Agentic AI
Palantir Foundry AIP
Palantir Foundry AIP is an agentic AI platform by Palantir that covers all four layers of…
Area
Agentic AI is software that plans a sequence of steps toward a goal, calls tools to carry them out, and adjusts when a step fails. The distinction from a chatbot is control: an agent decides what to do next, rather than answering what it was asked.
Agentic AI
Palantir Foundry AIP is an agentic AI platform by Palantir that covers all four layers of…
Agentic AI
Updated 16 Sep 2026: added Aulric Labs opening its harness to non-platform customers
Agentic AI
Claude is a family of large language models made by Anthropic, available as a web and…
Agentic AI
Almost every firm in our Agentic AI area now uses the word agent. Some are shipping…
Agentic AI is software that plans a sequence of steps toward a goal, calls tools to carry them out, and adjusts when a step fails. The distinction from a chatbot is control: an agent decides what to do next, rather than answering what it was asked.
Area reviewed 14 Sep 2026
What the work involves
A working agent needs a planner that decomposes a goal, a tool layer with real permissions, a memory of what it already tried, and an evaluation harness that catches a bad run before a human does. Most projects that stall have the first and fourth missing. Ask any vendor which of the four they build and which they assume you already have.
Who buys it
The buyers who succeed have a repetitive, high-volume process with a clear success metric and a tolerable error cost. Ticket triage, invoice matching, and claims intake all qualify. Anything where a wrong action is expensive and hard to reverse belongs in a later phase, not a pilot.
Firms in this area
See all 19 firms in this area
What to ask
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Coverage in this area
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Research notes
We identified 19 firms claiming agentic delivery, then applied one bar: at least two deployments running in production for more than three months, with a named reference we could speak to. Six cleared it. The most common reason for failing was not capability but evidence: pilots that never reached production, or references the firm would not name.
| Stage | Firms | Why they dropped out |
|---|---|---|
| Claimed agentic delivery | 19 | · |
| Had a production deployment | 11 | 8 had pilots only |
| Two or more, over three months | 8 | 3 had a single deployment |
| Named reference we could speak to | 6 | 2 declined to name one |
Our July assessment scored firms partly on which model they used. That was a mistake: the model is the easiest component to swap and told us nothing about delivery capability. The September revision scores the four layers instead, which moved two firms up and one down.