For model and tool providers
Your model beats the frontier on its task
and scientists want to use it.
Elnora is the AI agent that plans experiments, writes protocols and analyses results, and it calls your model or your tool for the science it does best, so what you built reaches scientists at the bench.
An idea becomes an experiment, and your model shapes it.
A scientist has an idea. Elnora plans the experiment, writes the protocol and analyses the results, and your model does the part it is best at.
Elnora is the harness: it chains models, an isolated sandbox, scientific tools, integrations and the lab's knowledge base into one agent a scientist talks to. It runs on models built by others, and we would happily bring yours onto the platform, adding to what Elnora can do so scientists can create anything they imagine.
What Elnora does for model and tool providers
Your model is the specialist Elnora reaches for.
Elnora calls your model as a tool to analyse data, design molecules, read images, plan a synthesis, or whatever your model does best.
Elnora builds the harness, you build the model.
Elnora trains no models. Your team builds and trains the model or the tool, and Elnora builds the harness that puts it to work in a lab.
Your customers and Elnora's are the same labs.
You bring the model, Elnora brings the harness, and the science your shared customers do by combining the two is out of this world, sometimes literally.
THE ROUTE
Elnora routes the job, and your model takes its step.
Elnora reads the target and the lab's own records, picks the tool for each step, and calls your model where the job is yours.
What Elnora doesAGENT ACTIVITY
6Analysing your request
Loading skills
Reading the target(UniProt, RCSB PDB)
Searching the knowledge base(this team's own assays)
Choosingyour_modelfor this step(matched on the written skill)
Delegating to the data-analyst subagent
DATA-ANALYST SUBAGENT
4Parsing the structures(RDKit)
Callingyour_model(over HTTPS)
Filtering the survivors(medchem)
Ranking the shortlist(python_execute)
THE HARNESS
Your prediction becomes an experiment someone runs.
Elnora turns the answer into a protocol, designs the plate map and writes the machine file, and the instrument runs it once a scientist confirms the deck.
See the instrument pathYOUR MODEL ANSWERS
your_modelreturns the shortlist it was built to rank.
ELNORA TAKES IT TO THE BENCH
8Designing the experiment(design_experiment)
Writing the protocol(materials, volumes, timings)
Laying out the plate map
Writing the machine file(UniteLabs SDK)
Waiting for a scientist to confirm the deck
Running on the instrument(Hamilton Microlab STAR)
Analysing what comes back(run_ttest)
Filing the result in the knowledge base
DATA AND TRUST
We love your models.
We love using your models, and we do not allow customer data to be used for model training. If you are cool with that, connect with us today.
Security and compliance
The integration
Bring your key, and Elnora does the wiring.
Elnora's engineers do the wiring, and your team supplies the documentation and a key.
- You host the endpointA REST or OpenAI-compatible endpoint you host and price under your own terms, called over HTTPS.
- We wrap it as a toolElnora's engineers wrap the endpoint as a tool, so Elnora calls your model the same way it calls everything else.
- We write the skill that calls itA written skill tells Elnora which jobs your model is best at, so it gets called on those jobs.
- We switch it on for your customersThe tool is switched on for the customers you and Elnora agree on, and your key is held server-side.
Questions about Elnora for model and tool providers
How do I get my AI model or scientific software used by scientists at the bench?
Elnora wraps your hosted endpoint as a tool it can call, and a documented API or an MCP server takes the same route, so a scientist meets it while planning a run or reading what came back.
Will an AI platform I partner with end up building a competing model?
Elnora builds the harness around models built by others: the memory, the isolated sandbox, the tools, the integrations and the knowledge base. The science it runs on comes from the companies that build models and tools.
Do I have to hand over my model weights to integrate with an AI platform?
Your weights stay where they are. Elnora reaches an endpoint you host, over HTTPS, and your team keeps the model and the terms it is served under.
Do scientists see which model produced an answer?
Elnora names each step as it runs and the whole run can be read back afterwards, so a scientist sees the point where your model answered.
How does an AI agent decide which model to use for a task?
Elnora routes each task to the model that fits it, balancing cost, speed and quality. Hard reasoning goes to a large model, routine turns to a small fast one, and the work a specialist wins goes to the specialist.
What licence does a platform need to serve my model to its customers?
Elnora needs a commercial licence to serve your model's output to its paying customers.