AI that runs your biotech’s business operations.
ribo.bio maps how your company works across contracts, filings, trial data, and SOPs, then automates the finance, compliance, and operational work around the science.
Bringing pharma, finance and tech backgrounds together.
Pharma was built for scarcity.It has an abundance problem.
For a century the industry's constraint was the molecule. Few candidates, years between them, each one precious enough to justify whatever it took to move it. AI-driven discovery has inverted that. Promising compounds now arrive faster than the apparatus around them can absorb.
That apparatus has not moved. A trial site is still negotiated one at a time. A submission is still assembled by hand. The constraint has left the bench and settled into the paperwork, and it needs an orchestration layer running at the speed discovery now runs at.
How ribo.bio works.
We learn how you already work and plug into the systems you already run, until there is a working model of your company, your drug and your pipeline.
We do not touch research. We run the admin around it.
Everything on this grid except research and discovery is the admin shell a biotech has to carry to keep a molecule moving. Open a department to see the work inside it.
Research and discovery
Stays human, and stays yours. We do not touch discovery, molecule design or the decision to run a trial. That is the work you exist to do.
Finance and accounting
Closes the books on what happened, not on what a vendor estimated.
Procurement and vendor management
Runs the bid, reads the change order, holds the supplier to the signed scope.
Legal and contracts
Redlines the same six clauses, and never misses a reversion date.
Intellectual property administration
Holds the docket and the annuity calendar across fifty jurisdictions.
Clinical operations
Reconciles investigator payments against the visits that actually happened.
Regulatory affairs
Tracks every promise made to a health authority, and the date it comes due.
Quality
Keeps SOPs, CAPAs and training records inspection-ready year round.
CMC and supply chain
Books the slot, and checks the CoA against what was ordered and paid for.
Pharmacovigilance
Runs the clocks: seven day, fifteen day, and the weekly literature screen.
Program and portfolio management
Reprices the timeline against runway the day enrollment slips.
Corporate, IR and business development
Keeps the data room assembled, because it is your contract graph reformatted.
Healthcare compliance
Reports every transfer of value, and screens every name before it is paid.
People and IT
Assigns the training, reviews the access, keeps the record for twenty-five years.
Start with one workflow.Go live in as little as a week.
We learn how the work runs today, build the first workflow with your team, and improve it together as ribo.bio takes on more.
Choose one workflow
We map the steps, owners, systems, and exceptions with the team that runs it.
Build the knowledge layer
ribo.bio learns the contracts, records, rules, and context the workflow depends on.
Connect your team
We work with the people who run it and integrate with the systems they already use.
Go live with oversight
Agents run the workflow while your team reviews decisions, exceptions, and actions.
Improve and expand
We refine it together, then add new work as ribo.bio learns how the company operates.
FAQ
Common questions
what is ribo.bio?
ribo.bio is building the operating system for everything a biotech does other than the science. it connects the company’s operating context, then gives agents the ability to run repeatable work with evidence and human oversight.
what does ribo.bio look like?
your team does not need another dashboard. there is no new interface to adopt — it is an agentic system that works in the channels and systems you already run, so the work lands where your team already is.
does ribo.bio replace our team?
no. the system is designed to remove repetitive checking, chasing, reconciliation, and preparation — not judgement, accountability, or scientific direction.
how do agents avoid making things up?
important outputs remain tied to the evidence and rules that produced them. when the record is incomplete or conflicting, the agent surfaces the uncertainty and asks for a decision instead of guessing.
do we need to replace our existing systems?
no. ribo.bio is intended to become the operating layer across the systems a company already uses. a new integration is justified only when it makes the loop more complete or removes a real manual step.
what happens as the company changes?
the operating model changes with it. new programs, vendors, rules, exceptions, and workflows become context for the next capability rather than another isolated implementation.
why start with operations instead of discovery?
because scientists should spend their time on the science. the work around it is essential, recurring, and increasingly suited to systems that can connect evidence, follow rules, and escalate judgement.
Give the week back to the science.
we’ll map one recurring process and tell you where the evidence is already strong enough for an agent to act.