Live in 24 hours

Your entire business,
inside Claude

Connect everything once, and the business finally makes sense. Ask it anything in plain English — the answers worth the most are the ones no single system could have given you.

Book a demo See it work

No dashboard to learn. No analyst to hire. No spreadsheet, ever again.

claude.ai — Synthesis connected

Where is my next million?

Synthesis

Your starter kit brings in customers worth $211 in their first year — 2.9x your best seller — on 6% of your ad spend. You are rationing your best customers and buying your worst. Moving a quarter of the budget behind it is worth about $1.2M over the next year.

Year-one value per customer $2112.9x

Share of your ad spend 6%flat 9 mo

Twelve-month upside $1.2M

Built from orders_mastercohort_ltv meta.adsamazon.ads

Only cohorts with a full twelve months are counted, so the 2.9x is measured, not projected.

Illustrative example. Your panel is built from your own live data.

Works inside the AI you already use

Claude

ChatGPT

Perplexity

Slack

Notion

Lovable

Manus

The brands that run on Synthesis

Ask it anything

“Why is my margin down this quarter?”

Your fee per unit rose $1.10 in March. Nobody told you. $46k a year.

amazon.settlementsfeesunits_sold

“Is my Meta spend paying back?”

Yes, at 74 days. You keep judging it at seven.

meta.adscohort_ltvorders_master

“Which product should I stop making?”

None. Two need a price rise, not the axe.

product_familiesnetsuite.glunit_economics

“Why did repeat purchase fall?”

It did not. Half those cohorts are too young to have repeated yet.

cohort_metricsorders_master

“Where am I losing money on Amazon?”

$41k a quarter, in returns on one pack size.

amazon.settlementsreturnsproduct_families

“What am I under-spending on?”

Your starter kit. It brings the customers worth most, on 6% of the budget.

quality_adjusted_cacproduct_ltvmeta.ads

Illustrative examples. Every answer is built from your own live data.

Live in 24 hours Bank-grade security, encrypted in Google BigQuery Runs in the AI you already pay for $999 / month, cancel any time

Why this exists

Everything you need to know is already in the building

Every one of your systems is right about its own piece. Not one of them has ever been read alongside the other four.

$1.26M

Revenue

Amazon

cannot see what it cost to make

4,182

Subscribers

Shopify

cannot see what sold on Amazon

$312k

Ad spend

Connected Monday. Answering Tuesday.

You do not set any of this up. We connect your sources with you, on a call, and you are asking questions the next morning — the way you would ask your sharpest advisor, except this one has read every order, every invoice and every call.

We connect your sources

We get on a call and link your marketplaces, store, ad accounts and accounting software with you. You never touch a settings page alone.

AmazonShopifyWalmartMetaNetSuite

Add the context

Connect call transcripts, email threads, Slack and company files. Synthesis reads them and folds them in alongside the numbers.

Call transcriptsEmail threadsSlack

Ask Claude anything

Ask in plain English and get a board-ready answer, built from your own numbers and citing where each one came from.

Which SKU should I cut?Where is my next $1M?

How it thinks

The advisor who has been with you ten years. Except it has read everything.

A good advisor is worth what they are worth because of what they carry around — your history, your last three bad calls, the reason you stopped selling that product in 2023. This one carries all of it, and works the same nine steps every time, including the one where it tries to prove itself wrong before you see the answer.

1
Understand What are you actually asking?
“Where is my next million?” is not a revenue question. It is a question about which product deserves the next dollar of budget.

question intentbrand context
2
Pull data Reads every system, not one.
Orders, ad spend, cohorts and margin — 5,830 fields across 49 connected systems, as they stand today.

orders_mastermeta.adscohort_ltvamazon.ads
✓ Accuracy checked · data in
3
Read Puts the numbers in order.
Ranks every product by the customers it brings in rather than the revenue it books — a different list entirely.

product_familiesnew_to_brand
4
Pinpoint Finds the one that matters.
The starter kit brings in customers worth $211 in year one, 2.9x the best seller — on 6% of the budget.

