Is the Open Source edition fully usable?

Yes. The Open Source edition lets teams deploy CaliperGT, manage supported data, and perform core annotation workflows without purchasing an Enterprise license. Enterprise adds production automation, governance, advanced operations, integrations, managed services, and support.

Can CaliperGT be deployed inside our infrastructure?

Yes. CaliperGT supports customer-controlled deployment models, including self-hosted, private cloud, and on-premise configurations, depending on the selected edition and engagement.

Is auto-labeling included in the Open Source edition?

Basic AI-assisted annotation tools may be available in Open Source. Production-scale auto-labeling pipelines, model orchestration, custom models, high-accuracy refinement, and managed inference are Enterprise capabilities.

Do we need to upload data to CaliperAI?

Not necessarily. CaliperGT can be deployed within customer-controlled infrastructure. The exact deployment and support model should be agreed during the Enterprise evaluation.

Can CaliperAI integrate our own models?

Yes. Enterprise engagements can include integration of customer models, open-source models, CaliperAI models, and custom inference services.

Is model inference included in the user-license price?

Not necessarily. GPU infrastructure, model hosting, storage, inference usage, and managed operations may be priced separately.

Can CaliperAI support data collection and logging?

Yes. Data logging, sensor integration, calibration support, collection planning, and managed data operations can be offered as separately scoped services.

Do you offer volume pricing?

Yes. We provide custom pricing for larger teams, large datasets, multi-project deployments, and long-term programs.

CaliperGT Editions

Start open. Scale to automotive-grade ground truth.

Start with a fully self-hosted open-source platform for managing and annotating multimodal automotive data. Upgrade to Enterprise for high-accuracy auto-labeling, calibration-aware workflows, security, managed deployment, and production-scale data operations.

Camera + LiDAR
2D, 3D and 4D workflows
Self-hosted or managed
Built for ADAS & autonomous systems

Community Edition

Open Source

Free

Self-hosted. No platform license fee.

For engineering teams, researchers, startups, and internal AI teams that want to manage and annotate automotive multimodal data on their own infrastructure.

Automotive multimodal data managementOrganize campaigns, datasets, scenes, sensor streams, annotations, and metadata.
High-performance LiDAR visualizationOptimized point-cloud loading and rendering for responsive 3D workflows.
Image, video and LiDAR annotationCore 2D and 3D labeling workflows in one platform.
AI-assisted annotation toolsAssisted tracking, segmentation, lanes, and productivity tools.
Team access and workflow controlsSSO/OIDC integration, role-based access control, and project permissions.
Self-hosted deploymentRun the platform within your cloud, data center, or development environment.

Deploy Open Source View on GitHub

Community support through documentation, GitHub issues, and product discussions.

Recommended for production

Enterprise

Custom pricing

Based on users, deployment, data volume, automation, and support requirements.

Software subscriptions start from $19 / user / month. Infrastructure, model inference, storage, managed services, and usage-based automation are priced separately.

For automotive, ADAS, robotics, mapping, and autonomous-system teams that need automation, scale, accuracy, governance, and enterprise support.

VLA (vision-language-action) labellingLanguage- and action-grounded ground truth for vision-language-action models across driving and robotics scenes.
3D LiDAR auto-labelingModel-in-the-loop 3D box detection, multi-object tracking, static-object aggregation, and 4D long-sequence labeling.
2D auto-labeling and trackingHigh-accuracy detection, segmentation, and tracking across camera streams with model-in-the-loop pre-labeling.
Calibration-aware data workflowsCamera, LiDAR, ego-pose, timestamp, projection, and sensor-alignment validation.
Automotive multimodal data ingestionStructured ingestion of camera, LiDAR, CAN, GNSS, IMU, ROS, ROS 2, and MCAP sensor data into the platform.
Foundation-model-assisted data improvementUse CaliperAI fine-tuned foundation models to improve pre-label quality, surface difficult samples, and accelerate dataset refinement.
Enterprise security, governance and supportAdvanced access controls, auditability, private deployment, onboarding, integrations, and SLAs.

