Build the advantage.
Specialist programmes across model performance, physical AI, enterprise agents and the data infrastructure behind them.
MCP integration engineering
Connect governed enterprise tools through versioned Model Context Protocol interfaces.
MES and manufacturing integration
Connect production records, equipment interfaces and enterprise workflows.
Microsoft Dynamics integration
Connect enterprise processes, data and applications to Dynamics workloads.
ML release engineering
Version, validate and deliver model artefacts through controlled release pipelines.
Mobile manipulation learning
Connect navigation and manipulation in end-to-end physical task programmes.
Model deployment migration
Move existing serving workloads to a reviewed deployment architecture.
Model distillation
Transfer task behaviour into a smaller model with quality and serving tradeoffs measured.
Model drift monitoring
Track task behaviour and input changes against agreed review thresholds.
Model quantisation engineering
Assess reduced precision serving against task quality and hardware constraints.
Model risk assessment
Assess intended model use, evaluation coverage and operating consequences.
Model serving reliability
Engineer rollout, monitoring and recovery for dependable model endpoints.
Monolith to modular architecture
Separate changeable application capabilities while maintaining operating continuity.
Multi agent coordination
Define role boundaries and handoffs for tasks requiring multiple specialist agents.
Multi cloud AI architecture
Design model access and operations across selected cloud environments.
Multi model serving
Host and route multiple models according to task, capacity and operational needs.
Multi robot fleet integration
Coordinate mission interfaces, traffic constraints and shared equipment interactions.
Multilingual corpus engineering
Curate multilingual corpora with provenance, quality and domain coverage.
Multilingual model adaptation
Improve task behaviour across selected languages and regional operating contexts.
Multilingual speech systems
Support selected language workflows with appropriate speech and evaluation components.
Multimodal instruction data
Connect images, language and task outcomes in a structured model-training corpus.
Multimodal retrieval
Retrieve useful evidence across text, images, tables and mixed documents.
Object tracking and scene understanding
Connect object movement and scene context to operating tasks.
On premises inference
Integrate model serving with enterprise compute, network and operating requirements.
OpenUSD asset pipelines
Prepare reusable simulation assets with consistent structure and material metadata.
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