quality_adjusted_cacproduct_ltv
5
Weigh Says what it would cost you.
Moving budget means fewer first orders this month against a materially better cohort next year. It states both sides.

unit_economicspayback_window
6
Model Runs it forward.
A quarter of the budget behind the starter kit is worth about $1.2M over the following year at current repeat rates.

run_scenariomonthly_projection
7
Stress-test Tries to prove itself wrong.
Only cohorts with a full twelve months are counted, so the 2.9x is measured rather than projected. Younger cohorts are excluded.

cohort censoringcheck_comparable_basis
8
Answer Tells you the thing to do.
One recommendation, the number behind it, and the sources it came from — with whatever it cannot yet know said out loud.

answercitations
✓ Accuracy checked · answer out
9
Learn Keeps what held up.
The claim is registered and scored when the outcome lands, so the next answer starts from a track record rather than from zero.

register_predictiontrack_record

Following the question from the top of this page. Illustrative figures; every answer is built from your own live data.

It will not invent a number

Every figure is traced back to where it came from. And when your data genuinely cannot answer the question, it says so — which nothing else in this category will do.

It tells you the truth, even when you do not want to hear it

One call and the number behind it. Not five options and a shrug.

It gets better every month you own it

It writes down what it predicted and scores itself when the outcome lands, so month twelve starts from a track record.

The reasoning belongs to you

It runs inside the AI account you already pay for. You keep the answers and the record of how it got there.

It knows when to go deep

Simple questions get a fast, direct answer. High-stakes decisions trigger the full loop. You only pay for depth when it counts.

One connection

Everything flows in. One model. Every AI you already use.

Your sources land in your own warehouse, become one living model of the business, and are served to any AI that speaks MCP.

Amazon
Orders · ads · fees

Shopify
Orders · customers

Meta Ads
Spend · creative

Klaviyo
Flows · campaigns

NetSuite
GL · margin

TikTok Ads
+ 43 more connectors Claude
Custom connector

ChatGPT
Developer mode

Perplexity
Remote connector

Slack
Ask in a channel

Notion
Custom agent

Manus
Autonomous agent

SynthesisOne living model

Amazon

Shopify

Meta Ads

Klaviyo

NetSuite

+ 43 more

Synthesis

Claude

ChatGPT

Perplexity

Slack

Notion

Manus

The layer underneath

It is not a database. It is a model of your business.

Most tools store rows. Synthesis stores the things your business is made of, how they relate, and what can be done about them. That is what an ontology is, and it is why one question can read every system at once.

cross-sells to has variant cohort of competes with describes sold via resolves to applies to promoted from Product families6 properties Customer cohorts5 properties Product variants9 properties · 4 links Competitors4 properties Verified facts6 properties Sales channels4 properties Predictions6 properties Principles6 properties

Object types

The things your business is made of. Each carries its own properties and its own history, and the model can list them back to you on request.

Link types

How they reach each other. Links are why one question can travel from a product, to the customers it won, to the channel it sold through.

Governed actions

What it may write back. A model that only reads never learns, and one that can write anything is not safe. Six need a human to approve them.

40,900Fields in the model

1,422Data tables

109Connected datasets

49Systems it reads

490+Analyses it can run

Counted from the running warehouse, not estimated. A single brand’s model accounts for 358 tables and 5,830 of those fields before any of its own uploaded spreadsheets, which typically add several hundred tables again.

Every system it reads

Amazon Amazon Ads Shopify Meta Google Ads TikTok Ads NetSuite Stripe Klaviyo Recharge Skio Gorgias Walmart Target Instacart SPINS Salesforce GA4 Google Search Console Triple Whale ShipStation ShipHero Inventory Planner Loop Attentive Postscript Yotpo Mailchimp Omnisend ActiveCampaign Brevo Customer.io Campaign Monitor Fairing Grin Trybe Growi ShopMy Levanta Stay UpPromote Euka Cruva Crisp Slack Google Sheets Google Drive Documents Warehouse

Siloed tools cannot see across the business. A connected model sees the whole picture at once, the way your sharpest advisor would if they had read every system.

