Proven in production — not promises

We don't just connect your data.
We build the agent that knows your company.

Every company's real knowledge is scattered across tickets, code, email, chat, meetings and people's heads. LStairs gathers it into one living memory — and puts an AI agent on top of it that can know your company better than any single expert inside it.

  • Already in production
  • Self-hosted — your data stays yours
  • Not locked to any AI vendor
790K+ knowledge fragments searchable by meaning
800K+ emails ingested and deduplicated
500K+ messages of real work captured
16K+ code changes linked to their “why”

The moment of truth

One short request.
Minutes instead of hours.

Someone asks the AI agent: “bring up the test server.” Without company memory, that's a scavenger hunt across accounts, records and “who remembers the password?”. With memory, the whole chain is already inside the system.

  1. 1

    Found

    the right account, machine and network records — in company memory, not in someone's head.

  2. 2

    Fixed

    started the server and noticed its address had changed after the restart.

  3. 3

    Updated

    corrected the records, verified every service was back and reachable.

  4. 4

    Learned

    wrote the lesson back into memory — so next time is even faster.

This is not a demo script. This is production memory that already works — as if every employee had an experienced assistant, and all the assistants shared one brain.

The cost of inaction

Every month without unified memory
isn't “status quo”. It's a quiet leak.

What you're losing now

Senior hours burned on “who knows this?”. Onboarding from zero. AI tools that don't know your history. Decisions already made — and forgotten. Context that walks out the door when a key person leaves.

Every month of waiting grows this bill.

What you gain by starting

Import years of history and see a business picture in weeks — one no single tool holds. Then every working day strengthens the asset. AI and people rely on the same facts. Experience stays in the company.

Ownership of knowledge — instead of hoping “we'll document it somehow”.

What we build

One memory. Every source.
Served to people and to AI agents.

We're not selling a chat or a wiki. We're selling a vessel: memory infrastructure. It fills itself from the systems your teams already use — and becomes an asset no vendor can sell you, because it's made of your own experience, decisions and processes.

01

Collect — automatically

Issue trackers, code repositories, email, team chat, meeting recordings, AI work sessions, documents — pulled in on a schedule, no manual import, no “please update the wiki”.

02

Understand, not just store

The platform links tasks, people, code, discussions and decisions into one graph — and distills them into higher-level knowledge: rules, conclusions, trends.

03

Ask anything, from anywhere

People search by meaning or keyword in one window. AI agents tap the same memory natively, mid-task, through an open standard — before they answer, they read; they don't invent.

04

Compound over time

Every ticket closed, commit made and meeting held makes the memory smarter — and agents write their own lessons back. The longer it runs, the harder it is to live without.

Why we're different

Most tools search your documents.
We build institutional memory for agents.

What companies tryWhere it falls shortLStairs
General AI chat Doesn't know your history, decisions or code Memory built from your real work
Wiki / documentation Goes stale — nobody updates it Updates itself, continuously
A folder of documents No links between task, code and decision A connected knowledge graph
Enterprise search SaaS Your knowledge on someone else's servers Self-hosted — your asset, your moat

The brain that hands plug into

Most AI products sell “hands without a brain” — smart chat with no history. We sell the brain: agents and automations read it, act, and put what they learned back. Action without losing experience.

Models change — memory stays

AI models turn over every few months. Your knowledge, decisions and conclusions live in your vessel; models plug in as swappable lenses. If a vendor disappears, your memory doesn't.

Not just “what exists” — “how it changed”

Memory is layered by day, week, month, quarter. “What changed this spring?” gets a narrative grounded in facts — for leadership, for agents, even for due diligence.

Code as knowledge, not just files

The codebase itself is indexed as memory — what it does and why it's this way. An engineer and an AI agent onboard from the same product map. You can't buy that by installing a chatbot.

People and agents share one brain

The same memory answers a new hire's question and powers an agent's next action. No parallel silos, no stale copies — one source of truth for humans and machines alike.

Your data stays yours

Run it in our cloud, your cloud, or a fully offline perimeter with local AI models. For companies whose knowledge is the business, that isn't a feature — it's the deciding factor.

Who benefits

Value on day one — for every seat in the company.

New hire

Reads “how we do things here”, sees decision history, ramps in days.

Weeks of onboarding saved

Project lead

Sees open work, load and discussions without polling the team.

Fewer status meetings

Tech lead

“Why did we choose this architecture?” — answered with date, author and context.

Fewer costly rollbacks

Engineer in an incident

Finds past similar failures, fixes and discussions — never starts from zero.

Hours saved per incident

AI assistant at work

Knows your stack, past decisions and constraints before it writes a line.

A multiplier, not a toy

CEO / investor

Auto-reports and history on demand — a data-driven narrative, not a quarterly scramble.

Visibility without spreadsheets

Where we are

Live, working, and just getting started.

In production today

Deployed and running around the clock: ingest on schedule, updates without downtime, memory that doesn't go stale by itself.

Early customers, daily use

Teams already ask it the questions they used to ask their most senior people — and get answers grounded in their own history.

From idea to production in a year

Foundation, enterprise-grade storage, automation, live email and meetings — shipped at high velocity by a compact team.

Honestly: quality on the hardest search queries is the team's current focus. The architecture is ready; the polish is measured by benchmarks, not gut feel. We'd rather show you that than hide it.

The vision

In five years, a company without an organizational memory will look like a company without a database today.

No single cloud knows everything about your company — each vendor holds one fragment and shares nothing. The full picture exists only in your people's heads, until it leaves with them. We're building the layer that captures it, compounds it, and hands it to every person and every agent — one step at a time.

For investors

We're early. That's the point.

A working product, real users, a market that every AI adoption curve points straight at — and a team that has already built what others are still pitching. If you invest in the infrastructure of the AI era, we should talk.

SeeA live system demo — 30–40 minutes of facts, not slides.
TryA pilot: import your history, first value in weeks.
OwnSelf-hosted, in your perimeter. Memory grows — the asset locks in.
invest@lstairs.com

We reply personally, usually within a day.