The Enterprise AI Context Layer

Orbis AIOrbis AI
Your company already has the data.
Orbis AI connects the context.

Instead of asking AI to understand your company from isolated tools, Orbis AI builds a living context graph so AI understands not only what happened, but why it happened, who was involved, what depends on it, and what should happen next.

Turn your organization's scattered information into one connected company brain.

Context pipeline
01
Capture
Sense the world.
02
Consolidate
Organize and distill.
03
Link
Connect ideas across time.
04
Recall
Retrieve the right memory.
Context gap

AI is powerful. Context is the missing layer.

Modern organizations generate enormous amounts of information every day.

  • Conversations happen in Slack, Teams, or chat.
  • Decisions are buried inside meetings.
  • Tasks live inside project-management systems.
  • Requirements exist inside documents.
  • Customer information sits inside CRM systems.
  • Engineering work lives inside tickets and repositories.
  • Emails contain critical decisions.
  • And the relationship between all of this information is usually lost.

Traditional AI can retrieve information. Orbis AI is built to understand the relationships between information.

Because an answer without context is often just a guess.

Architecture

Your Company Brain

Think of Orbis AI as the company brain that sits above your existing systems. Explore a live context graph click any node to see what it is, whom it links to, and why those relationships exist.

Context Graph

Visualize entities, decisions, and causal relationships across your organization

Entity types

Tap a node to inspect · Pinch to zoom · Drag to pan

What happened

What was discussed, created, changed, completed, or decided.

Why it happened

The business context, decisions, requirements, and historical reasoning behind it.

Who is involved

People, teams, owners, stakeholders, decision-makers, and subject-matter experts.

What is connected

Related conversations, documents, projects, meetings, tasks, customers, and decisions.

What happens next

Dependencies, unfinished work, upcoming actions, risks, and relevant follow-ups.

This creates a continuously evolving model of how your organization actually works.

Intelligence

From Information Search to Context Intelligence

Traditional search

“Where is the document?”

Orbis AI

“What do I need to know about this?”

Traditional AI can answer a question from a document. Orbis AI can connect the document with the meeting where it was created, the people who discussed it, the project it belongs to, the tasks generated from it, and the decisions that changed it.

Information tells you what exists.

Context tells you what it means.

Orbis AI connects both.

Relationships

What can Orbis AI understand?

People ↔ Teams

  • ?Who owns what?
  • ?Who is responsible for a specific area?
  • ?Who has worked on a similar problem before?

Meetings ↔ Decisions

  • ?Where was a decision made?
  • ?Who participated?
  • ?What changed because of that decision?

Documents ↔ Projects

  • ?Which project does this specification belong to?
  • ?Which requirements are affected?

Tasks ↔ Conversations

  • ?Why was this task created?
  • ?Which discussion initiated it?

Projects ↔ Outcomes

  • ?What is the project trying to achieve?
  • ?What work is still blocking it?

Customers ↔ Business Activity

  • ?What has the customer requested?
  • ?What commitments have been made?
  • ?Which teams are involved?
Integrations

One Context Layer. Your Entire Organization.

Orbis AI

Context layer

Authorized signals flow from your tools into Orbis AI

Slack
Teams
Email
Jira
Asana
Calendar
Google Drive
Notion
Confluence
Trello
GitHub
CRM
Continuous context ingestionAuthorized data onlyAPIs · Webhooks · MCP

And beyond Orbis AI extends through connectors, webhooks, and MCP-based integrations, allowing organizations to bring their own systems into the context layer.

Capabilities

What can you do with Orbis AI?

01

Ask questions across your organization

Instead of searching multiple tools, ask one question.

“What was decided about the enterprise pricing model and what tasks were created from that decision?”

Orbis AI can connect the relevant conversations, meeting decisions, documents, tasks, and owners.

02

Understand projects instantly

“Give me the complete context of Project Phoenix.”

Orbis AI can bring together project objectives, relevant meetings, important decisions, current tasks, dependencies, people involved, documents, risks, and outstanding actions without requiring someone to manually reconstruct the story.

