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Your business already has the answers.

We connect what your operations record, what your teams do, and what your customers say. Then we surface what to change, across every product, location, and service.

500M+ data points a month · Enterprises operating 34,000+ locations worldwide

StellantisJeepBMWM&T BankPorsche

Trusted by Fortune 500 enterprises operating 34,000+ locations worldwide.

500M+

data points processed per month

12

business units live at a single OEM

11 brands

4 continents

30 days

to first insight

ChryslerRamDodgeFiatMaseratiRolls-RoyceM&T Bank

The problem

Enterprises are data rich, but action poor.

The biggest opportunities are hiding in plain sight

Transactions, surveys, calls, CRMs, quarterly reports. All logged, none connected. The cost: missed revenue, silent churn, and underperforming products, locations, and services that look fine on paper.

2.4x

revenue gap

Two dealers score 90 NPS. One sells 160 units a month, the other sells 68. The score is identical. The consistency pattern behind it isn’t.

Two dealers, one scoreWeek 34 · same region

Dealer A

LOCATION 2847 · 160 UNITS / MO

NPS90
Service follow-up under 48h84%

Dealer B

LOCATION 1193 · 68 UNITS / MO

NPS90
Service follow-up under 48h31%
160
68
2.4x
Units sold per monthIdentical NPS, identical region

The score can’t see it. The behavior can: follow-up under 48 hours separates the two, and it is repeatable at every location.

The insight

Every enterprise runs two operating systems.

You’ve instrumented the technical half. The human half, where revenue is made or lost, has been invisible.

Technical operations

Measured to perfection

$800B+ in enterprise tech spend. Every metric tracked.

  • ERP, CRM, core banking, logisticsstructured
  • Every metric tracked, analyzed, optimizedmeasured
  • Tells you what happenedwhat

Human operations

Invisible by design

Where revenue is made or lost. Barely measured, never connected.

  • Service records, warranty claims, transcripts, field reportsscattered
  • Theories, anecdotes, quarterly reportsunconnected
  • Tells you why it happenedwhy

Resultid introduces

Operational Intelligence

Analytics tells you what happened. Operational Intelligence tells you why it happened, and what to change.

Runs onyour warehouse
Sources so far500+
Languages50+
Days to value30
New data collectionnone

Where we sit

On top of your data layer, not beside it.

Your lakehouse already holds the records. It does not tell a district manager what to do on Monday.

Read from

Your data layer, as it stands

  • Snowflake, Databricks, S3, Azure
  • Core systems: ERP, CRM, DMS, service
  • 500+ operational source types so far

Understand

Our own data lake, not a query queue

  • 500M+ data points a month, refreshed daily
  • 55M data points served in 1.5 seconds
  • Attribution at the level of one location

Write back

To the people who execute

  • Weekly prioritized actions, per unit
  • Web and mobile, in 50+ languages
  • 92% of operators act on theirs

Your governance boundary does not move. We replace the survey platform and the location reporting tools you already pay for, rather than adding a vendor beside them.

A data point is a single record we ingest and resolve: one service line, one transcript turn, one transaction, one survey response. Enterprise customers feed us daily, so the volume is a running rate rather than a one-time load.

How it works

From data chaos to clarity in 30 days

Three steps. Your existing data. No new collection required.

01 Connect

Connect everything

Read from where your data already lives: Snowflake, Databricks, S3, Azure, plus the operational systems that never made it into the warehouse. 500+ source types so far, and integration is free.

Data sources6 connected
Service recordsoperational
Warranty claimsoperational
CRM recordsstructured
Call transcriptsvoice
Field reportsunstructured
Survey / NPSstructured
Coverage75%
02 Understand

Find what drives performance

Our intelligence engine understands the behaviors that separate top-performing products, locations, and services from the rest.

Intelligence feed3 insights
Revenue signal
Dealers with >80% service follow-up show 125% higher sales lift
Correlation
Call transcript sentiment → 0.73 correlation with repeat purchase
Pattern
Top 20% locations share 3 operational behaviors others miss
03 Deploy

Deploy to the field

Every product, location, and service receives prioritized actions tied to revenue impact. Weekly, not quarterly. 92% of operators act on theirs.

Priority actionsthis week
Increase service follow-up callsHigh
$2.1M est. annual impact
Standardize BDC greeting scriptsHigh
$1.4M est. annual impact
Deploy review response protocolMed
$890K est. annual impact
Activation rate92%

The result: every product, location, and service knows exactly what to do next.

  • No new data collection
  • Products, locations, and services
  • Days, not months
  • Actions, not dashboards

The problem isn’t that enterprises lack data. It’s that half their operations are invisible.

Industries

Built for industries where every product, location, and service is a revenue engine.

Universal intelligence. Industry-specific proof.

125% sales lift for dealers with consistent CX execution

3,500+ dealership locations for a top-5 global OEM

Problem

OEMs spend hundreds of millions on dealer incentives tied to NPS scores that can’t tell a 160-unit dealer from a 68-unit dealer.

Solution

Connects dealer feedback to sales, service, and retention, surfacing which behaviors drive purchase at every dealership, every week.

Explore automotive intelligence
Dealer 2847Service follow-up under 48h+125%
Dealer 1193Service follow-up under 48hbaseline
District 7Review response protocol$890K
38 storesBDC greeting script drift$1.4M
Region EastLounge wait over 20 minwatch
Dealers acting on their weekly brief92%

Results at scale

$200M+

Invisible revenue surfaced from data our customers already had.

Not projected. Not modeled. Found in operational signals hiding in plain sight. $107M+ of it at a single Fortune 500 OEM.

125%

Sales lift

Dealers with consistent execution outsold peers at identical NPS

92%

Activation rate

Operators acting on their weekly brief, across 3,500+ locations. 280% of typical targets.

30

Days to first insight

No new data collection. Proof of value from existing data.

300M+

Records at a single OEM

Across 12 business units. One customer, one deployment.

Case study

Fortune 500 Automotive OEM

3,500+ locations · 12 business units · 11 brands · Global

Challenge

300M+ records across 12 business units. Dealers with identical NPS scores had wildly different sales performance. Nobody could explain why.

Discovery

$107M+ in invisible revenue hiding in the gap between satisfaction scores and operational execution.

Impact

125% sales lift. 92% activation rate. Repeatable at every location, every week.

“Resultid surfaced $107M in hidden revenue across 3,500+ locations that our existing analytics platform couldn’t see. The intelligence reached operators within the first 30 days.”

VP of Operations, Fortune 500 Automotive OEM

Retail · Case study

Recouped 78% of the revenue-linked decline.

Declines of 6–11% across underperforming stores reversed to +8.3% and +5.4% once operators acted on what the data showed.

Across industries

Built for leading operators across automotive, banking, travel, hospitality, and retail.

Security & trust

Already vetted by Fortune 500 security and compliance teams.

GDPR-compliant. Your data is never retained or used to train AI models. AES-256 encryption, and minimal PII: we process name and email only.

Read our security & trust overview
TISAX labelregistered, verifiable on the ENX portal
Fortune 500 procurementcleared
GDPR compliantcertified
Zero-retention AInever trained on your data
AES-256 encryptionat rest and in transit
Minimal PIIname and email only
MFA + RBACenforced
SOC 2 Type IIin progress

Start with one question. One KPI. 30 days.

Your existing data. No new surveys. No integrations. No consultants.

30 days to first insight · Runs on your existing data · Security & trust overview

If we can’t show you revenue you didn’t know was there, you’ll know in the first meeting.