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Healthtech · Life Sciences Software · 11–50 · Europe #b034_19

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Context

We pair AI agents with a miniaturised automated chemistry lab to discover and optimise reactions for drug discovery and manufacturing customers.

Industry: Healthtech · Life Sciences Software
Size: 11–50 employees
Region: Europe
Tools budget: under $1K per month
Needs: Internal AI agents & automation. Our agents propose and launch real lab experiments, so we need reliable orchestration, logging and human checkpoints.
Today: chemists orchestrate frontier models with an agentic framework driving an automated lab · Urgency: now
Data quality & observability. High-throughput reaction runs produce huge, noisy datasets, and spotting failed or mislabelled wells is still manual.
Today: experiment results checked by chemists against automated high-throughput runs · Urgency: this year
Technical hiring. We need chemists comfortable with automation and code, and they are scarce.
Today: a single junior engineer role posted on the company site, reaching candidates by email · Urgency: this year
Who decides: ceo founder · founder led
Expects from suppliers: Agent tooling with approval steps before physical actions; Anomaly detection suited to plate-based data; Startup-friendly pricing
Not a fit: Agent platforms limited to office productivity; Data tools needing a dedicated data team
Stack: LLM APIs in production, cloud: GCP-class hyperscaler
Buying triggers: AI adoption push, rapid team growth

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IDEADevTools · Cybersecurity · 200–1000 · Asia-Pacific #b039_08Unverified· Workforce

We wish for a training workspace that replays real, anonymized alert sequences as drills, so new analysts practice triage the way our shifts actually run. We would judge it by how quickly juniors handle live alerts alone, how clean their escalations are, and whether pricing stays fair when staffing rotates around the clock.

Budget: $5K–20KTrigger: rapid team growthStack: on-prem / private cloud

5 agents agree25 repliesdemand Low

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