NightingaleLive on a Gilead-funded oncology study at Emory University
Every value in a trial, perfect the moment it exists.
Nightingale checks and cleans trial data at the source, so it lands in your EDC analysis-ready, with an audit trail on every value.
A large Phase III trial, from first patient in to database lock.
Published industry figures. See sources at the bottom of the page.
Working with
Trial data is still typed in by hand, then cleaned up months later.
A late trial costs the sponsor money. It also costs the people in it, and the people waiting behind them, time they may not have. Finishing sooner is the point of all of this.
One layer from every source to your EDC.
Nightingale sits between every data source and the EDC your study already runs. Sites keep their existing workflow.
Check the rulebook
Study documents checked before enrollment
Inventory
Existing records put to use
Find the gap
Exactly what still needs collecting
Run the data
Mapped, converted, checked, delivered
Watch it daily
Early warning on sites and endpoints
Prove every step
An audit trail on every value
For biopharma, CROs and site networks.
A database that locks weeks sooner.
- Works with the EDC you run
- Nothing new for your sites
- Early warnings while there is time
- Storage stays with you
Modern data management, your brand.
- White-labeled by default
- You own the client and the price
- No FTEs, no platform fee
- Win real-time and wearable bids
Clean, consistent data across every site.
- Fewer queries for coordinators
- Less manual transcription
- Nothing new to learn or log into
- Renewals backed by cleaner data
Expected impact on a study.
Query, labor and error figures are design targets from an illustrative large Phase III model, being validated on active studies. Deployment times are from live deployments.
What a late database lock costs.
Plus about in revenue not yet earned while the product waits to reach market.
Uses $55,716 direct cost per day of delay and ~12 hours a week per data manager at ~$70 an hour on queries and data cleanup. Revenue uses ~$500,000 per day. Illustrative; sources below.
Compliance and security.
SOC 2 Type II audit underway. Full controls, policies and documentation are available in our Trust Center.
Common questions.
Do we have to replace our EDC?
No. Nightingale is not a database. It delivers into whichever EDC the study already runs, including Medidata Rave, Veeva Vault, Oracle Clinical, REDCap and Castor, in exactly the format you specify.
Do our sites have to change anything?
No. Sites are never asked to do anything new and never become a customer. Their re-keying workload goes down.
Is AI making decisions about our data?
No. AI reads documents, notes and scans and proposes a value. Every value is then checked against inspectable rules, and the pipeline that maps, converts and delivers data contains no LLM. The same input always gives the same output.
How do we know it works on our studies?
Start with one. We baseline a comparable trial you have run, deploy Nightingale alongside on one study, and compare query volume, first-pass resolution and lock date before you commit a portfolio.
How is it priced?
On the inputs you already know: patients, data sources, phase and duration, so every quote is reproducible. For CRO partners, we quote a partner rate and you set the price.
Run your next study on Nightingale.
Twenty minutes is enough to tell whether the fit and timing are right.
Pick a time for an intro call.
Open scheduling page