We surface qualified leads from organizations actively overhauling their CI/CD pipelines, containerizing workloads, and scaling Kubernetes environments. Every prospect is mid-project, budget-approved, and evaluating vendors today — not someday.
DevOps MQLs Delivered/Month
Average SQL Conversion Rate
PercepCon is a specialist demand generation partner for DevOps and infrastructure tool vendors. We monitor live signals across thousands of engineering organizations — tracking tool adoption, open-source contributions, job postings for platform roles, and infrastructure scaling events that indicate active procurement cycles.
Rather than selling you a static database, we deliver dynamic prospect lists built around exactly what is happening inside target organizations right now. When a company spins up a Kubernetes cluster, posts three platform engineering roles, or migrates off a legacy CI tool, we flag it — and put the right contacts in your hands before your competitors even know the opportunity exists.
Engineering-led sales motions demand a different kind of prospecting. We built our entire methodology around how developers and infrastructure teams actually evaluate and buy tools.
Pipeline intelligence designed for vendors selling into engineering and platform teams
We identify organizations mid-migration — moving from on-premise to hybrid, legacy CI to cloud-native pipelines, or bare metal to containerized environments — and deliver stakeholders with hands-on purchasing authority.
Track companies rapidly hiring platform engineers, SREs, and DevOps specialists — a reliable indicator that new tooling budgets are open and vendors are being evaluated for immediate deployment.
Find engineering teams running outdated or unsupported versions of Jenkins, legacy container registries, or deprecated orchestration tools — primed for a compelling migration pitch backed by real data.
We target the full infrastructure buying committee — VP of Engineering, Head of Platform, DevOps Lead, Site Reliability Engineers, and CTOs at growth-stage companies where engineering leaders also hold budget authority.
Yes. Our technography engine maps active tool usage across Docker, Kubernetes, Terraform, GitHub Actions, ArgoCD, CircleCI, and dozens of other infrastructure platforms — so you can target by exact stack composition.
We combine three signal types: infrastructure change events (new tool deployments, version upgrades), hiring patterns (open platform engineering roles), and content consumption behavior — cross-referenced to score active buying intent.
We work with both. Early-stage vendors benefit from our tightly scoped niche lists, while established vendors use our volume delivery and competitive displacement programs to expand market share.
We cover the full spectrum — from Series B startups with 50-person engineering teams actively scaling infrastructure, up to enterprise organizations with dedicated platform engineering divisions running complex multi-cloud environments.
Tell us your target stack and deal profile. We'll show you exactly how many active DevOps prospects we can put in your pipeline this month.
Response time: Under 2 hours during business hours