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AI Analytics Dashboards

Custom dashboards, powered by AI

Dashboards your team can ask questions of directly, that surface what matters without a hundred filters. We build them custom on your existing systems, or set them up in Anthropic's new Claude Dashboards.

What we do

What we help with

Whether you're starting from scratch or fixing what's already there, these are the problems we solve most often.

  • Claude Dashboards setup on your warehouse or Salesforce
  • Natural language questions over your business data
  • AI-generated narratives & automated insight summaries
  • Anomaly detection & forecasting layers
  • Custom LLM-powered dashboards built for your data model
  • An AI layer on top of existing Tableau or Power BI
  • Rapid prototyping: a working demo before a long build
  • Human-reviewed, explainable AI, no unchecked black boxes

See it in action

A working example, live

10 years of quarterly financials, profitability, and stock price for Apple, Microsoft, Alphabet, Amazon, Meta, Nvidia and Tesla. Click around, or pick a few to compare directly.

Jump to the live demo

How we work

A short path from first call to working dashboard.

  1. 1

    Discovery

    We get just enough of the picture to start building, not endless requirements docs.

  2. 2

    Prototype

    A working demo against real (or representative) data, fast, so you can react to something real.

  3. 3

    Iterate

    Real feedback from real use beats a spec written before anyone saw the data.

  4. 4

    Hand-off & train

    You keep full ownership. We teach your team so you're never stuck depending on us.

Two ways to get there

Custom-built, or Claude Dashboards.

Both start from the same place: data you can trust. We'll help you pick the right one for your team, your stack, and your budget.

Custom AI dashboard

Built for you, owned by you

A dashboard designed around your exact workflow and data model, with an AI layer your team can ask questions of.

  • Fully flexible

    Built around your exact data and workflow, not bent to fit a vendor's fixed dashboard template.

  • No monthly user subscriptions

    You own it outright. No per-seat licensing fees like traditional BI tools charge every user, every month.

  • Fast to build with AI

    AI-assisted development means a working prototype in days, not months of traditional build time.

New: Claude Dashboards

Live dashboards from plain-English questions

Anthropic's Claude Dashboards turns questions into live, auto-refreshing dashboards, with every number traceable to the query behind it. We make sure it's built on solid ground.

  • Get your data ready

    Claude Dashboards reads straight from your warehouse, so the numbers are only as good as the data underneath. We build that foundation first.

  • Connect and define once

    We connect Snowflake, BigQuery, Databricks, Redshift, ClickHouse, or Salesforce, and agree on one definition for every key metric.

  • Build, share, and hand off

    We set up the first dashboards your team actually needs, configure sharing so people only see what they should, and train your team.

Claude Dashboards is an Anthropic product, currently in beta on paid Claude plans. We're an independent consultancy and not affiliated with Anthropic.

See a Claude Dashboards build, start to finish

Messy data, the BigQuery foundation we built, one plain-English question, and a live executive dashboard with every number checked.

View the demo

Our approach

Why workflow-first AI actually works.

A 2026 McKinsey analysis found that most companies deploying AI see little financial return, not because the technology fails, but because they add it on top of workflows and decision-making that never actually change. The companies seeing real results redesign how a decision gets made first, then build the tool around it.

That's the order we build in too. Discovery before dashboard. We learn how your team actually makes a decision, then build the automation and dashboard that fits it, not a generic tool you have to bend your process around.

Why most AI dashboard projects fail to move the needle

Live demo

See it live: the Magnificent Seven.

10 years of quarterly financial-statement data for Apple, Microsoft, Alphabet, Amazon, Meta, Nvidia, and Tesla, pulled from SEC EDGAR. Want to try it on your own numbers? Drop a CSV into the Instant Dashboard.

Apple Inc.: last reported quarter (Q3 FY2026)

Revenue
$109.4B
Net Income
$29.8B
CapEx
$2.5B
CapEx / Earnings
8.2%

Revenue, last 10 years

Net income, last 10 years

Stock price, last 10 years

Split/dividend-adjusted close, nearest each quarter's period end.

Profitability, last 10 years

Gross, operating, and net margin together.

CapEx / Earnings: the "not obvious at a glance" number

What share of a quarter's net income gets reinvested straight back into capital spending. Above 100% means the company spent more on capex than it earned that quarter.

CapEx / Earnings across all seven, last reported quarter

Each company's own most recent filed quarter. Filing dates aren't identical across companies.

AAPL8.2%
MSFT100.1%
GOOGL40.0%
AMZN86.5%
META190.0%
NVDA4.5%
TSLA519.7%

Compare companies over time

Pick any combination of the seven and a metric, aligned by calendar quarter, since fiscal year-ends don't match across these companies.

Full quarterly data: AAPL

Get started

Curious what an AI dashboard could do for your data?

Tell us what you're working on and we'll follow up, or grab a time on our calendar right now.

  • A free call with a senior consultant, not a sales rep
  • An honest read on what to tackle first, and what can wait
  • No pitch deck, no pressure, no obligation
Book a free consultation

Or send us a note

A few lines is plenty. We'll take it from there.