03

Prepare for meetings

Before a meeting, Orbis AI can surface previous discussions, open decisions, relevant documents, unresolved questions, outstanding tasks, customer context, and recent changes.

So teams start with context instead of spending the first 15 minutes reconstructing history.

04

Understand why a task exists

A task should not exist without context. Ask: “Why was this task created?”

Orbis AI can trace it back through the relevant discussion, requirement, meeting, decision, project, and owner.

05

Discover organizational knowledge

Ask who has experience with a topic or who worked on a prior initiative.

“Who has experience with payment infrastructure?” or “Who worked on our previous enterprise onboarding project?”

Orbis AI can use organizational context to help discover the people, work, and knowledge connected to a topic.

06

Detect missing context

Orbis AI can help identify situations such as:

A task with no clear requirement; a project with no recent activity; a decision with no documented owner; a customer request without follow-up work; a discussion that created an action but never resulted in a task. This is where context becomes operational intelligence.

Audience

Who should use Orbis AI?

Startups

As teams grow, knowledge becomes fragmented rapidly. Orbis AI helps preserve organizational memory so important decisions do not disappear inside individual conversations.

Growing companies

When multiple teams and systems appear, information becomes harder to connect. Orbis AI creates a shared context layer across departments.

Enterprises

Large organizations have enormous amounts of information distributed across hundreds of systems. Orbis AI helps create a common context layer while respecting existing access boundaries and system ownership.

Product & Engineering Teams

Connect requirements, discussions, meetings, decisions, projects, tickets, releases, and technical knowledge.

Leadership & Management

Understand what is happening across the organization without manually gathering updates from every team.

Customer Success & Sales

Connect customer conversations, meetings, requirements, commitments, tickets, and internal actions.

AI-First Organizations

Orbis AI provides the organizational context required for internal AI agents to operate with deeper awareness of the company.

AI Agents

Orbis AI for AI Agents

The future of enterprise AI is not one giant assistant it is a network of specialized AI agents operating with shared organizational context. Orbis AI provides the context foundation for those agents.

  • A sales agent can understand customer history.
  • A product agent can understand requirements.
  • An engineering agent can understand technical decisions.
  • An HR agent can understand organizational policies.
  • A leadership agent can understand business activity.

One company context.

Many intelligent agents.

One source of organizational understanding.

Deploy

Deploy Orbis AI where your organization already works

Orbis AI Workspace

A dedicated AI interface for searching, exploring, and reasoning across organizational context.

Orbis AI inside your existing dashboard

Embed Orbis AI directly into your internal applications or business software.

Orbis AI Agent

Deploy Orbis AI as an AI agent connected to your systems and workflows.

Orbis AI via MCP

Connect Orbis AI with compatible AI applications and agents through MCP so external AI systems can access authorized organizational context.

This makes Orbis AI more than an application it becomes an intelligence layer your organization can plug into wherever AI is needed.

Process

How it works

01

Connect

Connect the systems your organization already uses chat, email, meetings, documents, project management, CRM, engineering systems, internal applications, APIs, and more.

02

Understand

Orbis AI ingests authorized information and identifies entities, relationships, topics, decisions, people, projects, actions, and dependencies.

03

Connect

Information is linked into the Context Lineage Graph conversations to decisions, decisions to tasks, tasks to projects, projects to customers.

04

Reason

AI can now reason over connected organizational context rather than isolated documents.

05

Act

Use that context to answer questions, generate insights, prepare meetings, identify actions, support workflows, and power AI agents.

Governance

Designed around organizational permissions

Enterprise context cannot mean unrestricted access. Orbis AI respects the permission model of the systems it connects to. Users only receive context they are authorized to access.

Data sourcesConnected workspacesUsers and teamsAccess permissionsAI agent accessRetention policiesData boundariesAdministrative controls

Your company owns its organizational context.

Pricing

Pricing

Orbis AI is priced on how much organizational context you connect and operate not on prompt count alone. Plans combine platform access with bundles for connections, storage, deployment, setup, and support.