Book a Technical Demo Talk to Sales

Available as self-hosted, private cloud, on-premise, or managed deployment.

Choose the edition that matches your stage

Step 1
Explore and build
Open Source
Use Open Source to validate workflows, manage datasets, and start camera and LiDAR annotation.
Step 2
Operationalize
Enterprise
Use Enterprise to introduce auto-labeling, QA automation, calibration validation, and structured team workflows.
Step 3
Scale production
Enterprise
Use Enterprise deployment, integrations, security, analytics, SLAs, and foundation-model-assisted data refinement to support large programs.

Enterprise

Enterprise capabilities built for automotive AI programs

Move from raw multimodal recordings to trusted, training-ready ground truth with automation, quality controls, and infrastructure designed for large sensor datasets.

Flagship capability

VLA (vision-language-action) labelling

Ground truth for the language and action layer of autonomy — turning driving and robotics scenes into supervision for vision-language-action models, from scene meaning to intent and decisions.

Scene captioning and natural-language descriptions
Referring expressions and object grounding
Driving-action, intent, and decision annotation
Question-and-answer pairs for scene understanding
Instruction-to-trajectory and decision labeling
Camera–LiDAR multimodal grounding

Flagship capability

LiDAR 3D and 4D auto-labeling

Turn raw point clouds into sequence-consistent 3D ground truth across single frames and long drives — keeping annotators focused on the hard cases.

1,000+

3D boxes / day / annotator

Up to 5×

faster dataset creation

3D box detection and pre-labeling
Multi-frame object tracking and global identities
Static-object aggregation and 4D sequence labeling
Semantic and panoptic point-cloud segmentation
Ground-plane and geometry-assisted box refinement
Camera–LiDAR projection for annotation validation

Calibration and sensor validation

Prevent calibration, synchronization, and projection errors from propagating into annotation and training datasets.

Camera intrinsic and extrinsic validation
LiDAR-to-camera alignment checks
Timestamp and sensor-synchronization validation
Ego-pose and coordinate-frame consistency checks
Projection-quality diagnostics
Calibration issue reporting and review workflows

Optimized for speed and accuracy

Combine optimized visualization, AI-assisted workflows, and targeted human review to increase annotation throughput without compromising quality.

Optimized LiDAR loading and point-cloud rendering
Model-assisted pre-labeling
Multi-pass detection, tracking, and refinement
Human-in-the-loop correction
Automated QA checks
Productivity and quality analytics

Foundation-model-assisted data refinement

Use CaliperAI's fine-tuned models to improve data quality and focus annotation effort on the samples that matter most.

Domain-adapted pre-labeling
Hard-sample and edge-case discovery
Confidence-based human review
Dataset gap and coverage analysis
Active-learning-ready workflows
Iterative model and dataset improvement

Customer data remains isolated and is used for model adaptation or fine-tuning only under an explicit customer-approved engagement.

Ground-truth operations

Coordinate annotation, review, customer QA, acceptance, and auditability across internal teams and external vendors.

Configurable project workflows
Annotator and reviewer roles
QA and customer-acceptance stages
Task assignments and progress visibility
Audit trails and annotation history
Team productivity and quality dashboards

Security & Compliance

Your data stays under your control

Deploy CaliperGT within your own infrastructure while maintaining fine-grained access control, encryption, auditability, and operational governance.

