Data and AI solutions for management teams

Solve your most complex business problems in days.

Not a stack of tools, not a statement of work. Working solutions for revenue growth, efficiency, risk and AI transformation, live on your own data and 80% complete on day one.

CHORAL · ASK
SolutionsRestaurantsFinancialsSalesRisk ReportsStore InsightsMenu InsightsPrice Planner
What were our best-selling menu items last quarter?

Menu sales were $43.8M, +4.6% on last year. Burgers lead and chicken is growing fastest.

Cheeseburger combo$3.28M
Double BBQ Bacon$3.09M
Double Cheeseburger$2.45M
BBQ Bacon combo$2.40M
Source Menu InsightsSample data
Founded by Enterprise & Technology Leaders Retail · CPG · Banking · Manufacturing · Airline · Consulting
12 Patents Pioneering data & analytics innovation
31 Pre-built Apps Across industries and business functions

How we help

Every goal starts with a hard question.

Pick the goal that matters most. See the questions leaders ask and the solutions that answer them with your data and AI, in days.

The question

Where is the next dollar of sales, and what drives it?

Solutions that answer it
Sales

Which units, products, channels and locations are winning, and why?

Sales by business unit, product, channel and location.

  • Dashboards
  • AI reports
  • AI Analyst

31 solutions on one shared model. See them all

The missing piece

Your AI is missing three things. Only Choral has them on day one.

Every vendor has connected AI to your data. None of them taught it what your data means, which is why the answers sound certain and cannot be checked. Choral is the piece that was missing, already built for your industry.

  • 01 · The map of your business What exists, and how does it connect?

    Customers, orders, products, stores and the rules that tie them together. Choral knows your business before it reads a single number.

  • 02 · The definitions How is each number calculated?

    Revenue means one thing, and it means that one thing in every dashboard, every report and every AI answer.

  • 03 · The checks Is the data right?

    Your data is checked every time it refreshes. Anything that fails is held back and flagged, so a wrong number never reaches a decision.

AI Analyst

Why are sales down in the West?

West sales are −3.1% on last year. Fewer orders explain most of it; four restaurants account for 70% of the drop.

Answered from validated data
Choral
The map The definitions The checks

Knows which restaurants make up the West. Sales means the same thing as last year, everywhere. Every number was checked before it reached the answer.

Your data
ERPCRMPOSSpreadsheets
For your CIO and AI team: the technical view
For CIOs and AI teams · The technical view

Three questions AI must answer before it can answer yours.

Think of a road map. The legend says what a road, a river and a border are. The map shows the actual roads and rivers. The route planner knows how to measure a distance and which roads count. An ontology is the legend, a knowledge graph is the map, and a semantic model is the route planner.

All three in one modeling method.

To answer well, AI must also understand the business. That takes three needs, usually met with three different tools.

1

What exists, and how does it connect?

Ontology · the legend

The kinds of things and their relationships, and the rules between them.

Customer places Order at Store in Region · an order is placed at exactly one store · a store sits in one region

2

How is each number calculated?

Semantic model · the route planner

The tables, their joins and one definition per metric.

Revenue = sum of order-line value, net of refunds, by order date · Order count = number of distinct orders

3

What actually exists in this enterprise?

Knowledge graph · the map

The model filled with the enterprise's actual things and links, loaded by a pipeline that validates the data.

Acme Corp placed Order 45873 at Store 412 in Orange County

An enterprise usually meets the three needs with three tools, and keeps them in step by hand. Choral builds all three in one structure, the Choral data model, so they cannot disagree.

NeedWith tools, built in-houseWith the Choral model
1Ontology An ontology editor; the business's concepts and rules defined from scratch Concepts and rules already defined: three table types (dimensions, catalogs, journals) and four relationship types, with a pre-built model for each domain
2Semantic model Each metric and join declared in a BI tool, project by project Measures with a declared grain and additivity, shared hierarchies and joins by key name, all properties of the model itself
3Knowledge graph A graph database; the entities and links modeled, then loaded Catalogs of entities linked by named keys, loaded from templates by a pipeline that validates the data
Agreement Three tools, three definitions of "customer", reconciled by hand or by the AI at question time One structure states what a thing is, how it links and how it adds up; dashboards, SQL and AI all read it
The Choral model

See the model on your own data.

Get a technical demo

The shift

It used to take years. Now it takes days.

The analytics program you were going to scope, staff, and wait on is already built. Here is what that changes.

