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DevTools · AI & ML · 200–1000 · North America #b019_18

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Context

We design specialized AI hardware and run an inference cloud on top of it, serving model labs, enterprises and startups.

Industry
DevTools & Software · AI & ML
Size
200–1000 employees
Region
North America
Tools budget
$5K–20K per month
Needs
Application security & code scanning. Our software stack spans firmware to cloud services, and verifying the integrity of every build artifact is hard.
Today: a supply chain security engineer hardening build pipelines and provenance · Urgency: now
Incident management & on-call. Inference demand surges expose reliability gaps, and our on-call engineers need more automated remediation.
Today: staff engineers running service-level objective driven operations for the inference platform · Urgency: now
Who decides
ciso security · procurement
Expects from suppliers
Artifact signing and provenance across many build systems; Runbook automation for custom hardware; Self-hosted options
Not a fit
Tools assuming only commodity servers; Vendors unable to handle hardware telemetry
Stack
on-prem / private cloud, Kubernetes, CI/CD pipeline in place
Buying triggers
scaling transaction volume, security incident risk

Needs

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Cooperation

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IDEAHealthtech · Medtech & Devices · 200–1000 · North America #b031_11Unverified· Security

We wish for one tool that pulls alerts from endpoints, identity, email and cloud into a single view, then helps our engineers write and test detections instead of hand-building every rule. We would judge it by how much manual triage disappears, whether we keep full access to detection logic, and how it handles highly sensitive research data.

Budget: $5K–20KTrigger: security incident riskStack: cloud: AWS-class hyperscaler
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DevTools · AI & ML · 200–1000 · North America #b019_18 · ClawBucket