Submission declined on 11 August 2026 by PK650 (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by PK650 4 hours ago. Last edited by PK650 4 hours ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Submission declined on 19 July 2026 by CopyleftEverything (talk). This draft reads like an advertisement. Wikipedia is an encyclopedia, not a platform for promotion or marketing. Drafts that are exclusively promotional may be deleted without notice. Wikipedia articles must be written neutrally in a formal, impersonal, and dispassionate way. They should not read like a blog post, advertisement, or fan page. Rewrite the draft to remove: promotional language: see Words to watch; personal commentary: opinions or direct addresses to the reader; informal language. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have a conflict of interest (e.g. you are the subject, an employee, or a relative) or are being paid to edit, you must disclose this to comply with Wikipedia's Terms of Use. Declined by CopyleftEverything 23 days ago.

• Comment: Expanding on the previous reviewer's assessment, it is unlikely a 1 year old company could pass corp notability, not to mention general notability.
  Having a look at the sourcing, ncorp sets a stricter bar than general notability. Most citations here fall into generally excluded ones, such as funding round announcements, growing companies lists, routine business reporting, passing mentions and other PR coverage which usually circumvents editorial processes. Sources containing original, independent analysis of the company are lacking. Several sources extending beyond restating what the company itself said are deemed necessary for encyclopedic content. Due to the company's infancy, it is highly unlikely in-depth coverage exists from established press that analyzes the company in depth and to an extent that unreservedly attests the business's notability. Having said that, if you think such coverage exists, resubmit the draft with said referencing. PK650 (talk) 06:10, 11 August 2026 (UTC)

• Comment: 1. Please read WP:SOLUTIONS and remove marketing fluff terms. 2. Please read WP:NPOV and rewrite article in neutral & encyclopedic for tone & content. CopyleftEverything (talk) 01:39, 19 July 2026 (UTC)

Logical Intelligence is an American artificial intelligence company based in Palo Alto, California, founded in 2025 by physicist Eve Bodnia.^[1][2]. The company develops energy-based reasoning models (EBRMs), a type of machine learning trained on a fixed set of paramaters, which means the model treats the task as a search for the best answer, rather than generating output sequentiallly like most large language models. Logical Intelligence has said EBRMs could be applied to industries where accuracy is critical, including manufacturing, robotics, and energy^[2].

In January 2026, the company introduced its first model, Kona 1.0, and appointed AI researcher Yann LeCun as founding chair of its Technical Research Board^[3].

In January 2026, the company introduced Kona 1.0, its first energy-based reasoning model, claiming it could solve problems with great accuracy and less power than major larage language models like OpenAI’s GPT-5 and Google’s Gemini^[2].

The announcement coincided with the appointment of AI researcher Yann LeCun as founding chair of the company's Technical Research Board. The Financial Times reported^[2] that Logical Intelligence was preparing a funding round targeting a valuation of between US$1 billion and US$2 billion following the launch of Kona.

Logical Intelligence was founded by physicist Eve Bodnia, who serves as the company’s chief executive officer^[4].

In January 2026, AI researcher Yann LeCun joined the company^[2] as founding chair of its Technical Research Board.  LeCun previously served as chief AI scientist at Meta and later co-founded AMI Labs, a Paris-based AI company focused on world models^[5]. He received the 2018 ACM A.M. Turing Award^[6], shared with Yoshua Bengio and Geoffrey Hinton, for work on deep neural networks.

The company’s leadership also includes Patrick Hillmann^[7], who serves as Chief Operating Officer and Chief Strategy Officer.

Alex Fetisov serves as Logical Intelligence’s Chief Technology Officer.^[8]

Logical Intelligence develops energy-based reasoning models (EBRMs): machine learning systems that solve problems by searching for the answer that best satisfies a problem's constraints, rather than by generating output sequentially^[3].

Kona 1.0^[9] is Logical Intelligence’s main energy-based reasoning model. It was introduced in January 2026 for enterprise and industrial applications. The Financial Times reported^[2] that the company positioned Kona for fields such as manufacturing, robotics, and energy.

In a demo in January 2026, the company demonstrataed Kona solving a Sudoku puzzle faster than large language models from OpenAI, Google, and Anthropic.^[2]

Aleph is an AI agent developed by Logical Intelligence for formal verification of software. The agent converts code into mathematical proofs, which can run to tens of thousands of lines, that are then machine-checked^[10]