See your next move
for manufacturing R&D
with a graph AI
Snorbe collects the latest news, papers, patents, and government reports and links them with your internal PDFs, Excels, and reports as a knowledge graph.
It automatically detects white space, generates a viewpoint matrix in 30 seconds, and produces a structured report in 10 minutes.
From new business seeds to development risks and IP gaps, everything is visualized—self-hostable so sensitive data stays inside.
Values
Three outcomes Snorbe delivers
Automatic white-space detection
Zero blind spots
A combined graph of public data and internal documents visualizes research density, highlights thin areas, and suggests the next themes, companies, or patents to dig into.
Viewpoint matrix in 30 seconds
Automated reporting
AI proposes viewpoints, extracts materials, methods, cost, regulation, and market use, and exports to CSV/Excel instantly to speed internal sharing and approvals.
Self-host & reuse
Keep confidential data safe
Deploy with Docker inside your environment, control access per workspace, and reuse past research for the next project.
How to Use
Workflow
Drop in a theme and get a report + matrix in 10 minutes
Give Snorbe a research theme and optional hints; it plans, researches, extracts, and visualizes automatically.
Set the theme
Define goals and hints
Autonomous agent
SERP + scraping for fresh sources
Knowledge graph
Normalize papers and proposals into nodes/edges
White-space finder
Highlight thin areas automatically
Viewpoint matrix
Export CSV/Excel in 30 seconds
Structured report
Markdown/PDF in 10 minutes
Self-host
Run via Docker Compose
Workspaces
Share with permissions and history
Navigate the graph, confirm facts, choose next steps
Public sources and internal files live in one knowledge graph and feed the matrix and report at once. Chat to ask follow-ups, re-crawl, and decide with full traceability.
*Currently supported file types
Excel
PowerPoint
SERP + scraping
Fetch latest papers and news
Graph navigation
Traverse related nodes
Viewpoint matrix
Cross viewpoints × sources
Next suggestions
Propose 3 topics from white space
Markdown/PDF report
Show citations with evidence
Reusable templates
Clone past projects
Access control
Workspace-level permissions
Self-host
Deploy with Docker Compose
Internal × public
Match internal PDFs/Excels with external sources
<10 min SLA
Keep report generation fast
CSV/Excel export
Share per-viewpoint data
LLM switch
Choose Claude / GPT / Grok
RAG chat
Ask questions over findings
Automatic updates. Nightly batches catch the latest
Queue an automated run with one click. Get emails when it finishes or finds new white space and review results first thing in the morning.
Request a demo and sample report
Use cases
R&D
- •Auto-generate viewpoint matrices for the latest papers
- •Visualize white space and suggest next experiments
New business
- •Create tech maps and competitive white space in minutes
- •Build evidence-backed reports for investment decisions
Planning & Marketing
- •See untapped market trends on a graph
- •Organize copy and campaign ideas by viewpoint
Plans
Plans
Join the closed alpha or start a self-hosted PoC—pick what fits your team.
Closed alpha (free)
Try the core Snorbe experience and co-build with feedback.
- ✓Automatic white-space detection (targeting 100% per use)
- ✓Viewpoint matrix extraction + CSV/Excel export (within 30s)
- ✓Structured report generation (within 10 min)
- ✓Graph view to visualize coverage
- ✓Dedicated Slack and weekly feedback loop
Self-hosted PoC / Enterprise
For teams needing to handle confidential data internally with onboarding support.
- ✓Guided Docker Compose deployment
- ✓Workspace/RBAC setup and audit-log design
- ✓Custom research templates
- ✓PoC white-space analysis bundled with reports
- ✓Enterprise security review support
Q&A
Frequently asked questions
QCan we ingest internal data as well?
Can we ingest internal data as well?
Yes. Upload internal PDFs/Excels/PowerPoints, combine them with public data (news, papers, patents, government reports), and build a knowledge graph. You can detect white space and create viewpoint matrices that include internal evidence.
QHow accurate is white-space detection?
How accurate is white-space detection?
In the closed alpha we target a 100% discovery rate per run, measuring graph density and viewpoint coverage. Suggestions always include citation links so you can inspect the supporting nodes on the graph.
QWhat self-hosting support do you provide?
What self-hosting support do you provide?
In the PoC/Enterprise plan we help live with Docker Compose setup, env configuration, RDB/pgvector initialization, and access design.
We also provide security checklists and audit-log designs, and customize graph schemas or viewpoint templates as needed.
QWhere is the data stored?
Where is the data stored?
In the cloud version we store data in Supabase PostgreSQL + pgvector with workspace/RBAC isolation. For self-hosting everything stays in your PostgreSQL instance—no external transfer.
Let’s join!
Experience Snorbe in the closed alpha and help build the product together.