Data room access
Full technical documentation →In 1960 Theodore Maiman fired the first laser. Within a year — 1961 — that laser was pointed at a target and its echo timed to measure distance. That experiment defined LiDAR, and the logic has never been replaced: emit a pulse in a known direction, time the echo, convert time to range, one direction at a time. Spinning mirrors, MEMS, optical phased arrays, FMCW — six decades of new packaging on a 1961 principle. The principle never changed, and neither did its built-in costs.
Our surround-sensing architecture replaces that principle outright. The result is a system with no moving parts and no beam-steering mechanism, in which resolution no longer costs hardware, and whose output is causal and AI-native from the first measurement rather than reassembled from an anonymous point cloud.
See how it's built →Resolution
Decoupled from hardware
Moving parts
None · no beam-steering mechanism
Output
Causal · AI-native
This isn't a problem a better supplier or a smaller chip can fix. It falls directly out of the founding principle — and it compounds.
You cannot file the corners off an architecture whose corners are the architecture. It has to be reinvented at the root.
Resolution is bought with hardware
More points means more laser–detector channels. Cost, power, and heat scale with resolution because nothing decouples the two.
More channels, more failure points
Every added channel is another element to align, calibrate, and synchronize. Reliability falls with every link in the chain.
Something always moves — or is steered
Addressing many angles with few emitters demands a rotating mirror, a MEMS hinge, or a calibration-hungry steering loop. Moving parts wear and drift; the reliability ceiling mechanical and MEMS scanning keep hitting.
Precision fights robustness
Both are squeezed from the same overworked per-channel pipeline. Faster and more sensitive also means costlier and more fragile.
The data is born meaningless
Independent channels yield an anonymous point cloud. The causal structure of the scene is discarded at the sensor and guessed back in software.
CPSI is a ground-up reinvention: every layer of the LiDAR stack delivers a different result, and the intelligence in the data is a property of the system itself, not a software layer added after it. The physics and methods behind each layer are set out in full in the technical data room.
Signaling
Radically fewer components
Where conventional systems run many independently-driven channels, this layer collapses to a fraction of the parts — less to synchronize, less to fail.
Illumination + Steering
No moving parts, no steering electronics
Beam direction is established without a rotating mirror, a MEMS hinge, or an active phase-control loop. Nothing moves; nothing needs runtime calibration.
Detection
Resolution decoupled from hardware
Angular resolution rises without adding detectors or signal chains. Hardware complexity stays flat — the cost curve that breaks conventional LiDAR simply doesn't apply.
Timing
Deterministic precision
Range precision is set by the design, not by the jitter and drift of conventional timing electronics.
Signal Integrity
Immune to mutual interference
Crosstalk between units — the inherited failure of dense deployments — is rejectable by design, so performance holds in traffic.
Scene Comprehension
Causal, AI-native output
The system produces a structured, causal representation of the scene — not an anonymous point cloud that software must interpret after the fact. The intelligence is in the architecture.
This redesign is the convergence of two deep capabilities. The first is a new physical principle of operation — a different way to send and steer light that removes the moving parts, the channel count, and the cost the 1961 architecture builds in. The second is an AI foundation for comprehension, so the system understands the scene it observes rather than merely recording it. Engineering both together is what makes this a paradigm shift rather than an incremental gain — and why simplicity, reliability, and cost all move in the same direction instead of trading off against one another.
The same architecture runs in more than one operating mode — a primary mode for the broad case and a complementary mode for the most demanding conditions — both on identical hardware. That builds redundancy and adaptability into a single unit: it can match its sensing strategy to the moment and degrade gracefully rather than fail outright, which is decisive wherever the system is mission-critical.
The complete architecture is detailed in the data room, under NDA.
Field of view
360° simultaneous
Moving parts
None
Detector count
One · regardless of resolution
A sensing system architecture to comprehend the surroundings.
For sixty years LiDAR's founding principle never changed. Now it does — reconsidered at every layer, from how light is sent to how the scene is understood. The complete architecture is available to qualified parties under NDA.