## Bring trust to Physical AI

Physical AI learns from real-world data, and that data is only as good as the sensors that capture it.

MetriCal is the calibration layer of the stack: it makes every downstream perception decision trustworthy by making the sensors agree with each other first.

## From R&D to production

The first calibration is a test; the next ten thousand shouldn't be. MetriCal's steady-state workflow turns one good calibration into a factory process. Refine each new unit in a fraction of the time. Pipelines are TOML manifests: scriptable, versionable, CI-ready.

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#### Kodiak

Calibration time cut to 13% of original, with one-button calibration running at contract manufacturers.

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#### Saronic

MetriCal helped scale Saronic's production from one boat a week to one boat a day.

## One pipeline, every modality

Intrinsics and extrinsics, space and time constraints; everything is solved jointly in a single optimization, not a chain of pairwise scripts that compound error.

#### Camera

Any number of cameras, calibrated together.

#### Local navigation

Mocap and tracking systems relative to the rest of the rig.

#### LiDAR

Multi-LiDAR rigs, no camera required in the loop.

#### IMU

Spatiotemporal calibration with preintegration error reporting.

#### Radar

Radar-inclusive rigs, shipping today.

#### Hand-eye

Robotic arms calibrated relative to their sensors.

Specialized coverage for interesting rigs: narrow field-of-view cameras with multiple targets, rolling shutter, thermal cameras, and multi-unit Intel RealSense setups.

## Fastest cal in the west

Don't let your production rates be limited by your factory calibration. MetriCal delivers accuracy at the speeds demanded at scale, across all supported modalities.

I love Tangram. The technical whitepapers, blogs, and reference guides are incredible. I can’t believe how much they open source. I evangelize MetriCal everywhere.

### Alex Carillo

##### Astrolab

## Works with any lens you can bolt on

Eleven camera intrinsics models (and counting!), encompassing everything from narrow FOV to omnidirectional.

[**No Distortion**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=no_distortion) [**OpenCV RadTan**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=opencv-radtan) [**OpenCV Fisheye**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=opencv-fisheye) [**Fisheye Tangential (Tangram Model)**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=opencv-fisheye-with-tangential) [**OpenCV Rational**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=opencv-rational) [**Inverse Brown Conrady**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=pinhole_with_brown_conrady) [**Inverse Kannala-Brandt**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=pinhole_with_kannala_brandt) [**EUCM**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=eucm) [**Double Sphere**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=double-sphere) [**Omnidirectional**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=omni) [**Power Law (Tangram Model)**](https://docs.tangramvision.com/metrical/calibration_models/cameras/?camera-models=power-law)

## Every price, published

From free trial to fleet-scale rate cards, everything is clear with MetriCal pricing.

[**Trial Bundle**  
  
**For new users**  
  
and the calibration curious](/content/pricing/index.html) [**15 Credits**  
  
**$249 each**  
  
15 Credits · $16.60 / Credit](/content/pricing/index.html) [**R&D**  
  
**$999/month**  
  
75 Credits / mo · $13.32 / Credit](/content/pricing/index.html) [**Growth**  
  
**$3,149/month**  
  
300 Credits / mo · $10.50 / Credit](/content/pricing/index.html)

## Metrics you can defend

A calibration number without evidence is a liability. Every run produces a multi-section report: coverage, model fit, reprojection RMSE, camera-LiDAR misalignment, IMU preintegration error, per-component extrinsics deltas, and a go/no-go verdict. An HTML report for humans, MCAP for machines, and URDF conversion for your robot.

#### Blocking bad results

When MetriCal detects high-risk diagnostics, it will signal the operator and block results. You will never ship a bad calibration because nobody read the log.

#### Failed means free

Credits are only consumed by calibrations that pass quality thresholds. A failed calibration costs you nothing.

## Trusted. Proven. Deployed.

#### The world's most ambitious physical AI companies use MetriCal to test, build, and scale.