Built to stop fake website interactions before they waste real time
Kanshi helps website owners, sales teams, publishers, and support teams keep forms and public inputs clean by filtering fake, irrelevant, scam, and spam interactions with context-aware AI.
Kanshi started from a problem repeated across decades of client work
Mahmoud (John) Khamis founded Kanshi in Tbilisi, Georgia after more than two decades of hands-on work in web development, technical leadership, and product delivery. Across agency work, ERP systems, startup companies, and CTO roles, he kept seeing the same issue: websites were becoming easier to abuse with fake submissions that looked increasingly legitimate.
Contact forms, comments, reviews, and inbound messages were often treated as trusted inputs even when they triggered wasted sales follow-up, support overhead, moderation effort, or polluted data downstream. Kanshi was built to solve that operational problem at the source.
Today, Kanshi combines website context, AI analysis, and practical workflow integration to help teams protect real conversations without adding unnecessary friction for real visitors.
Keep websites open to real people and closed to fake interactions
Kanshi exists to help businesses trust the interactions reaching their websites again by filtering out noise before it turns into wasted work.
Built from operator experience
Kanshi was created by a founder who has spent decades building, shipping, and maintaining production websites, ERP systems, and client platforms across industries.
Focused on message quality, not just traffic volume
Instead of relying only on visible challenges or narrow blocking rules, Kanshi evaluates whether a submission actually belongs on the website receiving it.
Designed for real workflows
Kanshi fits WordPress sites, custom form stacks, API-driven workflows, and downstream business systems where bad submissions create real operational cost.
Protection for the parts of your website that create work
Kanshi is built for modern websites that depend on clean inbound interactions, from lead capture and customer support to publishing and community moderation.
- Protect contact forms, comments, reviews, messages, and discussion-style inputs
- Classify submissions as legitimate, suspicious, spam, or fake before they create downstream work
- Support WordPress deployments and custom API integrations
- Help teams reduce CRM pollution, wasted follow-up, and moderation noise
- Return structured decisions that development and support teams can act on immediately
- Add invisible protection without forcing friction onto every real visitor
Built as a practical product, not a vague AI promise
The current Kanshi platform already supports customer, site, subscription, admin, detection, rate limiting, Redis, webhook, payment, WordPress, and API-based workflows. The product is designed to integrate into real production environments where classification decisions need to be usable immediately.
Technical depth backed by published patent work
Mahmoud (John) Khamis is credited on the following published USPTO patents:
Patent 10621499
Systems and methods for semantic understanding of digital information
Patent 10540439
Systems and methods for identifying evidentiary information
Patent 10073890
Systems and methods for patent reference comparison in a combined semantical-probabilistic algorithm
Test Kanshi on real submissions
The fastest way to evaluate Kanshi is to run it against the kinds of website interactions your team already handles and see what gets filtered before it reaches inboxes, CRMs, and support workflows.