72,000 patents are filed every week. Your team can't read all of them.

Lapis deploys autonomous researchers that surface threats, opportunities, and blind spots across the patents, research papers, and competitor news in your field.

STEP 01 · TELL US YOUR SPACE

Pick the field you work in.

Lapis prefills your scouts with sources, ontologies, and the right watchlist for your industry.

Sample output. Production scouts run against your private roadmap, IP, and watchlist.

Backed by · Built with · Featured in
MicrosoftFOR STARTUPS
FOUNDERS HUB
University of Guelph
RESEARCH PARTNER
York University
TORONTO · SCHULICH NETWORK
Schulich School of Business
SCHULICH SCHOOL OF BUSINESS
GuelphToday
FEATURED · 2025

You're making million-dollar decisions on a fraction of the available science.

Most teams find out too late. That's not bad luck. It's a volume problem.

Patents publish 18 months after filing. The science behind them was happening years before that. 6,000 papers a day, 72,000 patents a week. No team on earth is reading even one percent of it.

NEW RESEARCH PAPERS PUBLISHED SINCE YOU OPENED THIS PAGE
0.00
Volume vs. attention
More papers ship every week than any researcher reads in a career.
LIVE
1M2M3M4M1996200620162024What one team can realistically monitorPublications · 3.5M / yr (Scopus, 2024)
SOURCES: NSF Science & Engineering Indicators · Scopus1996 → 2024
Patents
3.7M / yr
Unwatched

The filing that blocks your prosecution path was submitted 18 months ago. You'll find out in due diligence.

Papers
3.5M / yr
Unwatched

The lab that's 14 months ahead of your program published in March. Nobody on your team saw it.

Grants
$92B / yr
Unwatched

The NIH just funded your competitor's next two years of research. It's public record. You didn't know.

Regulatory
1.2M+ / yr
Unwatched

A rival's filing just narrowed the approval path your program depends on. It sat in a public docket for months.

Competitors
70K+
Unwatched

The startup that just announced in your space wasn't stealth. They were just publishing in places you weren't watching.

Preprints
600K+ / yr
Unwatched

The result that reshapes your roadmap won't be peer-reviewed for a year. It's already posted. The race started without you.

─── HOW IT WORKS

Lapis runs a team of scouts on your field.

A scout is a research agent that reads one kind of source, all day, and never gets tired. Together they learn your program, read the new science, rank what is relevant to you, and send a short brief.

01 · LEARN YOUR PROGRAM

Scouts learn what you're working on, in private.

Share your roadmap, IP portfolio, and watchlist. Scouts privately index it and learn what counts as real news for your team, and what doesn't.

Lapis scouts indexing a team's roadmap, IP portfolio, and watchlist
02 · READ EVERYTHING

They read the full document, not the headline.

USPTO, EPO, CIPO, IP Australia, KIPO. bioRxiv, ChemRxiv, arXiv. Grant registries, conference disclosures, trial filings. Not headlines. The full document.

A Lapis market map of every player, patent, and paper across a field
03 · RANK BY RELEVANCE

They score every finding against your program.

Every patent, paper, grant, and filing lands in one feed, scored by how much it matters to you. The most important ones rise to the top.

Lapis findings feed, signals ranked and scored against your roadmap
04 · BRIEF YOUR TEAM

They send you a short brief, as often as every day.

A short brief, on a schedule you set, as often as every day. Each finding cites its sources, explains why it matters to your program, and suggests the next step a researcher would take.

A Lapis brief with its sources, why the finding matters, and a recommended next step

The most powerful part: they work for you every day, even when you’re not looking. While your BD lead is on a plane and your CEO is in board meetings, Lapis is reading the 6,000 papers that dropped overnight.

─── WHAT YOU GET

Here’s what that looks like.

Not a list of links. A brief, with reasoning, sources, and a clear next step. The output of an entire research team that ran through the night, distilled to what actually matters for your program.

LapisLapis·Brief
Delivered 2d ago
High signalCompetitive IP·2026-W21

Helix Therapeutics is 14 months ahead on hepatic-tropic LNP delivery.

FromAtlasIP / PatentsMiraLiteratureFelixGrants

A continuation filed last Thursday (USPTO 18/421,887) overlaps claims 3–7 of your LNP-7 prosecution path. Cross-referenced against a March bioRxiv preprint and a $1.8M NIH R01 from the same lab. This isn’t a one-off filing, it’s a coordinated program.

Convergence signal · 3 sources, one lab
bioRxiv
Preprint · bioRxiv·2026-03-04
“Branched ionizable lipids enable selective hepatocyte delivery of large mRNA payloads”
Schaefer Lab, TU Munich · 4 authors · 87 citations
NIH
Grant · NIH R01·awarded 2025-09
GM-148312 · $1.8M over 4 years · same lead investigator
Mechanism: hepatic LNP delivery for mRNA therapeutics
USPTO
Patent · USPTO continuation·2026-05-15
Application 18/421,887, claims 3–7 overlap LNP-7 chemistry
Two prior-art references appear missing from prosecution
Why it matters

If granted as filed, claims 3–7 would constrain your hepatic delivery program in US and EU markets, directly affecting your Q3 prosecution plan.

Recommended next step

Review claims 3–7 against your prosecution strategy. We’ve flagged two prior-art references they may have missed, both linked in the full brief.

3 sources cited · full reasoning in appOpen full brief
695M+ IP RECORDS · MONITORED LIVE

Patent offices. Research databases. Industry signals.

Patents, papers, and industry signals, ingested the moment they publish. The set below is a live sample; we bring new feeds and jurisdictions online every week.

USPTOUSPTO+7K/week
EPOEPO+2.2K/week
WIPOWIPO+5.5K/week
KIPOKIPO+4K/week
JPOJPO+6K/week
IP AustraliaIP Australia+550/week
CIPOCIPO+495/week
arXivarXiv+6.5K/week
PubMedPubMed+30K/week
Semantic ScholarSemantic Scholar+50K/week
OpenAlexOpenAlex+125K/week
bioRxivbioRxiv+1.2K/week
CORECORE+65K/week
Europe PMCEurope PMC+22K/week
Hacker NewsHacker News+40K/week
Product HuntProduct Hunt+300/week
TechCrunchTechCrunch+200/week
Y CombinatorY Combinator+12/week
Google NewsGoogle News+50K/week
+ many more being added
695M+ RECORDS INDEXEDPATENTS · PAPERS · COMPETITORS
─── WHY NOT JUST USE CHATGPT

ChatGPT is great if you know what to ask. The hard part is knowing what you don't know.

Once you know about a specific patent, anyone can summarize it. Finding it in the first place, across millions of documents, in 18-month-old data, before it shows up anywhere obvious, is the job Lapis does.

A chatbot / search tool
Lapis
Answers questions you already know to ask
Surfaces the patent, lab, or grant you didn't know existed
Reads what you paste in
Reads every filing and preprint in your field, end to end
Stops when you close the tab
Runs every day, on a schedule, while you're doing your job
Generic answers, hallucinated citations
Cited findings from primary sources, with reasoning
─── TRY LAPIS FREE

Get a free sample brief.

Pick one program. We'll send you the brief within a week.

engineering@lapistech.io · first brief in 7 days · no procurement required