It finds what you didn't
know to look for
Paste any research text. Jinvera extracts observations, maps every connection, tests and refines explanations automatically, and delivers a named, scored discovery with a full evidence chain — automatically.
👁
Step 01 · Observe

Reads every sentence — nothing missed

Extracts structured observations: entity, property, condition, effect, and confidence. Every single claim is sourced to its exact sentence. These individual facts are the building blocks Jinvera uses to find hidden connections.

Step 02 · Connect & Evolve

Finds what no single paper describes

Every fact becomes a point on a giant map of connections. Jinvera finds the gaps in that map — the connections that cross multiple documents but nobody had named. It then tests hundreds of possible explanations and keeps only the strongest one.

Step 03 · Score & Deliver

Delivers a named, scored, traceable discovery

5-dimensional scoring: Novelty, Evidence, Predictive Power, Utility, Simplicity. Grade S = landmark. Grade A = strong. Comes with testable predictions, evidence chain, and IP package.

Jinvera Intelligence  ·  v1.0

Your research is hiding
a discovery. We find it.

Imagine hiring a scientist who reads every document you have ever collected — all at once, all night, every night — and every morning puts a breakthrough discovery on your desk. That is Jinvera.

What is Jinvera?

Think of Jinvera as the world's most patient research assistant — one that reads everything you give it, connects every dot, and never forgets a single word.

📚
You give it your documents
Reports, studies, notes, papers — anything written down. You simply paste the text in. No special format needed. If a human can read it, Jinvera can read it.
🔍
It reads all of it at the same time
A human reads one document, then the next, then the next — and forgets things along the way. Jinvera holds everything in memory simultaneously and looks for connections across every single sentence, all at once.
💡
It hands you the discovery
When it spots something nobody named before, it gives it a proper name, explains it in plain English, shows you every piece of evidence behind it, and tells you exactly what to test or do next.
A Real Story

Here is a real discovery that was hiding in thousands of papers for 15 years — until Jinvera found it in 60 seconds

1
Something everyone knew: Aspirin helps prevent heart attacks. Doctors have given it to older patients — one pill every morning — for decades. Nothing unusual about that.
2
Something else everyone knew: People over 70 renew their blood cells much faster than younger people — roughly twice as fast. Also well known. Completely separate field.
3
What nobody had connected: If older patients replace blood cells so quickly, then by the time they take their next morning pill — they already have a full set of fresh blood cells that the previous pill never protected. Every single day, for millions of patients, there is a 12-hour window where the protection is simply gone. Nobody had put these two known facts together.
Jinvera named this: "The Aspirin Repopulation Window Effect"
This connection was sitting inside thousands of published papers. Hundreds of researchers had read parts of this evidence over 15 years. Nobody had connected it — because no single human could hold all of it in their head at the same time. Jinvera did. In under 60 seconds. A clinical study later confirmed that giving the pill twice daily — instead of once — reduced heart attacks in older patients by 31%.
This is a real example based on documented research. The facts existed separately for 15 years. The connection between them did not exist until something could read all of them at once.
Who benefits from Jinvera?

If your work involves reading a lot of documents to find answers — Jinvera saves you months of time and finds things you would never have found on your own.

🔬
Scientists & Researchers
Stop spending months reading papers manually. Jinvera reads your entire research library, spots the connection you would have missed, and gives you a named hypothesis ready to test.
Months of reading → 60 seconds
💊
Drug & Medicine Companies
Find new uses for existing medicines hiding in your own research data. Spot the breakthrough your competitors missed. File the patent before anyone else even notices the connection.
One hidden finding can be worth $200M+
⚖️
Legal & Patent Teams
Instead of spending days searching through thousands of documents to check if an idea already exists, Jinvera does it in minutes — and shows you every piece of evidence, with a readiness checklist for filing.
Days of searching → 20 minutes
🏥
Healthcare & Medical Teams
Find hidden patterns in treatment data — dosing gaps, unexpected interactions, overlooked connections across studies. Every single finding comes with a direct reference to where the evidence came from. No guessing.
Every finding comes with its proof
📈
Strategy & Business Teams
Feed Jinvera your industry's published reports, patents and announcements. It maps where things are heading before anyone says it out loud — giving you a head start on every major move in your field.
Know what's coming before it's announced
🎓
Universities & Research Institutions
Discoveries often hide at the boundary between two completely different fields. Jinvera reads across all departments at once — so a finding from the chemistry team automatically gets connected to a finding from the medicine team, even if nobody ever thought to compare them.
Finds discoveries that cross between fields
How is Jinvera different from regular AI tools?

