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Multimodal AI • Edge Intelligence • Autonomous Systems
ConvData AI Labs builds cloud-to-edge AI systems that integrate sensing, perception, reasoning, and autonomous execution. Our work spans multimodal signals—video, audio, text, biosensing, IMU motion, satellite imagery, and telemetry—transformed into operational, clinical, and engineering intelligence.
From conversational interfaces to embedded inference on devices, our platforms are
engineered to operate continuously, adapt from feedback, and align safety with automation.
AI not as a feature—AI as an active, deployed system layer.
Fusion across video, speech, IMU motion, acoustic patterns, biosignals, telemetry and structured enterprise data.
Large language models, agentic workflows, multimodal alignment and real-time decision orchestration at scale.
Low-latency inference, model streaming, lifecycle tracking and secure deployment across cloud cores and sensor devices.
AI designed not as isolated models, but as interconnected sensing, inference and execution layers across the enterprise.
Speech, video, telemetry, text and biosignals interpreted as a unified narrative rather than independent streams.
Policy-grounded automation, oversight loops and transparent actuation ensuring control remains human-aligned.
Cloud streaming, edge optimization and containerized runtimes letting AI operate in motion, not just in training.
Continuous retraining, live drift telemetry and versioned rollouts sustaining intelligence in changing environments.
Multi-agent orchestration built for workflow execution, scalability and secure task delegation.
Cloud-native inference layers, multimodal encoders, sensor-driven models, graph reasoning, agent frameworks, federated learning flows, and low-latency edge deployment make up the core runtime of our product ecosystem.
Our platforms serve healthcare systems, industrial telemetry networks, autonomous mobility, security operations, satellite sensing workflows, retail decision hubs, and cloud enterprise orchestration in mission-relevant environments.
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