Pricing

Three ways to get AI answering business questions. One stays right.

Point Claude at raw data and it's right one time in five. Build the stack yourself and it holds up only as long as your data hire keeps maintaining it. We hold 99.9%, and we're the ones maintaining it.

99.9% accuracy Live in days No hire required

What You're Actually Comparing

Not one line item. Everything it takes to get AI reliably answering questions about your business.

Claude, alone
Setup cost
Near $0 to start
Time to first insight
Immediate, but unreliable
Accuracy on business questions
~21%
Without ongoing upkeep
Never accurate to begin with
Who's watching it
No one
Token cost per query
Higher: raw schema context, plus retries on wrong answers
Build it in-house
Setup cost
$130K+ base salary, plus $15K–50K/yr in tooling
Time to first insight
6–12 months
Accuracy on business questions
95%+, if actively maintained
Without ongoing upkeep
Drifts to 65% within a month
Who's watching it
Whoever you hired, part-time at best
Token cost per query
Efficient, once built
Pliable Recommended
Setup cost
A fraction of both, all-in
Time to first insight
5–7 business days
Accuracy on business questions
99.9%, maintained continuously
Without ongoing upkeep
Not applicable: upkeep is the product
Who's watching it
Us, full-time
Token cost per query
Efficient from day one

Accuracy figures (21% raw, 95%+ with a governed semantic layer, drift to 65% without dedicated maintenance) are Anthropic's own published results from grounding Claude in a semantic layer for internal analytics. Source: Anthropic, “How Anthropic enables self-service data analytics with Claude.”

Skip the guesswork. Skip the headcount. Just get answers you can trust.

You don't need a six-figure data hire and a 12-month roadmap to get here, and you don't need to gamble on raw AI either. Pliable is the only agentic data team that puts platform, services, and expertise in one place, so the accuracy is built in from day one, not something you have to build toward.