Submission declined on 2 April 2026 by Lovelyfurball (talk). This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content. LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. See the advice page on large language models for more information. This draft's references do not show that the neologism meets Wikipedia's criteria for inclusion. The draft requires multiple published secondary sources that: provide significant coverage: discuss the term in detail, not just brief mentions or routine use; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as promoted or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. Wikipedia is not a dictionary and we do not accept articles that are simply definitions of neologisms. 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 Lovelyfurball 4 months ago. Last edited by Lovelyfurball 4 months ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

SinTech is an emerging field and social movement concerned with applying technology - including machine learning, financial engineering, and behavioural design - to the structural problem of human moral failure. The term describes products, platforms, systems and networks that address behaviours causing harm to individuals, communities, or the moral fabric of society. It draws on the categories and frameworks of religious and philosophical ethics rather than secular regulatory compliance alone.

Proponents argue that technology can generate significant moral savings through thoughtful design and targeted application. Rather than replacing moral agency, proponents argue technology could offer extensive capabilities to reinforce it.

SinTech encompasses any technology whose primary purpose is to reduce, interrupt, or make legible behaviours that cause moral harm. This distinguishes it from general consumer wellness technology (which targets health outcomes) and from regulatory compliance tools (which target legal risk). The defining characteristic is its explicit engagement with an ethical or theological framework as the basis for its design logic.

The term was coined in 2025 by the founders of Fygge^[1], a UK-based values-aligned investment platform built on a natural law and Christian moral framework. The intellectual lineage of SinTech is traceable to Islamic banking and finance - a $3.5 trillion global industry built on Shariah-compliant screening algorithms - as its most developed prior example.^[2]

Islamic finance platforms use Shariah-screening algorithms to enforce prohibitions on interest, alcohol, tobacco, weapons, and gambling at portfolio scale. ESG investing operates on comparable structural logic, though typically without explicit theological grounding.

Continuous glucose monitors (CGMs) and AI-driven meal planning platforms that model hormonal response and long-term disease risk. The design insight is that immediate biological feedback interrupts compulsive consumption more effectively than generalised public health messaging, a finding supported by personalised dietary research using CGM data.^[3]

Age verification technology (mandated in the UK under the Online Safety Act 2023),^[4] accountability-based browsing tools, and frictionalised interface design intended to interrupt compulsive use loops.

Reflective posting tools that insert a pause between emotional impulse and publication. Research has demonstrated that simple prompts measurably reduce regretted online speech.^[5]

AI-driven harm reduction tools that identify at-risk users through behavioural pattern recognition and intervene before crisis.

SinTech's intellectual foundation is the argument that the built environment has always either supported or subverted the moral life. The field draws on, amongst other things, Alasdair MacIntyre's thesis that moral language requires a sustaining tradition to remain coherent, ^[6] the behavioural design insight that environments can be redesigned to support better choices,^[7] and on the Islamic jurisprudential tradition of Maqasid.

There is a degree of criticism and push back against the utility of such a term that broadly falls across four areas:

• Algorithmic reductionism: virtue is character formation over time, not just behaviour modification. The application of behavioural technology can only go so far if the less emphasis has been placed upstream on character formation. An app cannot substitute from deeper questions of knowing yourself.
• Theological pluralism: questions arise over whose moral grammar the algorithm encodes. A regular question is around the hierarchy of theological interpretations and which once is ascendant in any given approach. Such an approach risks privileging particular faith traditions in systems with broad societal reach.
• Incentive misalignment: often the industries most in need of SinTech intervention have the strongest commercial incentives to resist it. Social media, gambling, ultra-processed food, tabacco, all have entrenched business models that militate against change of this sort.
• Surveillance risk: accountability tools that monitor behaviour raise significant questions about privacy and consent, and the appropriate role of technology in our interior lives. For example, if health data gather from CGMs is owned by foreign companies and that nation become an adversary - or if that company decides to use such data as leverage for other interests - there could be significant personal cost for those reliant on such technology.