Orchid
Email triage, calendar and bookings, with 220,000+ emails processed
Orchid is an AI agent you reach on Email.
At a glance
| Channels | |
|---|---|
| How you start | Unknown |
| Who starts it | Unknown |
| Is there an app | Unknown |
| Categories | Personal assistants, Email, Scheduling |
| Can do | Email,Calendar and scheduling,Bookings and reservations,Payments,Reminders,Persistent memory,Task management,Travel,Web research |
| Connects to | Gmail, Google Calendar, Slack, Notion, Figma, Dropbox, HubSpot, Expedia |
| Pricing | Unknown |
| Number type | Wireless |
| Contact number | +1 415 695 4918 |
| First message, pre-written | None published |
| Runs on | Linq (SMS and iMessage) (source) |
| Browses with | Runs its own States it built this itself |
| Number carrier | T-Mobile USA block holder, before number portability |
| Status | Live |
Who is behind it
| Company | Orchid |
|---|---|
| Founders | Nizar Abi Zaher, Adam Wazzan |
| Based in | Unknown |
| Funding | Y Combinator S25 |
| Investors | Y Combinator |
| Traction | 220,000+ emails processed |
Data and policy
| Trains on your conversations | Your model only“We don't train shared models on your data. We train your model on your data.” |
|---|---|
| Data of people who never signed up | Not addressed |
| If you cancel | Removed from production within 30 days, backups overwritten within a further 30 days |
| Model providers named | Google Vertex AI, OpenAI, Anthropic, OpenRouter |
| Jurisdiction | Not stated in the policy |
| Availability | Not stated |
Read from the published policy on 2026-09-06. Quotes are verbatim. We report what the document says and link it; we do not interpret its legal effect, and policies change.
How it works
Orchid covers email triage, calendar management and bookings, and reports having processed more than 220,000 emails.
It was founded by Nizar Abi Zaher and Adam Wazzan with a team of three, and came through Y Combinator's S25 batch. Its launch announcement was widely mocked on social media, which is worth recording only because launch reception and product quality correlate poorly in this category and the numbers above came after.
Source: orchid.ai, checked 2026-09-06. Channel support is inferred from public descriptions rather than stated by the vendor. How we source this.