🚀 Nextnet is live!
An AI-native knowledge platform to supercharge teams in life sciences.
Already used in 100+ countries 🌍
🔬 Try it free: https://t.co/KOihpWvKsg
AI answers are only as useful as the evidence behind them.
With Nextnet, every answer is connected to the underlying scientific literature, so you can inspect sources, review supporting excerpts, explore citation networks, and evaluate the researchers behind the work.
From answer → source → context → impact.
Go beyond answers. Explore the full research context behind them.
Try Nextnet for free: https://t.co/XHQrKTMm4h
Organizations generate and collect enormous amounts of information, yet much of it remains disconnected.
Research publications, patents, proprietary data, technical reports, and domain-specific knowledge often exist in separate systems with no shared context between them.
Nextnet connects it all.
By unifying disparate datasets into a navigable web of semantic knowledge, we transform fragmented information into structured, explainable intelligence. Researchers and analysts can move beyond keyword search, trace relationships across domains, and get answers grounded in evidence.
Try Nextnet for free https://t.co/XHQrKTLOeJ
A recent Nature story caught my attention.
A researcher created a completely fictional disease called “bixonimania” to test whether AI systems could distinguish fabricated information from legitimate medical knowledge.
Every life sciences organization needs its own internal ontology built on open standards, aligned with their domain, and owned by the enterprise. This is essential for protecting IP and maintaining a competitive edge.
👉 Read more about Nextnet ontology in our blog https://t.co/iJaOyngsBZ
Structured ontologies enhance generative AI through two key ways: accuracy and efficiency. While providing something generative AI urgently needs: grounding.
LLMs excel at creative generation but often lack consistent logical boundaries. Ontologies supply the formal structure that anchors meaning. They harmonize wildly different data sources into a coherent semantic layer.
When precision matters more than plausible text, ontologies provide one of the most reliable ways to keep AI from hallucinating.
🧬 What if genomic discovery didn’t mean hours of digging through disconnected data?
This DNA Day, explore how Nextnet connects the dots linking publications, authors, and molecular datasets into a single, navigable layer of knowledge.
The result?
Less searching. More discovering.
Try Nextnet for free https://t.co/XHQrKTLOeJ
Nextnet’s breakthrough has been to build our ontology specifically to connect biomedical data across disparate data sources and contexts. We have integrated most of the large public datasets that are used by researchers today. But we have gone further to include scientific literature, clinical trials, patents, and other commercial datasets. We also integrate proprietary data sources through partnerships. We semantically tag and standardize this information and connect it into a unified semantic network.
👉 Read more about Nextnet ontology in our blog https://t.co/iJaOynfUMr
AI alone isn’t enough to turn complex data into insight. What’s missing is structure that gives meaning and context.
Our latest post breaks down 5 ways Nextnet ontology can help organizations unlock the full value of their data:
🔸 Ground AI in real scientific meaning to reduce hallucinations
🔸 Connect siloed data into a shared semantic layer
🔸 Enable research-grade reasoning, not just text generation
🔸 Turn expert knowledge into reusable, extensible infrastructure
🔸 Build a durable AI moat your organization truly owns
👉 Read more about Nextnet ontology in our latest blog https://t.co/iJaOyngsBZ
Behind every paper is a network of people shaping the field.
When exploring a new research area, it’s not enough to find relevant publications: you need to understand who’s driving the work, where expertise sits, and how ideas connect across institutions.
In this video, we show how Nextnet helps you move from a single research question to a structured, evidence-backed view of the field, and then beyond the papers themselves:
🔹 Identify key authors and their impact
🔹 Explore research networks and collaborations
🔹 Navigate publications as connected knowledge, not isolated outputs
🔹 Access verified researcher profiles and bibliometric insights
From question → evidence → experts → networks — all in one flow.
Scientific knowledge is expanding faster than ever but the data behind it remains fragmented.
Genes, diseases, drugs, publications, datasets… all living in separate silos.
Nextnet Ontology brings these pieces together into a unified semantic framework that connects biological entities, relationships, and evidence across the life sciences landscape.
The result:
🔸 More meaningful discovery
🔸 Smarter AI reasoning
🔸 A deeper understanding of how knowledge truly connects
Read the full blog to see how ontology powers the foundation of the Nextnet platform 👉 https://t.co/iJaOynfUMr
Scientists love structure, and now Explorer gives you even more ways to shape it with different layout views:
1️⃣ Auto
2️⃣ Circular
3️⃣ Cluster
4️⃣ Grid
5️⃣ Tree (Vertical)
6️⃣ Tree (Horizontal)
This feature update makes a big difference. You can switch between perspectives to reveal patterns that weren’t visible before and choose the view that best fits your workflow or presentation style.
No more losing track of what you were exploring. Explorer keeps an automatic log of your most recently viewed data cards.
Just click “Last data cards”, and a panel pops up showing your previously opened nodes. Perfect for:
▶️ Resuming an investigation
▶️ Jumping back to earlier nodes
▶️ Managing multi-threaded research
▶️ Keeping continuity across deep dives
It’s your personal breadcrumb trail through the knowledge map.
