One private, versioned source of truth for everything your company knows — with an AI that reads it, acts on it, and keeps it in order. No dashboards, no SQL, no data team.
Every one of these tools holds a slice of your company’s data in its own proprietary system — where you can’t freely query it, export it cleanly, or walk away without losing it. You don’t own your data; you rent access to it, month after month.
Not all of it. The tools that do something for you — take a payment, send a message, run compute — are real infrastructure and here to stay. But the tools whose only job is to hold your data behind a login and a monthly fee are finished. When an AI can read and edit your own files directly, renting a place to store your information stops making sense.
Real infrastructure that performs an action you can’t easily do yourself — moving money, sending mail, running servers. You’re paying for a service, not for access to your own data.
Systems of record whose whole value was storing your information and renting it back. One local, open store with an AI over it replaces the entire category.
A desktop app with three layers: one private, versioned store for everything your company knows; a conversation-first AI that reads it and acts on it in plain English; and a governance layer so every change is reviewed, permissioned, and reversible.
Docs, spreadsheets, SOPs, and records live in one private, versioned store — not scattered across a dozen tools.
Ask in plain English. Sylas answers from YOUR files and tables — and can make the change back, not just read.
Change requests, permissions, comments, and a full "what changed" trail — reversible by default.
Almost everything in a Sylas workspace is stored as plain, open text on your own device — no proprietary format, nothing to be locked into. You own files you can read, move, or leave with anytime. And "plain text" isn't plain .txt — it's a family of open formats, each fit for a purpose.
How most documents are stored — notes, SOPs, docs. Previewed as beautifully rendered pages, not raw code.
Structured, tabular data — records, lists, spreadsheets — as clean, portable tables anyone can open.
For advanced, structured data and power users — precise and machine-readable, still just plain text.
For genuinely beautiful, richly-designed documents that render as polished, presentation-ready pages.
Open files you can read, move, or leave with anytime. No format to be trapped in — you own your data outright.
Models read plain text natively — so answers are accurate, cheap, and fast. No binary parsing, fewer tokens.
People see rendered Markdown and designed HTML — polished, readable documents, never raw code.
Open formats invite a fair question: if the data is portable, what stops you leaving? By design, nothing stops you taking the raw files — and individual records, audit logs included, have their own exports. But each export is a piece. Everything Sylas builds around them — the context that makes them a company, not a folder — only works assembled inside Sylas, and would have to be rebuilt from scratch anywhere else.
You can take every piece with you. What you can't take is how they work together.
Comments, reviews, and threads anchored to the exact row, line, or cell — the discussion history around every change.
The search index, the resolved glossary and entities, and the knowledge graph of how every doc, record, and person connects.
Playbooks, saved skills, assistant memory, and workspace layout — the team's whole accumulated way of working.
Identity, permissions, change-request and approval history, audit logs — who can do what, and everything that already happened.
The Slack effect. Slack could always export your messages — yet no one leaves, because the channels and the way the team works became the product. Same here: we keep your data free precisely because the lock-in is the value around it, not the data itself.
Finance, marketing, sales, people, ops — today each keeps its own spreadsheets and docs. Sylas puts them all on one canonical store, so the whole company reads and writes the same source of truth.
Spend trackers, vendor tables, budgets — queryable in plain English, versioned like code.
Add, update & clean up leads — dedupe lists, enrich records, and keep campaigns in sync.
Pipelines, accounts, and notes in one place — ask questions, update records, draft follow-ups.
Roster, policies, and onboarding — with permissions so the right people see the right rows.
SOPs, checklists, and process docs that the AI can read, follow, and keep current.
Ask across all of it — one question spanning finance, sales, and ops, answered from one source.
Your company's data and documents are scattered across a dozen subscriptions. Sylas consolidates them into one local, open store — documents as Markdown and richly-designed HTML, lists, records and spreadsheets as CSV tables. Same information, one place, formats you own.
Fewer tools to pay for, fewer places your data can rot.
Manage, enrich, and clean your lead lists — right where the data lives.
Your pipeline, deals, and contacts as records you can query in plain language.
SOPs, notes, and wikis as Markdown and HTML — previewed as polished pages.
Task lists and trackers as tables — ask what's overdue, what's blocked, what's next.
Every sheet becomes a clean CSV table — portable, queryable, no proprietary format.
Headcount, budgets, and trackers as tables anyone on the team can read.
