From protocol to publication. One workspace, zero fragmentation, and an AI built for the way science actually works.
"Elsevier recognizes the potential of generative AI and AI-assisted technologies, when used responsibly, to help researchers work efficiently, gain critical insights fast and achieve better outcomes. Increasingly, these tools are helping researchers to synthesize complex literature, identify research gaps, and provide tailored support for tasks such as content organization and improving language and readability."
The only tool in the world that turns a plain language description of any scientific methodology into a live, interactive simulation. No coding required. No direct competitor exists.
Before ARIA, testing a hypothesis computationally meant hiring a bioinformatician, learning R or Python, or waiting weeks for a collaborator to run your model. Most researchers skipped it entirely and went straight to the bench, burning time and reagents on experiments that a simulation would have caught in minutes.
Describe your experiment the way you would explain it to a colleague. ARIA handles the code, the execution, and the rendering. You get a live parameter dashboard you can explore in real time.
Try the SandboxARIA was designed by a Harvard-trained scientist who lived the fragmentation problem firsthand, and a University of Waterloo software engineer who knew it could be solved. Every feature exists because one of us needed it and nothing on the market came close.
Early access researchers at leading institutions are already using ARIA to cut submission time, reduce formatting errors, and spend more time on the work that actually matters.
"ARIA cut my submission prep from a full day to under an hour. I don't know how I worked without it."
"The Sandbox alone is worth it. I ran three weeks of experiments digitally before touching a single reagent."
Five deeply integrated features that replace every fragmented tool in your research workflow. Built from scratch for scientists, by scientists.
Paste any idea, hypothesis, or research direction. ARIA surfaces the most relevant papers, synthesizes the existing literature, and drafts a structured literature review for you.
A growing body of evidence implicates mitochondrial dysfunction as a central mechanism in the early pathogenesis of Parkinson's disease, preceding overt dopaminergic neuron loss by years…
Write, edit, and refine your manuscript in a single intelligent editor. ARIA checks your grammar, adjusts your academic tone, flags uncited claims, generates figures from a prompt, and delivers structured peer review feedback before you submit anywhere.
We present a systematic evaluation of lipid nanoparticle formulations optimized for primary cell transfection efficiency across three mammalian lineages. Editing efficiency was assessed via flow cytometry and confirmed by Sanger sequencing across 847 independent clones.
The novel methodology demonstrates significant improvements over existing protocols, with transfection rates exceeding 94% in HEK293T cells and 78% in primary hepatocytes. Studies have shown that temperature affects efficiency.
Give every researcher a role. Assign projects and deadlines. Track progress across your entire lab in one place. Built natively for research workflows, not retrofitted from generic project management software.
The only tool in the world that turns a plain language description of any scientific methodology into a live, interactive simulation. No coding required. No direct competitor exists.
ARIA is trained on the submission requirements for every major journal. Select your target and ARIA reformats your entire manuscript automatically. Every change is flagged before confirming. Everything you reject reverts instantly.
A computational modeling surface for wet-lab scientists who have never written a line of code. Describe your system in plain language. Get a working simulation you can actually interrogate.
No code. No Python. No MATLAB. Type a methodology in plain language and ARIA runs the simulation in real time. Every parameter is backed by published literature.
No Python, no Jupyter, no MATLAB license. Describe the system — ARIA picks the solver, runs the model, and gives you plots you can push directly into a manuscript figure.
Enzyme kinetics, reaction networks, pharmacokinetic compartment models. Stiff ODE solvers with automatic parameter fitting.
SIR/SEIR/compartmental epidemic models, population dynamics, agent-based outbreaks. Stochastic and deterministic modes.
Power analyses, Bayesian inference, mixed-effects regression. Drop in a CSV, describe the design, get the model.
Signaling cascades, gene regulatory networks, diffusion and reaction-diffusion in 2D. Paper-ready figures by default.
3 weeks of full access, free. No credit card required.
We are finalizing our pricing model. Join the waitlist to be notified when it launches.
Early access is free. Get full access for 3 weeks with no credit card required.
Join the waitlistARIA started in two places at once. At Harvard, Agam was living the fragmentation problem from the inside. Every manuscript required hours of reformatting, every citation a scavenger hunt, every experiment an exercise in juggling disconnected tools.
At the University of Waterloo, Vienna was watching the same pattern from the engineering side: a research ecosystem built out of dozens of products that were never meant to work together, bolted on to each other with duct tape and good intentions. The two of them founded ARIA as equal partners. Agam shapes the research experience, informed by years inside academic science. Vienna architects the system that makes it possible. ARIA exists because both of them refused to accept that research had to feel like this.
Researcher at Princess Margaret Cancer Centre (UHN). Researcher at Harvard. Youngest presenter in ASCB conference history. Published his first peer-reviewed first-author paper at 17.
Software engineer and research scientist. Built the full technical architecture of ARIA from the ground up. Deep background in computational biology and research infrastructure.
ARIA is an end-to-end research operating system. Five features, deeply integrated, built specifically for the way science actually works.
Every major technological revolution has triggered a corresponding golden age of science. The steam engine gave us thermodynamics. Electrification gave us modern chemistry. Computing gave us molecular biology. AI is next — and the researchers who will define that era are already here, already working, and still using the same fragmented stack they inherited from 2005.
"Elsevier recognizes the potential of generative AI and AI-assisted technologies, when used responsibly, to help researchers work efficiently, gain critical insights fast and achieve better outcomes."
3 weeks of full access, free. No credit card required. Join the researchers at Harvard, Stanford, UofT, NYU, Waterloo, and Columbia who are already on the list.
Unlimited literature searches, structured review drafts, and paper surfacing from all major indexed journals.
Full AI manuscript editor with peer review, auto-citation, tone editing, and Google Drive export.
Unlimited simulations from plain language descriptions, interactive parameter editors, and figure exports.