Financial Services
Risk modelling, fraud detection, and algorithmic operations at institutional scale.
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We help businesses turn AI-driven change into measurable impact across operations, products, and growth.
Risk modelling, fraud detection, and algorithmic operations at institutional scale.
Clinical decision support, medical imaging, and compliant ML pipelines.
Predictive maintenance, computer-vision QA, and digital twins for the factory floor.
Recommendation, search, and demand forecasting that actually moves inventory.
Routing, ETA prediction, and AI-driven visibility across every shipment and node.
Grid optimisation, load forecasting, and emissions-aware operations at scale.
Perspectives, updates, and trends on the global AI and data landscape.

Before you sign an annotation contract, you have to interview the vendor. These are the SLA and security questions that separate a vendor who can back their pitch from one who cannot - and the answers that should make you walk away.

Multimodal robot training data - synchronized RGB, depth, force-torque, and audio - consistently outperforms single-modality datasets for contact-rich and dexterous manipulation tasks. This guide covers sensor selection, synchronization architecture, storage at scale, and QA for production multimodal collection programs.

Action segmentation annotation divides robot demonstrations into atomic action segments with class labels and temporal boundaries. Poor segmentation produces policies that fail at action transitions - the moments that most determine deployment robustness. This guide covers annotation taxonomy, IAA standards, and format compatibility with pi0, OpenVLA, and ACT pipelines.

IP protection is the top concern for Chinese robotics companies evaluating overseas data vendors. This guide covers the contractual provisions, technical safeguards, and operational controls that constitute genuine protection - and the weak measures that only appear to protect.
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