Days

Not quarters

Pick the apps for your business problem, load the data they list, and start using them this week.

Seconds

Not meetings

Ask out loud on your phone and get the answer instantly. No ticket, no analyst, no queue.

One

Set of numbers

Finance, operations, and risk, all reading from the same definitions. Nothing left to reconcile.

Why days, not quarters

Domain expertise, data and AI, in one system.

Not because we work faster. Most analytics programs buy these three separately and spend months joining them. Choral arrives with them joined, so even your hardest question gets answered in days.

Domain expertise, data and AI meeting in one system Three overlapping circles labelled Domain expertise, Data and AI. Choral sits in the middle, where all three meet. Domain expertise Data AI Choral

Domain expertise

You never have to explain your business

It already knows what a store, a margin or a churn rate means in your industry, and which questions are worth asking about them.

Data

Every number already checked

Your data is mapped to those definitions and rechecked on every refresh, so the figure on the screen is the one your whole team can act on.

AI

Answers you can take into the room

Ask in plain language, get an answer in seconds, and see the source behind it. Confident enough to decide on, and easy to stand behind.

Because the three arrive integrated in one pre-built system, an app goes live in days instead of months.

Why one set of numbers

The questions no single department can answer.

Each one spans finance, operations and risk. When those teams work from different numbers, settling it takes weeks of reconciling whose figure is right. On one shared model it is just a question you ask.

01

Where the next dollar of growth comes from

By customer, product, channel and location, in one answer rather than four reports.

02

Which costs are out of line, and the process behind them

The variance and its cause, rather than the variance alone.

03

What credit, operational and cyber exposure you are carrying

Early enough to do something about it.

04

Which people, technology and partners the strategy needs

Assessed against the plan you have actually committed to.

Case study · Quick-service restaurants

A restaurant group sets its prices with the brand, restaurant by restaurant.

A franchisee running more than 190 restaurants loaded its point-of-sale data into Choral’s QSR solution. Within weeks, its management team was answering the questions that move the business.

01

How is each restaurant really performing?

Sales, guests and average check against last year, store by store, with the ones that need attention flagged.

02

Where do our prices sit against the competition?

Each item benchmarked against the rivals nearest each restaurant, on a map.

03

What should we change, and what is it worth?

Menu, market and combo pricing set in a working session, with the impact on sales and guests shown as each decision is made.

04

Did it work?

Every price change tracked after it goes live, restaurant by restaurant.

What it covers
StoresEvery restaurant, its status and trend
MenuItems, combos and the mix
ChannelDrive-thru, dine-in and delivery
DaypartBreakfast to late night
PricingPlan it, benchmark it, track it
MarketingPromotions and advertising
DemographicsWho lives around each restaurant
CompetitorsThe rivals near each restaurant
One shared, trusted view of the business: for the franchisee, the brand and the restaurant managers. Decisions made together, in the room.

Inside every solution

Everything you need to act, already worked out. From day one.

Every solution arrives with the same four ways to work, all running on your own data.

01 · AI Analyst
Ask, and get a clear answer

Plain language, by chat or voice. Every answer shows its source.

Top menu items last quarter?
Cheeseburger combo$5.43M
Double BBQ Bacon$5.11M
Classic single+25.9%
MenuMenu Insights
02 · AI reports
The analysis is written for you

Performance, opportunities and risks, summarised from your data.

Store Insights
Prepared 30 September
225All stores+2.9%
119Gaining+7.1%
25Softening+2.2%
03 · Dashboards
See the business at a glance

Intuitive views, from the whole business down to every location.

Estate · 225 locations
04 · Act
Make the call, then prove it worked

Set prices and plans in the tool, and track what each decision actually did.

Price planner
Cheeseburger combo$8.49$8.79
Double BBQ Bacon$9.99$10.29
Chicken combo$7.99$8.29
Tracked after rollout: margin +1.4%, guest counts held.

Industry coverage

The same solution that runs a restaurant chain runs your industry.

Start with a solution that is 80% complete on day one, then tailor the remainder to how your business actually runs. The same model applies whether you operate restaurants, branches, plants or hospitals.

Retail & consumer

Financial & services

Industry & infrastructure

Health & public sector

Retail & consumer

Restaurants (QSR)

Set prices and read restaurant performance with the brand, restaurant by restaurant.

