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AI agents

Kinect

Kinect builds AI agents that know your brand, your catalog, and your customers. On your site, they sell every visitor — running the conversation, adapting product pages in real time to each customer segment, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants from how they ask, what they hesitate on, what they compare, and what objection makes them bounce. We take all of a brand's data and make a structured catalog, brand voice, f

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #424

Kinect builds AI agents that know your brand, your catalog, and your customers. On your site, they sell every visitor — running the conversation, adapting product pages in real time to each customer segment, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants from how they ask, what they hesitate on, what they compare, and what objection makes them bounce. We take all of a brand's data and make a structured catalog, brand voice, f

source
generated read
High Signal interpretation

Kinect is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
customerscatalogyour catalogstructured catalogvisitorshoppercustomer segment
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Kinect

AI agents · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

The Prompting Company

match 69

The Prompting Company helps companies get discovered and used by AI agents. We help companies with two things: - Discovery: We find the exact questions your customers ask AI, analyze whether your product shows up, and improve how AI systems describe and recommend you. - Usability: We test whether AI agents can actually use your product, including finding the right docs, performing the right workflows, and completing tasks on behalf of users.

shared extracted concepts: customers; shared product terms: customer, right, question, up; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator

Command AI

match 68

At Command AI, we believe in a world where the internet “just works” for every visitor, customer, and user. As the internet has become more powerful and crowded, it has become harder for everyone to use. And the solutions we’ve come up with to date — like irritating chatbots and pestering popups — end up being ignored or even annoying users more than they help. We sell tools to software builders and buyers to help them make their software better for users. We call this as our User Assistance Pla

shared extracted concepts: visitor; shared product terms: visitor, customer, up, being; shared product theme: sales and marketing; shared affiliation: Y Combinator

Avenue

match 66

Avenue is a simple way for business teams to set up alerts from their database or data warehouse. Think Datadog / PagerDuty for operations teams. Operations teams create set-and-forget alerts on all their data, so they can be more proactive with their time (and monitor on more nuanced triggers than just what fits on their dashboard page). Avenue can improve response times to critical problems from several days to real-time by alerting directly on the data sources that customers already use.

shared extracted concepts: customers; shared product terms: up, time, what, page; shared product theme: sales and marketing; shared affiliation: Y Combinator

Sherpa

match 61

Sherpa automatically optimizes websites for every human and every agent. For humans, Sherpa studies visitor behavior, builds better pages and flows, tests them on live traffic, and keeps what converts. For AI agents, Sherpa tests different agent-facing versions of the site until agents recommend the company more often. Customers typically see a 15-20% lift in their primary conversion metric after using Sherpa for 30 days.

shared extracted concepts: customers; shared product terms: customer, site, visitor, page; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator

Rhizome AI

match 60

It takes 500,000 days of office work to bring a drug to market. We want to make it 5. To get there, we need agents doing most of the work. Today, our research agent is the best way to know what the FDA thinks. Users ask a question and get an answer backed by up to 1,000 documents, where each statement has a citation. It’s the best because we have the best retrieval engine. We’ve tuned it on our life science-specific dataset, and we find what others miss. As more teams use Rhizome, we gain more d

shared product terms: know, question, up, what; same category: AI agents; shared affiliation: Y Combinator

Ashr

match 59

Ashr is a fully contained test and evals platform that improves AI agents by ensuring accuracy and quality across a wide range of user journeys through your product. Ashr generates user journeys through your agents’ tool calls, results, and questions. We don’t generate one off tests, we generate large amounts of authentic user stories through your product, and pick up on errors, inconsistencies, and failures that would otherwise take hours of manual testing or get caught by a customer. We also w

shared extracted concept terms: customer; shared product terms: question, pick, up, take; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator