Private business memory your AI can use

Spreadsheets did this for numbers.
CorpusWire does it for your documents.

Makes them legible.
Makes them queryable.
Makes them compound.

Your documents are the richest data your business produces — and they've never been usable as data. Until now.

Every AI session still starts from zero. You re-explain the business, re-upload the files, re-state the context.

Built in use

The operating system MoreResults built to run our own business. Dogfooded since 2025. Now available to yours.

Your stack. Your data. No lock-in.
30-min call · no prep · plain answers
Capabilities

Five components.
One operating layer.

How it works

Three steps to documents that compound.

Step 01

Hand over what you already produce.

Briefs, SOPs, project notes, decisions, client correspondence. No new work, no new tools. The documents your business already generates are the input.

Step 02

They become a connected intelligence layer.

Indexed, queryable, on your stack. The whole record of how your business actually works — finally legible to the AI tools you already use every day.

Step 03

Compounding starts.

Every AI conversation pulls from it. Every new project adds to it. The next hire onboards from a living system instead of from your calendar.

Why it matters

What changes when your documents start working for you.

CorpusWire doesn't create new work. It captures the value of the work that was going to happen anyway.

01

Every project makes the next one easier.

Past decisions, past lessons, past client work — pulled into context automatically. Your AI gets sharper every week. Not because the model changed, but because your context did.

02

Your SOPs stay current.

Generated from real work, kept current as the work changes, available to anyone the moment they need it. No more documents describing how you used to operate.

03

Institutional knowledge stops walking out.

Every project closes with its lessons captured. Every key decision is retrievable months later. When someone leaves, what they knew stays.

04

You stop being the bottleneck.

New hires onboard from a working system instead of from your calendar. Junior team members produce senior-quality work because the context is in the room with them.

05

The AI tools you already use stop giving generic answers.

Claude, ChatGPT, whatever your team uses. No new interface to learn. The difference is the answers come from your business, not the internet.

In practice

What this looks like in practice.

We built CorpusWire to run MoreResults before we made it available to anyone else. Here's one piece of recent work, with the Brain in the loop.

Case · MOR-904 · GCSE maths taxonomy

A senior team member was authoring a new taxonomy for an ed tech maths learning app — three hours of careful, well-scoped work. QA caught a critical gap that would have shipped, because the Brain surfaced a lesson learned three months earlier on a different project that turned out to apply directly.

trace · lesson retrieved mid-project
Found
A gap in reasoning steps that would have failed downstream QA at the lesson-plan stage.
Source
A lesson learned three months earlier on MOR-714 — 'Reasoning steps in taxonomies'. Failure mode: taxonomies omitting explicit reasoning steps produce surface-level lesson-plan questions only.
Delivered
Inside the same chat, at the moment it was needed.

That's the work we'd otherwise have shipped with a hole in it. This happens every week.

MoreResults · dogfooded since 2025
Compare

Three alternatives. One real answer.

∅
Alternative · 01

The status quo — no intelligence layer at all.

Folders, scattered drives, AI tools used in isolation. You generate knowledge continuously. Almost none of it accumulates. Every session starts from zero.

TodayCheapestOver timeMost expensive
☁
Alternative · 02

Vendor-owned intelligence layers.

They own the index, the retrieval, the upgrade path, and increasingly the pricing. Your most valuable institutional asset becomes a hosted feature on someone else's roadmap.

Day oneConvenientDay you leaveIt stays with them
⚒
Alternative · 03

DIY engineering build.

You can absolutely build this. You'll also be building it instead of running your business — and maintaining it, and rebuilding it next year when the libraries shift.

CapabilityAchievableCostThe thing you're not running
●
CorpusWire

Single-tenant, implemented on your stack.

Your database. Your file store. Your domain. Your data. MoreResults builds the system for you and maintains it — it's been on your stack the whole time.

The day you stop working with us, you have a working system, not a logout button.

Where it lives
Your infrastructure.
Who maintains it
We do.
Who owns it
You do.
Lock-in
Structural — none.
Objections

Common questions.

Yes — fit is anchored to document volume and AI usage, not headcount. If you're regularly producing briefs, SOPs, and client correspondence, and your team already uses AI tools daily, the maths works. Five-to-twenty-five-person knowledge-work businesses are the sweet spot for this.

End-to-end implementation typically runs 4–6 weeks before steady-state maintenance. The index itself builds in days; most of that elapsed time is mapping how your business actually runs, not technical install. The bulk of the work is understanding your operation, not installing software.

There's no sticker price. Every implementation is bespoke — scoped to fit the individual business rather than sold as a fixed package. Because the right scope depends on how your business works, we'll only know what genuinely fits you after a discovery call, not before it.

Everything runs single-tenant on your own infrastructure — your database, your functions, your file store. We never hold your data on our servers, so your sensitive documents never leave your environment. Authentication and access controls are entirely yours to configure. You keep full custody throughout.

The engagement runs in phases — scope, install, populate, integrate, train, then maintenance — so you see compounding value before implementation completes. If any phase isn't delivering, we course-correct or stop. Because value arrives phase by phase, you're never betting everything on a single finish line.

No. The system lives on your stack and the documentation is yours, so you can take it in-house, hand it to another implementer, or run it entirely yourself. That's the whole point of single-tenant: you own the layer, and you're free to leave whenever you choose.

Spreadsheets did this for numbers.
Let's do it for your documents.

Book a discovery call →
30-minute call.  No prep needed.  If we're not the right fit, we'll tell you on the call.