Not a chat.
A complete research laboratory.
One workspace where your team simulates, optimises, visualises and verifies, with the SynapseX model family doing the lab work beside you. Built for labs, universities and enterprise R&D in ten research and industry segments. Free to enter, pay only for what you run, and every result comes back as a sealed record someone else can re-verify.
Four reasons R&D teams
move their work into Labs.
Defend every result. Start free and keep spend under control. Put AI to work in the laboratory. Keep your research yours.
Results you can defend
- Every run is sealed into a reproducible record
- Seeds, parameters and results travel with it, ready to cite
- Reviewers and partners re-verify it offline
Start free, pay as you go
- Free simulators, exact to 24 qubits, at 0 credits
- An estimate before every paid run
- Prepaid credits at US$0.01; nothing runs unfunded
AI that works in the lab
- Describe the work in plain language; the models plan and run it
- Agents that read and write the code with you
- Evidence cited, not asserted
Your data, your organisation
- Versioned datasets, verified on arrival
- Jobs, data and results scoped to your tenant
- No training on your research without an explicit, revocable opt-in
One laboratory,
ten kinds of research.
Pick your field. Each panel shows what your team gets, how a study goes from idea to a sealed result, the requests you can make on the first day, and where to go next.
Pharma & Biotech
See your molecules and proteins in 3D, keep every analysis in one project, and hand reviewers a record they can verify.
- Molecules and proteins in 3D from structure text, in the browser
- A persistent project per programme: structures, notes and runs together
- Every analysis sealed and reproducible, for internal review and for partners
- Your data stays inside your organisation
Paste or upload a structure. It lands in your project, versioned.
Rotate, highlight and annotate the molecule in 3D.
Each view and analysis is sealed into a reproducible record.
Give reviewers the record; they re-verify it offline.
“Render this protein from its PDB text and mark the binding pocket.”
“Keep this structure and the notes in the oncology project as a sealed record.”
“Compare these two ligands side by side in 3D.”
1 / 3Genomics
An AI agent that gathers and cites the public evidence for a variant, inside a workspace you control. Research use only.
- SynapseX Genome: the agent assembles the public evidence for a locus and cites every source
- Versioned datasets, verified on arrival
- Analyses run in your workspace and are sealed
- Research use only; not a clinical device
Name a variant or a locus in plain language.
The agent collects public evidence and cites each source.
Run the analysis on your own data in your workspace.
The result is sealed with its sources and parameters.
“Gather the public evidence for this variant and cite every source.”
“Run the analysis on my cohort file in my workspace and seal it.”
“Summarise what is known about this locus for a lab meeting, with references.”
1 / 3Chemistry & Materials
Crystals and molecules in 3D, small quantum experiments on free simulators, and a sealed record of each study for your materials programme.
- Crystals and molecules in 3D from structure text
- Quantum circuits on free simulators, exact to 24 qubits
- Studies kept per project, sealed and reproducible
- Your formulations and data stay in your tenant
Paste a crystal or molecule as structure text.
Inspect the lattice in 3D and annotate what matters.
Run a small quantum circuit on the free simulator.
Both runs are sealed into one reproducible study.
“Render this cathode crystal from its CIF text.”
“Test a 12-qubit circuit on the free simulator and seal the run.”
“Keep the crystal, the circuit and my notes together as one study.”
1 / 3Engineering, Aerospace & Manufacturing
Your own models, optimised in the browser: integrate equations, run design studies, and keep every result ready for a design review.
- Integrate your own differential equations in the workspace
- Bayesian optimisation studies over your design parameters
- Teaching-scale fluid and wave sandboxes to explore an idea quickly
- Every study sealed, ready for a design review
Write the equations of your system, or bring the code.
Run a Bayesian optimisation over the parameters you choose.
Plot the best designs and the trade-offs.
The study is sealed with seeds and parameters.
“Integrate this ODE model of my damper and plot the response.”
“Run a Bayesian optimisation over two parameters and show the best design.”
“Keep this study with the parameters so the team can re-run it.”
1 / 3Universities & Public Labs
A reproducible research workbench for groups and courses: notebooks, free simulators, and results students and reviewers can re-run.
- Notebooks and a persistent workspace per group
- Free CPU simulators at 0 credits, exact to 24 qubits
- Sealed run records that can be cited and re-verified offline
- A shared project for a course or a thesis
Open a project for the group, the course or the thesis.
Reproduce a figure or run a new experiment on the free simulator.
Each run is sealed with its seed and parameters.
Cite the record; anyone can re-verify it.
“Reproduce this figure from the paper on the free simulator.”
“Give me a record my students can re-run next semester.”
“Set up a project for the course with one notebook per exercise.”
1 / 3Physics & Quantum R&D
Run quantum experiments on free simulators, exact to 24 qubits, with an estimate before any spend and a sealed record of every run.
- Quantum circuits on free simulators, exact to 24 qubits
- OpenQASM in; counts and a sealed record out
- An estimate before every paid run
- Experiments kept per project and reproducible
Describe the circuit, or paste OpenQASM.
See the size and the cost before anything runs.
Execute on the free simulator, with the seed you choose.
Counts and parameters are sealed into one record.
