Read AI Tech Stack

AI copilot for meetings, emails, and messages across work apps

Software Development Seattle 51–200 employees Founded 2021 Privately Held

Read AI builds an AI copilot that integrates across Zoom, Teams, Google Meet, Slack, and email to surface meeting summaries, content discovery, and recommendations. The stack reveals a mature ML infrastructure (PyTorch, JAX, TensorFlow, Hugging Face, LangChain) paired with real-time audio processing and a data pipeline built on BigQuery, Spark, and Airflow—infrastructure typically built for high-volume inference at scale. Hiring leans heavily toward engineering and senior-level roles, with active projects spanning design-system growth, mobile AI interactions, and conversational UX, suggesting a shift from core meeting capture toward a broader copilot surface.

Tech Stack 69 technologies

Core StackZoom Slack Python FastAPI AWS Terraform Docker Kubernetes PyTorch TensorFlow Hugging Face LangChain BigQuery Apache Spark Apache Airflow Amplitude Mixpanel Looker Zendesk Figma Teams Google Meet SQLAlchemy OAuth 2.0 JWT JAX transformers Ray Microsoft Office Google+38 more

AdoptingAda

What Read AI Is Building

◆Challenges

Expanding design capacity
Optimizing growth for an ai-native product
Improving conversion and retention
Scaling high-performance ai experiences
Scalability and reliability
Improving design process
Scaling outbound prospecting
Product surface discoverability
Support workflow inefficiencies
Scaling sales organization

▲Active Projects

Grow design system
Third-party integrations
Core product experiences
Design new features
Growth experiments and a/b testing
Ai-powered mobile interactions
Real-time audio capture and processing
Reporting application
Billing system
Chat-based conversational ai ux

Hiring Activity

Steady40 roles · 15 in 30d

Department

Engineering

Product

Design

Sales

Data

Marketing

Support

Seniority

Senior

Mid

Director

Manager

Junior

Staff

Notable leadership hires: People Director

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About Read AI

Read AI is an AI-powered productivity copilot for enterprise users, operating as an overlay across meetings, email, and messaging platforms. The company sells to mid-market and enterprise teams looking to automate meeting notes, information extraction, and asynchronous communication summaries. Founded in 2021 and based in Seattle, Read AI employs 51–200 people and is privately held. The product integrates natively with major communication tools (Zoom, Microsoft Teams, Google Meet, Slack) and generates real-time insights from audio and text. Active development spans design-system maturity, third-party integrations, mobile experiences, and billing infrastructure, indicating expansion beyond core meeting capture into a broader workplace copilot.

HeadquartersSeattle

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What AI frameworks does Read AI use?

Read AI's stack includes PyTorch, TensorFlow, JAX, Hugging Face, and LangChain for model inference and orchestration. BigQuery, Apache Spark, and Airflow handle data processing at scale.

What platforms does Read AI integrate with?

Read AI integrates with Zoom, Microsoft Teams, Google Meet, Slack, and Microsoft Office. The stack also includes OAuth 2.0 and JWT for identity, indicating multi-tenant SaaS architecture.