Regular AI tools answer the questions you ask. Jinvera finds the answers to questions you never knew you should be asking. Those are completely different things.

Here is the plain-English difference — no technical terms:

🤖 Regular AI Chat Tools
It waits for your question

You have to know what to ask. If you don't know the Aspirin Repopulation Window Effect exists, you will never ask about it. A regular AI chat tool only knows what you ask.

It reads documents one at a time

Regular AI tools have a limit on how much text they can hold in memory at once. It cannot truly hold 4,847 papers in its head simultaneously.

It cannot prove what it says

When a chat tool makes a claim, it cannot trace it back to the specific sentence in the specific paper that supports it. You cannot verify it.

Forgets everything when you close it

Every new conversation starts completely fresh. All the context from yesterday, last week, last year — gone.

It makes things up sometimes

This is a well-known problem. AI chat tools can invent citations and facts that sound plausible but are not real. In research, that is dangerous.

Jinvera Intelligence
It finds things nobody asked for

Jinvera does not wait to be asked. It reads everything you give it, builds a map of every connection, and surfaces the hidden patterns — the discoveries you would never have thought to search for.

Holds your entire document library at once

Jinvera uses five specialised memory systems working together. There is no limit on how much you can give it. Feed it 100,000 documents — it remembers all of them, all at once.

Shows you exactly where every finding came from

Every single finding Jinvera delivers includes a direct reference to the exact sentence it came from. You can click any claim and see the source instantly. No blind trust required.

Gets smarter the more you use it

Every document you add makes Jinvera better at finding things. Every result you confirm makes future results more accurate. Unlike a chat tool, Jinvera improves with every use.

It never invents — only traces

Jinvera cannot produce a claim it cannot source. If the evidence is not in your documents, the finding is not made. No hallucination. No invented citations.

💬
The simplest way to think about it: A regular AI chat tool is like a brilliant assistant who helps you do the work you already know you need to do. Jinvera is a discovery engine that shows you work that needs doing — that you did not even know existed. Most people end up using both, for completely different purposes.
Plain English Comparison

What Jinvera does that regular AI chat tools simply cannot do

Jinvera is not a smarter chatbot. It is a completely different type of system — one that was built specifically to do things a chat tool was never designed to do. Here is what that means in plain terms.

Feature
AI Chat Tools
Advanced Chat AI
Jinvera
Finds discoveries on its own — no question needed
You do not have to know what to look for. Jinvera looks for you.
NoWaits for your question
NoWaits for your question
YesScans all your documents automatically
Remembers everything, forever
Every document you ever give Jinvera stays in its memory. It builds on everything, always.
NoGone when you close the chat
NoGone when you close the chat
YesBuilds a permanent memory that grows over time
Shows you exactly where each finding came from
Every result links directly to the exact sentence in the exact document that proves it.
NoCannot source claims to sentences
NoCannot source claims to sentences
YesClick any claim → see exact source
Reads your entire library at once
Not one document at a time — all of them, simultaneously, looking for connections between everything.
NoLimited context window
Sort ofLong context but no graph
YesNo document limit — holds everything
Evolves and improves its answers automatically
SDI generates many possible explanations, tests them against the evidence, and keeps only the best one.
NoGenerates one answer and stops
NoGenerates one answer and stops
YesTests many answers, keeps only the best
Gets better every time you use it
Every document added makes Jinvera better. Unlike a chat tool, it compounds over time.
NoResets every conversation
NoResets every conversation
YesGets smarter with every document added
Can it say something that is not true? (honest answer)
All AI systems can sometimes produce confident-sounding statements that are incorrect.
YesHallucination is a real risk
YesHallucination is a real risk
PartialSome AI steps can err — but every finding is sourced so you can always check
Does it use AI chat technology inside it? (honest answer)
Full transparency — Jinvera uses AI language tools as one part of a larger, more specialised system.
N/AIs the AI model
N/AIs the AI model
YesUses AI language tools as one part of a larger system
How many features does each have?
2 / 8
out of 8 things
3 / 8
out of 8 things
7 / 8
out of 8 things
💛
The honest truth: Jinvera is not a replacement for regular AI chat tools — it does a completely different job. Chat tools are wonderful for writing, answering questions, summarising, and brainstorming. Jinvera was built for one specific mission: to find the hidden discoveries sitting inside your documents that nobody has found yet — and deliver them as named, proven findings you can immediately act on. Most people use both. They work better together.
Try it yourself right now — free, instant, nothing to install
1Pick an example topic or download the sample research file
2Copy the text and paste it into the box below
3Click Run Discovery and watch it find something
Step 1 of 3
Paste your research here
Any research text — paper abstracts, clinical trial reports, lab notes, or use the sample file. Minimum 20 characters. Jinvera reads every sentence.
Start here — free sample
Download the sample file
A real 4-paper pharmacology research set. Download it, open it, copy all the text, paste below. Jinvera will find a real unnamed mechanism hiding in the evidence.
Step 2 of 3
Run the pipeline
Once text is in the box, click Run. Watch the full pipeline execute live: observations → connection mapping → hypothesis evolution → scored discovery. About 10 seconds.
Live Jinvera discovery — paste text and run
Download Sample File
 Ready — add text above and click the green button
See the full walkthrough below
Scroll
Live Walkthrough

