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Pie - The Quality Layer for AI-Speed Engineering — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
tyku8.com 69 match
2 shared topics
tyku8 - forward deployed engineering en artificial-intelligence robotsllmsaihumans emailphone none
ohm.ai 68 match
2 shared topics
Ohm - AI for Engineering Labs en artificial-intelligence robotsllmsaihumans emailphone none
8dpack.com 68 match
2 shared topics
8D Pack — AI-Powered SCAR Response Builder for Quality Engineers en artificial-intelligence robotsllmsaihumans emailphone none
16x.engineer 68 match
2 shared topics
16x Engineer | Products and Resources for AI and Software Engineering en artificial-intelligence robotsllmsaihumans emailphone none
nxtgen-intel.com 68 match
2 shared topics
NextGen Intelligence — Senior Engineering for the AI Era South Africa~ en artificial-intelligence robotsllmsaihumans emailphone partial · 8
o16g.com 68 match
2 shared topics
Outcome Engineering en artificial-intelligence robotsllmsaihumans emailphone none
gtalkstech.com 68 match
2 shared topics
G Talks Tech | The AI-Augmented Engineer en artificial-intelligence robotsllmsaihumans emailphone none
shantanuvr.com 68 match
2 shared topics
Shantanu Vichare | Lead SDET & AI Quality Engineering Pioneer en artificial-intelligence robotsllmsaihumans emailphone none
twotail.ai 68 match
2 shared topics
TwoTail · The Analysis Layer for Agent Observability en artificial-intelligence robotsllmsaihumans emailphone none
reasoninglayer.ai 68 match
2 shared topics
ReasoningLayer | the reasoning layer for your AI en artificial-intelligence robotsllmsaihumans emailphone none
mirtunjayprasad.com 68 match
2 shared topics
Mirtunjay Prasad — Senior SDET / Quality Engineering Portfolio en artificial-intelligence robotsllmsaihumans emailphone none
ctxlayer.dev 68 match
2 shared topics
Context Layer — Human-in-the-loop Context Engineering for AI-Assisted Development en artificial-intelligence robotsllmsaihumans emailphone none
typoapp.io 68 match
2 shared topics
Engineering Intelligence for the AI Native Teams | Typo en artificial-intelligence robotsllmsaihumans emailphone none
typoapp.dev 68 match
2 shared topics
Engineering Intelligence for the AI Native Teams | Typo en artificial-intelligence robotsllmsaihumans emailphone none
kelfassi.com 67 match
2 shared topics
Zak El Fassi | Systems Engineering for the Agentic AI Age en artificial-intelligence robotsllmsaihumans emailphone none
ashutoshbele.com 67 match
2 shared topics
Ashutosh Bele | Forward Deployed Engineer for AI, Data, and Infrastructure en artificial-intelligence robotsllmsaihumans emailphone none
guageai.com 67 match
2 shared topics
GuageAI | AI ROI Analytics for Engineering Teams en artificial-intelligence robotsllmsaihumans emailphone none
kartiknanda.com 67 match
2 shared topics
Home • Kartik Nanda, Engineering AI en artificial-intelligenceWordPress robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.