Trust
The company, the work, the current stage, and the boundaries.
An AI company should not ask to be trusted because its language sounds confident. You should be able to identify the accountable company, inspect its public work, see what exists today, distinguish products from research and direction, and know where the formal terms live.
This page brings those answers together and links to the source material for a deeper review.
The information is distributed across the website because each source has a different job. These are the main places to review inAi directly.
inAi is an AI-native product company with a presence in Europe and the United States. Its public company description, formal company information, and contact routes are available through About, Legal, and Contact.
Public contactcontact@inai.world
inAi builds across Business, Consumers, Products for Agents, Open Source, and AI Services.
Each area has its own page and should be read according to its stated scope and stage. The existence of a category does not imply that every product is equally mature or generally available.
Selected Open Source projects can be inspected through the public portfolio and their repositories.
Each project is shown with a maturity label rather than presented as a finished commercial product. The repository provides the code, documentation, license, and project-specific information available for public inspection.
AGI as a System states inAi’s position on general intelligence, while the AGI pages map the research directions behind that position.
AI for Everybody is the public explanation and learning layer. It exists to help broader audiences understand AI, agents, work, risk, and the intelligence era.
These pages show how inAi thinks, studies, and explains. They are not claims that inAi has shipped AGI as a product.
Legal, Privacy, Terms, Cookies, and product-specific documents where available carry the formal wording that applies.
This Trust page is a plain-language index. It does not replace those documents or create separate legal, compliance, or security guarantees.
News records updates across products, Research, Open Source, AI for Everybody, and the company.
Partners and Contact provide the appropriate route for a product evaluation, institutional discussion, investment conversation, research collaboration, contribution, or general question.
A product, a category, a repository, a research position, and a public learning layer are not the same kind of thing.
We use visible status language so visitors do not have to infer maturity from marketing.
Private Beta
PageMind is the current business product for retail, product-data, and catalog workflows. Access is controlled through the product and pilot route.
Pre-launch / waitlist
Emplo is the current consumer product: an AI career agent for job seekers. It is not presented as generally available.
Emerging product category
Products for Agents is inAi’s category for software that AI agents can discover, understand, call, and use.
Individual tools and products are presented according to their own availability. The category is not a claim that inAi sells AI agents or already offers a mature commercial suite.
Project-specific status
Public repositories are labelled according to their current role, including Active, Experimental, Reference, and Legacy.
A repository can be useful and publicly inspectable without being presented as a supported commercial product or as the whole private product system.
Research / stance
AGI as a System is a public position on general intelligence and a research horizon.
It informs how inAi thinks about models, agents, tools, memory, execution, coordination, and intelligent systems. It is not a claim that inAi has or sells AGI.
Public explanation and learning
AI for Everybody is the part of inAi built to help broader audiences understand AI and the changes it brings to software, work, knowledge, and daily life.
It is separate from commercial products, technical Research, and formal policy.
Scope boundary
Engagement boundary
When a product, service, or partnership is evaluated, the questions become specific: what data is involved, what the system can do, what access is available, which actions require review or approval, and which terms govern the relationship.
Those answers belong in the relevant product, service, pilot, legal, or contact process—not in a universal promise on this page.
Due diligence
A customer, public institution, investor, and research partner will not need the same material. Start with the route that matches the decision you are making.
Review the relevant product or service page, its stated scope, and its current access model.
Then use the PageMind pilot, Emplo waitlist, tester, AI Services, or product contact route.
Review About, Mission, Legal, AGI and Research, AI for Everybody, and Open Source.
Then use the Public Institutions or Grants route to explain the programme, objective, proposed work, and evidence requirements.
Review the company thesis, product categories and maturity, public technical work, AGI and Research, News, and formal company information.
Then use the Investors route for a focused discussion.
Review AGI, the research directions, Products for Agents, and Open Source.
Then use Academia / Research or Contributions, depending on the proposed work.
Use the formal Legal pages for exact policy wording. Use the Legal / privacy contact route when the question depends on a specific product, service, or situation.
Not sure which route applies?Use Contact and choose the purpose of your message.
Contact inAi
