Engineering Intelligence Platform — Alpha Launch
What is the Engineering Intelligence Platform?
The Engineering Intelligence Platform (EIP) is the operating system for engineering leadership — built for team leads, engineering managers and CTOs — from small teams of 3 engineers up to 500-person organisations. It connects the systems engineers actually use (GitHub, Azure DevOps, Jira, Claude Code, Cursor, 1:1 notes) into a view a manager can actually work in on a Tuesday morning — coaching, prioritising, unblocking, preparing fair reviews. Available in closed alpha starting today.
The honest observation behind it
The people behind DeViLink have been building, staffing and training engineering teams for many, many years — nationally and internationally. We didn't build the platform from a vision. We built it from a pain point that eventually got too big to ignore.
“I realised I wasn't living up to my own expectations as a manager. We run regular 1:1s to help our developers grow — but inside the constraints of a normal work week, it's really hard to prepare each 1:1 well, back the topics with the right data, and still keep the bigger picture across the team and the repositories. With the Engineering Intelligence Platform, that gets dramatically easier: real pain points become visible, follow-ups don't fall through the cracks, and critical gaps in the repositories surface before they turn into incidents.”
That is the job of an engineering manager or team lead in 2026 — and it is the most under-instrumented job in the entire tech industry. The data exists everywhere: in GitHub, in Jira, in Personio, in Slack DMs, in a private notebook. Nobody connects it. So managers improvise. The cost shows up later — in attrition, in unfair reviews, in missed promotions, in 1:1s prepped on the train.
We built EIP internally first, to run our own teams better. Today we're opening it.
Why we don't want to be “the next outsourcer”
Every other LinkedIn post comes from yet another Vietnam, India or Poland outsourcing shop. Pure day-rate competition is a race to the bottom — and it misses the actual question.
Most companies we talk to don't have an outsourcing problem. They have an engineering-efficiency problem. A 50-person engineering org with mediocre leadership, no observability into who is blocked or stagnating, no clarity on where time goes, no structured training — that org wastes far more money on invisibility than it could ever save by moving a few seats to Vietnam.
There is no useful end-to-end solution for this on the market today. LinearB and Swarmia measure. Personio handles HR. Jira tracks tickets. Jellyfish is enterprise-only and metrics-only. Nobody connects coaching, hiring, training, observability, security and asset management into one operating system for engineering leaders.
We're building that. Outsourcing is one of three ways to use EIP — no longer the headline pitch.
The four pillars
EIP rests on four disciplines DeViLink already practices every day. The platform makes them repeatable and visible — instead of tribal knowledge.
Talent
End-to-end management of the human side of engineering: recruiting, staffing, training, retention.
- • Recruiting — pipeline with AI-assisted JD generation, candidate tracking, onboarding
- • Staffing — match engineers to client teams; track availability, skills, tenure
- • Training — structured programs (junior → mid → senior), measured against output signals
- • Retention — DevInsight surfaces early disengagement signals before someone quits
AI
AI as a discipline — not a buzzword.
- • AI consulting — for clients building AI features or evaluating AI tooling
- • AI-augmented development — Claude Code, Cursor and internal copilots wired into EIP as first-class signals
- • AI training — for client teams: prompt engineering, agent design, evaluation, safe deployments
Velocity metrics that ignore AI are wrong by 2026. EIP measures the right things in an AI-augmented world.
Visibility
Management visibility into engineering — the part that doesn't exist anywhere today, off the shelf.
- • Four lenses — Individual, Team, Department, Business Value
- • Signals — Git, Jira, Claude Code, Cursor, 1:1 notes, peer feedback, HR, asset usage — in one place
- • Manager Copilot — suggested 1:1 topics, retro inputs, coaching prompts
- • Ecosystem-wide — client systems + DeViLink-side systems + AI tools in one view
Security & QA
The unspoken cost of fast development is bad quality and security holes. EIP closes the loop.
