DehazeLabs builds the telemetry, perception, and multimodal AI systems behind data centers, telecommunications networks, smart cities, and industrial operations. From GPU rack onboarding to real-time SIEM to edge ML at scale — we ship the systems that make AI work in the real world.
Real-time telemetry, observability, and agentic operations for GPU clusters, telecommunications networks, and critical infrastructure. We unify heterogeneous sensor and operational data, validate system readiness, and build the reasoning layers that turn telemetry into autonomous remediation.
Read more →Computer vision, sensor fusion, and ML inference for physical-world systems. We build the data platforms and inference pipelines behind smart-city perception, automated enforcement, logistics optimization, and industrial vision applications — turning sensor and vision data into actionable outputs.
Read more →End-to-end platforms for video, audio, and document intelligence at production scale. We design the data architecture, RAG pipelines, and agentic workflows that turn multimodal data into reliable enterprise outputs — reducing manual review by 90%+ in production deployments.
Read more →EdgeTelemetry ingests heterogeneous telemetry from GPUs, hosts, cooling, and infrastructure systems, normalizes it into a unified schema, and validates system readiness. Operators move from weeks of manual onboarding and fragmented dashboards to minutes of automated validation — and a foundation for autonomous diagnosis and remediation.
See product details →— Trusted by teams shipping AI in production —
DehazeLabs operates with US-based partnership leadership and an engineering bench across South Asia. This footprint gives us cost-advantaged delivery for North American mid-market and enterprise customers, and direct access to the Indian manufacturing ecosystem, the emerging Indian space sector, and the global capability centers operating data center and infrastructure functions out of Bengaluru and Hyderabad.
We embed engineers directly into customer teams. Implementations are designed to evolve as the underlying models do — built to last beyond the launch, with ongoing platform operation and SLA support.
Production data platforms processing high-volume telemetry, video, and operational data.
RAG and vector search, agentic workflows, multimodal pipelines, real-time ML inference, model evaluation and monitoring.
Embedded engineering teams, US partnership leadership, South Asia delivery bench, ongoing platform operation and SLA support.
→ Industries & use cases
We work with data center operators, telecommunications networks, manufacturers, and platform companies bringing AI into their core operations. Tell us about your roadmap.