Free to start · No credit card · Your manuscript never leaves your control
Submit · Audit · Seal
Run a structural AI audit, secure your IP with Proof of Discovery, and route to Tier-1 reviewers — before you ever hit submit.
The pre-submission bridge for academic publishing. Deploy a structural AI audit, mathematically secure your IP with Proof of Discovery, and route to verified Tier-1 reviewers through the GEAR Network — before formal journal submission.
500+ Researchers Onboarded (Beta Users across MUET pilot + early access signups)
Award & Hackathon Winner
Proof of Discovery seals issued
AI Detection Accuracy on formatting and structural error identification (internal benchmark)
Reduction in Structural Errors detected pre-submission (MUET pilot data, N=47 papers)
Improvement in reviewer-rated paper quality scores (pre vs. post AI-check)
From MUET to the national HEC framework, ScholarMark is built with the universities and bodies shaping the country's research output.
Integrated with and trusted by Pakistan's national technology incubation and R&D bodies — including the Ignite National Technology Fund, the Ministry of IT & Telecom, and the National Incubation Center.
80%
average error reduction measured across the live MUET institutional pilot — Mehran University of Engineering & Technology (N=47 manuscripts).
Universities inherit a framework designed in the 1970s — manual gates, fragmented reviewer networks, and zero pre-submission integrity layers. It fails on two structural fronts: the non-intellectual bottleneck that desk-rejects 70% of papers, and the 6-to-12 month dead zone every rejection creates.
The loyalty trap
High Impact Factor journals force thoroughly reviewed papers into endless queues. A contributor who has written for a journal for 10+ years — since its I.F. was a mere 0.X — is treated like an outsider the moment that journal gains prominence.
The exposure gap
Where is your data right now? Your research…
Sits unprotected for 12+ months on average in a publishing queue of a Top Journal.
Sits unprotected for a long time in an unencrypted public cloud storage environment.
Stays inside a storage drive on an external reviewer's local machine with zero corporate oversight.
Sits unprotected in a publishing queue where it risks being crawled and analyzed by unauthorized AI tools.
The gap between when you discover something and when it is formally published — fully written, but legally unprotected and open to scooping or authorship disputes. Today, the most dangerous window in your research career.
Over 70% of papers are rejected at the editorial desk for non-intellectual errors — formatting deviations, citation anomalies, protocol failures. Not bad science; broken structure.
Solved by AI Integrity Layer~70%
desk-rejected
With only a manual paper trail as evidence, early-stage ideas can be poached during the vulnerable pre-review window — with no mathematical proof of priority.
Solved by Integritas Vault (POD)No proof
of priority
Legacy peer networks are manual and overloaded, pushing every paper into a 6-to-12-month queue before a single expert opinion ever arrives.
Solved by The GEAR Network6–12mo
dead zone
The path a draft takes from private upload to verified evaluation — secured, audited, and reviewed before it ever reaches a formal journal.
Deploy
The manuscript enters a non-public vault — never an open ledger, never a public disclosure.
Audit
Mathematical validation against your institutional and target-journal ruleset clears structural errors before any human sees it.
Evaluate
Match with verified Tier-1 reviewers for uncorrupted, fast evaluation before formal journal submission.
Secure
An immutable mathematical hash anchors the work to your identity — Proof of Discovery, established without public disclosure.
ScholarMark replaces a 50-year-old pipeline with unified infrastructure: an AI Integrity Layer for structural compliance, the Integritas Vault for IP sovereignty, and the GEAR Network for verified peer evaluation — deployed before formal journal submission.
Integrity audit
PassedReadiness score
Layer 01 · AI Integrity Layer
Structural compliance engine
Automated pre-submission parsing. Before any human editor or reviewer touches the manuscript, the engine audits your draft against the exact ruleset configured by your university's research office or the target journal — flagging the non-intellectual errors that trigger most desk rejections.
Proof of Discovery
Integritas Vault · POD
Distributed Consensus Mechanisms in Federated Learning Networks
Dr. Hina Raza · MUET
Discovery audit trail
Layer 02 · Integritas Vault & POD
IP sovereignty
When a draft is uploaded, the infrastructure generates an immutable mathematical hash anchored to your identity inside a non-public vault. This is cryptographic Proof of Discovery: undeniable global prior art and First-to-Invent verification — established without public disclosure, so ideas cannot be poached during the vulnerable pre-review draft stage.
Independent Reviews
With author permissionShared for fast publication in high-impact-factor journals & conference proceedings.
1,240+
Successful reviews
42
Top reviewers
Names of top reviewers
Dr. K. Memon
Machine Learning · 128 reviews
Prof. R. Naqvi
Distributed Systems · 96 reviews
Dr. M. Lashari
Computer Vision · 73 reviews
Thank you for your trust — leave the rest to us.
