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AI That Actually Knows Your Business

Most businesses are spending money on AI subscriptions and getting generic output in return. The problem isn't the AI — it's that the AI doesn't know your customers, your voice, or your operations. Centupli fixes that.

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Who We Serve

Built for businesses that are serious about AI ROI

We work best with SMBs generating $500K–$5M in revenue, marketing agencies, and professional services firms — organizations large enough to have complex knowledge needs, small enough to move fast without enterprise procurement cycles.

You're paying for AI that wastes your time

Your team rewrites the same prompt a dozen times trying to get output that sounds like your brand. That's not an AI problem — it's a context problem. Your AI doesn't know who you are.

Knowledge lives in people, not systems

When a key employee leaves, they take institutional knowledge with them. Centupli extracts that knowledge, structures it, and makes it permanently available to every AI tool you use.

You can't measure what AI is actually doing

Most businesses can't tell you whether AI is saving them money or quietly introducing errors. We build the system that makes AI outputs auditable, consistent, and attributable.

Competitive Clarity

How Centupli fits in your AI stack

Context engineering is a layer most AI tools assume you already have. We're the team that builds it.

vs. Glean / Guru

What you need before you need Guru

Enterprise search tools assume your data is already clean, organized, and authoritative. Ours isn't. Centupli does the upstream work — structuring and governing your knowledge — so when you're ready for enterprise search, it actually works.

vs. Microsoft Copilot

Copilot amplifies what you have. We fix what you have.

Copilot is powerful when your organization's data is trustworthy. Without context engineering, Copilot surfaces conflicting information, outdated policies, and half-truths at enterprise scale. We make sure what Copilot finds is worth finding.

vs. Building In-House

Your engineering team has higher-leverage work to do

A full-time AI engineer costs $150K–$250K per year and still won't bring the cross-industry pattern recognition we've built across dozens of context engineering engagements. We're faster, cheaper, and already know the pitfalls.

The Engagement

What you get when you work with us

Discovery call and organizational knowledge audit

Data source mapping and integration plan

Context layer architecture and governance framework

Initial ingest and clean of your highest-priority knowledge sources

Monthly retainer includes ongoing optimization and new source onboarding

Direct access to your context engineer — not a support ticket queue

Case Study

Early Results

Hand-drawn Impact vs. Time growth chart in a grid notebook

The Trajectory

Context engineering compounds. The longer your AI knows your business, the faster it gets.

Marketing Agency — Tulsa, OK

"We went from spending 3 hours per client brief to 25 minutes."

A regional marketing agency was using ChatGPT for client content but spending most of their time rewriting outputs that didn't match brand voice. After a Centupli context engineering engagement, they had a structured brand knowledge base that produced on-brand first drafts consistently across all six of their client accounts.

83%
Reduction in revision time
Client accounts covered
3 wks
Time to production context
Free Assessment

Are You AI Ready?

Most organizations are deploying AI without the foundation it needs to perform. Find out where you stand in five minutes.

No sales pitch. No email required to start. Just an honest look at your AI readiness.