USE CASE:
SaaS companies and the AI adoption problem
What follows is the honest set of ways to get AI adoption on SaaS companies, including the ones that are not ours. Mamba Labs builds Apify actors, and AI Tooling Detector is the one named below that covers SaaS companies.
What is actually going wrong
SaaS companies and AI adoption: the answer is public, scattered, and nobody has time to collect it. Any AI adoption method has to survive this: SaaS companies sell to other businesses and publish almost nothing about their own numbers. On SaaS companies, AI adoption rarely catches this: headcount flatters them, because contractors and alumni linger on a company page for years. AI Tooling Detector carries 1 ready made setup for AI adoption on SaaS companies.
Traditional Search Tools
- G2, for SaaS companies. Categories and review counts, free to read, and it only covers vendors that asked to be listed.
- Their job board. Hiring machine learning engineers is a spending commitment rather than a claim. Public, free, and slower to change than a homepage.
- Product announcements and changelogs. Shipped features with dates. The single most honest source, and it needs reading rather than querying.
- Read the product and pricing pages. A feature in the product, a line item in the pricing, a role in the job board. Any one of those is evidence. Five minutes per company and you can tell immediately.
Doing it end to end
- Start with one of SaaS companies you already know, so a wrong AI adoption answer is obvious rather than plausible.
- Run AI Tooling Detector across your list of SaaS companies, which carries 1 ready made setup for AI adoption.
- Read ten rows of AI adoption on SaaS companies by hand before you trust the rest of the list.
Mamba Labs Apify Actors
These are the actors we built for this job. If yours is not covered here, search from the bar at the top of the page or contact us here and tell us what you need.
- AI Tooling Detector1 preconfigured task on this page's job.