Quantum sensors that keep workingwhen they leave the lab.

We build the layer between a quantum sensor head and the system that uses it: readout without dead zones, firmware generated from checked physics, calibration that refuses impossible data, and secure telemetry.

sensor headNV diamond · atom interferometerthe layer we buildreadout without dead zonesfirmware generated from checked physicscalibration that refuses impossible datasecure telemetryyour systemnavigation filter · lab software · networkwhere fieldsensors breaktoday, rebuilt by handby every team

Indore, Madhya PradeshNewly foundedFirst product in developmentReadout patent pending

Pre-registered claims passed, physics-checked AI22 of 33

Attacks and tests that got through, BlackPhantom0 of 121

Planted physics bugs kept out of firmware, Phy20 of 35

The problem

Quantum sensors fail in the layer around the physics

Atom-interferometer gravimeters and gradiometers, NV-diamond magnetometers and atomic clocks work beautifully on a quiet lab bench. On a ship, a vehicle, an aircraft, at a mine or in orbit they struggle, and the physics is not the reason. Every team building a sensor head rebuilds the layer around it by hand.

Dead zones

Common readouts lose all sensitivity near particular phases, so the sensor goes blind exactly where the signal moves. The readout →

Lost locks

Feedback locks that hold on a quiet bench drop out when the platform moves. The readout →

Drift

Calibration drifts between factory visits, and nobody can say which physical effect caused it. Physics-checked AI →

Silent errors

A wrong unit, sign or term in hand-written firmware compiles, runs and ships. Phy →

Untrustworthy AI

Data-only correction models fail silently outside their training data and can output physically impossible values. Physics-checked AI →

Exposed data

Sensor data for navigation and defence travels over links that a future quantum computer could decrypt. BlackPhantom →

The idea

One checked physics model drives everything

We write a sensor’s physics once, as checked equations with their units, their limits and their source, and derive everything else from that one model. Nothing is copied by hand between the simulation, the device and the test.

Individually, each part exists elsewhere in some form. What is ours is the combination: one checked model feeding readout, firmware, calibration, twins and security, with evidence for each part.

one checkedphysics modelequations · units · limits · sourcethe digital twinsimulates the sensor and its missionthe firmware, generated as Cruns on the devicethe calibration limitswhat the AI may learn, what it must refusethe testsevery built unit is checked against thema change to the physics reachesthe device checked at every step
Inside

Each part, with the evidence for it

The field readoutNever goes blind and needs no feedback lock, so it keeps measuring when the platform moves.PhyA programming language in which the physics equations are the code.Physics-checked AILearns only what the physics leaves open, and refuses data that breaks physical limits.BlackPhantomA post-quantum secure channel, containment for untrusted code, and encrypted storage.Digital twinsWe trust a model only after it reproduces someone else’s published result.The Edge ModuleThe first product: a readout, control and compute board, with its firmware.Space LabResearch software for spacecraft that must judge their own data far from Earth.
Where it is used

Navigation without GPS

Quantum aids for inertial navigation where satellite signals are absent, jammed or untrusted.

Magnetometry

NV-diamond sensing for geophysics, materials and biomedical research instruments.

Test and measurement

Verified readout, calibration and twins for research set-ups that have to be trusted.

Space platforms

On our roadmap: compact, self-checking sensors and onboard software for platforms that cannot be recalibrated by hand.

Where it started

The readout came out of the founders’ own research on GHZ interferometry. An early model seemed to beat the standard quantum limit. Checking it found that the apparent gain came from modelling errors.

What survived the check was the readout that never goes blind, and the habit of checking everything that now runs the company.