AI that knowswhere to look.
Lumina routes every request through a transparent pipeline that chooses the right model, adds live web and knowledge context, applies memory when it helps, and streams answers you can inspect.
- No credit card
- Memory controls
- Web + knowledge grounding
I found three viable options. The strongest fit is Vendor B because it matches your procurement notes, has lower implementation risk, and is supported by two current market sources
Model routing
Lumina chooses the best route for the task.
Instead of making you pick from a model menu, Lumina classifies the request and automatically routes it to the right path for speed, balanced quality, or deeper reasoning.
One prompt. Multiple perspectives. One fused answer.
Model Fusion is the next step in Lumina routing: for high-value tasks, Lumina will run a panel of model routes, compare their reasoning, and synthesize the strongest answer instead of stopping at the first response.
Fusion trace
Planned quality pass
One high-stakes request
Multiple Lumina model routes
Compare strengths and disagreement
One synthesized answer
Panel-based reasoning
Send important work through multiple Lumina routes instead of trusting a single model perspective.
Disagreement analysis
Surface where routes agree, where they conflict, and which evidence should influence the final answer.
Fused final answer
Synthesize the strongest reasoning, context, and sources into one cleaner response for decisions.
Quality controls
Reserve fusion for research, strategy, code review, and other tasks where extra quality is worth the cost.
Platform
Context beats another generic chatbot.
Lumina adds the orchestration layer between your request and the model: routing, web context, memory, knowledge retrieval, and tool execution.
Adaptive routing
Right model, right moment
Classify the task first, then route to the model path that fits the work.
- •Task-aware model selection
- •Lumina Mini, v1.0, and Thinking paths
- •Automatic route selection for each task
- •Streaming responses through one interface
Grounded context
Current answers, not stale guesses
Bring in live web and tool context when the request needs evidence.
- •Search routing across configured sources
- •Firecrawl-powered page extraction
- •Visible tool activity during the stream
- •Context only when it improves the answer
Memory controls
Personalization with boundaries
Use saved preferences and project context without hiding what is remembered.
- •Cross-session memory when enabled
- •Settings panel for stored memories
- •Delete controls for user context
- •No memory dependency for one-off questions
Knowledge retrieval
Answers from your own material
Retrieve scoped document and collection context before generating a response.
- •Collection-aware RAG flows
- •@collection mentions for targeted context
- •Naive and agentic retrieval paths
- •Document context alongside web signals
Capabilities
A pipeline built for grounded answers.
Lumina is not another chat wrapper. It is an orchestration layer that decides what context to gather, which model to use, and how to make the response traceable.
Intent classification
Every request is categorized before execution so simple questions stay fast and complex work gets deeper handling.
Automatic model routing
Lumina chooses between fast, balanced, and reasoning-heavy model paths based on what the task needs.
Live web context
Search and page extraction tools add current information when the answer needs more than model memory.
Knowledge retrieval
Pull relevant document and collection context into the prompt for grounded answers from your own material.
Persistent memory
Remember preferences and project context across sessions, with settings that expose what has been stored.
Prompt engineering layer
Task-specific system prompts and context shaping keep responses structured, relevant, and easier to reuse.
Tool execution loop
Let the assistant call approved tools, incorporate results, and continue the answer without hiding the work.
Transparent trust posture
Model routing, memory use, and knowledge context are treated as product surfaces, not invisible magic.
See progress as the answer forms.
Add web, memory, and knowledge only when useful.
Expose the stages that shaped the response.
Trust posture
Production-ready means no black boxes.
Credibility starts with product behavior teams can inspect: routing, memory, knowledge scope, and model routing before badges or metrics.
Routing is explainable
Lumina is built around visible pipeline stages, so model selection and context gathering are not treated as a black box.
Memory stays user-facing
Saved memories are surfaced in settings, with controls to remove context that should no longer be used.
Knowledge is scoped
Document and collection retrieval is added only when it is relevant to the conversation and selected context.
Model routing is transparent
Lumina selects the model route automatically for each task, keeping routing behavior part of the product experience.
How it works
Nine stages underneath. Four moments you can follow.
The pipeline is technical by design, but the product experience stays simple: understand, route, ground, and answer.
Understand the request
Lumina classifies the task, identifies whether it needs current context, and prepares the right prompt shape.
Route the model
Fast, balanced, and reasoning-heavy paths are selected automatically based on what the task needs.
Ground the answer
Web search, memory, and knowledge retrieval are added only when they improve the response.
Stream the result
The assistant responds while tool activity and pipeline context stay visible enough to trust and debug.
Bring context into every answer.
Join the private beta to help shape an AI assistant that searches when it should, remembers what matters, retrieves your knowledge, and routes work through the right model.
Questions before you join?
Straight answers about the beta, the pipeline, and what Lumina is built to do.
Lumina is a context-aware AI assistant for chat, research, and decision work. It routes each request through a pipeline that can classify the task, choose a model, add web or knowledge context, apply memory, and execute approved tools.
Most chatbots send your prompt straight to one model. Lumina adds orchestration first: task classification, model routing, context retrieval, prompt shaping, optional thinking, and visible tool execution so answers are more grounded and easier to inspect.
Lumina automatically routes each request to the best model path for the task, whether it needs a fast answer, a balanced response, or deeper reasoning.
Model Fusion is a roadmap feature for high-value work. The goal is to let Lumina run multiple model routes, compare their reasoning, detect disagreement, and synthesize one stronger final answer.
Depending on the request and configuration, Lumina can use live web search, scraped page content, saved user memories, and relevant document or collection chunks from the knowledge layer.
Yes. Memory is designed to be user-facing: saved memories can be reviewed from settings, individual memories can be deleted, and memory can be disabled by configuration when personalization is not needed.
Lumina includes a knowledge retrieval layer for document and collection context. The goal is to ground answers in the material you choose instead of relying only on the model's general training.
The beta focuses on AI chat quality: model routing, memory, knowledge retrieval, web context, and tool execution. The waitlist helps us invite users in waves while those surfaces are hardened.
Lumina is in private beta. Join the waitlist to request early access; invites are sent in waves while the hosted product is hardened for broader availability.
Request access to Lumina
Join the waitlist for a context-aware AI assistant that can route models, search the web, remember useful context, retrieve your knowledge, and shape the Model Fusion roadmap.
Join the private beta
No credit card. We’ll email when your invite is ready.
Private Beta Access
Invites roll out in waves while the hosted product is hardened.
Product Updates
Get concise notes as routing, memory, knowledge, and Model Fusion features ship.
No Commitment
Free to request access. No credit card or sales call required.