Best AI for business and everyday work
What AI holds up during a real workday, what you should never paste into a chat, and a straight answer on what MultiChats offers teams.
Two different people type this into Google
"Best AI for business" is one query doing two jobs.
One is evaluating a tool for a team, with procurement questions: seats, invoices, a security review, a signature from legal.
The other is doing their job on a Tuesday, and typed "business" because that is the room they are sitting in. They want to know which model to open for a report, an email or a spreadsheet.
MultiChats is built for the second person. Here is the honest answer for the first, so nobody loses an afternoon.
If you are buying for a team, read this bit first
We are a consumer subscription with three plans: Free, Pro and Pro+ (the ladder is on the homepage).
Features absent at our October 2026 check:
No Teams or business plan. The product knows three tiers, and none of them is a team.
No seats, no shared workspace, no admin console, no central billing.
No enterprise SSO. You sign in with Google, Apple, or an email address and a password.
No published API. There is no developer key to hand your engineers.
What we do have that matters here:
We are a Belgian company, YUKARI LABS, registered in Brussels. GDPR applies to us directly, and the Belgian Data Protection Authority is your complaint route. Both are named in the privacy policy.
Per-model data disclosure inside the app, covered below.
You can delete your account and your data from Settings. Exporting conversations as JSON is a paid-plan feature on the web app.
Website purchases run through Polar as merchant of record, so your receipt comes from them.
Need a signed data processing agreement, an admin console or SSO before you can buy? We do not offer those. Better you hear it now than in week three. Ask us for today's position rather than this article's.
What a chat model is genuinely good at during a workday
These hold up. They are the repeat jobs that eat a Tuesday:
Turning half a page of messy notes into a structured first draft.
Summarising a long document you are still going to read yourself.
Rewriting the same paragraph for three audiences.
Explaining an unfamiliar contract, policy or spec in plain language.
Arguing back at your own reasoning before a colleague does.
Writing craft, studying, translation, research, image generation and thinking modes each get their own article, because each has its own rules.
Where it still lets you down
Know these before you build a habit:
Anything where 90 percent right is a failure. Numbers you will publish. Legal advice. Medical advice. Compliance sign-off.
Recent facts, unless web search is on. On the web the app decides that unless you turn Intent Detection off in Settings. On the free plan you get two searches per 30 days, and on mobile the search button is a paid feature.
Scanned paper. We transcribe scans of up to 20 pages for the model. Longer scans miss that step, and any transcript can misread a figure.
Memory across chats. Memories are a paid feature, and by default each conversation starts cold.
Saying "I don't know." Models are bad at this. You are the check.
The paste rule, and it is the important one
Some things never go into a chat window, ours or anyone's:
Client data. Names, account numbers, case details, anything you hold on someone else's behalf.
Anything under an NDA. Roadmaps, deal terms, unreleased financials, a partner's numbers.
Personal data about colleagues. Performance notes, salary bands, health information, a CV with a home address.
Credentials. Passwords, API keys, access tokens, a database URL with the password in it.
Anything you would not want to explain in a meeting six months from now.
Check your employer's own AI policy before you use any of this, including us. Many companies now have one, and it will be more specific than anything we can write. If yours has not decided yet, that is a reason to ask, not a reason to assume the answer is yes.
Most work tasks survive being cleaned up first. Swap real names for placeholders, round the figures, strip the identifiers, then ask your question.
Four jobs that repeat, and what to open for each
A long PDF you have to understand today. Claude Sonnet 5.5 takes PDF uploads and can search the web. It needs a paid plan. On the free plan, Gemini 3.1 Flash Lite also accepts PDFs. 24 of our 59 models accept a PDF, and the app blocks the attach on the rest.
Routine correspondence you will edit anyway. ChatGPT Latest answers straight through with no thinking step, which suits the short back-and-forth of email, and it needs a paid plan. On the free plan, Mistral Small 4 does the same job and also reads images.
Something you can only photograph. A whiteboard, a form, a screenshot of a dashboard. Gemini 3.5 Flash Lite handles images and is on the free plan. Gemini models are the only ones here that accept video, and video uploads need Pro+.
A Word document, a spreadsheet or a deck. We extract the text from .docx, .xlsx, .pptx and their OpenDocument equivalents and hand it to the model. Document uploads need a paid plan. Worth knowing: a spreadsheet arrives as its calculated values, one sheet after another, so formulas, charts and number formatting do not travel with it.
Watch the context meter near the message box on a long thread. It tells you when a thread is long enough that answer quality drifts. That is the moment to start a fresh chat with a summary.
The data question, answered properly
Three sentences, all checkable:
We do not train on your conversations.
Some model providers might, depending on which model you pick.
We tell you which, on the model info card, before you send anything.
Six models in the picker carry that notice. Grok's is blunt: "xAI may use your conversations to train Grok models." Others warn the request may be briefly retained before it is answered.
We do not promise zero data retention, because that is a commitment we have not made. The per-model disclosure is the thing we can stand behind, and it sits on the card every time you open one.
Models retire, and that stings more at work
Home use survives a model disappearing. A work habit does not.
When we retire a model it carries a named successor, so an existing conversation keeps working instead of breaking. GPT-5 is a live example: it is deprecated, and it points at GPT-5.4.
Different tasks may need different models. Fifty-nine models from 17 providers sit behind one login here, 22 of them on the free plan, so switching is a click rather than a migration.
The short version
Pick the model by what the task needs: PDF, image, search, or none of the above.
Clean the input before you paste it, and check your employer's policy first.
Read the model info card once, for the model you actually use.
If you need seats and a signed agreement, we are not there yet.