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AI predictive analytics

Software that forecasts, scores or recommends from your data, compared on cost, time-to-value and implementation effort.

AI trust filters

251 solutions found

Quadrant view

Implementation friction × Value-Position score (estimate)

1.0/51.8/53.0/54.2/55.0/55.0/54.5/54.0/53.4/52.8/5Friction ← betterBuyer score better →Loved & EasyLoved & HeavyRisky & EasyRisky & Heavy

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

The shaded zone shows the neighbourhood your current filters describe as ideal. Each dot is a matching solution — click through for the full profile.

Questions to ask before you buy

  • How much of our own history does the model need before its predictions are useful?
  • Can we see why a score or forecast came out the way it did?
  • How is accuracy measured, and is that reported to us?

Each tool page shows what the vendor’s own pages say about training on your data, model providers and AI pricing, and “Not recorded” where they say nothing. How we record AI