AdalineAR / 01

ADALINE / ARBOR / 01

Management intelligence for business.

Arbor connects to your business, understands how it works, and continuously identifies what management should do next.

Request an introduction
MANAGERIAL REALITYCONTINUOUS01.01
ROOT-CAUSE TRACEEXAMPLE SIGNAL / 01.01
REVENUE↓ 11%
Trafficunchanged
Signups+3%
Trials+4%
Conversion↓ 19%
Retentionunchanged
USnormal
UKnormal
Germany↓ 31%
Monthly plannormal
Annual plan↓ 42%
STARTED AFTERPAYWALL v4.7
EST. REVENUE AT RISK€14,200 / MONTH

BRANCHES CHECKED: 09CAUSE IS A HYPOTHESIS UNTIL EVIDENCE CONFIRMS IT

Read the model

01 / THE MODEL

A company is more than its systems.

Arbor starts with the systems you already use.

Connect the tools that hold the company's history. Arbor turns fragmented business signals into a model it can investigate, explain, and learn from.

SOURCES / CONNECTED08
  • 01RevenueCatREADY
  • 02StripeREADY
  • 03App Store ConnectREADY
  • 04AccountingREADY
  • 05AnalyticsREADY
  • 06CRMREADY
  • 07Ad platformsREADY
  • 08Internal documentsREADY

Internal documents join the model as the context layer expands.

ARBOR / MODEL TREE01.02
  • Revenue
    • New customers
      • Traffic
      • Conversion
      • Pricing
    • Existing customers
      • Retention
      • Churn
      • Expansion
    • Costs
      • Marketing
      • Infrastructure
      • Employees
      • Suppliers

Every branch is a question Arbor can investigate.

02 / THE LOOP

Observe → learn → repeat

The Arbor loop.

A recommendation is only the middle of the work. Arbor stays with the decision through action, outcome, and what the company learns next.

  1. 01Observe
  2. 02Diagnose
  3. 03Recommend
  4. 04Execute
  5. 05Measure
  6. 06Learn
  1. 01

    ARBOR / 01

    Observe

    Arbor continuously watches the business for unusual changes: CAC rising, refunds moving, revenue per new user slipping, or infrastructure costs outpacing usage.

  2. 02

    ARBOR / 02

    Diagnose

    Specialized agents investigate different branches of the problem—growth, finance, pricing, customers, competition, and operations—then an orchestrator combines their work.

  3. 03

    ARBOR / 03

    Recommend

    Arbor explains what happened, why it happened, what management could do next, the expected financial impact, its confidence, and the evidence underneath.

  4. 04

    DIRECTION OF TRAVEL

    Execute

    At first, Arbor prepares the work: experiment specs, pricing models, forecasts, implementation plans, board decks, and tasks. Later, it can act with permission.

  5. 05

    ARBOR / 05

    Measure

    It stays with the decision after it is made, watching the result instead of leaving the work at the recommendation.

  6. 06

    ARBOR / 06

    Learn

    Arbor stores the situation, recommendation, action, and outcome so it increasingly understands how this specific company behaves.

03 / THE MANAGEMENT LAYER

Judgment stays human.

Palantir organizes operational reality. Arbor organizes managerial reality.

Not another dashboard. A briefing.

Arbor does not replace judgment. It improves the conditions around it—with a recommendation that carries its evidence, confidence, and expected impact into the room.

ILLUSTRATIVE BRIEFINGMONDAY / 09:12

GOOD MORNING.

3 things require your attention.

01

German trial conversion has deteriorated

IMPACT~€11.4k MRR
CONFIDENCEHigh
PROBABLE CAUSEPaywall v4.7
RECOMMENDED ACTIONRoll back the annual-plan presentation for German users and run a 50/50 test.
EVIDENCE / TRACERevenue ↓ 11% → Conversion ↓ 19% → Germany ↓ 31% → Annual plan ↓ 42% → Paywall v4.7
01What changed?02Why does it matter?03What should we do now?04What happens if we wait?

BUSINESS ONTOLOGY+DECISION HISTORY+OUTCOME HISTORY

Arbor remembers what happened after the decision.

ARBOR / IN DEVELOPMENT

Run the company you can see.

We are building the layer between what a company knows and what it does next.

Talk to Adaline