We accelerate your AI journey from hardware architecture to deployment cutting integration time by up to 80%.
Choose the right compute for the job across Jetson, Qualcomm, Hailo, x86, and cloud GPUs. Size for model mix, power, thermals, and cost.
Convert and tune models to target hardware. Apply quantization and device specific level acceleration to meet latency and power targets with verified accuracy.
Build video and sensor pipelines with GStreamer. Add custom operators for tracking, fusion, metadata, and event streaming with real time analytics.
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Package workloads with Docker or native OS. Set up CI/CD, observability, and safe rollout strategies. Integrate with your dashboards, VMS, SCADA, or data lake.
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Up retraining loops, validation suites, and compliance artifacts. Operate releases with security updates, monitoring, and scheduled maintenance.
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Everything you need to know about Condor AI Hardware, Edge AI Orchestration Platform, and AI Engineering Services
We design, build, and run real-world AI with one unified stack: edge AI hardware and cameras, KALKI (our all-in-one platform), integrated solution kits, and engineering services. You can adopt one piece or the whole stack.
We champion Edge AI for latency, cost, and privacy benefits. We also support hybrid patterns when cloud is useful for storage, analytics, or aggregation.
A single suite for hardware + software + platform + delivery. Devices are tuned with hardware-defined software, and fleets are managed by KALKI for onboarding, updates, security, and telemetry so pilots become production.
Raptor (dual-sensor AI camera) is available now. Falke (compact single-lens AI camera), DashCam (AI powered compact camera for edge scenario)and Edge Gateway (on-prem compute for existing IP cameras) are coming soon.
