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🔷 MiniMax M2.5 – UK Sovereign Execution Layer
Pricing to be confirmed
UK Launch Model
MiniMax M2.5 is deployed as a UK-installed AI execution system, enabling organisations to move beyond conversation into real-world task delivery within a controlled and jurisdictionally aligned environment.
It supports coding, tool use, search, and multi-step workflows, allowing AI to interact with systems, process information, and carry out tasks across applications and data. While the underlying model may originate externally, its performance, behaviour and outputs are governed locally, ensuring that execution remains aligned with UK operational, regulatory and societal requirements.
Rather than simply generating responses, MiniMax enables structured, task-driven behaviour. This allows AI to plan, act, and complete operations within defined control boundaries, making it well suited to environments where outcomes matter as much as insight.
Typical use cases include:
Coding & Development Support – generating, debugging, and refining code
Process Automation – executing repeatable workflows across systems
Multi-Step Tasks – handling sequences of actions and decisions
System Integration – connecting AI into existing tools, data, and platforms
By enabling AI to operate across multiple steps and systems, MiniMax supports more complex and integrated workflows than traditional single-response models, while maintaining control of execution within the jurisdiction of deployment. This allows organisations to automate processes, accelerate development, and embed AI directly into operational environments without compromising governance.
It also provides a flexible approach to task execution, where workflows can adapt dynamically based on inputs, results, and context, while remaining subject to local control and oversight.
MiniMax forms the execution layer within our platform, working alongside core models to turn intelligence into action. It enables organisations to move from analysis and response into automation and delivery, supporting more efficient and scalable ways of working within a sovereign operational framework.
Deployment Model
MiniMax M2.5 is initially offered through a tokenised access model, providing organisations with immediate access to advanced AI execution capabilities without the need for upfront infrastructure deployment. This is delivered on SambaNova SN40L16 systems.
As requirements evolve, this can transition to dedicated client environments, including installation on client-specific machines or clustered infrastructure. This enables organisations to progressively increase levels of control, performance and isolation, aligning deployment with operational, regulatory and sovereignty requirements over time.
This staged approach allows organisations to move from accessible entry into AI capability towards fully controlled, jurisdictionally aligned execution environments, without disruption to workflows or systems.
Location and Availability
MiniMax M2.5 is deployed from UK-based infrastructure, with initial capability located in Manchester. Additional locations are planned across the South of England, Scotland and Wales, supporting broader geographic resilience and coverage.
UK sovereign deployment, with infrastructure and control located in Manchester, is expected to be available from 1 May 2026, with options for dedicated client machines and clustered environments.
Dedicated provision for clients requiring private deployment is expected to be available within 120 days of order placement.
Pricing to be confirmed
UK Launch Model
MiniMax M2.5 is deployed as a UK-installed AI execution system, enabling organisations to move beyond conversation into real-world task delivery within a controlled and jurisdictionally aligned environment.
It supports coding, tool use, search, and multi-step workflows, allowing AI to interact with systems, process information, and carry out tasks across applications and data. While the underlying model may originate externally, its performance, behaviour and outputs are governed locally, ensuring that execution remains aligned with UK operational, regulatory and societal requirements.
Rather than simply generating responses, MiniMax enables structured, task-driven behaviour. This allows AI to plan, act, and complete operations within defined control boundaries, making it well suited to environments where outcomes matter as much as insight.
Typical use cases include:
Coding & Development Support – generating, debugging, and refining code
Process Automation – executing repeatable workflows across systems
Multi-Step Tasks – handling sequences of actions and decisions
System Integration – connecting AI into existing tools, data, and platforms
By enabling AI to operate across multiple steps and systems, MiniMax supports more complex and integrated workflows than traditional single-response models, while maintaining control of execution within the jurisdiction of deployment. This allows organisations to automate processes, accelerate development, and embed AI directly into operational environments without compromising governance.
It also provides a flexible approach to task execution, where workflows can adapt dynamically based on inputs, results, and context, while remaining subject to local control and oversight.
MiniMax forms the execution layer within our platform, working alongside core models to turn intelligence into action. It enables organisations to move from analysis and response into automation and delivery, supporting more efficient and scalable ways of working within a sovereign operational framework.
Deployment Model
MiniMax M2.5 is initially offered through a tokenised access model, providing organisations with immediate access to advanced AI execution capabilities without the need for upfront infrastructure deployment. This is delivered on SambaNova SN40L16 systems.
As requirements evolve, this can transition to dedicated client environments, including installation on client-specific machines or clustered infrastructure. This enables organisations to progressively increase levels of control, performance and isolation, aligning deployment with operational, regulatory and sovereignty requirements over time.
This staged approach allows organisations to move from accessible entry into AI capability towards fully controlled, jurisdictionally aligned execution environments, without disruption to workflows or systems.
Location and Availability
MiniMax M2.5 is deployed from UK-based infrastructure, with initial capability located in Manchester. Additional locations are planned across the South of England, Scotland and Wales, supporting broader geographic resilience and coverage.
UK sovereign deployment, with infrastructure and control located in Manchester, is expected to be available from 1 May 2026, with options for dedicated client machines and clustered environments.
Dedicated provision for clients requiring private deployment is expected to be available within 120 days of order placement.