Ocular AI

Backed byCombinator

Multimodal Data. Search. AI.
One Multimodal Lakehouse.

Ingest, curate, search, & annotate zettabytes of unstructured multimodal data into golden datasets — then train and evaluate powerful, custom AI models on one unified, collaborative platform.

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Built and trusted by engineers from the world's best AI and software companies

What's Ocular?

Multimodal Data Layer
for the Multimodal AI Era

Ingest, curate, and label zettabytes of unstructured multimodal data into golden datasets — then extract insights, train, and evaluate powerful,
custom AI models with Ocular Foundry.

Add expert human feedback (RLHF) with Ocular Bolt to label multimodal data and evaluate your models.

Ocular Foundry

Data

Centralize data from all cloud & local sources. Collaboratively curate & search.

Lakehouse

Catalog

Data Annotation

Label and annotate data at scale with AI agents & humans-in-the-loop. Version datasets and manage projects.

Annotation

Agents

Project Management

Dataset Versioning

Build AI Models

Access GPUs for training, evaluation, & model comparison. Explore models.

Training

Evaluation

Model Library

Ocular Bolt

Apply expert human in the loop data labeling and model evaluation and alignment to your AI models

Data

Multimodal Lakehouse

The Single Source of Truth
for all your Multimodal Data

Eliminate data silos & centralize multimodal data from all your cloud &
local sources in one place & collaboratively visualize & organize it.

More about Multimodal LakehouseMultimodal Lakehouse

Multimodal Data Lakehouse

REST APIs

NLP & Multimodal Search

Vector Embeddings

Data Catalog (Curation)

Indexes

Foundation Models (LLMs)

Computer Vision Models

Explore, Visualize, & Organize

Files

Folders

Security & Authentication

Privacy

Compliance

Role-based Access Control

Collaboration

Data Ingestion

Multimodal Data

Federated Data Sources

AWS

GCP

Azure

Databricks

Snowflake

Local Storage

Multimodal Search

Advanced Multimodal
understanding without the
infra overhead

Search through videos, images, and audio using natural language queries.
Find specific objects, moments, conversations, or scenes instantly—no manual tagging required.

Multimodal SearchMultimodal Search

video_file_warehous

• 4 matches

31%01:20

HIGH

31%

00:20 - 00:40

video_file_warehous

• 2 matches

27%03:20

HIGH

27%

01:10 - 01:15

video_file_warehous

• 6 matches

24%03:40

HIGH

24%

01:40 - 02:00

Filters

Results update automatically

Data Type

Images

Videos

View Mode

By Clips

By Video

Select Index

Date Range

Confidence

Show confidence scores

Minimum confidence level

50%

LowHigh

Data Catalog

Build and organize your team's data catalog
with multimodal data ready for AI training and understanding.

Data CatalogData Catalog

Urban Dataset

High-resolution urban imagery for autonomous driving

Jan 15

15420287

Search APIs

Add powerful multimodal search capabilities to your apps with
our simple API integration.

DocumentationDocumentation

search-api.js

1async function searchVideos(workspace_id) {
2  const response = await fetch(
3    `api.useocular.com/api/v1/workspaces/${workspace_id}/search?` +
4    `limit=10&q=person walking with dog in urban park`,
5    {
6      method: "GET",
7      headers: { "Authorization": apiKey }
8    }
9  );
10  return response.json();
11}

Data Annotation

Label Multimodal Data at scale
with agents & human experts
in the loop.

Combine AI agents with human expertise to create high-quality labeled datasets efficiently.
Build flexible annotation workflows, handle complex labeling tasks, and track progress
with real-time project management and dataset analytics.

More about Data AnnotationData Annotation

Agentic Labeling

Bring the power of SOTA models to label your data. Cut costs and save time.

Agentic LabelingAgentic Labeling

Autolabeling Agent

Labels

ChairFour seat couch

29%

PersonHuman

87%

Model

Apply to Frames:

11000

Dataset Versioning

Manage dataset versions and track changes for consistent, reproducible model results.

