Use cases

Who Sery is built for

Three scenarios — each with its own mock of what Sery looks like in that life. Pick the one that sounds like you.

~/code · zsh
~ $ sery search customer_id
3 sources · 4 matches · 280 ms
s3://analytics/users.parquet
column: customer_id · BIGINT · 4.2M rows
sftp://hetzner-archive/dump.csv
column: customer_id · VARCHAR · 12,481 rows
drive://Receipts/clients.xlsx
column: customer_id · STRING · Sheet 1 · 234 rows
b2://backups/q3-2025.parquet
column: cust_id · BIGINT · 1.1M rows
Files never left their storage. SQL ran where the bytes already lived.
The developer

Data scattered across S3, SFTP, Drive, and B2 finally lives in one app

Free forever (unlimited sources, fully offline) · $19/mo for AI chat across all sources

Scenario

A backend engineer at a Series B SaaS. Daily-driver MacBook. Company S3 bucket for analytics dumps. Personal Backblaze B2 for off-site backup. A side-project SFTP archive on a Hetzner box. A Google Drive folder of receipts. They reach for four different tools every day.

Challenge

The AWS Console is slow and per-bucket. Cloud-storage browsers show file lists but can't preview a Parquet without downloading 1.4GB. Drive web is fine for documents, useless for tabular data. No single tool searches across all of them, let alone runs SQL on remote bytes.

Solution

Install Sery Link — your private data agent on the desktop. Connect every storage in five minutes, credentials in the OS keychain, never on Sery's servers. Click any Parquet on S3 → schema and sample rows render in 2s by reading only the Parquet footer over the wire. Search 'customer_id' → hits across S3 + SFTP + Drive simultaneously.

Result

Four tabs of cloud-storage UIs replaced with one app. Preview without downloading. Run SQL on remote bytes. Files never leave the storage they live in.

app.sery.ai · Network
You — Sunday 21:14

find my 2024 accountant letter — should be a PDF or DOCX

MacBook · work
8,402
Desktop · home
12,109
Synology · NAS
847,233
workspace · 867,744 files
Sery — found 1 match across 3 machines

accountant_2024.pdf

On Synology NAS · /backups/Tax/2024 · last opened Jan 8

The power user

Scattered files across machines finally talk to each other

Free covers each machine's agent · $19/mo unlocks AI + cross-machine

Scenario

A senior designer at a Series B startup. MacBook for work, Windows desktop at home, Synology NAS for photos and backups. Every Sunday night they're hunting across three machines for something they wrote three months ago.

Challenge

OS-level file search only sees one machine. Sync-style cloud storage wants to upload everything. They long ago abandoned tools that put tax documents on someone else's server.

Solution

Install Sery Link on each machine — same agent features as the developer scenario, plus pair the machines with one workspace key. Ask questions from any device at app.sery.ai/chat: 'find my 2024 accountant letter' or 'how much did I spend on flights last year?' Answers assemble across every machine AND every connected source.

Result

Files never move. The machines they already owned finally act like one system — one search bar, one answer assembled across all of them. Cross-machine search is the natural upgrade from gateway adoption.

Workspace admin · Mason & Co · CPA
Workspace status
All client data is on the partners' machines. Nothing in any cloud.
0 KB uploaded
Connected machines
Sarah Mason · MacBook
12,802 files
James Wu · ThinkPad
8,447 files
Priya Patel · iMac
4,109 files
Office · file server
44,920 files
Recent activity
14:22Jamesqueriedclients_q3.csv
14:08Sarahran recipe"missing-q3-data"
13:51Priyaindexedacme-receipts/
13:40Officeindexed2024-tax-returns/
The small firm owner

A 3-person practice shares a brain without sharing a drive

Plus today (5 invited machines on one bill) · Team tier when validated

Scenario

A partner at a small CPA firm. Two juniors work from home and the office interchangeably. Clients email sensitive exports. Tax season means quarterly panic to reconcile client data spread across three laptops plus the office file server.

Challenge

Dropbox Business sees every file but can't answer questions. Building a shared database is a year of work they won't do. Clients will absolutely not tolerate their financials going anywhere near a third-party cloud AI.

Solution

Install Sery on every partner's machine and the office server. Workspace-level recipes for common client questions ('which clients haven't sent Q3 data?'). Partner dashboard shows which machines are connected, who's online, who queried what, when.

Result

Client-specific answers without a single file leaving anyone's laptop. Audit log shows exactly who queried what, when.

Where this goes next

Vertical SaaS companies that embed Sery instead of building their own AI layer

Once Sery is deployed across enough verticals, the SaaS vendors those customers use — specialty CRMs, discovery platforms, compliance tools — start asking: can we embed Sery in our product so our customers get the AI layer without us having to build 18 months of infrastructure? That's the platform tier.

Embed SDK + public API arrive in 2029. Partner program details on the contact page for early-interest conversations.

Start where you are

Free forever — unlimited connected sources, unlimited machines, fully offline. $19/month adds AI chat across every source — 7-day trial, no card.