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Discuss an Engagement

Available01 / 03

Site assessment

Illustrative

SubstrateFused 4 layers · 1 frame

Question: Where to test
Criteria: 6 weighted
Vector: Stated
Hazards: Screened
Output: Ranked shortlist

Physical conditionsMeasured

// Physical AI evidence // Runtime nominal

Physical AI is advancing.Real-world evidence is the bottleneck.

Neicrone provides the real-world infrastructure for testing, validating, and governing Physical AI before production deployment.

We focus on the gap between simulation and production, beginning with site intelligence and structured validation engagements that produce traceable evidence of system behavior.

Discuss a site assessmentWhere can this system be deployed or tested?Request a validation engagementEnds in a Neicrone Evidence Record

Andromeda is live: open the console →

Software first · Edge instrumentation next
Physical validation built as capability and demand are demonstrated

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// SCOPE

We own the gap between simulation and production.

Not a robotics OEM

We do not build the robot. We measure how yours behaves.

Not another AI platform

We do not train or host your model. We produce evidence about it.

Not a simulation company

Simulation helps teams develop and evaluate systems in digital environments. We focus on the physical conditions, measurements, and traceable evidence needed outside it.

Recognition

Member of NVIDIA Inception

NVIDIA's global program for AI startups.

Also supported by AWS Activate, Amazon Web Services' program for startups.

Andromeda · Site Intelligence

0107

Find the right environment before committing to deployment.

Assess candidate sites against operational requirements, environmental constraints, and weighted suitability criteria.

AVAILABLESoftware-led · usable today

“Where can we safely and economically deploy or test this system?”

Andromeda is Neicrone's site intelligence engine. It scores candidate sites against slope, flood, landslide, access, zoning capacity, and footprint, under a weight vector you set and can see. The answer is a ranked shortlist with its criteria and constraints attached, not a black-box recommendation.

// OPEN IN THE CONSOLE

Demo workspace on synthetic parcels
Terrain and hazard screening anywhere on Earth
Six criteria under an adjustable weight vector
Scores that always carry the weights that produced them

// PROVISIONED PER ENGAGEMENT

Parcel-level scoring for a real city, after a data ingest
Saved scenarios and shortlists, in an organization workspace

Discuss a site assessment Watch the 2-minute demo Take the guided demo Field Labs

A site suitability assessment is a decision-support tool, not a guarantee of safety, legal permission, or operational performance.

Example assessmentIllustrative data

Question: which of three candidate sites should host an outdoor ground-robot pilot?

Slope: 30%
Flood: 25%
Landslide: 10%
Access: 5%
Zoning: 10%
Footprint: 20%

01SITE AInland yard, north parcel85.1score
02SITE BRiverside terminal lot Constraint · Inside mapped flood extent76.8score
03SITE CHillside industrial pad67.4score

// WHY THIS ORDER

A ground robot pilot cares most about flat, dry, roomy ground. Site A leads: Site B is flatter and larger, but its flood exposure costs it more than its access gains, and Site C loses on slope.

Andromeda's six criteria and scoring rule · site values invented for explanation

How We Work · Validation

0207

From a question to measured evidence.

A high-touch engagement, scoped individually. You bring the system and the question. Neicrone brings the site, the protocol, the measurement, and the record.

// YOU BRING

System: The robot, vehicle, or platform under test
Model / software: The version you need evidence about
Task: What the system is meant to do, and where
Question: The decision the evidence has to support

// NEICRONE PROVIDES

Site selection: Suitability, constraints, and feasibility, starting in Andromeda
Test protocol: Runs, conditions, metrics, and acceptance criteria
Instrumentation: Sensors and telemetry capture for the agreed measurements
Ground truth: A stated reference method, measured separately from the system
Evaluation: Results against the predefined criteria, failures included
Evidence Record: The traceable deliverable, with its limitations stated

01Joint

Define

You identify the system, the task, the intended environment, and the question the evidence has to resolve.

02Neicrone

Assess

Site suitability, constraints, feasibility, and measurement requirements, starting in Andromeda.

03Joint

Design

Test protocol, instrumentation, metrics, and evidence requirements agreed before anything runs.

04Joint

Execute

Testing proceeds only where suitable equipment, site access, personnel, and safety arrangements are in place.

05Neicrone

Evaluate

Observations compared against the predefined criteria and the agreed ground-truth method.

06Neicrone

Deliver

A Neicrone Evidence Record documenting results, limitations, open issues, and the next decision.

Engagements are scoped individually. Execution depends on site access, equipment compatibility, operational readiness, and safety requirements. The output is evidence, not a certification — Neicrone is not a certification body.

Request a validation engagement How engagements work

Neicrone Evidence Record

0307

A traceable record of physical-system behavior.

The Evidence Record documents how a specified system behaved under defined physical conditions, linking its configuration, environment, observations, interventions, and evaluation results.

Not “we collect data.” A record a reviewer can check: what was tested, how it was measured, where every number came from.

