Enterprise AI over every employee’s work.
Nothing leaves the laptop.
Smara — Sanskrit for “memory” — builds a private knowledge graph on each employee’s laptop and answers questions across their mail, calendar and files, locally. Zero variable inference cost, no data egress, and the right model for every task on hardware your team already owns.
Smara connects each employee’s mail, calendar & files — and indexes everything on-device.
Gmail 
Google Calendar 
Outlook 
Outlook Calendar 
Google Drive Coming soon More sources & deeper integrations on the roadmap
Every employee's work, connected — without the cloud.
Smara reads across each person's mail, calendar and files and surfaces what matters — entirely on their machine, before they go looking for it.
Wake up to what actually matters
Every employee starts the day on signal, not noise. The Today tab opens with a Pinned insight the local model surfaced, then ranks the last 24 hours of mail by importance — learning from a single 👍 or 👎. All on the laptop.
- Local LLM ranks each inbox, so newsletters never crowd out a real ask
- Thumbs-down a sender once and the noise stays gone
- Events, mail and tasks woven into one time-ordered feed
Ask across everything. Answered on-device.
“Who is this customer, what project, when did we last meet, and which doc did they send?” Smara answers from mail, calendar and Drive at once — in plain language, with citations — and never sends a word to the cloud.
- Cross-source answers no single app can give — mail + calendar + files
- Every answer traceable to the message, event or document behind it
- Runs locally — airplane-mode proof, zero data egress
Zoom in on one thread at a time
Open any email and the Ask bar narrows to just that thread — a tinted scope chip makes it unmistakable. Ask follow-ups about this conversation alone, then drop scope to go wide again.
- Per-item scope, shown right in the composer
- AI TLDR and an explicit “asks of you” checklist
- Graph-resolved links to everywhere it's mentioned
You control what it sees
Connect Gmail, Outlook and Drive with read-only access, pick how far back each one syncs, and toggle any source off anytime. One button erases the entire knowledge graph — no servers to ask, nothing left behind. Central policy push and fleet controls are on the enterprise roadmap.
- Read-only OAuth scopes — Smara never writes back
- Per-source on/off and adjustable sync window
- Erase the whole graph locally, instantly
Your data never leaves the laptop.
Smara isn't private because we promise it. It's private because there's nowhere else for your data to go. No account. No server. No telemetry.
100% on-device AI
Indexing and inference run locally on Apple Silicon via MLX. Internal comms never touch a third-party model API — the clean answer when legal and security review for GDPR, HIPAA or SOC 2.
Bodies are never stored
Email, note and document bodies are read on demand into memory only — never written to the graph, never logged, never embedded.
Read-only, by default
Mail, calendar and files are pulled with least-privilege, read-only OAuth scopes and indexed into a local SQLite graph. Smara physically cannot write back to your accounts — even by accident.
A graph per employee
No shared server, no central index, no cloud backup. Each person's knowledge graph lives in one folder on one laptop — the smallest possible attack surface.
Yours to erase
One action permanently deletes every node on the device — no vendor to ask, nothing retained. Policy-controlled backup, export and retention are on the enterprise roadmap.
Structurally cloud. Or structurally local.
Copilot and Glean are cloud-native — your internal data and every query leave the building. Smara is the only enterprise knowledge layer where the model runs on the device and nothing leaves it.
| Microsoft Copilot | Glean | SMARA | |
|---|---|---|---|
| Where the model runs | Cloud (Azure OpenAI) | Cloud (Glean servers) | On-device Apple Silicon |
| Where your data lives | Microsoft cloud (M365) | Glean cloud (your index, hosted) | On the laptop. No data egress. |
| Inference cost | Per-seat + metered usage | Per-seat + usage | Fixed per-seat. Zero variable cost. |
| Knowledge graph | M365 Graph (cloud) | Enterprise graph (cloud) | Per-employee graph, on-device |
| Model orchestration | Microsoft-managed | Vendor-managed | Right model per task & machine |
| Compliance posture | Internal data in cloud | Internal data in cloud | Nothing leaves the device |
Incumbents are structurally cloud. They can't credibly say “nothing leaves the device.” Smara is structurally local — that's the whole architecture.
Your inference cost is already paid.
A fixed per-seat annual license — no usage metering. Inference runs on the laptops your team already owns, so AI is a capex you’ve paid once, not a cloud bill that grows with every query.
- Unlimited local AI queries — COGS doesn’t scale with usage
- MacBook supported today — Windows support coming soon
- Per-employee, on-device knowledge graph
- Cross-source over Gmail, Google Calendar, Outlook & Drive
- Central policy, SSO & fleet admin on the roadmap
- Every employee querying all day is a metered line item
- Cost scales up and to the right with adoption
- Internal comms leave the building to a third-party API
- Self-hosting an LLM means new GPU capex + ops
Give your fleet private AI.
A private, on-device knowledge layer for every employee — fixed cost, zero data egress, and the model running where the data already lives.
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