Deployment and data control

Self-hosted deployment
Private cloud deployment
On-premise deployment
Customer-controlled object storage
Environment-managed secrets
Tenant and organization-level data isolation
No customer-data fine-tuning without explicit approval

Security capabilities

SSO through Google, Microsoft/Azure AD, Okta, or Keycloak
Role-based access control
Fine-grained project and action permissions
Encryption in transit
Encryption at rest
Encrypted handling of personal information
File-upload validation and malicious-file protection
Audit logs and session visibility
Rate limiting and application-security controls
Deployment hardening and secret-management practices

Designed to support enterprise security requirementsSupports customer-controlled deploymentsSecurity documentation available during enterprise evaluationCompliance support based on deployment and customer requirements

Request Security Documentation

Compare editions in detail

Every capability, mapped across Open Source and Enterprise.

Included· IncludedWith configuration· Available with configurationEnterprise· Enterprise onlyCustom· Custom engagementCommunity· Community support

CapabilityOpen SourceEnterprise

Campaign, dataset, scene, and task managementIncludedIncluded

Campaign, dataset, scene, and task management

Open Source

Included

Enterprise

Included

Automotive multimodal data organizationIncludedIncluded

Automotive multimodal data organization

Open Source

Included

Enterprise

Included

Image and video loadingIncludedIncluded

Image and video loading

Open Source

Included

Enterprise

Included

LiDAR point-cloud loadingIncludedIncluded

LiDAR point-cloud loading

Open Source

Included

Enterprise

Included

Optimized 3D renderingIncludedIncluded

Optimized 3D rendering

Open Source

Included

Enterprise

Included

Long-sequence navigationWith configurationIncluded

Long-sequence navigation

Open Source

With configuration

Enterprise

Included

Sensor metadata managementIncludedIncluded

Sensor metadata management

Open Source

Included

Enterprise

Included

2D boxes and polygonsIncludedIncluded

2D boxes and polygons

Open Source

Included

Enterprise

Included

Segmentation workflowsIncludedIncluded

Segmentation workflows

Open Source

Included

Enterprise

Included

Lane annotationIncludedIncluded

Lane annotation

Open Source

Included

Enterprise

Included

3D boxesIncludedIncluded

3D boxes

Open Source

Included

Enterprise

Included

Object trackingWith configurationIncluded

Object tracking

Open Source

With configuration

Enterprise

Included

Sequence-level attributesWith configurationIncluded

Sequence-level attributes

Open Source

With configuration

Enterprise

Included

4D static-object labelingEnterpriseIncluded

4D static-object labeling

Open Source

Enterprise

Included

Basic AI-assisted toolsIncludedIncluded

Basic AI-assisted tools

Open Source

Included

Enterprise

Included

Production auto-labeling pipelinesEnterpriseIncluded

Production auto-labeling pipelines

Open Source

Enterprise

Included

2D detection and segmentationWith configurationIncluded

2D detection and segmentation

Open Source

With configuration

Enterprise

Included

3D LiDAR auto-labelingEnterpriseIncluded

3D LiDAR auto-labeling

Open Source

Enterprise

Included

Sequence tracking and refinementEnterpriseIncluded

Sequence tracking and refinement

Open Source

Enterprise

Included

VLA (vision-language-action) labellingEnterpriseIncluded

VLA (vision-language-action) labelling

Open Source

Enterprise

Included

Foundation-model-assisted workflowsEnterpriseIncluded

Foundation-model-assisted workflows

Open Source

Enterprise

Included

Custom model integrationEnterpriseCustom

Custom model integration

Open Source

Enterprise

Custom

Sensor-file ingestionIncludedIncluded

Sensor-file ingestion

Open Source

Included

Enterprise

Included

ROS / ROS 2 / MCAP ingestionWith configurationIncluded

ROS / ROS 2 / MCAP ingestion

Open Source

With configuration

Enterprise

Included

Calibration visualizationIncludedIncluded

Calibration visualization

Open Source

Included

Enterprise

Included

Calibration validationEnterpriseIncluded

Calibration validation

Open Source

Enterprise

Included

Timestamp consistency checksEnterpriseIncluded

Timestamp consistency checks

Open Source

Enterprise

Included

Custom data adaptersEnterpriseCustom