Layer 03 · The GEAR Network
Verified peer evaluation marketplace
A double-blind, decentralized marketplace connecting authors to verified Tier-1 expert reviewers and PhD holders. GEAR eliminates the fragmentation of legacy peer networks, running on data-driven, machine-learning field matching and clear SLAs to deliver fast, uncorrupted evaluation before your paper is ever routed to a formal journal.
Five structural metrics. One pipeline designed in the 1970s, one deployed as infrastructure for 2026.
Legacy academic framework
ScholarMark integrated pipeline
Average pre-review wait time
Legacy
6 to 12 months
ScholarMark
Near-instant automated structural audit
Desk rejection rate (structural)
Legacy
~70% globally
ScholarMark
Minimized via pre-submission ruleset engine
Early-stage IP protection
Legacy
Vulnerable — manual paper trail only
ScholarMark
Mathematically secured Proof of Discovery (POD)
Reviewer network routing
Legacy
Fragmented, manual & overburdened
ScholarMark
Verified GEAR marketplace optimization
Institutional oversight
Legacy
Blind to drafts until journal submission
ScholarMark
Real-time management console
MoU signings, national briefings, campus sessions, and live security showcases — real rooms, real institutions, real researchers.
Pakistan IT Minister
Federal IT leadership
Meeting with Pakistan's Federal Ministry of IT & Telecom.
For individual researchers
Secure your IP and clear the structural hurdles before you ever hit submit.
For institutions &
Equip your faculty and safeguard your institution's research output at scale.
Researchers, reviewers, and research offices across our institutional pilot.
The AI readiness check flagged three missing DOIs and a PII leak in my dataset before I ever submitted. Months of desk-rejection avoided.
Dr. Sana Qureshi
Computer Science, MUET
For the first time I can prove exactly when I documented my method. The POD seal gave us priority when a competing group published a similar approach.
Prof. Imran Shaikh
Electrical Engineering, MUET
Reviewing used to be unpaid, invisible work. With escrow my fee is released the moment I deliver, not six months later.
Dr. Ayesha Khan
Reviewer · NED University
Our department runs every pre-submission draft through ScholarMark now. Fewer rejections, faster timelines, and a clean audit trail for the research office.
Prof. Bilal Ahmed
Mechanical Engineering, UET Lahore
I sealed my dataset the night before a conference deadline. Knowing the timestamp is immutable took a real weight off.
Dr. Hina Raza
Data Science, MUET
The AI readiness check flagged three missing DOIs and a PII leak in my dataset before I ever submitted. Months of desk-rejection avoided.
Dr. Sana Qureshi
Computer Science, MUET
For the first time I can prove exactly when I documented my method. The POD seal gave us priority when a competing group published a similar approach.
Prof. Imran Shaikh
Electrical Engineering, MUET
Reviewing used to be unpaid, invisible work. With escrow my fee is released the moment I deliver, not six months later.
Dr. Ayesha Khan
Reviewer · NED University
Our department runs every pre-submission draft through ScholarMark now. Fewer rejections, faster timelines, and a clean audit trail for the research office.
Prof. Bilal Ahmed
Mechanical Engineering, UET Lahore
I sealed my dataset the night before a conference deadline. Knowing the timestamp is immutable took a real weight off.
Dr. Hina Raza
Data Science, MUET
I accept far more review requests now. Field-matched routing means the papers actually fit my expertise, and I get paid fairly.
Dr. Omar Farooq
Reviewer · FAST NUCES
Our faculty's publication timelines dropped noticeably. The pre-submission audit removes the back-and-forth that used to cost us months.
Prof. Nadia Siddiqui
Research Office Director, MUET
The format-compliance pass catches the small structural issues reviewers used to reject us for. My last two papers cleared desk review first time.
Dr. Kamran Memon
Machine Learning, MUET
We now cite the Proof-of-Discovery seal in grant applications as evidence of prior art. Reviewers take the timestamp seriously.
Dr. Rabia Aslam
Biotechnology, NUST
Originality scoring before submission saved a student from an accidental overlap they hadn't noticed. That alone earned its place in our workflow.
Prof. Tariq Mahmood
Computer Science, COMSATS
I accept far more review requests now. Field-matched routing means the papers actually fit my expertise, and I get paid fairly.
Dr. Omar Farooq
Reviewer · FAST NUCES
Our faculty's publication timelines dropped noticeably. The pre-submission audit removes the back-and-forth that used to cost us months.
Prof. Nadia Siddiqui
Research Office Director, MUET
The format-compliance pass catches the small structural issues reviewers used to reject us for. My last two papers cleared desk review first time.
Dr. Kamran Memon
Machine Learning, MUET
We now cite the Proof-of-Discovery seal in grant applications as evidence of prior art. Reviewers take the timestamp seriously.
Dr. Rabia Aslam
Biotechnology, NUST
Originality scoring before submission saved a student from an accidental overlap they hadn't noticed. That alone earned its place in our workflow.
Prof. Tariq Mahmood
Computer Science, COMSATS
Join 500+ researchers already securing their work in our beta infrastructure.
Free to start · No credit card · Your manuscript never leaves your control