Cypher

The agentic data agency built for growth

We build and run the data for growing companies, so finance, sales and the board work from the same numbers. Agents do the work, our experts keep the numbers right, you own it.

Rolling green hills with a river under a deep blue sky

Teams we’ve worked with

The problem

Your company keeps growing.
Your answers can’t keep up.

How Cypher works

We build and operate the data function your growing company needs

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Agents handle execution

Agents do the repeatable work, so reports are built once instead of rebuilt by hand every month.

Built once, running every day

Agents carry out the engineering and analysis on tested, reusable code, so the work keeps running instead of being rebuilt by hand.

Get answers without joining a queue

Ask why revenue changed, investigate churn, and create reports through an agent. Shared data and definitions let your team explore without an analyst handling every follow-up.

Make every request improve the next

Corrections and new context become part of the shared system, so recurring work gets faster and more consistent.

Software factory and data agent connected to trusted data and shared context

Experts run your data function

A consultancy builds it and leaves. We build it and keep it running as your company grows.

Cypher work backlog covering finance conversations, revenue definitions, data modeling, churn exceptions, and business context

We run it, you own it

Cypher builds, runs, and improves the system, and stays responsible for it after go-live. Work does not disappear between freelancers, tools, and internal owners.

Trust the numbers you act on

Experts resolve definitions and exceptions with your team before they turn into conflicting reports or bad decisions.

Keep control of what we build

Your data, project code, models, and business context remain yours, so changing direction never means starting over.

Cypher handles the whole data function

Lone violet flower beneath peach clouds
“We brought Cypher in to migrate our ETL from Alteryx to dbt Cloud and GitHub. They delivered seamlessly and built a governed, tested transformation layer for our work in agentic analytics and predictive marketing. They operate like an extension of our team, not a vendor running a project plan.”

Alex Marsh

VP, AI & Analytics, Gainshare

How your data should work

Understand the business first.

What counts as a customer? When does revenue count? We work alongside your team to understand the rules and exceptions, then build them into the data and context your agent uses.

Agree on the numbers. Let people explore.

We resolve conflicting definitions with the people responsible and maintain that shared understanding. Your team can explore different questions without rebuilding the logic each time.

Work through an agent. Keep knowledge shared.

Ask questions, investigate changes, and create reports through an agent. The data, definitions, and business context stay shared, so reports and agent answers use the same definitions.

Give each kind of work to what does it best.

People establish meaning and take responsibility. Agents investigate and carry out tasks. Defined calculations run in software, so a revenue total does not depend on an agent guessing how to calculate it.

Learn from failures. Test the fixes.

Errors and feedback reveal gaps in the models and context. Agents help investigate and test fixes. Questions that need business judgment go to the people who own the numbers, and validated changes become part of the shared system.

Frequently asked questions

Is Cypher a service or software?

Both. Agents and reusable software do the data work a consultancy would do by hand, and our people check it. You own your data and models. We stay responsible for running them and keep improving the system as your company grows.

How do we get started?

We’re working with a few design partners now. We agree on a useful first outcome, connect the data it needs, and check the result together. We need access to the relevant systems and time with the people who know the numbers. We handle the engineering and maintenance.

We already have a data analyst. Is this useful?

We handle data connections, recurring reporting, and maintenance so your analyst can focus on deeper questions. They work with the same maintained models and business context as the agent.

How do you check the answers?

We test the models and calculations and agree definitions with your team. Agents work from that foundation. Questions that need a business decision go to the person on your side who owns that number, and validated corrections become part of the shared system.

Can we take the work in-house?

Yes. You own your data, project code, models, and business definitions, with documentation for your team to take over. Cypher retains its reusable software and agent tools.

Give growth the data function it needs.Built and operated by data specialists. Accelerated by agents. Owned by you.

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Portrait of a Cypher data specialist

Tom Wolting

Founder, Cypher

“We brought Cypher in to migrate our ETL from Alteryx to dbt Cloud and GitHub. They delivered seamlessly and built a governed, tested transformation layer for our work in agentic analytics and predictive marketing. They operate like an extension of our team, not a vendor running a project plan.”

Alex Marsh

VP, AI & Analytics, Gainshare

Talk to Cypher

Tell us which numbers take too long or don’t agree. We’ll set up 20 minutes and show you how it would work on data like yours.

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