Achiral AI was founded on a simple belief: every business deserves root level access to private AI without needing a PhD in machine learning or budget of a continent.
In chemistry, chirality describes molecules that exist as non-superimposable mirror images. Achiral molecules possess internal symmetry—their mirror images are superimposable on the original.
We chose "Achiral" because we reject the idea that AI must be merely a reflection of human intelligence. Most frontier models today train on human-created corpus, learning human biases and patterns—creating "chiral intelligence" that's always defined by its mirror relationship to us.
Achiral AI is about finding symmetry in intelligent solutions—intelligence that's complete on its own terms, that works with human thought without being subordinate to it or derivative of it.
Read the full story: Why "Achiral"? On Symmetry, Intelligence, and Breaking Free from Reflection →
We provide organizations with dedicated AI assistants powered by self-hosted infrastructure you can trust.
Each organization gets their own Chiro assistant running on our self-hosted Kubernetes cluster with GX10 GPU compute. Your data is isolated in a dedicated Weaviate tenant, never shared with other organizations. Fine-tune your assistant with custom LoRA adapters trained on your organization's data. Real-time chat with WebSocket support, conversation history, and semantic search (RAG) powered by vector embeddings.
We run our own Kubernetes cluster with dedicated GPU nodes. No external AI providers—complete control over your data.
Each organization gets a dedicated Weaviate tenant with isolated vector storage. Your data never mixes with others.
RAG with semantic search, custom fine-tuning with LoRA adapters, and real-time chat with conversation history.
Dedicated GPU compute for fast inference. Training workers on CPU nodes handle fine-tuning jobs asynchronously.
Every organization gets their own Chiro instance with team collaboration, workspace management, and access controls.
Built with Next.js, Express, MongoDB, and modern DevOps. WebSocket support for real-time messaging.
| Inference Engine | Self-hosted inference on dedicated GPU compute |
| Vector Database | Weaviate StatefulSet with multi-tenancy |
| Orchestration | Kubernetes (2-node production cluster) |
| Application | Next.js 14 (App Router) + Express API |
| Database | MongoDB with tenant isolation |
| Queue System | BullMQ for fine-tuning jobs |
| Real-Time | Socket.IO for WebSocket messaging |
| Training Workers | CPU nodes (llm-wrk-3/4) for LoRA fine-tuning |
We run our own Kubernetes cluster with dedicated GPU nodes. No AWS, no GCP—just our own hardware. Your data stays on our infrastructure with Cloudflare Tunnel for secure access. No external AI providers means complete control.
Each organization gets a dedicated Weaviate tenant for vector storage. Your conversations, documents, and embeddings are completely isolated. Fine-tuned LoRA adapters are organization-specific and never shared.
RAG with semantic search using Weaviate vector embeddings. Custom fine-tuning with LoRA adapters trained on your data. Real-time WebSocket chat with typing indicators and conversation history. Tier-based quotas (Spark, Seed, Scale).
Built with Next.js (App Router), Express API, MongoDB, and Kubernetes. Self-hosted inference on dedicated GPU compute, Weaviate for vector storage, BullMQ for asynchronous job processing, and real-time features with Socket.IO.
We're transparent about constraints. If any of these are blockers, contact us to discuss alternatives.
Get your own Chiro AI assistant with dedicated tenant isolation and custom fine-tuning.
