Bring AI to your whole team – with full control

Give everyone on your team top models like GPT, Claude and Gemini – and keep costs and data under control: predictable costs per account, GDPR-compliant processing in the EU, traceable usage.

Four things that matter day to day.

Cost control per account

  • Every account has its own plan: Pro for €20 a month incl. €10 of usage, Ultimate for €60 incl. €40
  • More only with topped-up credit – nothing goes into the red
  • When it runs low, answer length is shortened; once everything is used up, requests are declined

GDPR compliant in the EU

  • EU data residency: storage and model processing in the EU
  • Zero data retention, no training on your data
  • Encrypted in transit and at rest
  • Sign-up only from the EEA and Switzerland

Traceable usage

  • Statistics by model and period with cost trend
  • CSV export for Excel, with semicolon and decimal comma
  • No chat content in the statistics

One tool instead of many subscriptions

  • About 390 models from many providers, switchable mid-conversation
  • Assistants, skills, flows and HTML apps for recurring work
  • No API key per person, no setup

Solved well once, used again and again.

AI only pays off for a business in the long run when not every request starts from zero. Meteor-AI is built for exactly that: whatever proves itself, you store as a fixed building block in the library – with model, role, rules and knowledge.

That turns individual attempts into a reliable routine you start the same way every day. It is the foundation for using AI consistently instead of just trying it out.

  • Assistants: model, creativity, system prompt, skills and knowledge set up once – after that one click is enough, and every answer follows the same rules.
  • System prompts: role, tone and rules as a fixed instruction to the model. If you like, a model writes the draft and you refine it in the same window.
  • Skills: a proven prompt for a specific task, such as “write a quote in our house style” – attachable to any message.
  • Knowledge items: product information, policies or price lists as text and documents, so answers rest on your current facts rather than general knowledge.
  • User prompts: the template of a question, so a task is asked completely every time.
  • Flows: multi-step routines such as draft, review and translation – each step with its own model and prompt, one input triggers them all.
  • HTML apps: small tools such as calculators or checklists, built once and kept at hand in the library.

Consistent results are real productivity.

A single good answer saves minutes. A building block that delivers a good answer every time saves them with every use – and makes results predictable.

Consistent results

The same task runs with the same instructions, the same model and the same knowledge. Results become comparable and depend less on how someone happens to phrase things that day.

Quality that grows

A building block is worked out carefully once, tested and improved. Every improvement applies from the next use on – instead of good wording getting lost in the chat history.

Less rework

No re-explaining, no hunting for the right prompt, fewer correction rounds. Time goes into the actual work – and the gain repeats with every task.

The more firmly AI is built into the work, the bigger the gain.

The benefit of AI does not grow with the number of chats but with how firmly it is built into the work. Three stages you find in almost every business:

  1. Individual attempts. Everyone asks as best they can. Results vary, and the gain stays small and random.
  2. Reusable building blocks. Assistants, skills and knowledge make good answers repeatable – the gain repeats with every use.
  3. AI in every process. Flows link steps into routines across sales, service and administration. Many small savings add up to a noticeable return.
AI use and productivity
  • With AI
  • Without AI
Individual attempts: small, random gain Reusable building blocks: gain with every use AI in every process: noticeable return

Schematic illustration, not measured values. Measured effects follow below.

Every business process has potential.

Wherever texts are written, documents read or decisions prepared, AI can take over part of the work. A few examples of what that looks like with Meteor-AI:

Sales and marketing

Quotes, mailings and product copy in your house style – with a skill for the tone and your product information as knowledge.

Customer service

Draft replies to enquiries, based on your FAQ and policies. An assistant makes sure every reply follows the same rules.

Purchasing and contracts

Read and compare quotes and contracts and list the risks. PDFs are read in full.

People and HR

Job ads, onboarding documents and interview guides from a shared template instead of starting over each time.

Finance and controlling

Explain analyses, draft formulas and reports, build small calculators as HTML apps – without a server.

IT and development

Explain, review and document code, with the model that fits the task best.

What it means in euros.

Time saved is money: it goes into tasks that were left undone, more customer contact or faster deals. Independent studies show how large the effect can be.

What studies have measured
  • Software development55.8%

    less time for a programming task 1

  • Professional writing40%

    less time, plus 18% higher quality 2

  • Consulting25.1%

    faster, 12.2% more tasks completed 3

  • Customer service14%

    more issues resolved per hour, 34% for novices 4

Time saved, independently measured

Four studies from software development, writing, consulting and customer service: with AI, work gets done faster – and more gets done.

  1. Peng et al., The Impact of AI on Developer Productivity, 2023
  2. Noy, Zhang, Science 381, 2023
  3. Dell’Acqua et al., Navigating the Jagged Technological Frontier, 2023
  4. Brynjolfsson, Li, Raymond, Generative AI at Work, 2023
Worked exampleExample, not a promise
Hours gained per year
1,840
Value of that time per year
€92,000

What saved time is worth

Enter your own assumptions – the result updates instantly.

Example with 20 people, 2 hours per week and €50 per hour. Calculated with 46 working weeks per year. An example, not a promise: how much time you gain depends on your tasks. Against it stand the usage costs, which Meteor-AI shows under every answer.

How your team gets started with Meteor-AI.

  1. Clarify the need

    Who works with what, which models are wanted, which plan suits whom? We discuss it briefly with you.

  2. Accounts and plans

    Each person creates their own account and picks their plan. Heavy users take Ultimate or request Enterprise, where usage is billed as one total at the end of the month.

  3. Get to work, help included

    In the app, guides and glossary explain the essentials. For questions the support form helps – with a visible status.

What teams use Meteor-AI for.

Six tasks that come up in almost every team – and the Meteor-AI building block made for each.

  • Knowledge work

    Read, summarise and compare documents, ask questions about them. PDFs are read in full.

  • Recurring tasks

    An assistant with role, tone and knowledge – so everyone on the team gets answers by the same rules.

  • Multi-step processes

    Draft, review, translate: a flow lines up the steps, each with the right model.

  • Small internal tools

    Calculators, checklists, forms as an HTML app – built in chat, no server, run in isolation.

  • Images and drafts

    Generate images from text and refine them step by step, with style guidelines from the library.

  • Research with sources

    Web search with citations under the answer – to verify instead of just believing.

What stays with you.

Meteor-AI is a tool. How you use it remains your decision – and your responsibility.

Input

What belongs in a prompt is up to you. Third-party trade secrets and personal data without a legal basis do not belong there.

Model choice

All models compute in the EU. Which model suits which task is for you to define – we help with the assessment.

Results

Models can produce invented content that sounds convincing. Check anything important before passing it on.

For decision-makers and IT.

How are costs limited?

Every account has its own plan. Pro costs €20 a month and includes €10 of usage, Ultimate costs €60 and includes €40; beyond that, only topped-up credit is used. Enterprise is available on request; it bills usage with no fixed limit as one total at the end of the month. All plans are on the pricing page.

Is there a data processing agreement?

Yes. You conclude the data processing agreement under Art. 28 GDPR by email to info@meteor-ai.com, no paper needed. It contains the technical and organisational measures and the list of sub-processors.

Is input used to train models?

No. Meteor-AI does not train models, and zero data retention applies to model processing: input and answers are neither stored nor used for training.

Let's find out what AI can do for you.

Tell us briefly what you have in mind – team size, tasks, data protection requirements. We will get back to you personally. Or try Meteor-AI yourself first, for free.