echoloc
Get started
echoloc/ Companies/ Ocular AI (YC W24)

Ocular AI (YC W24) Tech Stack

Multimodal lakehouse for ingesting, curating, and training on unstructured data at scale

Software Development San Francisco, California 2–10 employees Founded 2024 Privately Held
useocular.com LinkedIn

Ocular AI is a YC W24 startup building infrastructure to manage and train custom models on video, image, and audio data. The tech stack reveals a product anchored in PyTorch and TensorFlow with PostgreSQL + AWS infrastructure, paired with a full frontend (Next.js, React) and modern ops tooling (PostHog for analytics). The hiring profile—mostly senior engineers alongside two sales roles and one designer—and the project list (annotation platform, data pipelines, model training infrastructure, LLM fine-tuning) show a team focused on shipping a complete data-to-model pipeline rather than point solutions.

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 Building

◆Challenges

  • Building foundational ai models for production
  • Top-of-funnel growth
  • Early sales engine
  • Scaling enterprise revenue
  • Building sales motion
  • Closing multimillion-dollar deals

▲Active Projects

  • Backend systems for production
  • Internal analytics system
  • Data pipelines for model evaluation
  • Foundry annotation platform
  • Bolt data labeling service
  • Multimodal collaborative canvas
  • Foundational ai models for production
  • Model training infrastructure for loras
  • Deploying and fine-tuning large language models
  • Mass outbound campaigns

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Engineering
3
Sales
2
Design
1

Seniority

Senior
4
Mid
2
Company intelligence

Find more companies like Ocular AI (YC W24) by tech stack, pain points and active projects

Get started free

About Ocular AI (YC W24)

Ocular AI builds Foundry, an AI-native multimodal lakehouse designed to ingest, catalog, search, and annotate unstructured video, image, and audio data, then train custom models on top. The platform includes intelligent multimodal search (natural-language queries over video/image datasets), annotation tools with AI data agents for auto-labeling, full data versioning and lineage, and integrated GPU-powered model training. The company targets teams building computer vision systems, robotics perception models, and domain-specific generative AI. Current pain points center on go-to-market: early sales engine, top-of-funnel growth, and closing larger enterprise deals—typical for a pre-product-market-fit infrastructure startup.

HeadquartersSan Francisco, California
Company Size2–10 employees
Founded2024
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Ocular AI use?

PostgreSQL and AWS for backend infrastructure; PyTorch, TensorFlow, and OpenCV for ML; Next.js and React for frontend; PostHog for analytics; Salesforce and HubSpot for CRM.

What is Ocular AI working on?

Core projects include the Foundry annotation platform, data pipelines for model evaluation, model training infrastructure for LoRAs, LLM fine-tuning, and a multimodal collaborative canvas for data curation and labeling.

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.