Frontier Reasoning & Living Synthesis

The High-Velocity AI Workstation for Living Documents & Deep Research

Transform static RAG into living, bi-directional synthesis. Dissect papers, execute deep reasoning, review visual diff patches, and synchronize directly with your cloud workspace.

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Native Context Window
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First-Token Latency
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Context Cache Savings
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Data Sovereignty & Isolation

Interactive Research & Living Synthesis Studio

Experience our 3-pane agentic synthesis workstation with real-time visual diff patching and multi-hop reasoning verification.

VeloCanvas Studio — Synthesis_Session_2026
Live Active Cache
Research Sources
  • quantum_paper.pdf
  • benchmark_notes.md
  • reasoning_dag.json
Executive_Synthesis.md
Quantum_Benchmark.md
reasoning_dag.json

### 3. Empirical Latency & Token Optimization

- Traditional RAG pipelines suffer from context dilution and multi-second retrieval latency. + Dynamic Context Caching maintains 1.0M tokens active with sub-300ms time-to-first-token synthesis.

Empirical Synthesis: Sub-300ms First-Token • 90% Context Cache Savings Verified

Co-Researcher AI
Researcher:
Synthesize section 3 with mathematical rigour from the indexed arXiv paper.
Thinking (1.4k tok • 280ms)
• Queried 14 vector chunks across HNSW index
• Verified mathematical formulation
Derived closed-form loss formulation based on theorem 4 [1, p.14]. Patch proposed to editor.

Built for Serious Research & Synthesis

Four foundational pillars engineered for speed, cognitive depth, and complete data sovereignty.

01

Living Document Studio

AI reads your document structure, suggests pinpoint revisions, presents visual patch diffs, and syncs seamlessly back to your cloud workspace.

  • 2-Step Agentic Patching Engine
  • Seamless Multi-Folder 2-Way Cloud Sync
  • KaTeX Math & Mermaid Lightbox Render
02

Interactive Research Minimap

Navigate dozens of deep conversational turns with an ultra-responsive minimap. Zero DOM lag, precision waypoint snapping, and instant context recall.

  • Sacred Timeline Scrollbar Minimap
  • Turn-by-Turn Waypoint Navigation
  • Zero-Jitter Scroll Acceleration
03

Multi-Modal Document RAG

Ingest PDFs, complex spreadsheets, Word docs, and audio recordings with hybrid vector search combining HNSW cosine similarity and BM25.

  • HNSW Vector (3,072-dim) + BM25 GIN Search
  • Studio-Grade Dual-Host Neural Audio Podcasting
  • Isolated Per-Collection Data Storage
04

Isolated Sandbox & Parameter Tuning

System instructions and hyperparameters are strictly frozen per session with zero global state leakage and complete control over thinking levels.

  • All-in-One Master Tuning Presets
  • Cloud Python Sandbox (gVisor Containers)
  • Categorical Thinking Levels (Minimal – High)

All Features Unlocked. Scaled Solely by Storage.

Every plan includes complete access to AI multi-model reasoning, dynamic caching, living document diff, and cloud sync.

Starter Free
$0 / forever

For individual researchers exploring deep living synthesis.

  • 250 MB Dedicated Server Storage
  • Full AI Synthesis & Multi-Cloud Sync
  • 1:1 Direct Token Metering (Zero Markup)
  • Standard Community Support
Request Workspace Access
Coming Soon
Team Lab
$19 / month

For research groups, university labs, and collaborative synthesis teams.

  • Everything in Pro Researcher, plus:
  • 50 GB Storage (1 GB File Limit)
  • Multi-Seat Shared Workspaces
  • Centralized Team Billing & Seats

Connect With The Team

Have questions about enterprise deployment, academic licensing, data sovereignty, or API integration? Send us a message.

Enterprise & Research Inquiries

Direct access to our core systems engineering team. We assist research institutions, labs, and enterprises with custom vector pipelines, self-hosted deployments, and tailored SLA agreements.

< 24-Hour SLA Direct engineer-to-researcher response turnaround.
100% Data Sovereignty Zero model training on user payloads. Strict isolation.
VELO CANVAS TEKNOLOGI Registered entity in Sragen, Central Java, Indonesia.
Direct Inquiries General: contact@velocanvas.com Founder: founder@velocanvas.com