Context Starter

Pilot one team with a bounded context footprint

From $50 / month

Platform bundle + metered overage on storage & processing

Connections
Up to 5 active connectors (e.g. chat, docs, tasks)
Context storage
250 GB context storage · 12-month retention
Deployment
Laxsis-managed cloud (shared region)
BYOD
Not included
On-premise
Not available
Setup & onboarding
Self-serve connector setup · optional assisted setup (one-time fee)
Support
Standard documentation, email, 2 business-day response

Capabilities

  • Single workspace & organizational search
  • Context-aware AI conversations
  • Projects, tasks & meeting context
  • Basic context lineage graph
  • Standard integration catalog
  • Usage dashboards for storage & ingestion
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Context Pro

Cross-system context for growing, AI-first teams

From $150 / month

Scales with connectors, storage tiers & AI usage pools

Connections
Up to 25 active connectors · custom webhooks & MCP
Context storage
2 TB included · configurable retention (up to 36 months)
Deployment
Dedicated cloud tenant · optional private networking add-on
BYOD
Available bring your object store / vector DB (BYOD surcharge)
On-premise
Not included (cloud only)
Setup & onboarding
Guided implementation (40 hrs included) · connector playbooks
Support
Priority 8×5 chat & email · 8-hour response · quarterly reviews

Capabilities

  • Everything in Starter, plus cross-system context
  • Advanced lineage graph & project intelligence
  • Meeting intelligence & context workflows
  • MCP access for internal agents
  • Advanced admin, SSO-ready identity
  • Overage pricing for storage & processing published upfront
Get Started

Enterprise Context

Org-wide context layer with deployment choice

Custom quote

Priced on connections, storage, deployment model & SLA

Connections
Unlimited / contract-defined connectors · enterprise APIs
Context storage
Custom storage & retention · archival & legal hold
Deployment
Cloud dedicated, BYOD, or full on-premise
BYOD
Included options your cloud account, keys, and data residency
On-premise
Available air-gapped, VPC, or customer data center
Setup & onboarding
Dedicated solutions engineer · migration, SSO/SCIM, runbooks
Support
Enterprise 24×7 option, named TAM, custom SLA & observability

Capabilities

  • Unlimited organizational systems (within contract)
  • Custom connectors & MCP infrastructure
  • Advanced permissions & governance
  • Private networking, SSO / SCIM, custom retention
  • Custom AI agents & enterprise observability
  • Volume commits for ingestion, storage & AI usage
Talk to Enterprise

What drives your quote

  • Workspace users & agent seats
  • Active system connections (connectors)
  • Context storage & retention period
  • Ingestion & graph processing volume
  • AI reasoning & workflow usage
  • Deployment: Laxsis cloud, BYOD, or on-premise
  • Implementation setup & migration
  • Support & success services

Overage rates apply when you exceed included connection, storage, or processing bundles. Enterprise agreements can mix cloud, BYOD, and on-premise components under one contract.

Adoption

Start small. Build your company brain over time.

You don't need to connect everything on day one. Start with one team. Connect your project management system. Add meetings, documents, and communication then expand. Orbis AI continuously builds more context as more systems become connected.

Your company brain grows with your company.

Enterprise stack

The Enterprise AI Stack is changing

Systems of Record

Your CRM, HRMS, ERP, databases, documents, project systems, and communication platforms.

Systems of Context Orbis AI

The layer that understands how those systems, people, decisions, and activities relate to one another.

Systems of Intelligence

AI assistants, copilots, autonomous agents, and business applications that use that context.

Your systems store the information. Orbis AI connects the meaning. AI uses that context to act.

Future

The future of enterprise AI needs context.

AI models will continue to become more capable but an intelligent model without organizational context still does not understand your company. The real competitive advantage is giving AI the ability to understand your people, work, decisions, history, systems, and goals.

That is what Orbis AI is built to do.

Build your company's context layer

Connect your organization. Build your context graph. Give your AI access to the right information. Create a continuously evolving company brain.

Orbis AI

The Enterprise AI Context Layer.

Connect your company. Understand your context. Unlock intelligent work.