PI Press
From research inspiration to publication.
Claims published to the network
For Researchers
From inspiration to publication, PI Press continuously understands your work, follows your field, and helps move your research forward.
Bring your papers, patents, skills, and previous work into one continuously evolving research profile.
Receive personalized signals, emerging Claims, and unexpected connections that can inspire your next research question.
Transform your ideas, evidence, and existing work into reports, papers, proposals, and patent drafts.
Explore, develop, write, and prepare your research for submission in one conversational workflow.
Turn accepted research — and even patented work — into traceable, machine-readable Claims connected to their source papers, evidence, and authors, so it can be discovered and reused.
For Journals
Coming soonFrom launch to intelligent operation, PI Press helps journals continuously discover, review, publish, and grow knowledge.
Create or onboard a journal, define its scope, and open its publishing workspace.
Manage submission, review, revision, decisions, and publication in one intelligent system.
Keep manuscripts moving through AI-native review while editors retain final scholarly judgment.
Discover emerging topics, identify relevant authors, invite contributions, and route suitable work to your journal.
Publish Papers and Claims as traceable, machine-readable knowledge that can continue to be discovered, verified, and reused.
Use Cases
Explore emerging questions, discover unexpected connections, and turn frontier research into publishable, verifiable knowledge.
Foundation Models · Large Language Models · Multimodal Learning · Reasoning & Planning · Reinforcement Learning · Alignment & Safety
Example question
How is long-horizon reasoning evolving in large language models?
Possible outputs
Autonomous Agents · Multi-Agent Systems · Machine Reasoning · Memory & Planning · Human–AI Collaboration · Intelligent Decision-Making
Example question
What are the unresolved challenges in long-term memory for autonomous agents?
Possible outputs
Embodied Intelligence · Robotics · Digital Twins · Smart Manufacturing · Predictive Systems · Cyber-Physical Systems
Example question
Which approaches enable reliable decision-making in embodied and physical AI systems?
Possible outputs
AI for Science · AI for Education · Drones & Low-Altitude Economy · Autonomous Driving · Medical Robotics · Energy Systems
Example question
What is enabling safe, large-scale coordination of drones in low-altitude airspace?
Possible outputs
Bitcoin & Consensus · Zero-Knowledge Proofs · Post-Quantum Cryptography · Cryptographic Protocols · Decentralized Identity · AI × Crypto
Example question
How resilient are Bitcoin's cryptographic assumptions under advances in quantum computing, and what post-quantum schemes offer viable migration paths?
Possible outputs
Our Thesis
01
Publishing is no longer an outcome. It is a process.
02
Research organizations will become 24/7 cognitive factories.
03
Agents will become the primary consumers of academic knowledge.
04
Third-generation publishing will become the cognitive layer for physical AI.
05
Publishing will become the new agriculture — growing the food that keeps large models and AI agents alive.
Redefining Academic Publishing
Human–agent co-production that evolves continuously, 24/7.
Transparent reasoning, traceable evidence, and verifiable decisions.
Knowledge that can be read by people and directly called by agents.
Explicit rules executed transparently across the publishing process.
The creation, verification, use, and reuse of knowledge become measurable.
Our Goal
Our goal is an open and neutral knowledge commons — where trusted knowledge flows freely among researchers, journals, knowledge organizations, and intelligent machines, with clear attribution and verifiable provenance; where recognition and value return to those who create, verify, and maintain knowledge; and where overlooked ideas are surfaced and tested. Open, trusted knowledge is the shared foundation for open science, open software, and open hardware.
FAQ
Third-generation publishing treats research as a continuous, verifiable, and machine-readable process — not only as a final document.
Parallel Intelligent Press (PI Press) is an open, neutral, third-generation academic publishing platform. It is not another paper database, AI writing tool, or intelligent submission system. Instead, it connects individual research and journal publishing within a single AI-native workflow: from inspiration, research, and verification, to submission, review, and formal publication, and onward to reuse and evolution — so that knowledge can be continuously tracked, verified, and updated, and can be discovered, called, and cited by both people and intelligent machines.
Researchers can build an evolving research profile, receive personalized research intelligence, discover new questions, generate reports and papers, and move from inspiration to submission and publication.
Journals can launch or onboard their publishing workspace, manage the full publishing workflow, reduce reviewer bottlenecks, operate proactively, and publish both Papers and machine-readable Claims.
A Claim is a structured research conclusion connected to its source paper, evidence, authors, and publication record. Claims allow important research results to remain traceable, discoverable, and reusable by both people and intelligent agents.
PI Press begins with Intelligent Science and Technology, spanning foundational AI, intelligent systems, industrial and physical AI, real-world applications such as AI for Science and AI for Education, and blockchain and cryptography. The underlying publishing system is designed to expand across scientific fields.
AI is embedded throughout the research and publishing workflow — from research discovery and output generation to review, publication, and knowledge reuse. It is not simply a chatbot added to a traditional publishing system.
No. PI Press uses AI to support continuous research and publishing workflows, reduce repetitive work, and provide structured analysis. Researchers remain responsible for their work, while journals retain final scholarly judgment and governance responsibility.