Expert & Creator
Independent testing, reviews, and product expertise.
Who We Are
About Buyary
Buyary helps people and businesses make better product decisions by transforming fragmented reviews, research, product data, and real-world experiences into transparent, evidence-based intelligence.
Product information today is scattered across expert reviews, customer feedback, videos, specifications, forums, research, and brand messaging. Buyary brings those signals together, evaluates them in context, and explains what matters, where tradeoffs exist, and which products best fit different needs.
Our methodology is designed by Buyary's founding team and supported by human quality review. Learn more about our people, standards, and approach throughout this page and in our Methodology and Editorial Standards resources.
Our Mission
Buyary exists to make product understanding more transparent, evidence-based, and useful. We believe people should be able to see not only which products are recommended, but also why they are recommended, where they fall short, and which tradeoffs matter most for different users and situations.
01The Mission
Organize the world's product knowledge into trusted intelligence — for people making confident decisions, and for the businesses and platforms that serve them.
02Why It Matters
A new standard for decision making
People deserve product intelligence designed around evidence, context, and personal fit — not noise, hype, or incomplete signals.
The Driver
The status quoHype, isolated popularity, and brand payments.
The Buyary standardEvidence, context, and personalized real-world fit.
The Output
The status quoA single, arbitrary score with a hidden methodology.
The Buyary standardTransparent reasoning, surfaced disagreements, and exposed trade-offs.
The Audience
The status quoHuman consumers browsing individual sites.
The Buyary standardConsumers, B2B platforms, and integrated AI systems.
Trust starts with clarity: where information comes from, how evaluations are created, which signals matter most, and where uncertainty or disagreement exists — the reasoning, not just the final score.
03Origin Story
Why We Built Buyary
Product research is broken. Important information is scattered across expert tests, retailer pages, brand claims, video reviews, forums, customer experiences, and technical specifications.
Many purchases have long-term consequences, including cost, reliability, safety, usability, maintenance, and tradeoffs that only become clear after ownership.
"We built Buyary because people deserve product intelligence designed around evidence, context, and personal fit, not noise, hype, or incomplete signals."
What Buyary Analyzes
Full MethodologyCustomer Feedback
Ratings, reviews, discussions, and real-world ownership experiences.
Data & Specs
Technical information, benchmarks, features, and product details.
Scientific Research
Peer-reviewed research and credible studies where relevant.
The goal is to organize these signals into a clearer evaluation framework, one that reflects both product quality and real-world fit for different types of users.
04The Intelligence Layer
From noise to knowing
Expert tests, retailer pages, video reviews, spec sheets, forum debates, and brand claims all disagree with each other. Buyary pulls those tangled signals through one intelligence layer and hands back three things a shopper can actually use.
- The WhatWhat to buy — recommended, top rated, best value
- The WhyWhy it wins — reasoning, key signals, evidence
- The FitWho it's for — trade-offs and situational fit
- The What
- Which products are objectively recommended — top rated, best value.
- The Why
- The underlying reasoning and prioritized signals behind every score.
- The Fit
- Where a product falls short and which trade-offs matter for you.
Diagram: scattered sources — expert tests, retailer pages, video reviews, technical specs, forum debates, brand claims, and scientific research — flow through the Buyary Intelligence Layer and emerge as three ordered streams: The What, The Why, and The Fit.
05What We Build
One layer, four products
Know why before you buy — or sell, or make. The intelligence layer powers a product suite for shoppers on one side and businesses on the other.
Score
Distills a product's global reviews, expert insights, and social opinions into one trusted, verified number — then personalizes it to your needs and preferences.
Atlas
Spans the entire world of consumer products with rich, clear guidance — understand the types and features first, then choose the right product with confidence.
Beacon
Instant, trusted answers and real-world proof — an always-on, AI-powered Q&A and social layer embedded on product pages, turning uncertainty into confidence.
Compass
Cleans, verifies, and enriches product and market data to guide retailers and brands in optimizing formulations, assortments, and inventory.
06For Brands & Machines
The same layer, everywhere trust is needed
Shoppers meet it on buyary.com. Brands embed it on their own product pages. AI agents query it over the Product Intelligence API and MCP — one evaluation, consistent everywhere it appears.
yourbrand.com/products/glow-serum
Buyary VerifiedLive Score
85
Experts 83 · Owners 81 · Value 74
“Brightens without irritation.”
Product Intelligence API
GET /v1/products/glow-serum/score
{
"score": 85,
"evidence": ["experts", "owners", "research"],
"why": "Brightens without irritation"
}MCP-readythe same evaluations, consumable by AI agents
07Experience, In The Open
The layer, running live
1,100+Published evaluations
100+Categories covered
6Evidence streams per score
Fresh from the system
08The Architects
Our Founders
Buyary was founded by Christian Shelton, Janelle Tiulentino, Piotr Jurczenko, and Taylor Zavattero to build the product intelligence layer for the AI era.
The founding team brings experience across consumer technology, AI systems, product development, research, marketplace operations, and large-scale digital platforms.
