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The interface
Mira Desktop
One workspace for all use cases. Teams ask questions, review sources, and initiate next steps without switching between systems.
Mira OS · Sovereign AI platform for industrial mid-market companies
Successful AI transformation starts with your data.
Mira OS connects and structures data across ERP systems, databases, and documents with a high degree of automation. It turns that data into governed business context with source citations and access controls. Business teams use it in Mira Desktop for customer service, production, and knowledge work; other applications connect through MCP and API.
Our launch packages take the first use case into production. Every use case that follows builds on the same data and permissions foundation.
Your systems
ERP · SAP · Oracle
SQL · MES · QMS
Tickets · Documents
Email · Collaboration
OutlookNotionConfluenceSharePointOneDriveGoogle Drivemonday.comSlackMicrosoft Teams
Remain unchanged
Mira Kontext Engine
Builds business context automatically
01Analyses
02Connects
03Updates
04Enforces access
One governed business context
Two ways to access it
Mira Desktop
Every use case in one workspace
MCP & API
For your applications, AI agents, and third-party tools
ClaudeChatGPTOpenCodePi Coding Agent
Selected mid-market organisations and technology partners
01 · Use cases
Where should Mira make an impact first?
Three clearly defined use cases in Mira Desktop.
Typical question
A customer reports error E-204 after update 4.2. What is the fix?
Operational benefits
- Less research before the first response
- Fewer escalations to key specialists
- More consistent resolutions across the team
Measured by
Resolution timeFirst-contact resolution rateEscalations to specialists
Mira Desktop · Service Intelligence
Fictional helpdesk data.
AgentCustomer reports error E-204 after the update – what's the fix?
MMira
- Searching helpdesk for “E-204”…
- Found 3 matching tickets · 2 resolved
- Reading the resolution on #4471…
- Checking who else was affected…
- Writing a cited answer…
Known issue since the 4.2 update. Fix: roll back the cache config – see ticket #4471 (resolved by D. Klein, 12 Mar). The same workaround went to 3 other customers; KB-218 has the step-by-step.
SourcesOnly sources this agent may access.
02 · Launch packages
From the first use case to AI at scale.
Our packages make the move into productive AI clear and manageable. We take a defined workflow into production with a transparent scope, agreed acceptance criteria, and a fixed timetable — based on the package that fits your systems and integration requirements. You then use Mira on a subscription basis and expand the platform step by step.
Every package includes
One production use case in Mira Desktop
One clearly defined workflow
Three to five prioritised data sources
A roles and permissions model
Success measures and acceptance criteria
A pilot workspace
Business acceptance testing
Handover into operations
Three ways to get started
Fast start → robust data foundation → organisation-wide scale
Choose the package that matches your systems and integration complexity. Sources, permissions, and relationships that have already been connected remain available for future use cases.
- Package 01Get started
Standard connectors
Launch Package
A fast route to the first production use case
- Standard sources connected
- First workflow available in Mira Desktop
- Success measures and acceptance criteria defined
Usable results within 24 hours
after confirmed source access · typically completed within 14 days
- Package 02Build the foundation
SQL & data warehouse
Database Package
A robust, reusable data foundation
- Everything in the Launch Package
- Relational context from SQL databases and data warehouses
- A foundation for further use cases
2–4 weeks
To project completion
- Package 03Scale
ERP · MES · Specialist systems
Enterprise Package
Scale across the organisation
- Everything in the Database Package
- Business context across multiple systems
- Governance for multiple functions and use cases
From 4 weeks
To project completion
Cumulative package scope
03 · Technology
We automated data engineering.The result is the Mira Kontext Engine.
Your systems
- SharePoint · OneDrive
- Confluence · Notion
- Outlook · E-mail
- SQL databases
- ERP · SAP · Oracle
… stay exactly as they are.
Mira Kontext Engine
Analyze · Index · Answer
- 01
Schema & structure analysis
Algorithms analyze relational databases, ERP tables, and unstructured files on their own — no manual data engineering required.
- 02
Semantic context index
All sources are linked in one central, dynamic index — relationships across system boundaries, retrievable in seconds.
- 03
Role-based answer layer
Every answer respects existing access rights, cites its sources transparently, and remains fully auditable.
- Role-aware
- Source-cited
- Audited
- EU-hosted
Your team & applications
- Teams · Slack
- Claude · ChatGPT
- Web app & intranet
- Your own AI agents
- API & MCP endpoints
Answers with citations.
The Mira Kontext Engine connects existing systems, data relationships, and access permissions to create governed business context.
The Mira OS stack: from fragmented data to secure, source-cited answers
THE INTERFACE
Mira Desktop
The workspace for agentic workflows – your team asks questions, verifies sources, and triggers recurring tasks. Every answer includes source citations.
CONTEXT DELIVERY
Mira Kontext API & MCP
The same context for your own applications, automations, and AI agents – via REST and MCP endpoints, with role-based access built in.
THE KNOWLEDGE INDEX
Mira Knowledge Layer
Fragmented enterprise data becomes AI-ready context – one semantic index that connects knowledge across system boundaries.
THE FOUNDATION
Mira Kontext Engine
Automatically analyses and indexes your existing data – role-aware, source-cited, and auditable. Your systems remain unchanged.
Mira Desktop, MCP, and API use the same context — for business teams, your own applications, and AI agents.
One data foundation that grows with your needs — for Mira Desktop, applications, and AI agents.
The Mira Kontext Engine connects systems, data relationships, and access permissions once. Business teams use this foundation in Mira Desktop; your applications and AI agents access it through MCP and API.
The interfaces
Mira Kontext MCP & API
The same governed context for your applications and third-party tools. AI agents, specialist systems, and automations access it through MCP and REST — with role-based controls, source citations, and logged access.
MCP and API for IT leaders04 · Sovereignty
You retain control of your data, models, and access.
Sovereignty means more than EU hosting. You choose the operating model, model connections, and access rules. Mira provides source-cited answers and keeps system access traceable.
EU cloud or your own infrastructure
Run Mira in European data centres, your private cloud, or your own infrastructure.
Flexibility in model selection
Change models without rebuilding the governed business context. Company data is not used to train external models.
Permissions and traceability
Existing permissions apply in Mira Desktop and through MCP and API. Answer sources and system access remain traceable.
05 · Change management
Successful AI transformation is a leadership responsibility.
Mira is responsible for the platform and its operation. Where required, selected implementation partners support process design, implementation, training, and organisational change.
Explore implementation and change management01
Establish accountability
Agree the target state, owners, and success criteria before work begins.
02
Equip your teams
Train employees in their real workflows rather than abstract AI scenarios.
03
Embed adoption
Monitor usage, remove obstacles, and prioritise further use cases.
06 · Team
One team for the critical elements of your AI transformation.
The Mira team brings together product development, AI architecture, enterprise integration, and adoption. Technical delivery and successful day-to-day use are aligned from the outset.
Meet the team behind Mira07 · Faster with every use case
The first launch creates the foundation. Every use case that follows starts faster.
Connect once→reuse across use cases
Use case 1
ConnectThe context foundation is created
Sources, permissions, and the first workflow are connected and approved by the business.
Foundation in place
Use case 2
ReuseThe context expands
Existing sources, permissions, and rules are reused for another workflow.
More reuse
Use case 3+
ScaleNew use cases start faster
More business functions use the existing foundation in Mira Desktop or through MCP and API.
Existing foundation reused
08 · FAQ
Key questions about our packages.
The next step
Where could Mira create the most value?
See Service Intelligence, Shopfloor Intelligence, or Knowledge Work live in Mira Desktop — and identify the sources and package required to put it into operation.