Built for patent, publication, and innovation analysts

Turn your patent and literature exports into sourced analysis.

Techmining is a web platform that lets research and competitive-intelligence analysts upload their own patent and scientific-literature datasets and get back AI-generated narrative analytical reports — grounded in the actual records. Upload a patent or publication export and ask questions of it in plain language. The AI reads your actual records and writes back a sourced analysis you can trust, guided by a built-in library of prepared Techmining questions.

Techmining is in early access, open to eligible organizations and invited users. Request access if your team isn't set up yet.

Your data stays yours — stored securely, auto-deleted 30 days after your last use, and removable on request anytime. How we handle your data.

Works with exports from
Lens PatBase Scopus Web of Science Excel

CSV, Excel, JSON, XML, RIS, BibTeX — zipped or not. vantagenAI works out the shape.

How it works
From raw export to finished briefing
AI + Techmining
1. Upload what you already have

Patent exports, literature data, company records, or any structured file. vantagenAI reads the schema and proposes the fields worth analyzing.

2. Confirm the fields that matter

Lock in the abstract, claim, organization, year, and country columns before anything runs. The same fields get the same treatment every time.

3. Run the analysis

Dataset summaries, guided Techmining prompts, or your own questions — for themes, outliers, trend shifts, and whitespace.

4. Take it to the meeting

Export the findings to Word or PDF. Your chat history stays with the dataset, so you can pick the thread back up next week.

Watch a walkthrough

See it work, start to finish

A few minutes from a raw export to a finished, sourced analysis — upload, field selection, asking questions, and export to Word or PDF.

Walkthrough video coming soon

A short guided tour of vantagenAI from upload to finished report.

The discipline behind it

What is Techmining?

Techmining is the practice of applying text mining and analytics to science and technology records such as patents and research publications. It turns a large, unwieldy body of literature into intelligence about a technology: what is emerging, who is active, how a field is maturing, and where the open opportunities lie.

It's a well-established method in competitive technical intelligence and technology foresight, traditionally done with specialist tools and a lot of manual reading. vantagenAI brings that method to your own data and lets the AI do the reading — grounding every answer in your actual records.

What analysts use it for

The recurring jobs in technology intelligence, each with a prepared analysis path behind it.

Prepared lines of inquiry

Curated Techmining question sets for emergence, applications, maturation, and strategic opportunity — so the analysis starts from a method, not a blank box.

Technology landscaping

See which subdomains are crowded, which are still frontier, and what is developing next door to your area of interest.

Who else is working here

Applicants, assignees, research groups, and the collaboration patterns between them, pulled straight from your source data.

Analysis you can point at

Choose the free-text, organization, year, and country fields yourself, instead of hoping the model guesses well.

Ready when your export is

Upload, field selection, guided prompts, summaries, chat, and Word or PDF export — one workflow instead of three disconnected tools.

Your uploads stay private to your account and auto-delete 30 days after your last use. See how we handle your data.

Create account

In early access — request access if your organization isn't set up yet.

Grounded in your records

Every answer traces back to the data you uploaded — not generic prose you can't check.

Follow-ups stay cheap

Ask again and it reuses the prior run instead of re-reading the whole corpus.

Reach it from your agent

The same analysis over an MCP server (beta), so your AI agent can run reports too — not just you in a browser.