Life Sciences

Maximize drug pipeline potential, enhance market access, and optimize clinical trials through AI-powered R&D.

Case Studies

Can the binding affinity for new drugs be algorithmically determined?

Invene built a Claude-powered harness that lets computational chemists query the Protein Data Bank in plain English and orchestrate analysis scripts as agent tools — eliminating API expertise as a prerequisite for day-to-day drug discovery research

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What does in-home cancer care look like when immunotherapy goes mainstream?

Invene mapped oncology journeys and prototyped remote monitoring concepts to transform treatment outside the hospital.

Can caregivers manage pediatric epilepsy proactively from home?

Invene turned a simple tracker into a caregiver tool with seizure video capture and rapid physician sharing to speed decision making.

Can medication plus CBT be orchestrated in one experience?

Invene led the pharmacotherapy platform design for patients, administrators, and employers to track treatment impact in the real world.

Can connected auto-injectors improve adherence and outcomes?

Invene designed the Enbrel companion that pairs with Bluetooth auto-injectors, guides usage, and shares adherence and symptom data with care teams.

Can pharmacy inventory volume be predicted from purchasing patterns?

Invene established a model to predict pharmacy inventory volume based on segmented population data.

Can trillions of atoms for specific protein sequences be searched?

Invene created a machine learning algorithm that identified motifs of interest for SAR target identification.

How to communicate the contents of a vial in its constituent parts?

Invene built a tool that analyzed the contents of a tincture and displayed a chromatogram of the fluid's properties.