Christian co-founded Geekatoo and grew it to an acquisition by HelloTech, where he later served as Chief Growth Officer. He has spent his career building platforms that help people make better, more trustworthy decisions online. At Buyary, he leads product strategy and the shopper experience. He holds a BA in History and Political Science from UC Berkeley, an MSc in Management, Organisations, and Governance from the London School of Economics, and an MPP in Business and Government from Harvard's Kennedy School of Government.
Janelle was the sixth engineer at Snap, joining the company in its earliest days and staying through its growth into a public company. She went on to serve as a Research Software Engineer at Stanford University School of Medicine, working on AI-assisted care and stroke recovery research. She later co-founded and served as CTO of Talentdrop, a hiring platform backed by Y Combinator. At Buyary, she shapes the user experience and front-end design approach, translating complex product evidence into interfaces that are clear and easy for shoppers to use. She holds a B.S. and M.S. in Computer Science from Stanford University.
Piotr is a software engineer and AI systems builder with experience at Capgemini and nearly a decade of enterprise engineering work. He co-founded Buyary and built its automated product intelligence pipeline from the ground up, the system that processes thousands of data points across reviews, research, and product information to generate structured, transparent scores. At Buyary, he leads all technical infrastructure, with a focus on making product scoring consistent, scalable, and auditable. He holds a B.S. in Automation and Robotics from Wroclaw University of Science and Technology.
Taylor spent over eight years at HelloTech in progressive leadership roles, including VP of Operations and VP of Partner Success, overseeing operations across marketplace ecosystems serving Walmart, Target, Comcast, Amazon, and other major partners. He previously served as VP of Operations at Geekatoo, where he and Christian first worked together building consumer-facing marketplace infrastructure. At Buyary, he leads content and research operations, helping ensure product evidence is organized, evaluated, and presented accurately and fairly. He holds a B.A. in Anthropology from Central Connecticut State University.
09Editorial Standards
Editorial Standards
Buyary's evaluation process is guided by documented standards for accuracy, transparency, independence, and evidence quality. Commercial relationships, including affiliate partnerships, API services, and data intelligence products, do not determine Buyary Scores, rankings, or editorial conclusions.
Read Full PoliciesOur methodology evaluates products based on evidence, tradeoffs, and usefulness, not brand payments or popularity alone. Buyary does not rely on a single reviewer, influencer, publication, retailer, or affiliate partner.
We combine multiple evidence types, identify areas of agreement and disagreement, and explain how those signals influence an evaluation. Our responsibility is to help people understand the evidence behind product decisions.
IndependenceAccuracyTransparency
Commercial relationships
84Buyary Score
As Buyary expands, some categories may include additional review processes and subject-matter expertise where appropriate, especially in areas requiring additional caution or specialized knowledge.
10Responsibility & Scope
Accountability at scale
Higher-stakes categories
Buyary applies specialized subject-matter expertise and highly conservative evidence thresholds for critical categories.
Buyary supports better decisions, but does not replace professional medical, financial, or legal advice.
The accountability loop
Living, breathing product intelligence: credible community correction requests are actively reviewed, and verified updates flow rapidly back into the intelligence layer.
Scores update as evidence changes — new reviews, recalls, revisions, and long-term ownership feedback.
11Corrections
Seen something we missed?
If information on Buyary is inaccurate, incomplete, outdated, or missing important context, tell us. Credible correction requests are reviewed and verified updates are incorporated.
Submit a correction12Common Questions
About Buyary, answered
- What is Buyary?
- Buyary is a product intelligence platform that turns fragmented product evidence — expert reviews, customer experiences, creator analysis, specifications, and scientific research — into transparent, evidence-based evaluations, including the 0–100 Buyary Score. The goal is to explain not just whether a product is good, but who it is best for, where it falls short, and which trade-offs matter.
- Who founded Buyary?
- Buyary was founded by Christian Shelton, Janelle Tiulentino, Piotr Jurczenko, and Taylor Zavattero to build the product intelligence layer for the AI era. The founding team brings experience across consumer technology, AI systems, product development, research, marketplace operations, and large-scale digital platforms.
- How does Buyary make money?
- Buyary may generate revenue through affiliate partnerships, clearly disclosed sponsored placements, API services, and data intelligence products. Commercial relationships never determine Buyary Scores, rankings, source selection, or editorial conclusions — editorial evaluation is deliberately separated from revenue.
- What products does Buyary offer?
- Four products built on one intelligence layer: Score, the 0–100 trusted evaluation personalized to your needs; Atlas, category guides spanning the world of consumer products; Beacon, an AI-powered Q&A and social layer embedded on product pages; and Compass, verified product and market data for retailers and brands.
- Does Buyary have an API or MCP integration?
- Yes. The Product Intelligence API serves Buyary's evaluations — scores, evidence, and reasoning — to platforms and integrations, and the same evaluations are MCP-ready for AI agents. Scores served over the API are identical to those published on buyary.com.
- Is Buyary independent?
- Yes. Buyary's evaluations are based on product evidence and structured analysis, not payments from brands. Buyary does not rely on any single reviewer, publication, retailer, or affiliate partner, and its documented standards for accuracy, transparency, and independence govern every evaluation.