Both language versions
Ankit and Aman's Twins are matching language and tone
- Language
- Messages
Share both language versions with the team?
Charlie asks mAIself to prepare an update for Ankit and Aman in their preferred languages. Their Twins share language and tone, Charlie approves both versions, and the team receives the update.
For multilingual teams
Powered by Claude
Regional models routed automatically, so nuance and context survive across languages.
free for 14 days · no credit card
Your language
mAIself fits the register, the courtesies, and the context your culture takes for granted, then routes you to the model calibrated for it. Answers that sound like they were meant for you, because they were.
Budi, writing a message to his elders.
right register
Selam, writing a school form.
in her script
Aram, writing a family group chat.
keeps the warmth
The Accent
Frontier AI speaks the world's biggest languages fluently, and every one of them like a Californian. Ask it about a family problem and it reaches for the same words: set boundaries, prioritise your needs, have an honest conversation. Good advice inside the culture that wrote it. Not the whole world.
Step outside the big languages and it gets harder still. A sentence in a smaller language can cost several times the tokens of its English version, so people pay more for worse answers. mAIself exists to close that gap.
one accent for all of them, until now
Meaning, not just words
An engineer in Chennai says “we will try.” It is a commitment, a warning or a polite no, and which one depends on who asked, how the request was framed, and what was said before. A team lead in London hears a yes, plans on it, and finds out on Friday. The words were the same. The message was not.
mAIself knows which of those three “we will try” was, and says so, so you ask the follow-up question on Monday instead of discovering the answer on Friday. It works the other way too: the note you write to Chennai lands with the courtesy the reader expects, in the register they would use themselves.
Most AI assistants give every team lead the same advice in the same voice: push back, set expectations, have the direct conversation. It is good advice inside the culture that wrote it. Given to a lead managing Chennai from London, it is the advice that produces “we will try.” mAIself gives the advice that works where your team is.
Add a colleague by their handle. Their AI twin shares what they chose to share, how they like to work, when they are free, what a “yes” sounds like from them, and nothing else. Nothing is shared without them choosing it.

Ankit
@ankit
Asking through his twin

Aman
@aman
Sharing only what he allows
Availability is limited to the time windows each person chose to share.
Personal questions wait for your friend's approval.
Friends
Connect to your colleagues by their handle and get the context they choose to share, so a message from a colleague in another language lands with its meaning.
Meet your Twin
Your AI Twin connects the conversations and tools you choose, including email and Slack, with your working preferences. Its four companions show how it remembers, acts and finds the right model. Everything starts from what you have already shared.

Carries useful context from one conversation into the next.
Your work, in motion
Give your Twin a job once or set a schedule. It gathers the context, prepares the work, pauses when your approval is needed and delivers the result where you want it.
Your Twin's work queue
01 · Now
Scanning only the channels you selected
Weekdays · 17:00
02 · Next
Compare Calendar deadlines and summarise changes
Starts after the review
03 · Approval
Ready for you to review before anything is sent
Waiting for you
04 · Done
Returned to Tasks and Google Drive
Completed today
Every card keeps the source, schedule, next action and destination visible. Results return to chat or Tasks, save to Google Drive or Sheets, or arrive as PDF, Word, Excel, CSV, Markdown or text.
The models
mAIself ships a hand-picked set of frontier models today. Next come the regional models built by and for their own languages, from SEA-LION and Sarvam to Jais and Latxa, routed to whoever your words fit best.
Sonnet
balanced default
GPT
OpenAI flagship
Gemini
long context
Opus
frontier reasoning
Haiku
fast replies
DeepSeek
value reasoning
Mistral
European ops
Qwen
multilingual
Kimi
agentic tools
Can you help me rewrite this message to be clearer?
Sure. Here's a tighter version that gets to the point faster...
Now give me 3 subject line options
Here are 3 punchy options: 1. ‘Let's talk’ 2. ‘Quick ask’ 3. ‘One question’
One front door
Start with one model, ask another for a sharper pass, bring in a third for another angle. mAIself keeps the thread together, so the next model already knows what happened, and picks the one calibrated for your language and task.
Owned with communities
We take a toll for running the road, not rent on the land. The communities who help build a model should share in what it earns.
No Model Training
Your conversations are not used to train models. That applies to mAIself and to the providers you use through it.
Encrypted Everywhere
Your conversations are encrypted in transit and at rest. mAIself stores your data on Azure in the UK (UK South region).
Private by Default
mAIself does not sell your data or pass it around. What you say stays with your assistant.
You Stay in Control
Export, delete, or pause your data anytime. You can see what mAIself knows and change it.