Lumina v2 is not a feature release. It is a philosophical shift. Every new capability, from the Firewall Pipeline to the AI Boardroom, was designed around a single principle: trust must be built into the architecture, not bolted on after.
When we launched Lumina v1, we set out to prove a thesis: that analytics could be a dialogue, not a dashboard. That AI could reason about your data, ask follow-up questions, and surface insights you never thought to look for.
The response was overwhelming. Teams across healthcare, energy, finance, and manufacturing told us the same thing: "This changes how we think about data. But can we trust it with our most sensitive information?"
That question became the mission for v2. Every feature you see below exists because of it.
Three independent layers that protect your data before, during, and after every AI interaction. Each layer catches what the others miss.
Every prompt passes through a three-layer inspection pipeline, including pattern detection, business rules, and AI classification, before it ever reaches a language model. Credit cards, SSNs, API keys, and PHI are caught and blocked automatically.
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Four security clearance levels, from Public Cloud to Air-Gapped, let you decide exactly where each AI agent processes your data. Run on our cloud, your private servers, or entirely offline in the browser.
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An AI firewall that runs entirely inside your browser. It understands meaning, not just patterns, catching paraphrased PII, implied identities, and contextual sensitivity with zero data leaving your device.
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AI that does not just answer questions. It debates them, specializes in your industry, and finds the problems you did not think to ask about.
Five to seven specialized AI agents debate your question from different perspectives: finance vs. operations vs. safety vs. legal. A Chairman synthesizes consensus. You get a decision you can defend to your board.
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Purpose-built AI analysts for healthcare, energy, mining, finance, legal, manufacturing, and more. Each agent carries its own expertise, governance rules, and security clearance. Build your own in the Agent Studio.
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Thirty-plus detection engines sweep your data for anomalies, patterns, and risks you never asked about, including seasonal shifts, hidden correlations, decline curves, and more. Like a full medical panel instead of a single blood draw.
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Tools that put you in the driver's seat. Build custom agents, run AI on your own infrastructure, and test scenarios without touching your real data.
A no-code environment to build, configure, and deploy custom AI analysts. Define a persona, set governance rules, configure the firewall, and test, all in a visual editor. The same studio our team uses to build every stock agent.
Point any agent at your own AI servers: Ollama, vLLM, or any OpenAI-compatible endpoint. Choose your model, keep your data on-premise, and run with zero cloud egress. Perfect for regulated environments.
Run "what if" scenarios, such as changing a price, adjusting a forecast, or simulating a merger, without duplicating a single row of data. Virtual views over your original dataset mean zero extra memory and a clean audit trail.
Every feature in v2 answers the same question: "Can I trust this system with my most sensitive data and my most important decisions?"
The Firewall ensures sensitive data never reaches an AI model without your knowledge. Governance Levels ensure data stays where your compliance team says it should. The Boardroom ensures decisions are debated, not rubber-stamped. And Radar ensures the problems you did not think to ask about still get found.
This is what we mean by "trust by architecture." It is not a checkbox on a compliance form. It is how the system is built.
See what enterprise-grade AI analytics looks like when security, governance, and auditability are built in from the ground up.