“Simulate this 20-qubit GHZ circuit with two seeds and compare the distributions.”
“Estimate this circuit before running it.”
“Seal both runs and keep them in the entanglement project.”
1 / 3Semiconductors & Quantum Hardware
Error-correction studies, device-topology comparison and a wafer-reactor panel for teams that build the hardware itself.
- Error-correction Monte Carlo studies
- Device-topology comparison for quantum hardware teams
- A reduced-order wafer-reactor panel
- Studies sealed and scoped to your organisation
Choose the code, the error rates or the device layout.
Execute the Monte Carlo or the comparison in the workspace.
Put topologies and rates side by side.
Every study is sealed and stays in your tenant.
“Run a surface-code Monte Carlo at three physical error rates.”
“Compare these two device topologies for our next chip.”
“Scan the wafer-reactor panel over temperature and flow.”
1 / 3Energy
Plasma-equilibrium scans and optimisation studies, kept inside your organisation and sealed for the next review.
- A reduced-order plasma-equilibrium panel
- Bayesian optimisation studies over your parameters
- Studies kept inside your organisation's tenant
- Every scan sealed and reproducible
Choose the parameters of the scan.
Run the equilibrium panel across the range.
Let Bayesian optimisation search the space.
The study is sealed and stays in your tenant.
“Scan the plasma-equilibrium panel over elongation and plasma current.”
“Optimise these three parameters and show the best point found.”
“Save the scan as a sealed study for the review.”
1 / 3Supercomputing Centres
Plan runs before they touch your allocation: estimate, stage and decide what deserves the queue.
- Run planning: estimate and stage a run before it is submitted
- The cheapest option first, so the allocation goes to what needs it
- Plans kept per project and sealed
- One workspace for the centre's users
Name the sweep or the job you have in mind.
See its size and what it would cost before anything runs.
Decide what runs on CPU first and what deserves the queue.
The plan is sealed and shared with the project.
“Plan this parameter sweep for our allocation.”
“What should run on CPU first, and what is worth the queue?”
“Stage the plan and keep it in the project.”
1 / 3Software & AI Agent Developers
Give your agents a laboratory: the same engine, models and datasets your scientists use, reachable from your own code.
- Your scripts and agents can run experiments and fetch sealed evidence
- Streaming completions and workspace keys on the API platform
- One prepaid wallet for everything
- Datasets and results stay in your organisation
Point your agent or script at the laboratory.
Submit experiments and stream the results.
Fetch the sealed evidence for every run.
Build the product on top, with one wallet to bill.
“Connect my agent to the laboratory and list what it can run.”
“Submit this experiment from my script and fetch the evidence.”
“Set up a workspace key for the team and one wallet.”
1 / 3Bring your data.
The models do the lab work.
Describe the work in plain language. The SynapseX model family plans it, runs it in your workspace and cites its evidence. Your datasets stay yours: versioned, verified on arrival, and never used for training without your explicit, revocable opt-in.
Molecules, proteins and crystals
Paste or upload structure text and see it in 3D in the browser. Annotate, compare and keep each view in the project.
“Render this protein and mark the binding pocket.”
Parameters and your own models
Bring measurements, parameters or the equations of your system. Run optimisation studies and sandboxes over them, and plot the result.
“Optimise these two parameters and show the best design.”
Genomic variants and loci
Name a variant and SynapseX Genome gathers the public evidence and cites every source. Research use only.
“Gather the evidence for this variant, with references.”
Quantum circuits
Describe a circuit or paste OpenQASM. It runs on the free simulator, exact to 24 qubits, and the counts come back sealed.
“Simulate this circuit with two seeds and compare.”
Your own datasets
Upload a dataset and it is versioned and verified on arrival; re-uploading creates a new version, and every run points at the bytes it used. It stays in your organisation.
“Run the analysis on my dataset and seal the result.”
- 01PlanTurn a question in plain language into the steps of a study.
- 02RunExecute each step in your workspace: simulators, sandboxes, viewers.
- 03CiteAssemble public evidence and cite every source it used.
- 04CodeRead and write the notebook code with you.
- 05SealHand back a reproducible record of what ran.
- Datasets versioned and verified on arrival
- Jobs, data and results scoped to your organisation
- No training on your research without an explicit, revocable opt-in
Start free.
Pay only for what you run.
Labs is free to enter and the simulators cost 0 credits. Paid work uses prepaid credits: you see the estimate first, approve it, and pay for actual usage. No subscription to begin, no surprise bills.
Free to enter
Open your laboratory and run the first sealed experiment today. Exact quantum simulation to 24 qubits at 0 credits, with the sandboxes and 3D viewers included.
Estimate before you spend
Every paid run shows its estimate first. You approve it, the credits are reserved, and you pay for what actually ran. When the wallet is empty, nothing runs unfunded.
One wallet for the team
Prepaid credits at US$0.01 each, shared across your organisation's projects, agents and users, with an append-only ledger you can audit.
One credit is US$0.01. Simulators cost 0 credits; paid runs show their estimate before they start.
SynapseX Labs, answered.
Your laboratory is
one click away.
Enter Labs and run your first experiment on the free simulators today, or tell us your field and the problem you want to test and we will set up a demo on your own case.
Or write to sales@softquantus.com.