The 3LC platform

Four products.
One data-centric stack.

One platform for every step of the data-centric loop, from first integration to fleet-scale Physical AI.

The data-centric core

01 · Dashboard

Explore per-sample metrics, visualize embeddings, edit labels, retrain immediately.

Integration

Three lines of Python. No rewrite of your training loop, model, or dataloaders.

Data exploration

Per-sample, per-epoch metrics. Embedding views surface clusters, outliers, mislabels.

Action

Edit labels, remove noise, weight samples; retrain immediately. In the 3LC Hub or the Python SDK.

How it works
How it works

Orchestration

02 · Hub

The no-code layer that opens the data-centric loop to your whole team.

No-code workflow

Projects, experiments, datasets, training runs, lineage.

Connects to anything

Local drives, S3, Azure Blob, Google Cloud. Git-style data versioning.

Full lifecycle

Import, train, analyze, fix, retrain.

Hot-loaded plugins

Every capability is a plugin: one-click install, environments created automatically. Try the latest model without touching Python. Results land in the Dashboard.

Diagnostics

03 · Insights

Automatically surfaces the dataset issues degrading your model.

Auto-diagnosis

Finds the root causes of model errors. No manual digging.

What it finds

Missing annotations · label errors · edge cases · class imbalance.

Beyond data scientists

Diagnostics anyone on the team can act on.

How it works
Step 1 of 6
How it works
Step 1 of 6

The production layer · Patent pending · Coming soon

04 · DriftCatcher

Trust, drift, and feedback on every prediction in production. Auto-curates data from the edge.

Per-prediction trust

Confidence scored on every inference call. Not aggregated, not sampled.

Drift detection

Catches distribution shift in the field; auto-curates the samples that matter for retraining.

Closed loop

Production → curation → retraining → deployment, on one artifact.

Works with the tools you already use

PyTorch TensorFlow Ultralytics YOLO HuggingFace SAM 3

What it does: breadth of support

3LC works across all computer-vision tasks.

The same per-sample diagnostics across every task type.

Classification in the 3LC Dashboard

Classification

  • Find misclassified samples; edit labels, retrain instantly
  • Watch per-sample metrics evolve across training
Object detection in the 3LC Dashboard

Object Detection & Oriented Bounding Boxes

  • Add, resize, rotate, or relabel any box, axis-aligned or oriented
  • Apply thousands of prediction-based edits in one click
Pose estimation in the 3LC Dashboard

Pose Estimation

  • Edit keypoints, skeletons, and boxes as one pose annotation
  • Per-keypoint OKS metrics pinpoint where the model struggles
Semantic segmentation in the 3LC Dashboard

Semantic Segmentation

  • Edit class masks per pixel
  • Per-class IoU and imbalance checks pinpoint where the model struggles
Instance segmentation in the 3LC Dashboard

Instance Segmentation

  • Edit per-instance masks with pixel precision
  • One click turns predictions into ground truth; SAM auto-generates masks
LiDAR point cloud scene with labeled 3D bounding boxes around vehicles and pedestrians

LiDAR & 3D Point Clouds

  • 3D detection runs in the same per-sample workflow
  • Score scenes by loss, confidence, coverage; surface drifted or mislabeled scans

Where it applies: industries

Built for industrial AI.
Trusted across industries.

The data quality problem looks different in every vertical. Here’s how it plays out where we work.

Energy & Infrastructure
A four-legged inspection robot patrolling an industrial energy facility

Robot dogs and drones spot faults on oil rigs, no inspector on site

Agriculture
A self-driving sprayer working a field at night under its lights

Cameras find each weed and spray only it, cutting herbicide up to 90%

Aerospace & Defense
A fixed-wing defense drone staged for launch beside a military vehicle

Drones identify targets on board, in milliseconds, with no pilot

Automotive
Aerial view of an intersection with vehicles and pedestrians detected by computer vision

Traffic cameras track every vehicle and pedestrian in real time

Manufacturing
Metal parts on a conveyor line with a defect highlighted by a detection box

Cameras check every part for defects, on the line, in real time

Robotics & Physical AI
A humanoid robot performing a visual inspection at a manufacturing cell

Robots visually inspect 100% of the line, up from 1% by hand

Our position in the landscape

Adjacent tools solve a piece.
3LC closes the loop.

Good tools exist in every adjacent category. The difference is the closed loop on a single artifact, at per-sample, per-epoch granularity. Hover a stage to see where the others stop.Hover or tap a stage to see where the others stop.

Pre-training Training Post-training / Production
Data labeling & curation Others: annotation platforms, disconnected from training
Metrics capture Others: no per-sample, per-epoch tracking
Issue identification Others: scoring tools detect noise, but don’t fix it
Real-time issue remediation Others: production monitoring with no link back to training
Refine & improve with versioned data edits Others: all-in-one suites: separate tools, no loop

Combines labeling, debugging, editing, diagnosis and training. One artifact from training to production, all inside your own infrastructure.

Get started

Better data.
Better AI.
In production.

Book a demo →
See the platform →
3LC
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