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Services · InovaMine

Your dataset.
Your SAP.
Traceable results.

Turn clinical trial and real-world data into dynamic tables, figures and listings. Build subcohorts, answer questions in real time and trace results back to source. InovaMine executes your statistical analysis plan (SAP), with automated testing throughout and statistician review before outputs are released.

INOVAMINE · OUTPUTS
Table 1Baseline characteristics
Table 2Endpoints and effect estimates
Every cellSAP line → cohort rule → source record
Expert review built inA statistician reviews and signs off.

Illustrative output view

HoursTo run an SAP on a known data source
≤ 5 daysTo reviewed, quality-checked tables, listings and figures
1–2 weeksTo onboard a new data source

How it works

From source data to traceable results.

Two common data models, thousands of automated tests, and a line from every number back to the patient.

Swipe or scroll sideways to explore the diagram.Open the full-size diagram ↗
InovaMine workflow: interventional trial data passes through the High-Fidelity pipeline and CDM; real-world data passes through the Market-Wide pipeline and CDM. Both feed the InovaMine engine with an SAP or cohort request to produce traceable, reviewed tables and figures in a secure web platform.

From analysis to answers

Ask the next question.
Explore the next subcohort.

Work with dynamic tables, figures and listings in a secure web platform. Once your data is mapped and tested, build subcohorts and answer follow-up questions in real time.

Automation with expert judgement

Biostatisticians and epidemiologists focus on the design, estimand choices and interpretation. A statistician reviews and signs off before outputs are released.

  • Dynamic tables, figures and listings

    Explore baseline characteristics, endpoints, effect estimates and subgroups through dynamic outputs connected to your analysis.

  • Build and explore subcohorts

    Build subcohorts by treatment, clinical code, setting, age, sex, site or time window. Refine your questions and explore answers in real time. Use patient journeys to understand inclusion.

  • A clear line to the source

    Open a table cell to inspect the underlying rows, with access controls and audit logs supporting review.

  • Connected to the next deliverable

    Reviewed results can feed Falcon workflows for a clinical study report, manuscript or briefing document.

Put your next analysis in motion.

Tell us about your data source and the question you need to answer. We’ll scope the analysis, onboarding and review.

Discuss your dataset