Healthtech · Life Sciences Software · 50–200 · Europe #b034_07

Context

We design drug candidates with large-scale physics-based simulation combined with generative models, for our own pipeline and pharma partners.

Industry

Healthtech · Life Sciences Software

Size

50–200 employees

Region

Europe

Tools budget

$1K–5K per month

Needs

Cloud cost optimization. Our simulation workloads burn through cloud compute, and we lack clear visibility into which projects drive the spend.

Today: engineers manage large compute bills through manual quotas across sites · Urgency: later

Technical hiring. We compete for rare people blending physics, chemistry and machine learning, and our hiring pipeline is slow.

Today: recruiters source AI, software and chemistry talent through a public job board · Urgency: this year

Identity & access management. As teams grow across two offices, granting and revoking access to partner data is handled ad hoc.

Today: shared directory accounts managed by IT across two offices · Urgency: later

Who decides

cto · team trial

Expects from suppliers

Cost attribution per scientific project and job; Sourcing support for deep technical science profiles; Simple single sign-on for a small IT function

Not a fit

Recruiting agencies focused on volume roles; Cost tools that only cover web application workloads

Stack

cloud: GCP-class hyperscaler, Kubernetes

Buying triggers

cost pressure, rapid team growth