echoloc/ Companies/ Ocular AI (YC W24)

Company profile

Ocular AI (YC W24) Tech Stack

Multimodal data lakehouse for curating, labeling, and training custom AI

Software Development San Francisco, California 2–10 employees Founded 2024 Privately Held

Ocular AI is a YC W24 startup building a platform that takes unstructured video, image, and audio data through curation, annotation, and model training in one place. Its stack pairs PyTorch, TensorFlow, and OpenCV with a Next.js/React front end on AWS and Vercel, and its senior-weighted engineering hiring targets LoRA training infrastructure, LLM fine-tuning, and model evaluation pipelines.

Tech Stack 19 technologies

Core StackPostgreSQL AWS Figma Next.js Vercel Contentful React Redux Python PyTorch TensorFlow Salesforce HubSpot Zapier PostHog Spline Recoil OpenCV LinkedIn Sales Navigator

What Ocular AI (YC W24) Is BuildingChallenges and projects from their job posts

◆Challenges

Building foundational AI models for production

▲Active Projects

Foundry annotation platform
Model training infrastructure for LoRAs
Deploying and fine-tuning large language models
Bolt data labeling service
Data pipelines for model evaluation
Multimodal collaborative canvas

Hiring Activity

Minimal4 roles · 0 in 30d

Department

Engineering

Design

Seniority

Senior

Mid

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About Ocular AI (YC W24)

Ocular AI is a San Francisco-based, privately held company founded in 2024 and backed by Y Combinator's Winter 2024 batch. Its product, Ocular Foundry, is a multimodal lakehouse that lets teams ingest, catalog, search, and annotate unstructured data, then train custom models on it. Target users include teams building computer vision, robotics perception, and domain-specific generative AI. The company has 2–10 employees and hires in the United States. Its offerings include the Foundry annotation platform and a data labeling service called Bolt.

HeadquartersSan Francisco, California

Company Size2–10 employees

Founded2024

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Ocular AI use?

Ocular AI uses Python, PyTorch, TensorFlow, and OpenCV for ML work, PostgreSQL and AWS for infrastructure, and Next.js, React, Redux, and Recoil on Vercel for the front end, plus HubSpot and Salesforce.

What is Ocular AI working on?

Current work includes the Foundry annotation platform, the Bolt data labeling service, a multimodal collaborative canvas, LoRA training infrastructure, LLM fine-tuning, and model evaluation pipelines.

Where is Ocular AI headquartered?

Ocular AI is headquartered in San Francisco, California. It was founded in 2024, has 2–10 employees, and hires in the United States, mainly senior engineering roles plus design.

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How this profile is built

Ocular AI (YC W24)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.