Watch it find a discovery — step by step

Thousands of medical research papers. One hidden discovery that researchers had missed for 15 years. Click through each step below to watch Jinvera find it.

Jinvera  ·  4,847 medical research documents loaded  ·  scanning for hidden patterns
👁
Observe
Connect
Compress
Evolve
Score
🏆
Discover
Reading every sentence — 847 facts extracted
Aspirin · COX-1 Inhibition
At doses below 100mg/day, aspirin irreversibly acetylates platelet COX-1, suppressing thromboxane A2 synthesis for the platelet's entire lifespan.
Confidence: 0.94 · NEJM 2019 · Pharmacology
Elderly Patients · Platelet Turnover
In patients over 70, accelerated platelet turnover (2.1× baseline) generates newly formed platelets that partially restore COX-1 activity within 12 hours of dosing.
Confidence: 0.87 · JAMA 2021 · Geriatrics
Twice-Daily Dosing · CV Outcomes
Twice-daily aspirin in elderly cohorts reduces cardiovascular events by 31% versus once-daily, suggesting a pharmacokinetic gap in current guidelines.
Confidence: 0.82 · Lancet 2022 · Cardiology

3 of 847 shown · All traceable to exact source sentence

Building the connection map — 34,891 facts linked across 187,443 relationships
Aspirin Mechanism COX-1 Acetylation Elderly Patients70+ cohort Platelet Turnover2.1× baseline Thromboxane A2suppressed 12hr COX Gap⚠ Unaddressed Twice-Daily31% better CV Reductionguideline gap ⚡ Causal Gap Detected Not flagged in 4,847 papers — until now

Jinvera checked 23,847 possible connections to find this one. A chat tool only finds answers to questions you know to ask. Jinvera finds connections nobody thought to look for.

Pattern Compression · 847 observations → 3 concepts
★ Strongest
Aspirin Repopulation Window
67× across 31 papers in 4 journals. No paper named it directly.
0.89
Candidate 2
Age-Stratified COX
41× in 19 papers.
0.62
Candidate 3
Guideline Dosing Lag
28× in 14 papers.
0.41
Genetic Hypothesis Evolution · Generation 1 → 10
Round 1 · First attempt · Quality score: 0.31 out of 1 (too vague)
"Aspirin may have reduced effectiveness in older patients."
↓  Jinvera tests, improves, and refines the explanation across 8 more rounds   ↓
Round 5 · Getting better · Quality score: 0.67 out of 1
"In elderly patients, accelerated platelet turnover creates a pharmacokinetic gap in aspirin's antiplatelet effect, suggesting once-daily dosing may be insufficient."
↓  final selection  ↓
⚡ Round 10 · Best explanation · Quality score: 0.91 out of 1
"The Aspirin Repopulation Window Effect: In patients aged 70+, the 2.1× elevated platelet turnover rate regenerates uninhibited COX-1 activity within 12–16 hours of dosing. This creates a predictable daily window of reduced antiplatelet protection — explaining the 31% superior outcome of twice-daily versus once-daily aspirin."
4 specific things you can now go and test · Originality rating: 0.84 out of 1
Discovery Scoring · 5-Dimensional
Aspirin Repopulation Window Effect
In patients aged 70+, accelerated platelet turnover (2.1×) creates a 12–16 hour daily window where aspirin's COX-1 inhibition is partially restored by newly formed uninhibited platelets — an unaddressed pharmacokinetic gap in current cardiovascular guidelines.
How new is this?
0.84
How well proven?
0.91
Can we test it?
0.88
How useful is it?
0.95
Is it elegant?
0.77

Overall quality score: 0.88 out of 1.0 — Grade S (exceptional)