Slack (and how your team talks) stays — Sylas replaces where your company's data and documents live, not where you chat.
LLMs are now good enough to reason over messy, real-world operational data — not just clean benchmarks.
Non-technical operators now expect a chat interface for everything. The behavior is already trained.
Companies don't want their operational data sitting in someone else's cloud by default. Local-first is now a requirement, not a nicety.
Three vendors rose over 15% QoQ — Northwind (+22%), Acme Freight (+18%), and Belmont Print (+16%). I flagged them in the tracker.
An AI that can change company data needs a control plane. Sylas ships one — so teams can trust the AI to act, because nothing lands without review, permission, and a trail.
Edits land as reviewable "what changed" — approve, tweak, or roll back before anything is final.
Server-enforced, down to the row and column — the right people see and change the right data.
Discuss changes in context and get notified — collaboration without leaving the source of truth.
Every action recorded — who did what, when, and why. Full accountability for an AI that acts.
Everything lives in one versioned store on your device. Nothing leaves unless you turn on Cloud backup — and even then, only the context for a single AI request, processed transiently, never stored. Sylas also collects usage statistics tied to your account — which features are used and how, never your content, file names, paths, or prompts — sent only to Sylas-operated servers. Turn this off anytime in Settings → Privacy.
Every change — human or AI — is a versioned checkpoint over real Git. A bad edit is one click to undo, not a lost afternoon and a support ticket. The AI never writes a black box: you see exactly what changed before it lands.
Change requests, server-enforced permissions, and audit logs are built into the store — the governance a company needs to trust an AI that acts, which bolt-on chatbots can't retrofit.
Models come and go — Sylas isn't tied to one. Switch between Claude, GPT, or open and self-hosted models anytime. When a provider ships its own app, its users have to pick a side; yours never do — your data and governance stay put while the model underneath keeps improving.
Tauri + native webview. Conversation-first UI, offline-capable, cross-platform.
Versioned files plus structured, spreadsheet-like tables — real Git and Dolt underneath, with your device as the source of truth.
Identity, permissions, sync, audit, billing — and server-side AI brokering.
Built for teams from day one — shared workspaces, live change requests, per-row comments, @mentions, notifications, and role-based permissions. Your team reviews changes in context and nothing lands until it's approved. And like Git, every member keeps a synced copy — lose a laptop, lose nothing.
This renewal date looks off — @Sofia can you confirm before we sync?
One place to review changes — instead of edits scattered across Slack, email, and five other apps.
"Last month's webinar produced 300 leads and nobody's followed up."
| Name | Company | Status |
|---|---|---|
| Marcus Lee | Brightpath Retail | Not contacted |
| Dana Ortiz | Northwind Logistics | Not contacted |
| Sam Whitfield | Cedar & Co. | Not contacted |
| +108 more | ||
Subject: Thanks for joining — your next step
Hi {{first_name}}, great to have you at last month's session. You asked great questions about rollout — here's the 2-page guide we promised, and a link to grab 20 minutes if it's useful…
"I can't tell which of my open deals have gone quiet."
| Deal | Value | Last contact |
|---|---|---|
| Cedar & Co. | $48k | Quiet 18d |
| Aria Systems | $32k | 3 days ago |
| Northwind Logistics | $71k | Quiet 21d |
| Brightpath Retail | $24k | 5 days ago |
| +6 more | ||
"I need one clear picture of the company before the board call — pulled from finance, HR, and ops."
Recurring revenue grew steadily through the quarter, with the strongest month-over-month gain in the final month. Growth is broad-based, not driven by a single large deal.
Headcount rose from 18 to 23 — four in engineering, one in support. One planned sales hire slipped to next quarter.
"We changed our refund policy and I don't know which SOPs still reference the old one."
Want me to open a Change request with the updated wording?
Cross-platform desktop app shipping with a built-in auto-updater.
Local-first on-device store implemented and running.
Conversation-first AI over real workspace data — reads and acts.
Sylas Cloud backup with a local→cloud mode transition working end-to-end.
Freemium billing wired — Pro at $9/mo via Paddle.
Permissions, audit logging & collaboration primitives in place.
Sylas becomes the default way non-technical teams interact with everything their company knows — memory, automation, and proactive suggestions on top of a private, versioned source of truth.
Start as the operating system for company data. Become the layer every function runs on.