Prepare AI for real-world edge cases in the government and public sector
訓練 AI 系統以嚴謹的資料運作、嚴格的評估,以及專業的人力審查,回應現實世界政府與公共部門的應用需求。
Why Uber AI Solutions for the public sector?
Transform voluminous, real-world data into fine-grained spatial awareness and operational insights, leveraging Uber’s decade of experience deploying AI across dynamic physical environments.
Operationalize AI for complex environments
Train AI and autonomous systems for the field with the precision to handle messy, real-world edge cases, even as public sector mandates for autonomous systems shift.
Ensure compliance and auditability
Mitigate risk and bias with comprehensive AI evaluations. Our workflows can isolate hallucinations, reasoning gaps, and biases, helping to align with federal guidelines, including EO 14409 and NSPM-11.
Access a global network and domain expertise
Scale data collection and annotation with domain-matched human intelligence. Capture the hyperlocal context or depth required by tapping into Uber’s vast global network and domain specialists.
Use high-fidelity data annotation, ground-truth collection, and independent model evaluation
Gather hyperlocal ground-truth data
Capture multimodal ground-truth feeds, including dashcam video, 360° imagery, audio, and spatial telemetry across diverse physical environments using our data collection capabilities.
Enable high-resolution perception data
Synchronize 2D imagery, 3D LiDAR point clouds, radar, and video into a single interface. Combine 6 DoF cuboid vectors, voxel occupancy grids, temporary occlusion tracking, and precise track IDs across time sequences to enable data for dynamic object avoidance and tactical autonomy.
Validate AI before it enters the field
Evaluate generative, agentic, and multimodal models for structural reasoning and operational readiness before they enter the field. Utilize red teaming, prompt-response ranking, and model stumping for edge cases to help uncover vulnerabilities and hallucinations.