Spinach

Overview

Spinach AI is an AI-driven meeting assistant designed to eliminate the overhead of manual note-taking and repetitive follow-up work. It operates as a passive participant in meetings, using automatic speech recognition (ASR) to capture the full conversation and passing the transcription through large language model (LLM) pipelines to produce concise, structured summaries. The output focuses on decisions, action items, and open questions, giving teams a clear artifact they can act on immediately after a session ends.

Built for modern engineering, product, and remote-first teams, Spinach AI integrates with calendar and scheduling workflows so that meetings are captured without friction. Rather than requiring a dedicated bot to be manually invited to every call, the platform is designed to run quietly in the background, transferring the spoken discussion into a structured knowledge base. This reduces distractions and lets participants remain fully engaged while the system handles documentation.

Beyond summaries, Spinach AI bridges meeting outputs into existing workstreams. By synchronizing action items and decisions to external task managers and collaboration tools, it closes the loop between discussion and execution. This allows engineering leads, product managers, and team members to track commitments without transcription switching or copy-paste errors, and ensures that follow-up tasks have clear owners and deadlines.

The platform is especially valuable for distributed teams that rely on asynchronous communication, as it keeps a consistent, searchable record of every meeting. From sprint planning and design reviews to client calls and retrospectives, Spinach AI transforms meetings from isolated events into connected, repeatable sources of project intelligence.

Core capabilities

Automatic Recording and Transcription

Spinach AI captures meeting audio and converts spoken language into written transcripts in real time.

LLM-Powered Summaries

Large language models condense transcripts into clear summaries that highlight decisions, risks, and next steps.

Action Item Extraction

The system identifies tasks, assigned owners, and follow-up deadlines directly from conversation context.

Calendar Integration

Synchronizes with standard calendar tools to join scheduled meetings automatically without manual bot invocation.

Workflow Automation

Meeting outputs can be pushed to connected project management and collaboration platforms to reduce manual data entry.

Searchable Meeting Archive

All notes and summaries are stored in a structured repository, making historical discussions easier to retrieve and reference.

Use cases

Daily stand-ups and weekly team syncs

Sprint planning and backlog grooming

Client discovery calls and requirements gathering

Design and technical design reviews

One-on-one meetings and performance discussions

Agile retrospectives and post-mortems