Healthtech · Life Sciences Software · 200–1000 · North America #b033_25

Context

We help drug discovery teams harmonize public and proprietary biological datasets and rank therapeutic targets using knowledge graphs and agent-based analysis.

Industry

Healthtech · Life Sciences Software

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

Data quality & observability. Public and partner datasets vary wildly in annotation quality, and curation still needs many human hours.

Today: curators and automated checks audit datasets for gaps before they enter a knowledge graph · Urgency: this year

Data governance & catalog. Customers mix proprietary data with public sources, so permissions and lineage must be airtight.

Today: ontology-backed annotation and access controls applied across regulated research data · Urgency: this year

Internal developer platform. Supporting cloud, on-premise and hybrid installs stretches our small infrastructure team thin.

Today: a platform group maintains cloud, on-premise and hybrid deployments · Urgency: this year

Who decides

head of data · team trial

Expects from suppliers

Supports hybrid deployment targets; Lineage across curated datasets; Works with distributed engineering teams

Not a fit

Cloud-only tools without private options; Generic catalogs unaware of biological metadata

Stack

multi-cloud, on-prem / private cloud, Kubernetes, LLM APIs in production

Buying triggers

AI adoption push, rapid team growth