Ask in plain English

Ask for the deck. Get the deck.

A real session, inside the Claude you already use, grounded in your live data and honest about what it cannot yet know.

Claude Synthesis connected

Build my June operating deck

Anchoring June against the last closed month

Reconciling marketplace settlement, about 55% of revenue

Confirming a record Prime Day, 25% over last year

Pulling SKU concentration and DTC subscription health

Building 9 slides, every figure pulled live from your warehouse

Visual check, caught a rounding defect on the revenue chart and fixed it

Done. A 9-slide June operating review, every number pulled live today. June was your best month ever at $5.2M, up 130% on May.

One honest note, and not a caveat on the win. The full-company P&L is not closed yet, so I marked June's bottom line pending rather than estimated. The top line is real and verified.

Everbloom · Wellness

June 2026
Operating Review

A record Prime Day. Marketplace and DTC actuals, full-company P&L pending close.

The month at a glance

June was a record, up 130% on May

$5.2MMarketplace net revenue

215KOrders

Slide 2

Revenue trajectory

June set a new record high

+25% YoY · Slide 3

Close status

Top line verified. Bottom line honestly is not closed.

22%Last closed EBITDA, May

$3.2MGross revenue, May

Slide 7

Genericised preview using a fictional brand and dummy figures. Your deck is built from your live data.

It does not wait to be asked

The work happens whether or not you log in.

Most AI waits for you to ask the right question. This one already knows what to look for — and three things happen without anyone requesting them.

Every Tuesday Your week, already read

Before you have opened anything, it has been through your numbers and picked the one thing worth doing about them.

Every month The operating review, built

Nine slides, every figure pulled live from your own data, finished before anybody asks for it.

Continuously Its own track record, kept

It writes down what it predicted and scores itself when the outcome lands. You never have to remember what it told you in March.

Every Tuesday

The read you would pay an advisor for, before your first meeting

Every Tuesday it runs your week through the same checks a good analyst would, and writes you the summary they would write. Charts where a chart makes it faster to see, and underneath every one, the sentence that says what to do about it. That sentence is the part you are paying for.

Revenue, and the SKUs actually moving it

What changed, by how much, and which products caused it.

Listing health, and anything gone dark

Suppressed listings and lost buy boxes, before they cost you a week.

Spend against what it actually returned

Every channel on the same basis, measured from settlements rather than clicks.

Tuesday 25 August · Issue 34

Your week: revenue up, margin worth a look

Net revenue$1,264,880

Blended MER3.42x

Repeat rate31.8%

New customers4,182

Worth your attention. Margin is down 4.1 points on a mix shift toward the two-pack. Raising its price by $1.40 restores June margin without touching volume assumptions.

Illustrative figures.

Pricing

One price. Then ten dollars a head.

Every connector, all 490+ analyses, unlimited questions and permanent brand memory, from the first day. No modules to unlock. No upsell in month three. Bring the whole team for the price of one lunch.

$999/ month

Everything Synthesis does, for your whole brand.

All 490+ analyses for forecasting, decks and reports
Every connector — Amazon, Shopify, Meta, NetSuite, Walmart and more
Unlimited questions, weekly briefs and permanent brand memory
Isolated and encrypted in Google BigQuery. Never sold, shared, or used to train AI
Runs in the AI you already pay for, so you own the reasoning
We connect it with you — on a call, and that call is where we learn your business

Book a demo

+$10 / month per additional user

What operators do instead — at market rates

Hire a data analyst$8–12k / moanswers in two weeks

Build it in house6 months + a hirethen someone keeps it alive

Ask your agencyincludedgraded by the people being graded

Buy another dashboard$500–2k / moa fourth number that disagrees

Synthesis$999 / moanswers in seconds, live tomorrow

One dead product found pays for the year. One fee increase caught pays for the year. One ad set cut at day seven instead of seventy-four pays for the year.

You have been guessing for years. Ask it tomorrow.

Connect today. Have the answer before your first meeting.