Every model inherits your workspace context.
Private weights, project instructions, saved memories, and preferences flow into every connected model—without pasting transcripts into each send.
Relam features
The model already knows you.
Less explaining. More moving forward.
Private weights on Skytells infrastructure. Governed memory everywhere else. Controls you can audit.
Deep personalization with maximum privacy. Relam models on Skytells infrastructure carry you in private weights—not compressed chat logs. Every other model in your workspace gets governed memory, project context, and continuous learning you can audit.
Explore what this means for you
- 01 / UNDERSTANDINGStart with your way of working.
Personalization embedded in private model weights.
- 02 / CONTINUITYCarry the important details forward.
Deep memory connects preferences, facts, and project context.
- 03 / CONTROLKeep a say in what stays.
Review, edit, and remove saved memories.
Get to the work.
Skip the reintroductions.
Your tone. The decisions you have already made. The details that matter to this project. Explore how each layer helps Relam meet you where you are.
Choose a layer to explore
What this means for you
Make the first draft feel more like you.
Move from explaining your style to refining your message.
01 / Your working style
Private weights help our models start with your way of communicating.
Your saved memories stay reviewable, editable, and removable.Interactive capability guide
Personalization without the prompt tradeoff
Combine durable weights with governed memory that streams into every model as soon as your workspace context is ready.
Exploring / Workspace continuity
Connected models inherit the same workspace memory and project boundaries—without stuffing transcripts.
Governed personalization. Scoped across your workspace.
Define how context flows—what stays in private weights, what lives in auditable memory, and what never leaves a project boundary.
New memory ruleNew rule
Configure
IfMedical constraint
AND
Then
Personalization that scales with you.
Relam separates private weights, auditable memory, and workspace controls—so continuity holds when conversations get longer.
Try it in RelamPrivate weightsEmbedded on Skytells infrastructure
Governed memoryAuditable facts with scope
Workspace controlsBoundaries you can explain
Remember once, personalize everywhere
Continuity that compounds.
Put memory in front of every conversation, agent, and project. The whole workspace stays warm—not a cold start on every thread.
Review what Relam keeps.
Search, edit, and remove saved context in one place while every model and agent inherits the same governed layer.
Audit-proof retrieval
After you govern what is kept, Relam attaches scoped context in the relam-memory-context layer. Models read from your workspace boundary—not a shared transcript dump—so permissions apply to the real person, not a service account guessing from chat history.
Personal to you. Purpose-built for your business.A deeper understanding.
A deeper understanding.
A private foundation.
On our private network, Relam models know your working style through private weights. Deep memory adds the facts and project context that evolve with your work.
Bring your team’s workflow, infrastructure requirements, and privacy priorities. Shape an enterprise deployment around the way your business actually works.
Discuss your deploymentPrivate weights
Your working style, embedded in our models on private infrastructure.
Deep memory
Useful details that carry forward as your work develops.
Project context
Instructions and knowledge connected to the work at hand.
Governed AI. Personal boundaries. Multi-model freedom.
Privacy at Relam