For seed to Series B startups
Your team hits the next milestone
with ultraspeed.
Elnora is the AI agent for lab work, and it gives a small team more shots on goal, so your scientists reach the next scientific answer faster.
Founder ideas become analysed data and ready results with ultraspeed.
The same months hold more experimental cycles, and each one starts from what the last one showed.
What Elnora does for startups
Plain language is the whole interface.
Your scientists describe what they want to find out, and they combine their own domain expertise with the agent's intelligence, tools and capabilities.
Your knowledge base builds itself.
What Elnora writes up goes back into your knowledge base the day it is produced, and it reads that record, the runs that fell short included, before it plans the next one.
You move faster, so you need ideas faster.
Your team's ideas reach the bench the week they arrive, and the pace is set by the questions you ask.
What one scientist covers
The analysis, the automation and the QC come back together.
One ask, and the specialist work arrives in the same run.
We are seeing variability between plates on the new assay. Design the next run against what we did last month, and write it up when the numbers come back.
AGENT ACTIVITY
8Analysing your request
Searching the knowledge base(this lab's own runs)
Designing the experiment(design_experiment)
computational biologyLaying out the plate map
automationWriting the machine file(the SDK your instruments speak)
automationChecking the controls before the read
quality controlAnalysing what comes back(run_ttest)
computational biologyFiling the write-up in the knowledge base
One scientist, one conversation.
- Computational biologyThe statistics, the dose response and the figures.
- AutomationThe workflow your instruments run, in your company's SDK.
- Quality controlThe controls checked before anyone draws a conclusion.
- Your scientistThe judgement, the review and the release.
THE NEXT EXPERIMENT
A protocol this week, and your instruments run it.
Describe the goal and Elnora writes the protocol, then the workflow your instruments run. What they report back comes to Elnora, the runs that stopped early included.
See the instrument pathv1 of 1
21-Day NGN2 Cortical Neuron Differentiation
- Duration
- 21 days
- Starting material
- Human iPSCs, NGN2 inducible
- Endpoint
- MAP2 above 90% at day 14
- Day 0Seed on Matrigel1.5 × 10⁵ cells/cm²
- Day 0Induce with doxycycline2 µg/mL
- Days 1 to 3Daily full media changes
- Day 4Add Ara-C2 to 4 µM
- Days 5 to 13Half media every 2 to 3 days
- Day 14QC checkpoint, MAP2 and vGLUT1
- Days 15 to 21Continue to maturity
WHAT COMPOUNDS
Your lab's memory starts with the first run.
The protocol is the interface and your history is the advantage, so what your team learns stays when someone moves on.
How Elnora's memory worksONE ROUND
- labImprove viability of this cell line(the scientist)
- elnoraReads the lab's own record and the literature(16 kinds of source)
- elnoraDrafts 6 candidate protocols(variables, controls, replicates)
- labApproves 3(the scientist)
- labThe instruments run them(results come back)
- elnoraReads what came back, drafts the next round(narrower than the last)
WHAT IT READS
16 kinds- Protocols
- Assay results
- Runs that fell short
- Instrument exports
- Omics data
- Reagent and lot history
- Lab notebooks
- Electronic lab notebook
- LIMS
- Google Drive
- SharePoint
- OneDrive
- Internal reports
- Team chat
- Publications
- Patents
ANALYSIS
Raw exports come back as fitted curves and statistics.
Hand Elnora the instrument file and it runs the statistics, fits the curve and draws the figure.
What Elnora doesGABA-A α5 inhibitor, plate 7
Four parameter logistic fit, R squared 0.992. A Dunnett test puts the lowest observed effect level at 0.3 µM.
REPORTS AND FIGURES
The report, the deck and the figures come back written.
The report, the deck, the workbook and the figures, written from the run that happened.
What Elnora doesFROM ONE RUN
Your style profile- week-34-summaryReportWritten from the run, citing the results
- programme-reviewSlide deckEditable, figures as vector graphics
- dose-response-fig1FigureSaved under the name you choose
- plate-7-resultsWorkbookTidy data behind every number
Filed back in the knowledge base, and your scientist reviews and releases them.
DATA AND TRUST
Your science stays yours.
You decide what goes in, Elnora uses it to plan your experiments and write up the results, and your data is never used to train models.
Security and compliance
Next steps
Bring your hardest problem, and it becomes the first project.
One fixed fee covers onboarding, the knowledge-base build, workshops, engineering hours beside your team and the first year of platform access. It buys the agent, everything behind it, and the people who make it work in your lab.
- Your biggest challenge, and your teamYou pick the problem the first project is written against.
- Your initial knowledge baseBuilt from the data you already have. No need to clean it: connect Elnora to your Google Drive or OneDrive and your electronic lab notebook.
- Your team goes AI nativeWorkshops, forward-deployed engineering hours and hands-on integrations, so your team gets the most out of the agent and the challenge is solved.
Questions about Elnora for startups with their own lab
How can a small lab run more experiments with the team it already has?
Elnora takes the design, the literature and the analysis, so your team gets more cycles and your scientists stay free to do science.
Do scientists need to know how to code to use an AI research agent?
Plain language is all it takes, and Elnora comes back with the files.
How do I get years of lab data into something an AI agent can use?
Share the files as they are and connect them to the knowledge base. Elnora reads many different file formats natively.
Could our own engineer build an AI lab agent in a weekend?
Oh that would be cool, would it not? Though is this really what you want your team working on, or would you prefer them focused on the science? Let us do what we do best.
Is an AI lab agent only for biology?
Elnora covers very different sciences, from biology to chemistry, materials and electrochemistry. As long as you have a lab and you are running experiments on lab hardware, we are perfect for each other.
Will an AI vendor train models on my experimental data or take a stake in my IP?
Your IP is yours. Elnora takes no stake in it, trains nothing on your experimental data, and the model providers are barred too. Your data stays apart from other organisations'.