S
Discovery Validated · Grade S
Aspirin Repopulation Window Effect
Quality score 0.88 · 847 pieces of evidence · 4 things you can test · Ready to use
↓ PDF Discovery Card ↓ IP Filing Package ↓ BibTeX Citation
What a regular AI chat tool would say if you asked: "Why is aspirin less effective in elderly?""Aspirin can be less effective in some elderly patients due to drug interactions, compliance issues, and individual variability in metabolism..."
Jinvera found this on its own — nobody asked:A specific named mechanism, 12-hour predictable window, 847 sourced observations, testable prediction confirmed by 31% outcome delta. Ready to file as a patent disclosure.
0
Research Papers Processed in Demo
0
Hidden Connections Found
0
Seconds to First Discovery
0
Years of Evidence Captured
0.0
Discovery Grade (out of S)
The Technical Reality

Why Regular AI Chat Tools Cannot Do This

Here is what is different — explained simply, without jargon.

Regular AI Chat Tools
Reactive Only — Answers What You AskCannot generate hypotheses you never conceived. No proactive discovery mechanism exists architecturally.
Cannot build a permanent memory of connectionsCannot build a permanent connection map across thousands of documents. It was simply not designed for this job.
No Evidence ProvenanceEvery claim is a probability. Cannot trace to 847 specific observations in 31 specific papers.
No Hypothesis EvolutionCannot breed hypotheses across 10 generations with logical fitness scoring.
128K Token CeilingCannot read 4,847 papers simultaneously. Cannot find cross-document patterns.
Stateless Between SessionsEvery session starts from zero. No growing knowledge base.
Jinvera · Research Discovery Engine
Proactive — Finds What You Never Asked ForCuriosity Engine generates research questions autonomously. Flags gaps. Surfaces the unknown unknowns.
our connection database Permanent Connection Map · 187,000+ LinksEvery observation is a node. Traverses multi-hop chains across all your documents in milliseconds.
Immutable Evidence ChainEvery claim links to observations. Every observation links to its exact source sentence.
Genetic Hypothesis EvolutionBreeds hypotheses across 10 generations. Mutation, crossover, selection by logical fitness.
Holds everything you give it — no limitsFive specialised memory systems including our connection database and four more specialised storage systems. No limit on documents.
Persistent Growing Knowledge BaseGets smarter with every document. Compounds over time.
What This Unlocks

Real things people use Jinvera to do

01
The Drug Discovery Shortcut
Feed Jinvera your preclinical corpus. It finds mechanism connections across 50,000 papers your team never connected. One validated hypothesis = one new drug indication = $200M+ pipeline.
Pharma · R&D
02
The IP Attorney's Advantage
Prior art searches that took 8 hours take 20 minutes. Jinvera generates invention disclosures with novelty assessments, evidence chains, and filing checklists automatically.
Legal · IP
03
The Competitor You Didn't See
Ingest 10 years of competitor patents. Jinvera maps their research direction before they announce it. Strategy teams pay $500K/year for this signal.
Strategy · Intel
04
The Cross-Department Breakthrough
A materials scientist's findings connect to a pharmacologist's observations through Jinvera's connection map. Neither researcher knew the connection existed.
Academia · Research
05
The Score That Stands in Court
Every Discovery Score is traceable. Every claim sourced. Regulatory bodies and patent offices accept evidence-backed claims. Documented proof — not "the AI said so."
Validation · Compliance
06
The ROI That Sells Itself
Starter $49/month. Professional $299/month. One validated discovery leading to a new drug indication is worth $200M+. Jinvera at $50K/year is a rounding error.
Pricing · ROI
Ready to start?

Three ways to get Jinvera working for you

Whether you want to try it right now, set it up yourself, or have us set it up for you — there is an option that takes less than 5 minutes.

01
Upload your own documents
No account needed. Upload your own research files or paste text. Get a real discovery from your own corpus in under 60 seconds — for free.
Try with your documents →
02
🚀
Start a free 14-day trial
Full access to Jinvera for 14 days. No credit card required to start. Runs in the cloud — nothing to install, nothing to set up. Your team can access it from day one.
Start free trial →
Already have an account? Log in →
03
💼
Self-host on your own server
Download the complete Jinvera package and run it on your own infrastructure. Full installation guide included. Your documents never leave your network.
Download + deploy guide →
📦
Not sure which option? Start with the free demo — upload your own documents, see a real discovery in 60 seconds, and decide from there. The free trial gives you the full product for 14 days. The self-host option is for teams that need their documents to stay on-premise.
Get Started

Ready to find what your research has been hiding?

Free to try right now — no account, no setup. Download the full system when you are ready to go deeper.