No more losing track of what you were exploring. Explorer keeps an automatic log of your most recently viewed data cards.
Just click “Last data cards”, and a panel pops up showing your previously opened nodes. Perfect for:
▶️ Resuming an investigation
▶️ Jumping back to earlier nodes
▶️ Managing multi-threaded research
▶️ Keeping continuity across deep dives
It’s your personal breadcrumb trail through the knowledge map.
Explore relationships across multiple degrees of separation intelligently. With the new “Expand” on the node feature you can
1️⃣ Reveal deeper contextual relationships between the nodes
2️⃣ See how concepts and topics not only interconnect, but also how they are embedded within the broader network of information available in the Nextnet semantic web
3️⃣ Move beyond individual topics toward a true deep-dive analysis into any topic of interest
Whether you want everything at once (“Expand All”) or hand-picked node types (“Expand Advanced”), Explorer gives you full control over how your map grows.
🔗 Move from Copilot to Explorer in one click
Your curated literature lists don’t have to stay exclusively in Copilot anymore.
With the “Open in Explorer” feature, you can take any source surfaced in Copilot and instantly turn it into a visual knowledge map revealing the deeper relationships behind the research.
Here’s what that unlocks:
🟢 Send a selected paper from Copilot straight into Explorer
🟢 Start a new exploration session or merge it with an existing one
🟢 See papers, authors, institutions, and journals as interactive nodes
🟢 Explore key opinion leaders, research networks, semantic context, and more
It’s a seamless bridge between question-answering and knowledge-mapping, so you can move from insights to understanding, faster.
👉 Explore beyond the answer.
Happy New Year! 🎉
As we step into 2026, we’re excited to keep building tools that help researchers, scientists, and knowledge teams move faster while putting the joy of discovery front and center.
Thank you to our customers, partners, and user community across the globe for pushing us to think deeper, map smarter, and raise the bar for building the AI application layer for life sciences. Here’s to structured ontologies, world's largest semantic web of biomedical data, answers with no hallucinations, and those aha moments when disparate data becomes actionable.
Wishing you a productive, curious, and impactful year ahead.
-- The Nextnet team
What if one research paper could instantly lead you to dozens of high-quality, closely related studies?
In this video, we show how Nextnet Explorer turns a research article node into an interactive entry point to the broader scientific conversation behind your question.
🔍 Start with one paper
Zoom into a research article node in Explorer. This isn’t just a static reference: it’s your launch point into curated, evidence-backed sources tied to your query.
🧠 See the full citation network
Open the research article’s data card and go to the “Citations” and “Cited by” sections. Each paper connects to dozens of relevant studies, many published in the last few years, giving you a fast read on how the field is evolving.
🔗 Follow the evidence, click by click
Tap any paper to view article details, metadata, and its own citation network. From there, keep navigating: one paper leads naturally to the next.
🗺️ Trace ideas across the field
Because the map is dynamic, you can move between related research article nodes and watch how ideas flow from a single study into the broader scientific landscape with just one click.
If you’re done jumping between PDFs and static reference lists, this is a faster, more intuitive way to explore trusted scientific evidence.
▶️ Watch how Explorer helps you turn one article into 100+ meaningful citations.
How do you know if a scientific answer is actually trustworthy?
Nextnet Copilot is designed to make evidence visible, not hidden.
In this video, we show how Copilot transforms a single research question into a deeply connected view of scientific literature. Every answer is anchored in peer-reviewed sources, carefully selected for relevance, recency, and quality.
From there, Copilot lets you explore far beyond a static reference list.
Each paper unfolds into a dynamic citation network, revealing:
🟢 The papers it builds on
🟢 The studies citing it right now
🟢 How ideas spread, evolve, and influence the field
No more endless scrolling. No more dead-end PDFs. Copilot guides you straight to the research that’s shaping the conversation today and lets you follow the trail as far as your curiosity takes you.
Every citation is interactive. Open any paper to explore full details, metadata, and its own network of connections, all without breaking your flow.
With Nextnet Copilot, research isn’t a list of references.
It’s an experience.
🔍 Ask a question.
📚 Unlock 100x more trusted sources.
🚀 Explore the science behind the answer.
If you’re looking to get productive with Nextnet right away, this is the best place to start.
Watch the full tutorial on Youtube: https://t.co/qIJIumZ6ZF
In this 10-minute tutorial, our Head of Data & Science, @ParkDerekS, walks you through the crux of Nextnet and shows how to go from a research question to verifiable evidence -- fast!
You’ll learn how to:
✅Use Copilot to move straight from a hypothesis to real scientific evidence
✅View full article, author, and institution details via the “Sources” menu
✅Navigate dynamic citations and access full-text articles
✅Use follow-up questions for guided discovery and deeper exploration
✅Open the interactive knowledge map in Explorer
✅Explore molecular and textual data and understand how entities connect
✅Zoom into any node to see complete details about that entity