.
Each prototype feeds back into our client work—battle-tested ideas hardened for production.
The Language of AI
What we've learned about production LLM work and how we use it.
Most people think the problem with AI is the AI itself. It’s not. It’s how humans communicate with it.
We study prompt sensitivity—the gap between what a user means and what a model assumes. Our research focuses on teaching systems to detect ambiguity, score confidence, and ask clarifying questions only when it matters.
Work With Us
Let’s build AI that knows when to ask.
We collaborate with government, enterprise, and various small time companies looking to move from proof-of-concept to production reliability.
If you’re facing inconsistent outputs, integration friction, or governance challenges in LLM adoption, we can help.
