Keiki is a platform from Orchid for launching customer-facing AI agents on channels people already use, including iMessage, WhatsApp, SMS, Slack, Telegram, Teams, and email. Teams define an agent's role, behavior, and boundaries once, connect business knowledge and custom actions, then deploy the same agent wherever customers or coworkers communicate, with Keiki handling channel delivery, conversation memory, tool execution, billing, observability, evaluations, browser automation, and sandboxed code execution. Keiki agents can retrieve live information, complete workflows, take payment, remember relevant context, and escalate to a person when policy requires it.
The launch opens up infrastructure the Orchid team spent close to a year building for its own iMessage assistant, now repackaged so any business can ship an agent without stitching together channels, memory, tools, and evals from scratch. Builders can start in a visual agent builder or use the developer interfaces, with Keiki publishing an OpenAPI contract, provider-compatible endpoints, AgentKit documentation, an MCP server, and scoped API-key controls for teams moving from prototype to production. For ongoing operation, teams get conversation history, execution traces, evaluations, usage controls, alerts, and human steering, with the option to require approval before sensitive work proceeds.
Keiki comes from the team behind Orchid, founded in 2025 by Nizar Abi Zaher and Adam Wazzan and based in San Francisco , which went through Y Combinator's Spring 2025 batch with a personal assistant that lives inside iMessage. For founders and operators evaluating where to put an agent in front of customers, Keiki is the Orchid team's bet that the right surface is the messaging apps those customers already check every day.
Comments (12)
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Nadia K.3d ago
The horse emoji in a launch tweet about taking jobs is doing a lot of heavy lifting. I respect the audacity but my LinkedIn is sweating.
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Adaeze O.3d ago
Dumb question but if Keiki takes my job, who files the expense report for Keiki's API bill?
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Ravi Menon3d ago
Love the swagger but 'take your jobs' is a hard sell when I need to know what one agent run costs me at scale. Per-token, per-task, or per-tear-shed?
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omolade3d ago
That landing page loads clean but I had to squint to figure out what Keiki actually does in the first 10 seconds. Hook earlier, flex later.
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Tomas Bergqvist3d ago
The jockey metaphor is cute until someone asks who's getting whipped in this scenario. Branding team had fun though.
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Hyewon P.3d ago
Any plans to open source the orchestration layer or at least publish the agent protocol? Docs page is suspiciously quiet right now.
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Rania Haddad3d ago
Before I let an agent touch anything in my org, where is the data processed and who gets subpoenaed when the agent goes rogue at 2am?
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Mircea D.3d ago
Every agent demo looks magical until you ask it to handle a Tuesday. Show me the 40th run, not the first.
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Pedro Vilas3d ago
Curious how many people are actually behind Orchid. The surface area here feels like a team of 30 but the vibe says 4 engineers and a very tired designer.
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Juno Park3d ago
The launch video cuts are tight but the voiceover peaks a little hot on the 'take your jobs' line. Mix it down 2db and it slaps.
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Viktor S.3d ago
This might genuinely be one of the last creation platforms built by humans typing on keyboards. Poetic in a way.
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Imani Blackwood3d ago
Any chance someone from Orchid wants to chat on the record about what 'first AI built to take your jobs' means in practice? Promise I'll be nice-ish.
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Keiki is a platform from Orchid for launching customer-facing AI agents on channels people already use, including iMessage, WhatsApp, SMS, Slack, Telegram, Teams, and email. Teams define an agent's role, behavior, and boundaries once, connect business knowledge and custom actions, then deploy the same agent wherever customers or coworkers communicate, with Keiki handling channel delivery, conversation memory, tool execution, billing, observability, evaluations, browser automation, and sandboxed code execution. Keiki agents can retrieve live information, complete workflows, take payment, remember relevant context, and escalate to a person when policy requires it. The launch opens up infrastructure the Orchid team spent close to a year building for its own iMessage assistant, now repackaged so any business can ship an agent without stitching together channels, memory, tools, and evals from scratch. Builders can start in a visual agent builder or use the developer interfaces, with Keiki publishing an OpenAPI contract, provider-compatible endpoints, AgentKit documentation, an MCP server, and scoped API-key controls for teams moving from prototype to production. For ongoing operation, teams get conversation history, execution traces, evaluations, usage controls, alerts, and human steering, with the option to require approval before sensitive work proceeds. Keiki comes from the team behind Orchid, founded in 2025 by Nizar Abi Zaher and Adam Wazzan and based in San Francisco , which went through Y Combinator's Spring 2025 batch with a personal assistant that lives inside iMessage. For founders and operators evaluating where to put an agent in front of customers, Keiki is the Orchid team's bet that the right surface is the messaging apps those customers already check every day.
Comments (12)
The horse emoji in a launch tweet about taking jobs is doing a lot of heavy lifting. I respect the audacity but my LinkedIn is sweating.
Dumb question but if Keiki takes my job, who files the expense report for Keiki's API bill?
Love the swagger but 'take your jobs' is a hard sell when I need to know what one agent run costs me at scale. Per-token, per-task, or per-tear-shed?
That landing page loads clean but I had to squint to figure out what Keiki actually does in the first 10 seconds. Hook earlier, flex later.
The jockey metaphor is cute until someone asks who's getting whipped in this scenario. Branding team had fun though.
Any plans to open source the orchestration layer or at least publish the agent protocol? Docs page is suspiciously quiet right now.
Before I let an agent touch anything in my org, where is the data processed and who gets subpoenaed when the agent goes rogue at 2am?
Every agent demo looks magical until you ask it to handle a Tuesday. Show me the 40th run, not the first.
Curious how many people are actually behind Orchid. The surface area here feels like a team of 30 but the vibe says 4 engineers and a very tired designer.
The launch video cuts are tight but the voiceover peaks a little hot on the 'take your jobs' line. Mix it down 2db and it slaps.
This might genuinely be one of the last creation platforms built by humans typing on keyboards. Poetic in a way.
Any chance someone from Orchid wants to chat on the record about what 'first AI built to take your jobs' means in practice? Promise I'll be nice-ish.