iMothership | Keep AI on track

AI that followsthe processand can prove it.

Consistency.Trust.Cost savings

Works with the models you already use. Your data & permissions.

Consistency

Make sure AI does the job right, every time

You set the workflow: rules, exceptions, checks. AI follows it.

Define tasks as workflows

auto_transmission

Rules, exceptions, and checks for every task. Same control plane for digital AI and physical robots.

Natural Interaction

interactive_space

Talk to it in voice or text. No coding. Over the data you already have: orders, invoices, customers, suppliers.

Flexible Integration

merge

Work with any LLM and your existing business data. Your models, your permissions.

An iMothership task that turns inbound email and voicemail into sales orders

Trust

See exactly what happened in each run

Searchable logs of who instructed, what ran, and what changed

Complete Traceability

my_location

Track who gave instructions, what ran, and keep a detailed audit log for every AI and robot action.

Enterprise-Ready Security

encrypted

Enterprise-grade security, multi-tenancy, and compliance. Built so IT and Finance can both say yes.

Ask AI but verify

fact_check

Ask AI for answers, then check the full logs yourself.

Cost savings

Intelligence inside your processes, max accuracy, minimal token spend

Fetch email, send email, import a file, export a file, call an API, run code: no tokens. You only spend when the model actually does the work.

Pass it only what it needs

filter_alt

The model gets the email, files, skills, data, and instructions for that step. Then the next step runs. Repeat jobs stay cheap.

The right model for each step

robot_2

Any model from any leading provider can sit in the same workflow. Run more than one speech-to-text model if you want a better transcript.

Check it with code

rule

Deterministic checks sit after the model. If the answer does not make sense, it does not pass. That keeps hallucinations out of the job.

Unlike a frontier chatbot, most of the process costs no tokens. Only the relevant information is passed to the AI. Code then checks it did what you asked, so every run stays consistent.

Step	Token Cost
Fetch or send email	Free
Import or export a file	Free
Call an API	Free
Run code	Free
Check the result with code	Free
Pass the AI the work	Minimal spend

Connect

Seamless connections

Bring iMothership into the tools you already use. Connect your AI agent, run work on your own machine, or call it from your own code.

MCP

hub

Connect your AI agent with the Model Context Protocol. It can read the docs, find tasks and logs, and build, check and run tasks in your project, signing in with OAuth or a project API key.

imothership-agent

terminal

Run iMothership agent commands on your own computer or a Raspberry Pi. This command-line agent takes coding prompts, git commands and GPIO commands from your project and runs them locally.

npm install -g imothership-agent

API

api

Call iMothership from your own code with a project API key. List and run tasks, search logs, and call the APIs and skills in your project. Try it all in the API documentation.

Keep going

We ♥️ AI.But it can go off the rails.