Run the entire research operation
— grants to compliance — in one platform.
Research Platform manages proposals, papers, experiments, data, supplies, and compliance for research-intensive institutions. The PI manages the lab through their personal assistant. The team works through the web interface. Every project gets its own specialist agent.
Interactive UI demo — mock data, no login, nothing you enter is saved.
Your lab runs on spreadsheets and institutional memory.
Grants are tracked in someone's head. Papers are versioned by filename. Data lives on three different hard drives. Protocols go stale the day they're printed. And when a researcher leaves, the knowledge walks out the door.
Two ways in. One platform.
Different users, different needs — same platform. The PI gets the high-level view. The team gets the operational detail.
Manage the lab through your personal assistant
The assistant handles scheduling, tasks, communications, and oversight. The PI focuses on the science.
- "What's the status of Project Alpha?"
- "Schedule the IRB review."
- "Draft a proposal for the NIH R01."
Work through the web interface
Structured data and operations live here — the day-to-day of running the lab.
- Experiment logging for protocols, procedures, and results
- Standardized data collection with provenance tracking
- Supply management: inventory, ordering, vendors
- IRB forms, safety protocols, approval workflows
- Dashboards for status, budgets, timelines, and milestones
See the platform.
Nine views of the research web interface — from lab-wide status down to a single project's workspace.
Want to click around yourself?
Open the live UI demoInteractive UI demo — mock data, no login, nothing you enter is saved. It shows the interface; it is not a working sandbox.
Grants to compliance. One platform.
Six domains that usually live in five different tools, a shared knowledge base, and a specialist for every project.
Proposals
A proposal writer that understands the requirements, structures the proposal, and produces submission-ready documents. Grants, RFPs, funding applications.
Papers
Drafts, co-author collaboration, review cycles, submission tracking, publication status. The assistant manages the timeline; the platform manages the content.
Experiments
Protocols, logging, results. Structured records linked to the data they produced, the supplies they consumed, and the compliance they followed.
Data
Structured storage with provenance. Where it came from, how it was collected, what produced it, who touched it. Shared within and across teams with access controls.
Supplies
Inventory tracking, ordering, vendor management, cost tracking. Know what you have, know what you need, know what it costs.
Compliance
IRB approvals, safety protocols, audit trails, regulatory requirements. The compliance record stays with the project from start to finish.
Every project gets a dedicated specialist.
Not a general-purpose chatbot that helps with whatever you ask. A specialist — exclusively assigned to that one project, with intense domain knowledge of its protocols, data, literature, compliance requirements, timeline, and milestones.
It helps with data analysis within the project, literature review, protocol drafting, results interpretation, and progress tracking. It's the project's resident expert — available to the research team through the web interface and to the PI through their assistant.
The specialist and the PI's assistant talk to each other. The assistant manages the lab. The specialist manages the project. The PI gets the benefit of both without having to coordinate between them.
Lab scope
The assistant answers for the whole lab: schedules, tasks, inventory, oversight.
Project scope
The specialist answers for its project only: protocols, data, literature, milestones.
They talk to each other
One conversation for the PI — the two agents coordinate behind it.
When the project closes, the knowledge stays.
When a research project is closed out and shut down, the Research Library stays behind. Everything the project produced — papers, data, experiments, proposals, findings, compliance records — gets archived in the library.
Searchable. Discoverable. Accessible to future researchers and future projects. Institutional knowledge doesn't walk out the door when a researcher leaves, and it doesn't get forgotten when the lab moves on to the next project.
The library grows with every project. The more research you do, the more valuable it becomes — patterns from old projects inform new ones.
Archived at closeout
Papers, data, experiments, proposals, findings, compliance records.
Searchable and discoverable
Future projects can find and build on prior work.
Outlasts the team
Knowledge stays when researchers leave.
Built for everyone in the research organization.
Four roles, one platform — each gets the part of it they actually need.
PIs
Your assistant gains a Grant Writer, a Protocol Writer, and an Academic Researcher. Your research data becomes a knowledge base it can access.
Lab managers
Inventory, procurement, compliance, scheduling — all in one platform. Budget tracking per grant.
Researchers
Each project gets its own workspace. Persistent chat. Specialized tools. Context-scoped to just your project.
Research administration
Audit trails, compliance monitoring, budget tracking — connected to the intelligence layer your researchers already use.
Deployed like an institution expects.
Origami Enterprise customers don't buy products — they buy a deployment. Every product connects to the customer's SDO instance, on the infrastructure where their data lives.
Data Residency host
SDO installs on your Data Residency host — the infrastructure where your data lives. Every product, Research Platform included, connects back to that instance.
Dedicated model inference
Not shared compute. Not multi-tenant. Your models, running on your infrastructure, processing your own data — one compute pool across all products.
Data domains
Logical barriers between datasets at your request — same platform, same deployment, strict boundaries between groups, programs, or sponsors.
Governance at the product level
Role-based access and approval workflows, audit trails and versioning, IRB and IACUC protocol workflows, compliance monitoring.
Your research data is part of your institutional intelligence.
Each project specialist implements small-scale SDO within the project — its own mini-tesseract: structured data, intelligence, analysis. The specialist works inside the project without needing to go to central SDO.
Nothing flows up automatically. The PI decides what's ready to share — what findings, what data, what results are mature enough to contribute to the organization's intelligence layer.
When the PI shares, the data enters the full instance and cross-project, cross-domain patterns become possible across labs and departments. Control stays with the PI: sensitive research stays in the project until the PI is ready.
In the project by default
Each project runs its own intelligence internally.
The PI approves sharing
Findings move up when the PI says they're mature.
Cross-project patterns
Shared intelligence across labs — when you're ready.
Built with real researchers, for real researchers.
Developed with an independent panel of elite scientists across medicine, data science, and theoretical physics — including four principal investigators.
One platform instead of five point tools.
Most labs assemble a stack out of pieces that were never designed to talk to each other.
| Tool | What it covers | What it misses |
|---|---|---|
| Benchling | ELN + LIMS | Experiments only — not grants, papers, or supplies |
| Zotero | Citation management | Citations only — not the paper workflow |
| REDCap | Data capture | Data only — not lab management |
| Spreadsheets + institutional memory | Everything | Slow, error-prone, not searchable |
| Research Platform | All six domains | Connects to your assistant, adds a specialist per project, gives every project a workspace |
Questions institutions ask.
What does it replace?
How do the PI and the team use it differently?
Does research data leave the project?
Does it work with tools we already use?
What happens to data when a project ends?
How is it licensed?
Ready to see it on your research?
Tell us about your institution. We'll get back to you within one business day.