NextELN

Turn years of lab history into cited scientific memory

Migrate your notebooks, spreadsheets, documents, and databases into an AI-native ELN that answers exact and semantic questions from your own evidence — every answer cited, your data and model choice always under your control.

Nearly two decades of running our own lab notebook — Excellgen has built one since 2008— rebuilt on modern, AI-native technology. Deep experience + next-generation tech: that's why it's Next. Why NextELN →

Since 2008
our own ELN, in daily use
3,000+ pages
migrated with authorship & revisions intact
Tens of thousands
of records, now AI-queryable
Semantic + exact
queries live, every answer cited

We proved it on our own history first. We can do the same with yours →

AI-powered search

Ask in plain English and find anything across notebooks, tables, and inventory — semantic search that understands meaning, not just keywords.

Ask your data

Natural-language questions over your tables and inventory — “which antibodies expire in 30 days?” — answered instantly from your own records.

Notebooks & pages

Rich text with tables, images, and file attachments — organized in notebooks and categories, with real-time co-editing.

Spreadsheet → structured database

Upload an Excel or CSV file and NextELN builds a typed, structured table automatically — column types detected, repeated values turned into lookups. No schema design, no code.

Compliance-ready

E-signatures, witnessing, immutable revision history, and full audit logs — the record-keeping serious research demands.

Your data, your database

Start free on us; when you grow, connect your own Postgres (Aiven, Supabase, Neon, AWS) and we migrate your data automatically.

AI, built in

Your notebook, intelligently searchable

Turn on the vector databaseand your lab's pages, tables, and inventory become searchable by meaning — so the whole team finds and reasons over its data, not just filenames.

Semantic search & ask-your-data

Search and ask questions in plain English across everything you've recorded. Answers cite your own rows.

AI Lab Assistant

Draft protocols, design experiments, review PubMed literature, and analyze DNA/protein sequences. Use Claude for full Claude for Life Sciences capabilities, or your own OpenAI key.

Your preferred model, no markup games

Bring your own key — Claude or OpenAI — and pay your provider directly, or turn on Managed AI and we run it for you, billed monthly for exactly what you use. No markup games — what you pay is what you get.

Your data stays yours — AI runs per-workspace and is never used to train models.

Next generation

Things a legacy notebook makes painful — here they just work

Modern capabilities that let you bring your whole lab in, in minutes.

📊

Spreadsheet → structured database

Drag in an Excel or CSV file and get a real, typed data table — column types auto-detected, repeated values normalized into lookup tables, all previewed before you commit. No schema design, no code.

📄

Old documents → editable pages

Upload a Word, Markdown, or text file — an old protocol, result record, or manuscript — and it becomes a clean, editable notebook page you can search and build on. Not a dead PDF attachment.

🔄

Migrate from anywhere

Bring your data from another ELN, spreadsheets, documents, images, or a database — self-serve or white-glove. We migrated our own ~18-year notebook, so we know how. Data migration & services →

Not just storage — an AI research partner

From bench to publication, your AI lab assistant does the work

A notebook remembers. NextELN works. The AI Lab Assistant reads the literature, writes up your results, turns numbers into figures, and drafts your manuscript — so your team spends its time on science, discovery, and getting products out the door.

🔎

Automatic literature search

Name your topics once. Every day NextELN scans PubMed and bioRxiv/medRxiv and files new papers & preprints in your workspace — deduplicated, with DOIs, abstracts, and PDF links.

📝

Experimental-result summary

One click turns a page of raw procedure and data into a clear, editable summary at the top of your entry — the write-up is done in seconds.

📈

Figures from your data

Point the assistant at a data table and it picks the right chart and draws a publication-ready figure you drop straight into a notebook page.

📄

Manuscript writing

Give it a title and project details for a structured first draft; as results come in, pull data from your tables and pages and it grows the manuscript with you.

📊

Data → PowerPoint

Turn a data table into a results deck — the AI writes the narrative and builds charts from your real numbers, exported as an editable .pptx.

🧑‍🏫

Lab-meeting deck

Auto-summarize your recent results into a lab-meeting presentation — agenda, what's new, key charts, and next steps, ready to present.

💼

Business-development deck

Draft an investor or partner pitch deck from your product and project details — problem, solution, technology, market, and the ask.