// WHAT IT IS

A defined deliverable of every validation engagement
Independently measured: ground truth never comes from the system under test
Traceable: every result points back to its source data and conditions
Honest about limits: failures, gaps, and open issues are part of the record

// WHAT IT IS NOT

A certification or a safety approval
An industry standard
A guarantee of performance elsewhere

Neicrone Evidence RecordNER-0000 · SPECIMEN

Illustrative · not a real engagement

01

System configuration

Hardware, model and software version, sensor setup, test configuration.

Platform: Customer AMR, unit S/N ref.
Software: nav-stack 2.4.1 · model 9c1e…a04
Sensors: Stereo ×2 · 3D LiDAR · IMU
Config: Speed cap 1.5 m/s

02

Test conditions

Site, task, environmental context, defined test parameters.

Site: Yard section B
Task: Gate-to-dock route, 420 m
Environment: Wet asphalt · dusk · 6–9 °C
Parameters: 40 runs · 3 obstacle classes

03

Recorded observations

Telemetry, sensor observations, relevant events, operator interventions.

Telemetry: Pose, velocity, CAN · 50 Hz
Events: 112 logged
Interventions: 4 operator stops
Raw data: Retained, referenced by hash

04

Measurement & evaluation

Ground-truth method, metrics, deviations, observed failure cases.

Ground truth: RTK-GNSS + surveyed markers
Metrics: Path deviation · stop distance
Deviation p95: 0.31 m
Failure cases: 2 · reflective wet surface

05

Provenance

Timestamps, source references, transformation history, integrity checks where implemented.

Clock: UTC, synchronized
Sources: Each file referenced by content hash
Transforms: 3 steps, each recorded
Integrity: Hash check on hand-off

06

Outcome

Results against stated criteria, limitations, unresolved issues, the next decision.

Criteria: 3 of 4 met
Limitations: One site, one season
Open issue: Wet-surface perception
Next decision: Extend to night runs

Initial Domain

0407

Industrial and logistics sites first.

Bounded sites, repeatable tasks, and a real cost of failure: where physical evidence pays for itself soonest.

01

Bounded, controllable sites

Yards and industrial sites have perimeters, access control, and known layouts. A test can be specified, repeated, and made safe.

02

Repeatable, measurable tasks

Trailer moves, dock approaches, routed transport, inspection rounds. Clear tasks make clear metrics and clear pass criteria.

03

Real physical variation

Weather, wet and worn surfaces, glare and darkness, people and vehicles sharing space. The conditions simulation struggles to reproduce.

04

A real cost of being wrong

Operators carry the downtime, damage, and liability of a failed rollout, so evidence before scaling is worth paying for.

// TYPICAL ENVIRONMENTS

Yards & trailer moves
Dock approaches
Industrial outdoor sites
Ports & terminals
Warehouse perimeters

No specific customer facility is implied. Sites are identified and assessed per engagement, with the operator's agreement.

Roadmap

0507

Software first. Then edge. Then physical validation.

A capability-based sequence. Only the first phase is live; each later phase starts when the one before it works and pays.

01
SoftwareAVAILABLE
Andromeda site intelligence
02
Edge instrumentationIN DEVELOPMENT
Sensor integration, telemetry, provenance
03
Physical validationLONG-TERM
Test environments, ground truth, repeatable protocols

Capability-based roadmap · no physical network is claimed todayField Unit 06 →Roadmap and long-term architecture →

Field Notes

0607

Written as the work is built.

Observations from the field, events, and the build itself. What was seen, who was met, and what is being learned.

The Tempodrom in Berlin at dusk, with the green GTC26 letters in front of the entrance

25 October 2026 · 3 minGTC Berlin 2026: Simulation Is the Rehearsal. The Ground Is the Test.Notes on Jensen Huang's GTC Berlin keynote. Almost every physical demonstration rehearsed in simulation before touching the world. That makes the evidence of what happens on real ground the next thing to build.

15 October 2026 · 2 minNeicrone Joins NVIDIA Inception to Accelerate Real-World Validation for Physical AINeicrone has been accepted into NVIDIA Inception. The programme will support Neicrone's work on real-world validation infrastructure for Physical AI: site intelligence, field validation and traceable evidence of how autonomous systems perform before production.

Office towers in Taipei under an overcast sky

8 October 2026 · 5 minBack in Taiwan: Conversations Over DemosTAIROS, Automation Taipei and the 2026 International Robotics Forum: the most useful part of the trip was not on the exhibition floor. It was the conversations around it.

All field notes

Engage

0707

Discuss a site or a validation engagement.

Every assessment and engagement is scoped and quoted individually. Tell us the system, the site, and the question — the reply starts there.

ASite assessmentSOFTWARE-LED

Where can this system be deployed or tested safely and economically? Candidate sites scored against your operational requirements in Andromeda, with the weights and constraints stated.

Output · Ranked shortlist · criteria · constraints

BValidation engagementENGAGEMENT-LED

How does this system actually behave under these physical conditions? A scoped test with an agreed protocol, instrumentation, and ground-truth method.

Output · Neicrone Evidence Record

// WHAT HAPPENS NEXT

01The founder reads the request and replies within two business days.
02A short scoping call establishes feasibility: system, site, question, constraints.
03You receive a written scope and quote, or a plain answer that it is not a fit yet.

Prefer email? Email field operations