Create, edit, and transform any text with the power of AI.Die nächste Generation von KI-Tools
Our applied-AI lab in Berlin. It is where we build foundations for using language models and standalone products you can use today. The tour leads through four rooms, each running an experiment as you scroll.
- Location
- Berlin
- Tour
- 4 rooms, 2 wings
- Periodic table
- 9 projects
Wing A: Internal research Wing B: External projects
Mindverse Labs explores and builds novel, cross-industry AI applications together with customers.
Some of the projects our AI team works on start as experiments to validate optimization potential.
This tour takes a closer look at four of them: two internal research projects and two external projects already in daily use. Each room follows the protocol of an experiment: hypothesis, method, finding.
WingA
Internal research
Foundational research into using language models: how does a request find the right model? And how does a prompt reach a language model without giving away personal data?
Hydra: the right model for every request
Not every task needs the biggest language model. Hydra reads the request, weighs quality, cost and response time, and selects one model, with a reason you can trace.
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01Hypothesis
The task should pick the model, not habit.
Reading an invoice, reviewing code, drafting a customer reply: each task asks for something different. Send everything to the same model and you often pay for capabilities the task does not need.
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02Method
Understand the task, weigh the priorities, pick one model.
The planner identifies the task type, reasoning needs and output format, narrows down the eligible models and weighs quality, generation cost and response time. Each request currently gets exactly one selected model, and every decision goes into the decision record.
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03Finding
85.43 out of 100 for $0.02 per 100 tasks.
That is how Hydra configuration D performed in our internal benchmark from September 2026: 100 planned tasks, 98 of them scored with Fable 5.1. It is a development result with documented limits, not proof of universal savings. Hydra is in development, and you can already try the route inspector.
Persona: your text reaches the model, your customers’ data does not
Persona detects personal data in real time and swaps it for consistent pseudonyms before a prompt goes to a language model. The model’s response is translated back automatically.
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01Hypothesis
A language model needs the content, not the identity.
To summarise an insurance claim, a model does not need to know the customer’s name, date of birth or phone number. It only needs to tell the people and details apart.
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02Method
Detect precisely, replace consistently, swap back safely.
A specialised language model tags names, dates, addresses, numbers and more with character-level precision. Each person gets a stable pseudonym such as ⟨PERSON_1⟩ that stays the same throughout the text. The model’s reply runs back through Persona and gets the originals restored.
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03Finding
Nine categories in about 45 milliseconds, and nothing is stored.
Persona runs as an API on servers in Germany, processes text without storing it and is live: 100 free requests a month let you try it without a credit card.
WingB
External projects
Standalone products with their own brands. Each solves one everyday problem and shows us how AI holds up when lots of people use it.
AudioZuText: turning speech into text
Upload an audio or video file or connect a meeting, and get a transcript with speakers, a summary and chapters.
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01Hypothesis
What is said in meetings gets lost unless someone writes it down.
Interviews, lectures, customer calls: the most important information often sits in recordings nobody listens to twice.
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02Method
Transcribe, separate the speakers, pull out what matters.
AudioZuText converts recordings in 100 languages into text, recognises who is speaking, and generates a summary, chapters and action items. Meeting bots for Zoom, Google Meet and Teams can take notes live.
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03Finding
More than 130,000 transcriptions, tested in everyday use.
AudioZuText is live, GDPR-compliant and free to try without signing up: two transcriptions a week up to 100 MB. For teams, transcription with speaker recognition is also built into Mindverse Studio.
Ausfüllpilot: filling in forms, even when they are only scanned
Upload a PDF, check the fields, add what is missing: Ausfüllpilot detects text, checkbox, table and signature fields and fills in the PDF cleanly.
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01Hypothesis
Forms are the last bit of paper in digital life.
Child benefit, housing benefit, student finance, business registration: many German forms only exist as non-fillable PDFs or scans. So people print them, fill them in by hand and scan them again.
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02Method
Detect fields on the page image itself, even on skewed scans.
Ausfüllpilot finds the fields on the page image and shows them for review. Then the assistant asks targeted questions instead of going field by field. Values set by the AI stay marked.
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03Finding
Fillable, non-fillable or scanned: one flow.
Ausfüllpilot is live, with three forms a month for free. Its AI runs only in EU data centres in Frankfurt, and data is deleted automatically and never used for AI training.
The periodic table of Mindverse Labs
Every project an element. Some are standalone products today, others live on in Mindverse Studio or are waiting for their next experiment. You just visited the four dark ones.
Hydra
29 models Picks the right language model for each request — by quality, cost and response time, with a recorded decision. In developmentPersona
9 PII categories Pseudonymises personal data in prompts before they reach a language model, and restores it in the response. LiveAudioZuText
100 languages Transcribes audio, video and meetings with speaker labels, summaries and chapters. LiveAusfüllpilot
scans too Detects the fields in PDF forms, scans included, asks for what is missing and fills in the PDF. LiveSceneWorks
Text → Video The AI video studio: a finished video with script, voice-over and music from a text description. LiveArztGPT
anytime The AI health assistant: describe symptoms and get a first, easy-to-understand assessment. LiveNotarAssist
notaries AI software that digitises notarial work, from processing to administration. LiveKI-Steuerbot
cited Answers tax questions and cites the relevant sources. LiveFlugGPT
worldwide Finds flights worldwide in plain language and compares price, duration and comfort. Live- Infrastructure
- Speech & audio
- Documents & legal
- Search & knowledge
- Media & health
- on the tour
The lab rules
Four rules decide what leaves the lab.
- §1
Measure before we claim.
Hydra publishes its benchmark with confidence intervals, run conditions and limits. A number without context is not a result to us.
- §2
Privacy is part of the setup.
Where data is processed, how long it stays and whether it is used for training belongs in the experimental setup, not in the small print. Ausfüllpilot deletes automatically and never trains on your data; Persona stores nothing at all.
- §3
Real use beats any demo.
External projects are put to the test in many people’s everyday lives. More than 130,000 transcriptions with AudioZuText show us what holds up in practice and what does not.
- §4
What proves itself moves into Studio.
Many features teams use every day started as Labs experiments: transcription with speaker recognition, autonomous AI agents and research with citations.
TranscriptionAI agentsTexts with citationsExplore Mindverse Studio
Built with teams that lead the way
Labs projects are never built in a vacuum: we develop with the departments that genuinely want to improve their processes.
Have an idea but no way to build it? Talk to us, and together we will validate whether and how AI can be implemented optimally for you.
From workshops to a custom AI project, the Mindverse team accompanies you from hypothesis to production.
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For legal teams
Mindverse has already built multiple AI solutions for tax advisors, law firms and in-house legal departments, including AnwaltGPT with more than 1,000 lawyers.
AI for legal -
For sales teams
AI-powered market research methods and needs analyses, developed and validated together with sales teams.
AI for sales & support -
For operations
AI-powered document management, reporting and cross-team process design, in use across industries.
Explore workflows -
For researchers
Research in closed environments with large databases, or targeted web research, always with traceable sources.
Explore AI research
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Frequently asked questions about Mindverse Labs
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