Questions it answers on day one

  • How is each restaurant performing on sales, guests and average check?
  • Where do our prices sit against the rivals nearest each restaurant?
  • What should we change on the menu, and what is it worth?
  • Did the last price change do what we expected?

Typical sources

Point of sale, menu and recipe files, competitor pricing, demographics, weather

See it on your own data

Retail & consumer

Grocery retail

Read the basket, the shelf and the store in one place.

Questions it answers on day one

  • Which categories and stores are carrying growth, and which are drifting?
  • How is promotion and markdown spend converting into margin?
  • Where is availability costing us sales?

Typical sources

Point of sale, loyalty, inventory, supplier and promotion files

See it on your own data

Retail & consumer

Consumer goods

See the brand through to the shelf, by retailer and by region.

Questions it answers on day one

  • How is each brand and pack performing by retailer?
  • What is trade spend actually returning?
  • Where is distribution thinner than the plan assumed?

Typical sources

Shipments, syndicated retail measurement, trade promotion, pricing

See it on your own data

Financial & services

Banking

Read the book, the branch and the customer relationship together.

Questions it answers on day one

  • Where is deposit and lending growth coming from?
  • How is credit quality moving across segments?
  • Which relationships are worth more than their current product set?

Typical sources

Core banking, loan origination, card, branch and digital channel data

See it on your own data

Financial & services

Private equity

See the whole portfolio on one set of definitions.

Questions it answers on day one

  • How is each company tracking against its plan?
  • Which value-creation levers are actually moving?
  • Where is the next dollar of growth in the portfolio?

Typical sources

Portfolio company reporting, deal models, market and benchmark data

See it on your own data

Financial & services

Staffing

Read demand, fill and margin across every desk.

Questions it answers on day one

  • Where is placement demand building, by skill and geography?
  • How is fill rate and time to fill trending by desk?
  • Which contracts are earning their margin?

Typical sources

Applicant tracking, timesheets, billing, job board and market pay data

See it on your own data

Industry & infrastructure

Automotive

Follow the vehicle from plant to dealer to owner.

Questions it answers on day one

  • How is model and trim demand moving by region?
  • Where is warranty and quality cost concentrating?
  • How is dealer inventory aging against the plan?

Typical sources

Production, dealer management, warranty claims, registrations, parts

See it on your own data

Industry & infrastructure

Shipping & logistics

See cost, service and capacity on the same screen.

Questions it answers on day one

  • What is cost to serve by lane, customer and mode?
  • Where is on-time performance slipping, and why?
  • Where is capacity tight against committed volume?

Typical sources

Transport management, warehouse management, telematics, carrier rates

See it on your own data

Industry & infrastructure

Electric utility

Read load, asset health and service together.

Questions it answers on day one

  • How is load shaping by feeder and by season?
  • Which assets are carrying the most risk of failure?
  • Where is outage duration driving customer impact?

Typical sources

Meter and SCADA data, asset registers, outage management, weather

See it on your own data

Health & public sector

Hospitals

Read capacity, cost and outcomes as one picture.

Questions it answers on day one

  • Where is capacity constrained across the care pathway?
  • How is cost per case moving by service line?
  • Which outcome and readmission measures are drifting?

Typical sources

Electronic health records, scheduling, supply chain, cost accounting

See it on your own data

Health & public sector

City government

Read service delivery and spend across departments.

Questions it answers on day one

  • How is each service performing against its commitment?
  • Where is the budget tracking ahead of or behind plan?
  • Which neighborhoods are underserved relative to need?

Typical sources

Finance and budget systems, 311 and case management, permits, census

See it on your own data
Plus 20 cross-functional solutions that apply in any sector, covering finance, HR, IT, risk and more.

Getting started

Three steps to your first answer.

Every solution follows the same path. There is nothing to build and no project to wait on. Your leaders are asking questions within days.

01 · Choose

Choose a solution

The measures, views and reports are already built for your industry or function.

02 · Load

Add your data

We tell you which tables we need. They come from wherever they already sit.

Lake · database · API · spreadsheet

03 · Ask

Ask in plain English

Your leaders ask the questions themselves, and the solution grows as the business does.

For consulting firms

The next era of consulting is people and software.

Choral delivers superior analytics in days. Your team brings the judgment that turns answers into results. Together you solve your clients’ hardest problems faster.

Choral builds

  • The solutions and their data model
  • The AI Analyst and AI reports
  • Deployment in days

Your firm leads

  • Business engagement
  • Change management
  • Problem solving

A client-ready demonstration in week one.