Context that carries forward
Work doesn’t end
when the tab closes.
Persistent sessions give your request, conversation, and recorded activity a place to return to. Pick up the context before deciding what comes next.
Meet Kalamos / The Aliion workspace, in preview Intelligence.
Intelligence.
Put to work.
Your ideas deserve more than an answer.
Connect models, direct the work, and keep the whole story in view.
kWhat would you like to explore?Interactive tour
Map this project. Explain how a request moves through the code, and show me where to start.
Kalamos · Example workflowExplore
01 / Intelligence in practice
Don’t just see the answer.
See the work unfold.
Choose a task. Walk through the decisions.
Discover what a workspace adds.
01/ 04
Begin with the right context.
A useful task starts with a clear request and relevant project material. The workspace gives that conversation a place to live.
Context01 / 04
Your task
Map this project. Explain how a request moves through the code, and show me where to start.
Relevant project material
README.mdsrc/routes/src/services/
A persistent session keeps the request and its context together.
Illustrative content · not a live AI session
Models provide the intelligence. Kalamos gives the work a place.Inside the workspace
The space between possibility and progress
More capable models.
More ambitious ideas.
Now, a better way to work.
ALIION / OUR DIRECTION
A model can reason, write, and suggest. Putting it to work with a team brings another set of questions: what can it see, what can it do, and how do you know what happened?
We’re building the place where those questions stay connected to the work.
02 / Choice without losing context
The model can change.
The work stays connected.
Explore two connection patterns.
Know where your task travels.
FIG. 02Your deployment boundary
Your teamTasks & decisions
kKalamosThe workspace
Your model serverOperator-managed endpoint
Session & execution history
Private inference
Put your own capacity to work.
Connect a compatible model server running on infrastructure your team operates. Kalamos communicates with the configured endpoint; the people doing the work use the workspace.
Connection fit
OpenAI-compatible streaming and tool interfaces provide a connection path. Each model and server version still needs testing against the workflow you intend to use.
Compatible local or remote inference servers
Connection patterns, not an automatic routing service. The current preview uses an operator-configured default model connection. Per-task model selection and broader routing remain in development.
03 / The workspace around the model
One task. A whole
working context.
The answer is part of the experience.
These are the pieces around it.
Work doesn’t end
Connections with a purpose.
Configure model endpoints around the workflow. Compatibility, context limits, and tool support matter more than a long list of logos.
Model connectivityProgress you can follow.
Shared queue visibility and session activity help separate waiting from working—and help people understand the next decision.
Inside the workspaceDecisions in context.
Configurable tool policy brings approval requests into the task when a human decision is required. Review the action before continuing.
Understand the controlsA record to inspect.
Execution history preserves recorded events alongside the session. Review the path to a result, including decisions and tool activity.
Explore the details04 / Different perspectives. Shared work.
Built around the people
behind the prompt.
Find the path
through a project.
Explore a repository, understand a boundary, or prepare a change plan. Start with scoped project material and a result that a person can check.
A useful first task
Map a request through the codebase.
Map a request through the codebase.
Turn information
into a clear decision.
Compare technical proposals against the same criteria. Ask for references, assumptions, and open questions—not just a confident conclusion.
A useful first task
Compare two supplied proposals.
Compare two supplied proposals.
Make model capacity
useful to a team.
Explore how an operated model connection fits a shared workspace. Establish the task, policy, data destinations, and operating responsibilities together.
A useful first conversation
Define a bounded preview workflow.
Define a bounded preview workflow.
Starting points to evaluate with your team, not claims of qualified customer outcomes.
An enterprise direction
Ambitious about
what comes next.
Precise about
what’s here.
Explore the preview scope Choice should be meaningful.
Understand the connection, its capabilities, and its data path. Model independence starts with knowing what you are actually using.
Control should be understandable.
A policy is useful when people can see what it means for the work. Make the requested action and decision visible.
Confidence should come from evidence.
A saved result, a recorded decision, a repeatable check. Enterprise assurance is something to demonstrate as the product develops.
What is Aliion building?
Aliion is building Kalamos, a model-agnostic AI workspace. It brings configured model connections, persistent sessions, shared queue visibility, configurable tool policies, and execution history into one working environment. The product is in preview.
Is Kalamos another AI model?
No. Kalamos is the workspace around a model. Inference comes from a configured model connection. Kalamos organizes the task, tool activity, decisions, and retained session around that connection.
Who is the preview for?
Engineering and research teams that already have a useful model connection and want to explore a bounded project workflow. A good starting point is a project map, a technical comparison, or a planning document with an agreed definition of useful output.
Can we use our own infrastructure?
Compatible locally or remotely operated model servers are a connection path. Hosting, networking, identity, and support arrangements need to be established for the actual deployment. Contact Aliion to discuss your environment and workflow.
Does every tool action require my approval?
Approval depends on the active tool policy and execution path. The walkthrough deliberately shows an approval-required example; it is not a promise that every action in every deployment waits for a person.
How do we get access?
Contact Aliion to discuss a demo and preview fit. Access is arranged directly. Existing users can open Kalamos using the sign-in link. The examples on this website run locally in your browser and do not call a model.
The next step starts with a conversation
What will you
put intelligence to work on?
Bring a workflow, a model, or a question.
Let’s explore where Kalamos fits.