Custom data adapters

Open Source

Enterprise

Custom

Users and projectsIncludedIncluded

Users and projects

Open Source

Included

Enterprise

Included

Role-based accessIncludedIncluded

Role-based access

Open Source

Included

Enterprise

Included

Annotation reviewWith configurationIncluded

Annotation review

Open Source

With configuration

Enterprise

Included

Customer QAEnterpriseIncluded

Customer QA

Open Source

Enterprise

Included

Audit historyEnterpriseIncluded

Audit history

Open Source

Enterprise

Included

Productivity analyticsEnterpriseIncluded

Productivity analytics

Open Source

Enterprise

Included

Workflow customizationWith configurationIncluded

Workflow customization

Open Source

With configuration

Enterprise

Included

Self-hostedIncludedIncluded

Self-hosted

Open Source

Included

Enterprise

Included

Private cloudWith configurationIncluded

Private cloud

Open Source

With configuration

Enterprise

Included

Managed deploymentEnterpriseIncluded

Managed deployment

Open Source

Enterprise

Included

Installation assistanceEnterpriseIncluded

Installation assistance

Open Source

Enterprise

Included

Priority supportCommunityIncluded

Priority support

Open Source

Community

Enterprise

Included

Service-level agreementsEnterpriseIncluded

Service-level agreements

Open Source

Enterprise

Included

Custom integrationsEnterpriseCustom

Custom integrations

Open Source

Enterprise

Custom

Professional services

Need help with the complete data program?

CaliperAI can support the journey from sensor validation and calibration to auto-labeling, quality assurance, and delivery of training-ready ground truth.

Calibration and data-quality engineering

Sensor synchronization, camera and LiDAR calibration validation, coordinate-frame checks, and dataset-quality diagnostics.

Auto-labeling and model adaptation

Custom inference pipelines, domain adaptation, fine-tuned models, confidence thresholds, and human-review strategies.

Managed ground-truth operations

Annotation teams, QA workflows, customer review, acceptance criteria, reporting, and delivery management.

Discuss Your Data Program

Professional services are separately scoped engagements and are not automatically included in the per-user subscription.

How Enterprise pricing works

We will recommend the most suitable package after understanding your sensors, data volume, annotation workflow, deployment requirements, and accuracy targets.

Enterprise pricing may include:

Number of users
Deployment model
Data volume and storage
Model-inference requirements
Auto-labeling usage
Custom integrations
Support and SLA requirements
Professional services

Frequently asked questions

Bring your automotive data workflow into one ground-truth platform.

Whether you are starting with a research dataset or operating a production-scale ADAS data program, CaliperGT gives your team a path from raw sensor data to trusted ground truth.

Book a Technical Demo Deploy Open Source

Tell us about your sensors, data volume, deployment model, and annotation goals.

Start open. Scale to automotive-grade ground truth.

Open Source

Enterprise

Choose the edition that matches your stage

Explore and build

Operationalize

Scale production

Enterprise capabilities built for automotive AI programs

VLA (vision-language-action) labelling

LiDAR 3D and 4D auto-labeling

Calibration and sensor validation

Optimized for speed and accuracy

Foundation-model-assisted data refinement

Ground-truth operations

Your data stays under your control

Deployment and data control

Security capabilities

Compare editions in detail

Data and visualization

Annotation

Automation

Calibration and ingestion

Team operations

Deployment and support

Need help with the complete data program?

Calibration and data-quality engineering

Auto-labeling and model adaptation

Managed ground-truth operations

How Enterprise pricing works

Frequently asked questions

Is the Open Source edition fully usable?

Can CaliperGT be deployed inside our infrastructure?

Is auto-labeling included in the Open Source edition?

Do we need to upload data to CaliperAI?

Can CaliperAI integrate our own models?

Is model inference included in the user-license price?

Can CaliperAI support data collection and logging?

Do you offer volume pricing?

Bring your automotive data workflow into one ground-truth platform.