Spend less time maintaining your forecast and more time acting on it.
Manage runway and allocate capital with confidence, backed by a study forecast that updates automatically as trials progress, protocols shift, and change orders roll in.
Stay ahead of change, plan ahead for what's next
Better visibility into cash needs – with fewer surprises
Always have a clear picture of cash needs across your R&D programs - with early awareness of potential deviations so you're never caught off guard.
Granular detail, clearer answers
Forecast with detail down to the vendor, activity, or line-item level. That way, you can explain any variance and not just report it.
Streamlined cross-functional collaboration
Free up clinical operations by giving finance their own view into the trial data, so finance can answer their own questions and loop clinical ops in only when it counts.
Built for the complexity of clinical trial forecasting
Powerful forecasting capabilities, built around how clinical trials actually work.
Fully configurable forecasts
Quickly set forecasts at a high level or drill into vendor and activity-level detail to capture additional nuance – with your forecast recalibrating each time actuals are booked.
Dynamic clinical drivers
Build your forecast around enrollment curves, site activation, and timeline milestones.
Change order management
Upload a change order and watch the impact cascade across your forecast instantly.
Scenario modeling
Model and compare the impact of enrollment changes or shifts to timeline on your CRO budget.
Investigator grant forecasting
Forecast investigator costs using your own contracted costs, protocols, and trial progress.
Variance analysis
Identify and analyze budget vs. actuals variance, automatically.
White glove support from a world-class team
A team with you, from forecast setup to every twist your trial takes
When you buy Auxilius you buy more than software. Every Auxilius customer receives dedicated support from our 20-person operations team that includes clinical data specialists and clinical trial veterans that are committed to your success – all out of the box.
- Dedicated lead to oversee forecast configuration and provide guidance over the course of your trial
- Data analysts to support data mapping, ingestion, and QA
- Unlimited help desk support and access to Auxilius training library with 90+ user guides
Governance
Frequently Asked Questions
Completely flexible. Every activity can be forecasted by whatever methodology fits it best: By timeline, patient enrollment curve, site activation curve, or a custom curve for milestone-based costs. It's the same level of control you'd build manually, minus the manual updates and rebuilds every time something changes.
Auxilius doesn't replace your planning tool, it complements it. Industry-agnostic tools like Anaplan and Adaptive operate at the corporate level and aren't built to manage the complexity and variability of clinical trial spend: Things like enrollment curves, site activation curves, and change orders. Auxilius handles that clinical-level forecasting and exports the result into your planning tool as a single line item, so your corporate process stays intact.
Your Auxilius forecast is built to support any level of granularity, down to the activity, site, and patient level. You can compare your current forecast against the vendor estimate and past periods for any line item, so if something like site monitoring spikes, you can see exactly what's behind it instead of just an aggregate number.
With our change order and protocol amendment tools, your forecast can stay current with your trial changes. Simply upload change orders and protocol amendments to be modeled in the system, review proposed changes to the model, and accept. Placeholder budgets can also be added for anticipated change orders that haven't been approved yet.
With the Auxilius scenario builder tool, you can model and compare what-if scenarios separately from your forecast to see how changes to your trial could impact your forecast. Scenarios like shifting trial timelines and increased patient enrollment can be easily modeled and compared without touching your forecast.
Instead of relying on your CRO's high-level estimate, Auxilius lets you forecast investigator spend patient by patient, using your site contracts, protocol schedule, and EDC data. Already-enrolled patients are projected off their remaining visits; future patients can be modeled with averages or regional data.
We've found that since finance teams now have their own view of trial progress, they can come to ClinOps teams asking for clarification of the data they're seeing in Auxilius instead of a full recap of what has happened in their trial.
Discover a new approach to clinical trial financial management
