Where your engineers
actually spend their time.
We instrumented time-tracking across 14 platform engagements. The pattern is consistent enough to be a law of organizational physics: the less invested the platform, the more engineering time disappears into operational gravity.
▲ Highlighted: operational toil addressable by platform investment
median deploy frequency increase
after platform investment (12-month cohort)
Source: Internal engagement data, 2023–2025. Excludes orgs with <20 engineers.
The median engineering organization spends 49% of developer hours on operational toil that a well-built internal developer platform eliminates. That's not a productivity problem — it's an infrastructure debt problem wearing a productivity mask.
Annual cost at 50-engineer org
$2.1M
in developer hours lost to toil
Assuming $180k fully-loaded eng cost
Plot your org.
Most land at Level 2.
Six capability dimensions. Five maturity levels. Every cell you hover is a conversation we've had with a CTO who thought they were at Level 4 until they tried to onboard a new service without pinging someone in Slack.
$ If this model surfaced a gap you already knew existed but couldn't name — that's the first diagnostic. The second is in the engagement model.
Read the Full Engagement Model →Anonymized engagement timelines.
Real architecture. Real outcomes.
Series C Fintech — 60 engineers
Deployments gated on a 3-person platform team. Average deploy cycle: 4.2 days.
16×
deploy frequency increase
Discovery & Audit
Mapped 47 service repos, 12 deployment pipelines, 6 provisioning patterns
Golden Path v1
Terraform module + Backstage template. First service deployed in 9 minutes.
Migration
38 of 47 services migrated. Platform team re-focused on L2+ work.
Handoff
Runbooks, training, 90-day SLA. Avg deploy cycle: 6.3 hours.
Internal Developer Portal
Backstage / custom — service catalog, software templates, tech docs
Golden Path CI/CD
GitHub Actions / Tekton — opinionated pipelines with escape hatches
Self-Service Infra
Terraform modules + service catalog — provision without ops
Platform Observability
Auto-instrumented telemetry, SLO dashboards, error budgets
We had a platform team of one. After this engagement, we had a platform. There's a difference — one is a person absorbing toil, the other is a system that eliminates it.
VP Engineering
Series C Fintech, 60 engineers
The cognitive load on our senior engineers was invisible until we measured it. Platform investment didn't just speed up deployments — it gave back the mental space to architect properly.
CTO
Mid-market SaaS, 120 engineers
I've seen platform teams build platforms for themselves. This is the first time I've seen one built for the developers who have to use it. The abstraction layer is the product.
Head of Infrastructure
Enterprise, 400+ engineers
The engagement
model is open.
No discovery call required to understand our approach. The full engagement breakdown — scope shapes, timeline ranges, and pricing tiers — is one click away.
We work with engineering organizations where the pain is real, the timeline is urgent, and the leadership has the authority to act. If that's you, the document will tell you everything you need to decide.
No form. No sales call. Just the document. Qualification happens on the next page.
Discovery Sprint
2 weeksPlatform audit, toil mapping, maturity baseline, team interviews
Foundation Build
4–6 weeksGolden path v1, IDP scaffold, first service migrated end-to-end
Migration Wave
4–8 weeksService-by-service migration, runbooks, developer enablement
Handoff & Embed
2–4 weeksPlatform team training, SLAs, 90-day support window
14
Engagements
94%
Renewed / Referred
11s
Fastest provision