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The Aloha Labs product family.

Dial, Lani, Stipend, Tenor, Strata, Mailbridge and Lima are separate products under one roof. Each one starts with a real problem, gets proven in real use, and only then gets built for other businesses.

Form AL-5000Dial
Status: early access

Dial

Phone numbers for AI agents.

Give every AI agent its own phone number in one API call. When a site texts a verification code, Dial reads it and hands it straight back to the agent. Works over REST, a TypeScript SDK or an MCP server. Free plan to start; mobile-line numbers for sites that refuse VoIP are coming.

Scope
  • A number per agent, in one API call
  • Verification codes read and returned automatically
  • Signed webhooks and an MCP server
  • One owner per number, with usage limits
Form AL-1000LaniYour name, your color
Status: live

Lani

Custom AI agents, integrated into any company.

Named agents built around the way your team already works and connected to the systems you already use: your CRM or property management software, email, phones, documents and reports. Each one is named and trained like a new hire.

Lani started inside Ecco Living’s 1,000+ unit LA portfolio, where agents called Lola and Renata handle maintenance, leasing and collections every day.

Scope
  • Answer calls, texts, email and website chat
  • Follow up with leads and customers
  • Process paperwork and create documents and reports
  • Plug into your existing software, inbox and legacy systems
  • Your agent’s name, look and rules
Form AL-2000Stipend
Status: early access

Stipend

Spend controls for AI agents.

Give every AI agent its own policy-governed wallet. Payments settle in RLUSD on the XRP Ledger, with a full audit trail for finance. Working proof of concept on XRPL testnet.

Scope
  • Per-payment caps and daily budgets
  • Vendor allowlists
  • Human sign-off above a threshold
  • Full audit trail for finance
Form AL-3000Tenor
Status: in development

Tenor

Credit controls for on-chain lending.

The underwriting, risk-policy and compliance layer for lending on the XRP Ledger. Software only, never the lender. Starting with policy-capped credit lines for AI agents on Stipend.

Scope
  • Who can borrow, and on what terms
  • A full record of every decision for lenders and regulators
  • Policy-capped credit lines for AI agents
Form AL-4000Strata
Status: in development

Strata

Compliance for tokenized real-world assets.

Controls who can hold and transfer a tokenized fund, stock or property on the XRP Ledger, for the life of the asset.

Scope
  • Holder and transfer controls
  • Freezes and corporate actions
  • The audit trail regulators require
Form AL-6000Mailbridge
Status: in development

Mailbridge

Email for AI agents.

Connect the mailboxes you already have to Claude, ChatGPT and your own agents over MCP. It works with most email providers over IMAP and SMTP, including Gmail with an app password. Agents can search, read, organize and draft replies. They can only send if you allow it, and then only to the recipients you list.

Mailbridge started as our own tool and runs the Aloha Labs inboxes today. The hosted version, with sign-in by email link and a dashboard for your mailboxes, is in development.

Scope
  • Your existing mailboxes, no new address
  • Search, read, organize and draft over MCP
  • Sending off by default, then only to recipients you allow
  • Passwords encrypted, message content never stored
  • Every action logged, without message bodies
Form AL-7000LimaHawaiian for “hand”
Status: in development

Lima

Hands for your agents.

Lets AI agents hire people for the work they can’t do themselves: the cleaning, the site check, the signature, the errand. Every hire runs on the owner’s permission and inside the owner’s limits, and pay is released only when the work is verified.

Scope
  • Per-task caps and monthly budgets
  • Standing orders that run by themselves
  • Pay held in escrow until proof is verified
  • Every hire traced to a verified owner

Have a problem worth automating?

Tell us what’s eating your team’s time. We’ll tell you honestly whether AI can fix it, and what it would take.