Lasius deploys inside your network as a single containerized stack. Route any LLM through your security guardrails, build no-code agent workflows, and maintain a complete audit trail of every prompt and token.

A single Docker Compose stack that runs inside your network boundary. Nothing leaves your perimeter.
Palo Prisma AIRS · Cisco · Radware · Custom Rules — PII Detection · Prompt Injection Prevention · Content Filtering
All traffic stays within your network perimeter
Swap providers by changing one config line
Every prompt, response, and cost is logged
Works with your existing security tools
An honest look at what each approach gives you and where the trade-offs are.
| Capability | Direct Microsoft / Claude | Lasius |
|---|---|---|
| Model Lock-in | Tied to one vendor's models | Route to any provider — switch with a config change |
| Security Guardrails | Whatever the vendor provides | Your guardrails — Palo, Cisco, Radware, or custom |
| Data Location | Processed in vendor's cloud | Stays inside your network boundary |
| Cost Model | Per-seat ($30/user/month for Copilot) | Per-token — you pay only for what's actually used |
| Workflow Automation | Limited to vendor's ecosystem | Visual builder — connect any tool, any model, any data source |
| Audit Trail | Vendor's dashboard, vendor's data | Langfuse traces — you own every log |
| Adding New Models | Wait for vendor support or sign a new contract | Add an API key, update routing — takes minutes |
| IT Control | Vendor manages infrastructure | You manage everything — it's your container |
You don't need to automate everything on day one. Start with visibility and control.
Deploy Lasius as your AI gateway. Get visibility before you build anything.
Pick one use case and build a workflow around it.
Multi-agent workflows across teams. This is where the ROI compounds.
The building blocks for deploying governed AI in your organization.
Configure agents backed by any LLM — OpenAI, Claude, Gemini, DeepSeek, or self-hosted Llama. Define system prompts, tools, and memory.
Drag-and-drop canvas for chaining agents, data sources, and outputs. No code required — or use the API if you prefer code.
Upload documents, build vector indexes, and ground agent responses in your actual data. Supports PDF, DOCX, CSV, and web scraping.
Langfuse integration tracks every request: token count, cost, latency, and the full prompt-response chain. Export for compliance.
MCP protocol support for connecting to Slack, Google Workspace, databases, APIs, and custom internal tools.
Pluggable guardrail layer — PII redaction, prompt injection detection, content filtering. Integrates with Palo Alto, Cisco, Radware.
Lasius works with the security infrastructure you already have deployed.
AI Runtime Security for real-time prompt inspection and threat prevention at the model layer.
PII detection, prompt injection prevention, and toxicity filtering — applied before the LLM processes the request.
Control who can build, deploy, and query agents. Enforce least-privilege across your organization.
The entire stack runs inside your network. No SaaS dependency. No data exfiltration risk.
Every interaction is logged with full context — queryable, filterable, exportable for compliance review.
Define which models are approved, set usage policies, rate limits, and cost budgets per team or department.
The platform is live. Open it, build a flow, connect a model.