The data foundation for AI, from zero

Get your business ready for AI. Now, not in three years.

Overscore is the data infrastructure for an ambitious business that wants an edge with AI. Your data comes in, it's kept in one place, the AI learns how your business works, and you get answers and dashboards you can trust. One system instead of six tools and a six-figure project, so you can punch above your weight.

Two minutes to a system that knows your business. No card, nothing to install.
Getting to know the business
OverscoreI read your site: handmade leather bags, sold online and in your own stores. How does the money actually come in?
YouMostly the online store. The two shops are maybe a third. A good month is around eighty grand.
OverscoreGot it. Where do the books live?
YouQuickBooks. Tom ties it to Shopify in a spreadsheet every month.
OverscoreWhich number in that spreadsheet do you trust least?
The businessOnline is most of it; two stores about a thirdA good month is $80k
SystemsShopify holds online salesQuickBooks holds the booksjust landed
PeopleTom does the monthly reconciliation
Customers · not yet
Why now

AI gets cheaper every year. The setup is the slow part.

Every year you get more intelligence per dollar, and the models that cost real money today will cost almost nothing in a few years. What doesn't get cheaper is the time it takes to get your business ready for it.

01

Don't wait for the price

If a task would cost you $100 a month in AI today and you're not sure it's worth it, set it up anyway. Plan on that cost falling hard. What you're buying is the setup, and the setup is what takes time.

02

The kinks take time to work out

Running AI on a real business is new for everyone. It gets things wrong: a number that changed five times in two weeks, a name that means two things. You find those, you note them, it gets better. That takes months, not a weekend.

03

The lead compounds

A business that starts now has a working, tuned AI system by the time it's cheap enough to put everywhere. A business that waits is scrambling to build the foundation while its competitors are already running on it.

One system, not six

Everything your AI needs to know your business, in one place.

Done the usual way, running AI on your own data means a warehouse, a sync tool, a modelling tool, a dashboard tool, a separate store for documents, and a chat tool on top, each with its own idea of what your business is. That's a six-figure project built for companies with a data team to run it. You need the advantage, not the project. Overscore is all of it, built as one thing.

Your data comes in and stays yours

Your store, your books, your database, your spreadsheets, your documents. Overscore brings it all in on its own and keeps it in one place, in your own database, with every version kept.

The AI knows your business

What you tell it and what it learns become facts it keeps: what net revenue means, who owns which number, why March was strange. Every answer, every dashboard and every agent reads those first. Because the memory and the data live together, nothing has to be wired up between them.

Answers and dashboards, safely

Ask in plain words and get the number with the table it came from. Dashboards that update themselves. Agents that work through one door, with everything they do logged. The models never keep your data.

ShopifyStripeQuickBooksPostgresGoogle SheetsExcel and CSVWebhooksClaudeCursorSlack, soonEmail, soon
How it works

It learns the business before it sees the data.

Most tools start with tables. This one starts with you, the way a good consultant would on day one.

01

Talk it through

Ten minutes, out loud or typed. One question at a time about how the business works, who runs what, and which numbers you don't trust. It never asks what it already knows.

02

Connect what you use

Shopify, Stripe and QuickBooks take a pasted key. Your own Postgres links live. Spreadsheets and files drop in. Everything syncs on its own and tells you when something's off, with the fix ready.

03

Ask, and put it to work

Plain words in, a number out, and which table it came from. Dashboards for the team. When a number moves, it asks the person who'd know, and the answer becomes something it remembers.

The first ten minutes

From nothing to an answer before the coffee's cold.

0:00

Say what the business is

Your website is enough. It reads it and sets the warehouse up around what you actually do.

1:00

Check what it found

What you sell, who buys, the systems it can see. Fix anything that's wrong; each line becomes a fact it knows.

2:00

Talk for a few minutes

Watch the context fill in beside the conversation as you go. Stop whenever you like.

8:00

Connect a source, ask a question

Paste a key. The first sync lands while you watch. Ask "which bags actually make money after shipping?"

Pricing

Free until it's real. $99 a month after that.

Two plans, no per-user fees, no markup on AI. The bill grows with the rows you sync and the storage you use, not with the people you add, and you set a maximum we never bill past.

Free$0
  • Every feature, on a shared machine
  • 100,000 rows a month, 2 GB
  • Hourly syncs
  • $5 of AI a month
Start free
Paid$99/month
  • A machine of your own
  • 1,000,000 rows a month, 25 GB, then by the million and the GB
  • Syncs every 5 minutes; the Postgres door for BI tools
  • $10 of AI, then at cost
Start free, upgrade inside

How the bill works, and the option to have us set it up for you →

Your data

It stays in the United States, inside AWS. The model makers never see it.

People ask, so here is exactly what is true today.

  • Every model runs inside Amazon Bedrock in US regions. Nothing leaves AWS, including the open-weight models we use for the cheaper plans.
  • Prompts and answers are not shared with Anthropic, DeepSeek or anyone else, and are never used for training. That is Bedrock's standard term for every model it hosts.
  • Nothing is stored after the answer comes back. Invocation logging is off and retention is set to none.
  • Your warehouse is your own database and your own storage. Every version of every table is kept; dropped means hidden for a week, not gone.
  • Keys fit one dataset at a time, at add-only, read, or read-write, and can mask names and emails. Revoke in one click.
  • The whole picture, including what we have not done yet →

The time to set this up is now.

The next few years are going to move fast. Start with a conversation. Free, no card, nothing to install.