News

inAi has expanded its company presence to the United States, creating a stronger foundation for American clients, partners, investors, and the wider technology ecosystem.

AI for Everybody is now available in public beta. It is inAi’s public space for learning about AI in plain language, with a growing set of routes for questions, concepts, practical exploration, and responsible judgement.

The Partners area now distinguishes the kinds of relationship inAi is open to considering: work, investment, research, internships, contributions, testing, grants, public institutions, pilots, and AI Services conversations.

The public research pages for Limits of Intelligence, Agentic Decision Systems, AI for Knowledge Creation, and AI and Business Operations have been expanded with clearer questions, boundaries, and connections to real-world systems.

The public website is receiving a visual-system update to make the growing set of pages easier to read and navigate while preserving the different identities of products, research, public education, and company information.

The English and French editions now use the same public navigation structure across company, products, services, research, trust, partnerships, contact, and learning routes. Visitors can switch languages while staying on the corresponding subject or section.

French-language visitors can now use a substantially fuller edition of the public website, including the company, product, research, Trust, Partners, Contact, and News routes.

The website now presents AI Services as a dedicated route for discussing carefully scoped AI-native software and workflow work. It gives prospective organisations a clearer starting point and explains the kinds of projects, constraints, and working relationships that can be explored with inAi.

The project previously known as codex-mcp-wrapper is renamed PatchBay. The new name better describes a tool and coordination surface for connecting work across software and AI systems.

The Contact area now helps people distinguish product, research, partnership, public-institution, contribution, and general company enquiries before they get in touch.

The Trust route explains how inAi separates public statements, product maturity, security and privacy boundaries, research directions, and future work.

The website refresh brings mission, product categories, AI Services, AGI and research, Open Source, AI for Everybody, Trust, Partners, Contact, and News into one more legible public structure. The global navigation is updated at the same time so visitors can move directly between those areas.

inAi begins preparing AI for Everybody as a public learning direction: a place to explain AI, work, agents, systems, limits, and practical judgement without requiring a technical background.

inAi organises four public directions under its AGI and research work: Limits of Intelligence, Agentic Decision Systems, AI for Knowledge Creation, and AI and Business Operations.

inAi moves its main public domain from inAi.fr to inAi.world. The new domain gives the company’s international product, research, and public-learning work a clearer shared address, while inAi.fr remains the entry point for the French-language website.

Research and AGI become a clearer part of the public website, focused on how intelligence may emerge from systems, tools, memory, coordination, knowledge, and real-world constraints.

The public AGI material frames the subject as a systems question: intelligence may depend on more than a single model, including memory, tools, environments, evaluation, coordination, and human institutions.

The Open Source approach page explains why inAi publishes selected tools, experiments, documentation, and supporting work in public. It also gives each public project a clearer context through its purpose, scope, maturity, documentation, and repository-level terms.

The website gives selected public projects their own destinations and context alongside the company’s product categories, research directions, Open Source work, and future-facing explanations. Visitors can now distinguish an individual project from the broader area of work to which it belongs.

Open Source is presented as a public portfolio direction for selected tools, experiments, and documentation that can help people understand inAi’s technical interests and contribute where the scope is clear.

Products for Agents becomes a public category for thinking about software that future AI agents may need to read, use, and operate alongside people.

Emplo is placed within a Consumer Products direction that considers how people can use AI with clearer controls, understanding, and responsibility in everyday high-stakes tasks such as career exploration.

PageMind is placed within a Business Products direction focused on making complex product and catalogue information easier to structure, review, and reuse in real workflows.

The public website begins organising product work into Business, Consumers, Agents, and Open Source. The categories provide orientation across very different audiences and types of work.

The public website begins from a company-level mission: bringing AI to the real world. The aim is to give products, research, public explanation, and collaboration routes a shared context.

inAi begins planning a clearer public architecture for the company website. The planned structure gives products, research, public education, trust information, partnership routes, and updates distinct destinations connected through shared navigation.

