what is feasibility as a service (faas)?
Most feasibility work produces a country list.
Not a decision.
Traditional feasibility takes 4–8 weeks and still stops at the surface. The gaps show up after selection: sites that activate slowly, regulatory timelines that run long, competing trials already recruiting your patients.
That's the gap FaaS is built for
Send us your protocol. We run the full Hyvv engine on your behalf and return a structured feasibility intelligence report in 7 working days. No licence. No integration. No internal capacity required.
process
How it works
DAY 0
Scoping call
NDA signed. We walk through your protocol, confirm geography, patient target, and any known constraints. You leave with a clear brief and a confirmed start date.
DAY 1-2
Analysis begins
The Hyvv engine runs against your brief. Data is pulled, structured, and cross-referenced across all Hyvv sources. No manual desk review, platform-generated from the first run.
DAY 3-5
Review & quality check
Outputs are reviewed for accuracy, completeness, and clinical coherence. Scoring weights are validated against your indication. Gaps or edge cases are flagged and resolved before the report is assembled.
DAY 6
Report Compiled
All sections are assembled into a single structured deliverable. Country recommendations, site shortlist, enrollment model, and risk matrix are cross-checked for consistency before handoff.
DAY 7
Report delivered
The full Feasibility Intelligence Report is delivered with a walkthrough call. You leave with a document you can act on, interrogate, and share internally.
What's Included
Six analytical sections.
Three synthesis outputs.
The report follows a structured sequence, starting with where the patients are, working through the competitive and regulatory environment, and converging on a ranked site shortlist with enrollment projections and risk flags.
01
Patient epidemiology
Global disease burden by country. New cases per year, age-standardised incidence rates, M/I ratios, registry data quality. 223 countries with data.
04
02
Competing trial landscape
Active competitor activity by country. Crowding pressure, recruitment risk, direct match analysis by MeSH classification, open vs. crowded markets.
05
03
Drug & treatment landscape
Competing trials clustered by mechanism of action. Direct, adjacent, and indirect competition mapped across 7 mechanism clusters.
Site intelligence
Site-level analysis across your target markets: indication match, PI capacity, activation history, current trial load, and equipment profile.
PI workload & availability
Investigator availability by country. Active PIs, experience depth, H-index, trial history, and high/low availability markets scored.
Approval timelines, startup times, parallel review, success rates, and termination rates by country. Regulatory maturity and fast-track eligibility.
Regulatory environment
06
Site intelligence
Site-level analysis across your target markets: indication match, PI capacity, activation history, current trial load, and equipment profile.
PI workload & availability
Investigator availability by country. Active PIs, experience depth, H-index, trial history, and high/low availability markets scored.
06
Regulatory environment
Approval timelines, startup times, parallel review, success rates, and termination rates by country. Regulatory maturity and fast-track eligibility.
Why FaaS
The intelligence your site decision should be based on.
01 Speed
7 days, not 6 weeks
Traditional feasibility takes 4–8 weeks and produces a country list that's more opinion than data. FaaS runs the same analysis in 7 days because it's platform-generated, not a manual desk review.
Your analysis. Your call.
02 Ownership
Feasibility decisions carry real accountability. FaaS gives you a structured intelligence layer you own outright. One that sits alongside any external input, sharpens your brief going into a bid process, and gives you the confidence to make the decision yourself.
03 Commitment
See the output before the license.
No integration. No onboarding. No platform contract. FaaS is how most Hyvv customers see what the platform actually produces before they decide whether to bring it in-house.