Dataset VersioningDataset Versioning

Medical Scans v2.3

Generating

v2.3

•

Jan 25, 2024

Medical Scans v2.2

Latest

v2.2

•

Jan 20, 2024

Project Management

Efficiently manage large-scale data labeling projects.
Break complex tasks into manageable jobs and
streamline your annotation workflows.

Project ManagementProject Management

Batches

5F8A9B2C

Training Data Batch #1

1250

8E7F6D5C

Validation Dataset

350

3C2B1A9F

Test Images Batch

800

Annotating

5F8A9B2C

A1B2C3D4

Classification

550/850

Autolabeling

8E7F6D5C

F6E5D4C3

Detection

90/300

3C2B1A9F

H3I4J5K6

Segmentation

320/1200

Autolabeling

5F8A9B2C

N9O0P1Q2

Keypoint Detection

180/600

8E7F6D5C

T5U6V7W8

Text Recognition

95/400

Autolabeling

3C2B1A9F

Z1A2B3C4

Face Recognition

225/750

5F8A9B2C

F7G8H9I0

Vehicle Detection

340/980

Autolabeling

8E7F6D5C

L3M4N5O6

Pose Estimation

156/520

3C2B1A9F

R9S0T1U2

Medical Imaging

440/1100

5F8A9B2C

X5Y6Z7A8

Satellite Analysis

201/670

Autolabeling

Reviewing

3C2B1A9F

9G8H7I6J

Quality Check

580/680

5F8A9B2C

Y1Z2A3B4

Validation Review

920/920

8E7F6D5C

E7F8G9H0

Accuracy Audit

450/450

Dataset

5F8A9B2C

M3N2O1P9

Final Dataset Export

1200/1200

3C2B1A9F

K4L5M6N7

Training Data v2.1

850/850

8E7F6D5C

Q2R3S4T5

Test Set Release

300/300

5F8A9B2C

W8X9Y0Z1

Model Validation Set

650/650

Rejected

8E7F6D5C

S7T6U5V4

Corrupted Images

0/150

Cancelled

No jobs

Build AI

Training

Infra built for
models that go into production

Train where your data lives. Build custom models on your enterprise data using
managed GPU clusters and scalable training pipelines.

More about TrainingTraining

YOLO_11nano

•

Jul 9, 2025

Jul 9

Training Details

1.6kBatch Size

640Image Size

20Epochs

Performance Metrics

Precision

0.91

Recall

0.87

mAP50

0.84

mAP50-95

0.55

Metrics Across Epochs

Precision

0.91

Recall

0.87

mAP50

0.84

mAP50-95

0.55

Evaluation

Evaluate model
performance on your own data

Test and compare models in an interactive playground
to validate performance on your own data.

More about EvaluationEvaluation

Playground

YOLO_V11nano

Road

10%

Car

10%

Add Model

Ocular Bolt

Scale data labeling and model alignment
with domain experts

Access specialized knowledge from medical doctors, engineers, legal professionals, and subject matter experts across diverse domains. Get accurate, high-quality annotations that require deep expertise and contextual understanding.

More about Ocular BoltOcular Bolt

Ocular SDK

Engineered for ambitious
AI projects

Ocular AI SDKOcular AI SDK

ocular-sdk.py

1from ocular import Ocular
2
3# Initialize the SDK with your API key
4ocular = Ocular(api_key="api_key")
5
6# Access a workspace
7workspace = ocular.workspace("workspaceID")
8
9# Get a project from the workspace
10project = workspace.project("projectID")
11
12# Get a version from the project
13version = project.version("versionID")
14
15# Get an export from the version
16export = version.export("exportID")
17
18# Download the export dataset
19dataset_path = export.download()
20

Integrations

Integrate with your tech stack

Ocular integrates with your existing tech stack and multiple integrations that slot seamlessly into your workflows and pipelines.

Even when you connect to external data sources, all data stays on your existing infrastructure and data sources.

Security

Enterprise-grade security

Enterprise-grade and battle-tested security measures and protocols to protect your data.

All our systems are built with security in mind and are constantly monitored and audited.