AverQel connects Google Drive, Gmail, Calendar, Notion, Slack, web search, web fetch, crawling, and your team knowledge into one live DeepSpace runtime. It turns user requests into useful answers, notes, diagrams, and approval-gated actions with cloud-or-local model routing while keeping every action tenant-isolated, audited, and under your authority.
Connected Sources
AverQel connects to the tools you use every day. Whether it is a GitHub repo, a Notion workspace, a Gmail inbox, or a local PDF, the platform automatically parses, syncs, and indexes everything inside your private account.
GitHub
Repo | Commits | Issues
Google Drive
Docs | Sheets | Folders
Notion
Pages | Databases
Slack
Channels | History
Web Crawler
High-speed URL indexing
Standard and scanned
DOCX
Microsoft Word
Gmail
Threads | Attachments
Intelligent OCR | Crawler | Scanned documents, images, live websites, and connector sources are automatically indexed through high-fidelity extraction pipelines.
Queued
Upload accepted | job created | worker dispatch
Download
Object storage fetch | connector payload hydrate
Parse
Extractor route | OCR | language detect | coverage score
Chunk
Structured blocks | overlap windows | sanitized chunks
Embed
Batch vectors | provider metadata | chunk embeddings
Index
Chunk records | embeddings stored | query-ready state
How It Works
AverQel is not a file bucket or a generic chatbot. It is a structured production pipeline that turns your workspace into live, retrievable, and actionable context with explicit approvals and tenant-scoped execution.
Bring your production sources into AverQel. Connect Google Drive folders, Gmail inboxes, Google Calendar, Notion, Slack, web search, and web crawling into one tenant-scoped runtime.
GitHub | Drive | Gmail | Calendar | Notion | Slack
Web crawler, web search, fetch, and connected documents
Automated synchronization with live health and audit trails
Every source is parsed, split into retrievable chunks, converted to semantic embeddings, and indexed automatically. You can monitor real-time status for every item: connected, syncing, parsing, chunking, embedding, indexed.
Parse | chunk | embed | index | every stage visible
Semantic embeddings via local or cloud providers
Quarantine and retry paths for problematic or low-quality data
DeepSpace is the live control surface. It streams plans, tool calls, tool deltas, approvals, and answer tokens while using the right tools for the job. Read-only actions run automatically; writes and side effects wait for your approval.
Plan | act | recover | cite | audit from the same conversation
Confidence and source evidence stay visible with every turn
Streaming SSE events keep the UI in sync with every step
Organize documents into collections and share them through invitation and approval workflows. You choose exactly which documents to include, and owners keep control of what is visible.
Invite by collection code, approve or deny requests
Selective document inclusion, never forced global sharing
Owner and shared roles with distinct permissions
Current Production Surfaces
AverQel is no longer only a single chat interface. It now spans grounded query, the DeepSpace chat, editor and deliverable workflows, persistent memory, connectors, and provider control across cloud and local runtimes.
Command Surface
Start with grounded answers, broad planning, citations, and live workspace-aware questioning before escalating into heavier DeepSpace execution.
Execution Surface
Use DeepSpace as a focused productivity chat for research, drafting, analysis, memory, and safe tool-assisted work.
Workspace Surface
Move from chat into a real working surface with split layout, drafts, exports, and note-driven execution support.
Runtime Surface
Attach live external systems and choose the runtime stack behind the work, from cloud providers to local models and web tooling.
Runtime Commitments
Live from the current build
The homepage points users toward the actual shipped surfaces: grounded query, DeepSpace, the workspace editor, memory, connectors, provider control, and the security model that keeps them isolated.
Read the current product docsReal Product Proof
This section is intentionally structured for actual shipped-product screenshots. The frames are ready now, and each panel is labeled with the exact kind of proof image that should replace the placeholder when you add your PNGs.
Screenshot Slot
Drop your real product screenshot here later to replace this proof panel.
/public/landing-proof/deepspace-runtime.pngUse this slot for a real DeepSpace conversation screenshot showing grounded answers, notes, memory, and safe approval prompts.
Screenshot Slot
Drop your real product screenshot here later to replace this proof panel.
/public/landing-proof/workspace-editor.pngUse this slot for the real editor or split-workspace view showing notes, drafts, exports, and the output side of agentic execution.
Platform Features
Ingestion, grounded querying, visible DeepSpace execution, operator diagnostics, workspace delivery, connector automation, enterprise security, and provider flexibility work together as one cohesive agentic operating environment.
Every ingestion source flows through a real-time monitored pipeline. AverQel keeps parsing, chunking, embedding, indexing, retries, and source health visible instead of hiding ingestion behind a simple success badge.
DeepSpace is the durable runtime brain of AverQel. Every new chat can plan, reason, stream tool calls, checkpoint progress, survive restarts, enforce approvals, verify results, repair failures, and execute complex instructions across your live workspace and connector graph.
AverQel includes a real working surface for notes, drafts, exports, equations, and markdown import so conversations can turn into usable output.
Unify your knowledge across the tools you already use. AverQel turns live connectors into a searchable, actionable, and approval-aware intelligence layer.
Connect cloud providers or local runtimes without exposing secret values. Each provider belongs to the user who added it and can be selected for chat or research.
Establish secure 1:1 or group connections. All texts, files, and reactions are encrypted client-side using PBKDF2 key derivation and AES-GCM 256-bit cryptography before leaving your browser. The server has zero access.
Security & Trust
AverQel treats privacy, durability, and control as one runtime contract. DeepSpace keeps authoritative execution state in PostgreSQL, uses Redis only for live projections, and carries tenant isolation, encrypted secrets, workspace policy, approvals, and audit redaction through the execution path.
DeepSpace stores conversation messages and memory in PostgreSQL. Transient service state cannot authorize or replace tenant-scoped records.
Provider secrets and connector OAuth credentials remain encrypted, masked in responses, and protected by the existing provider and connector security boundaries.
Tenant and user ownership is carried through runs, nodes, events, approvals, checkpoints, leases, and tool records. Workspace policy and approval gates remain part of execution.
Persisted assistant messages let authorized users recover the visible thread after a browser or API interruption.
Built With
No experimental frameworks. Every component in the stack is well-documented, battle-tested, and actively maintained.
Stop stitching together disconnected tools manually. Connect your workspace, ask questions, create notes and diagrams, approve sensitive actions when needed, and turn results into durable work backed by real evidence and production safety boundaries.