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Brief & constraints
Workload profile, latency / power envelope, regulatory context, and target hardware. We refuse vague RFPs — we invent the measurement plan first.
Pioneering the synthesis of spatial computing, autonomous AI workflows, and advanced hardware engineering. We build the architecture for tomorrow's complex ecosystems.






Most vendors stop at software consulting or stop at a hardware demo. Traspire is built for the gap between them: display and optics R&D, heterogeneous acceleration engineering, a proprietary surveillance product, and the ML + annotation + systems work required to ship all of it in production environments.
We take scoped engagements with OEMs, security operators, industrial teams, and product organizations that need measurable performance — not slideware. Engagements start with a technical brief, a constraint set, and a clear deliverable: prototype, benchmark report, deployed pipeline, or production platform.
Services · Architecture
Optics, silicon, and systems that leave the lab.

Displays & holography
Glasses-free stereo and real-time computer-generated holography for medical, automotive, and industrial workstations.

Compute & graphics
Heterogeneous benchmarking, deep profiling, and SoC / GPU trade-off analysis for edge AI and cloud rendering.

Firmware & platforms
Firmware and systems programming, full-stack enterprise platforms, and technical architecture audits.
Services · Intelligence
Perception, models, and labelled data in production.

CNN + VLM platform
Proprietary hybrid CNN + VLM platform for real-time risk prevention and contextual scene understanding.

Models & MLOps
Full-lifecycle machine learning — architecture, training, optimization, MLOps, and production deployment.

Training data
Expert-labelled image, video, audio, and text datasets with domain protocols and multi-pass QC.
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Workload profile, latency / power envelope, regulatory context, and target hardware. We refuse vague RFPs — we invent the measurement plan first.
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Optical breadboard, SoC bake-off, edge model, or pipeline instrumentation. Early artifacts are meant to kill bad paths fast.
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Production packaging, MLOps, firmware, or operator tooling — with documentation your team can own after the engagement.