The website expands public product and legal information so visitors can better distinguish exploratory work, product descriptions, policies, and the boundaries that apply to each surface.

inAi begins formalising clearer public labels for ideas, research, prototypes, products, services, and future work so visitors can read the site without mistaking an exploration for an available offering.

PageMind receives a DRIEETS innovation attestation recognising the project’s economically innovative character in France.

Dedicated public pages are prepared for four research directions. Each page identifies the direction’s central questions, working scope, connections to real-world systems, and relationship to the wider research map.

The public research work is organised around four connected areas: the limits of intelligence, agentic decision systems, AI for knowledge creation, and AI and business operations. The map shows how questions in each area connect to the behaviour of intelligent systems in real settings.

inAi begins giving research a distinct public place on the website, alongside product work and company information, so the questions behind the work are easier to find and follow.

Questions emerging from product work begin to receive a clearer public research frame, including reliability, decision-making, knowledge creation, and operational use.

inAi joins the EuraTechnologies pre-incubation programme, creating a structured context for the company’s early development and conversations around PageMind.

The company introduces an updated public identity to give its website and early product communication a more coherent visual and editorial frame.

PageMind is pre-selected for the EuraTechnologies incubation programme, allowing the early project to enter the programme’s formal selection process and present its product direction in that structured setting.

The public description of PageMind becomes more focused on the product-information work faced by retailers and B2B teams: turning fragmented source material into information that can be reviewed and used in catalogue workflows.

PageMind focuses its early workflow design on producing catalogue information that teams can inspect, compare with source material, and prepare for practical reuse. Generated fields remain connected to their context so reviewers can validate them before catalogue use.

Early PageMind work increasingly centres on keeping catalogue information connected to the source material from which it is derived, so teams can review context instead of treating generated fields as unexplained output.

The public website now gives PageMind and Emplo the clearest places in the active product map, while research questions remain identified separately from available products.

inAi closes the internal CodeMind research direction and narrows its public focus towards PageMind and Emplo. CodeMind explored software creation and AI systems inside the company’s R&D work.

inAi separates public product directions from internal research more clearly. PageMind and Emplo are presented through their product purposes, while CodeMind remains identified as closed exploratory work.

inAi concentrates its public product story on PageMind and Emplo. The surrounding website connects those two product directions to the company’s broader work on intelligent systems, research questions, and public understanding of AI.

Public product descriptions begin to distinguish more consistently between exploration, internal development, limited testing, and generally available work.

The early public description of Emplo is refined around career exploration, preparation, and user control. The product direction now gives greater prominence to reviewing opportunities in context and helping people prepare their own next steps.

inAi SASU is incorporated in Lille, establishing the company’s French legal foundation and allowing the work to move from an early project context into a formal company structure.

The early inAi website expands beyond a first company introduction, giving PageMind, Emplo, and the company’s developing product work more visible public context.

As the company foundation takes shape, inAi opens early conversations with people interested in internships across software, product, design, data, and research-related work.

inAi begins organising public contact around product interest, company questions, careers, internships, and possible collaboration so that different conversations can start with clearer context.

inAi prepares the legal and operational foundation for a French company, turning an early product and research effort into a structure that can support responsible public work over time.

The early inAi work begins to form a product map around PageMind, Emplo, and a separate internal CodeMind research direction.

Early PageMind work reaches an internal alpha focused on repeatable ways to examine and structure product information. The alpha tests a workflow from source product material to structured fields that can be inspected before reuse.

inAi starts a closed internal research direction called CodeMind, exploring questions about software creation and AI systems. The work remains internal and exploratory from the start.

inAi adds finance and operations leadership as part of the work to establish a more disciplined operating foundation for the company.

inAi opens an early public route for people who want to follow the company’s work or express interest in possible roles and collaborations.

inAi begins exploratory development on Emplo, a career-oriented product direction intended to help people make sense of opportunities and prepare their next steps with AI-assisted support.

inAi first opens a public website at inAi.fr, giving the early company work a place to explain its initial product and research directions. The French address reflects the company’s foundation in France while making that work accessible to a wider international audience.