Scheduling and meetings decision

Sembly AI

A single developer can reproduce a basic meeting transcribe+summarize workflow, but Sembly's enterprise compliance, broad integrations, language coverage and audited security posture make the full commercial product hard to match without significant additional effort and expense.

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Subscription$10/month ✓ verified
Initial build80 hours
Monthly upkeep10 hours + $250
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Record or upload meeting audio, produce a speaker‑aware transcript, extract action items/decisions, generate a summary/document via LLM, and store+search meeting artifacts.

What it still won’t have

  • SOC 2 / enterprise compliance assurances and related audits
  • Out-of-the-box integrations and enterprise automation (50+ tools, SSO, SMTP relay)
  • HIPAA-ready and advanced enterprise features (audit logs, data residency SLAs)
  • Polished UX, templates, and prebuilt multi-meeting insights/analytics at scale
  • Language coverage and optimized confidence tuning across 40+ languages

What remains hard

  • Compliance and regulationSembly is GDPR compliant and SOC 2 Type II certified.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 26 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal meeting-intelligence service in Node.js (Express) + Postgres + Elasticsearch + React web UI. Scope: (1) OAuth + bot integration to accept meeting audio uploads and a simple Zoom webhook; (2) asynchronous ASR pipeline using a cloud speech-to-text API with speaker diarization and transcript storage in Postgres; (3) transcript parser that extracts timestamps, speakers, actions, decisions, and topics; (4) LLM-backed document generator endpoint (use OpenAI or compatible API) with prompt templates for summaries, PRDs, and action-item lists; (5) full-text search over meetings via Elasticsearch and a small React app to view meetings, transcripts, summaries, and export documents. Out of scope: enterprise SSO, HIPAA/SOC2 audits, advanced analytics dashboards, and 50+ third-party integrations. Include error handling, retries for ASR/LLM calls, unit tests for parsing and generation logic, and deployment scripts for Docker on a single cloud VM.
How we checked5 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-3
  • Evidence score60

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page