Features
Autonomous prompt generation and self-refinement
Test case and LLM Judge synthesizer for evaluation
Agentic RAG Builder (chunking, embedding, indexing)
Multi-dimensional LLM Judge (3-grade, pairwise, voting)
Multi-architecture evaluation (Prompt, RAG, models)
Interpretable AI observability in production
Automatic documentation generation and updates
Failover to secondary models and prompts
Doc cleaning and context embedding for accurate RAG
Edge case tuning from user data
Collective decision-making and customized metrics
One-click model, prompt, and database switching
Alerts via email and Slack for AI failures
Centralized management of AI components
Containerized AI with automatic infrastructure provisioning
Laguna XS.2 model (33B params, 3B active, on-device)
Laguna M.1 model (225B params, 23B active, via API)
256K context length for multi-step reasoning
Multi-agent orchestration with planning and tool use
Sandboxed agent execution environments
Developer surfaces: agents, TUI, IDE extensions, binaries
Custom foundation models deployed on-prem or in VPC
Data connectors to repos, databases, data warehouses
Role-based access control for humans and agents
Executive-grade governance and auditability
On-prem, VPC, and workstation deployment (defense only)
Forward Deployed Research Engineers embed with teams
Real-time observability with end-to-end traces
Air-gapped network support
Open-weight model weights available