📰

Scientific-meeting abstract

Write a structured conference abstract (Background · Methods · Results · Conclusion) grounded in your project and data — edit and submit.

🧬

Molecular-biology bench tools

Sequence viewer for DNA/RNA/plasmid maps, plus PCR primer design, restriction-site mapping, and find-a-matching-sequence across your own clones and oligos.

🧊

3D protein structure

Paste a protein sequence to fold it with ESMFold, or pull any PDB/AlphaFold structure — explore it interactively in 3D with pLDDT confidence coloring, right in your notebook.

💉

Antibody antigen design

Rank the best immunogenic peptides for raising antibodies in mice or rabbits from a protein sequence — antigenicity, surface accessibility, and flexibility scored together, with KLH/BSA conjugation guidance.

🦠

mRNA vaccine candidate design · Research preview

From a viral genome: assemble a computational candidate package for expert review, experimental planning, and preclinical validation. Predictions are not evidence of efficacy or safety.

Production, beta, research-preview, and roadmap capabilities are labelled separately. See the tool catalog and maturity status →

The design-to-experiment record

Connect prediction to measurement — and learn from the difference

NextELN keeps the computational proposal, scientist approval, experimental plan, samples, measured result, and next design round in one auditable lineage. The value is not another model output; it is evidence showing which predictions worked in your laboratory.

1

Design

Record inputs, versions, parameters, confidence, and rejected candidates.

2

Review

A scientist selects candidates and defines acceptance criteria.

3

Measure

Link expression, stability, binding, function, and failures to each design.

4

Redesign

Compare prediction with measurement and improve the next round.

For R&D teams & companies

The AI Lab Assistant turns your data into discovery

Your notebooks, clones, protocols, and results aren't just records — they're a dataset. NextELN makes your whole history searchable by meaning and queryable by AI. The built-in AI Lab Assistant — powered by Claude for Life Sciences— mines your lab's own institutional knowledge, grounding every answer in your real records so your team builds on its work instead of repeating it. Meet the AI Lab Assistant →

Ask across everything

“Which constructs expressed best in E. coli?” “What did our failed transfections have in common?” “Summarize three years of AAV yields.” Answers grounded in your data, with citations.

Shorten the discovery cycle

Stop re-running experiments someone already did. Surface prior art from your own bench, form better hypotheses faster, and make decisions on evidence — not memory.

Institutional memory that lasts

People leave; their knowledge shouldn't. Every protocol, clone, and result stays searchable and AI-accessible for the whole team, for decades.

We proved it on our own ~18-year notebook — 3,000+ pages and tens of thousands of records, now semantically searchable and AI-queryable. We can do the same with yours →

Built for the long run

AI-native from the ground up — your data structured and ready from day one

NextELN was built for the AI era from the start: your notebooks, spreadsheets, and results become structured, searchable, AI-ready knowledge the moment they land — not something you retrofit years later. We stand on the specialists who do each job best — managed Postgres companiesfor durability, Anthropic & OpenAI for AI, cloud object storage for files — and pass that pro-grade foundation straight to you. No middleman, no markup games: what you pay is what you get.

Pro-grade infrastructure, straight to you

You get the same database, storage, and AI we run — sourced from the specialists who build them. No middleman, no markup games. What you pay is exactly what you get.

Yours to keep, yours to move

Bring your own database, storage, and AI key whenever you like. Your data lives on infrastructure you can own, run by professionals — you're always in control, never locked in.

Built to outlast

Modern, professionally-run infrastructure and always-portable data mean NextELN — and your research — will still be here in ten years. A home for your lab's knowledge for the long run.

Simple, honest pricing

Free

$0

University & government scientists

  • Full ELN + inventory
  • Keyword search — always free
  • Add AI (own key or Managed AI) when you want it
  • Bring your own database when you grow
Start free

Team

Low cost

Biotech & industry labs

  • Everything in Free
  • Vector database for smart search
  • Bring your own LLM — Claude or OpenAI
  • More seats & larger files
Start free trial

Enterprise

Custom

Large biotech & CROs

  • Everything in Team
  • Your preferred LLM + private data residency
  • SSO / SAML · API · SLA
Contact us