Kinetiq
About Kinetiq
Decision support, not just search. Kinetiq helps teams narrow the AI landscape and make choices they can explain.
About
The hidden tax of research
"Researching AI utilities" has quietly become a second job.
Most teams do not struggle because they cannot find options. They struggle because they cannot confidently narrow them down. Useful information is scattered across vendor pages, SEO-heavy articles, and fragmented community threads, each with its own bias.
Kinetiq is built to handle the narrowing step. It does not pretend there is one best choice. It assumes there is a best choice for your constraints and helps you surface that fit without needing category jargon.
Who this is for
- Practitioners who move fast but do not want resume-driven development.
- Product and engineering teams who need to justify trade-offs.
- Builders who want a shortlist based on capabilities, not keyword density.
What makes it different
Decision quality over volume
The point is not to show everything. It is to help you decide.
Intent-based discovery
Start from a job-to-be-done and constraints instead of hunting categories.
Comparison that matches real trade-offs
Side-by-side views push you toward clarity instead of endless browsing.
A note on signals and trust
Kinetiq uses metrics like ratings, growth signals, and adoption estimates to help you narrow. These are useful, but they are not perfect.
Use them like a speedometer: a strong signal, not the full story. If something looks like an outlier, high growth with low ratings or the opposite, treat it as a prompt to investigate, not a conclusion.
Kinetiq is meant to reduce guesswork, not replace judgment.