A calmer way to think with everything you know.
Aleshi Atlas indexes your files, extracts meaning, builds relationships, and answers from the pieces that actually matter.
Atlas workspace
Founder Research OS
ZIP depth 1, ratio OK
12 semantic chunks
Metadata extraction
Ask Atlas
“Which docs explain the billing flow and what code paths touch it?”
Core features
Built around your knowledge, not a prompt box.
Private file ingestion
Upload PDFs, DOCX, text, Markdown, ZIPs, images, repositories, CSV, and JSON into one indexed workspace.
Hybrid search
Move between keyword search, semantic retrieval, AI answers, related files, and smart suggestions.
Knowledge graph
Atlas turns scattered source code, docs, notes, and assets into visible relationships.
Private by design
Workspace boundaries, storage governance, and operational visibility are built into the product experience.
How it works
A retrieval pipeline that stays economical.
01
Upload files or a chunked archive
02
Extract text and metadata in workers
03
Chunk content and create embeddings
04
Retrieve only relevant context
05
Answer through a resilient AI layer
AI architecture
Provider failover without sending the whole library.
Atlas retrieves the best chunks first, shapes a compact answer context, and routes work through the available AI layer without exposing model details to the public interface.
Context retrieval
Finds the most relevant pieces before any answer is drafted
Answer planning
Builds a compact prompt around the user's actual question
Reliability routing
Moves work through available AI capacity without exposing provider details
Source grounding
Keeps responses connected to the files and collections that informed them
Usage discipline
Limits unnecessary context so the system stays fast and economical
Project
Linked context
Source Code
Linked context
Documentation
Linked context
Images
Linked context
Notes
Linked context
CSV
Linked context
Knowledge graph
Files become relationships you can navigate.
Projects connect to source code, documentation, images, and notes. Related-file discovery uses metadata, chunk similarity, and graph edges instead of folder names alone.
Pricing
Storage plans that can expand cleanly.
Free
A precise personal workspace.
Included storage
512 MB
- Secure uploads
- Indexing queue
- Semantic search preview
- AI answers
Premium
PopularFor serious private knowledge bases.
Included storage
10 GB
- Priority processing
- Knowledge graph
- Advanced RAG
- Receipts
Pro
For founders and teams.
Included storage
50 GB
- Higher throughput
- Team-ready collections
- Billing controls
- Priority support
Trust
Quiet controls for serious work.
Private workspaces
Your files, extracted text, and answers stay scoped to your authenticated Atlas account.
Controlled ingestion
Uploads are processed in the background with plan-aware capacity and careful file handling.
Billing clarity
Storage tiers, subscription state, invoices, and account changes stay visible in one place.
Operational trace
Important account, upload, billing, and AI activity can be reviewed when support or compliance requires it.
FAQ
The short version.
What is Aleshi Atlas?
Aleshi Atlas is a private workspace where you upload your files and instantly search them, see how they connect, and get answers grounded in your own documents.
What can I upload?
PDFs, Word documents, text and Markdown, spreadsheets, images, and ZIP archives. Everything is organized into collections you can search and ask questions about.
Is my data private?
Yes. Your files, extracted text, and answers stay scoped to your own authenticated account and are never shared with other people.
How do the answers work?
Ask a question and Atlas finds the most relevant parts of your files first, then gives you a clear answer that stays tied to the sources it came from.
How much does it cost?
Start free with 512 MB of storage. Upgrade to Premium or Pro anytime for more storage, faster processing, and priority support.