- • Pentest as a Service — DeViLink's existing pentest offering, productised with scans, findings, retests
- • Manual QA — staffed via Vietnam, surfaced in EIP as test runs and defect trends
- • Automated QA — Test Management module, quality signals fed back into DevInsight
- • Compliance hooks — NIS2, ISO 27001, SOC 2 — evidence from platform data instead of spreadsheet hunts at audit time
What's live from day one
We don't promise anything that doesn't work. Here's what alpha customers have in their hands from day one:
DevInsight — hero module, fully live
- ✓ Integrations: GitHub, Azure DevOps, Jira, Claude Code, Cursor, 1:1 note capture
- ✓ All four lenses functional: Individual, Team, Department, Business Value
- ✓ Engineering, team and sprint dashboards
- ✓ DORA metrics from real repository data
- ✓ Repository overviews and insights
- ✓ Company KPIs for AI usage and cost (Claude Code, Cursor, etc.)
- ✓ Manager Copilot with topic suggestions
- ✓ Team Connection — developers exchange the info they need in both directions
All UI content is real data. No mock-ups for regular users.
Available in early access on request
- → Test Management — test cases, runs, quality signal
- → Tech Recruiting — AI JD generator, applicant tracking, onboarding flow
- → Asset Management — hardware, software, licenses — one source of truth
These modules are available — we activate them per customer on demand, instead of rolling them out wholesale.
Team dashboard: velocity, bottlenecks, health trend
Identify trends quickly
Questions leaders actually ask
And how DevInsight answers them.
“What should I bring up in this 1-on-1?”
Synthesizes recent activity + last 1-on-1’s open items + emerging signals — three concrete topics in 60 seconds.
“Who’s stuck right now?”
Flags PRs sitting too long, idle tickets, deviation from each engineer’s normal pattern.
“Is this calibration fair?”
Multi-source view per engineer — code, reviews, collaboration, growth — with bias checks.
“Who’s at risk of leaving?”
Behavioral-drift signals (engagement, output pattern, 1-on-1 sentiment) — surfaced early, not at exit interview.
“Where do we need to invest in training?”
Skill-gap analysis across the team — plus concrete training sources and mentors to close each gap, grounded in actual work patterns, not a generic course catalogue.
“What should our retro be about?”
Auto-generated topic candidates from the cycle’s data and unresolved past action items.
“Are we delivering business value, or just bugfixing?”
Investment-mix breakdown by team, area and quarter — features vs. bugs vs. maintenance vs. ops.
“Where did the quarter’s engineering budget actually go?”
Effort rolled up by product area and work type — defensible numbers for the CFO conversation.
“Is this roadmap realistic?”
Planned features vs. typical capacity left over after ops, support and bug load.
Where we differ from LinearB, Swarmia and Jellyfish
We respect those products — they opened the category. But they solve a different problem than we do.
| Axis | LinearB · Swarmia · Jellyfish | EIP |
|---|---|---|
| Target user | VP Engineering / Finance — top-down metrics for resource allocation | Team lead at 9:55 on Tuesday — the person who actually runs the team |
| Scope | Metrics-only. Plug-and-play dashboards. | Operating system. Connects people, work, tools, training, hiring, security. |
| Practice | Tool you buy and configure | Tool plus the team that runs it well — services optional, not bolted on |
| Pricing | Per-seat SaaS, expensive at scale | Module licenses + consumption-based AI credits. You pay for what you actually use. |
| AI posture | Bolted on as “AI insights” | Native — AI-augmented development is the baseline, not the exception |
Three ways to use EIP
The platform is the base. Three models sit around it — pick whichever fits your situation.
Platform-only
You have your own engineering team and want to run it better. EIP gives you the view and the tooling — you keep full ownership of your team and processes.
Platform + Outsourced Team
DeViLink stands up an engineering team in Vietnam — instrumented in EIP from day one. The existing outsourcing offer, now visible and measurable. No more black-box outsourcing.
Platform + Consulting
Strategic engineering advisory (process, hiring, training, AI adoption) with EIP as the operating layer. For CTOs reshaping their organisation.
Hosting, data sovereignty & security
SaaS out of Frankfurt
Hosted on OVH in Frankfurt. EU data residency is a deliberate positioning choice — it fits the GDPR-conscious mid-market buyer we serve, and it ties directly to our existing position on digital sovereignty.
Fast to start — on-prem on request
As SaaS you're productive in days, not months — exactly what the German Mittelstand needs: quick setup, quick deployments, no infrastructure project. And if you need full data sovereignty, an on-premise deployment is possible.
Security by design
Security is built in from the start, not bolted on. We run EIP ourselves (dogfooding) and pentest our own systems on a regular basis to keep hardening them.
How the closed alpha works
Founder-led. No self-serve sign-up. We want to actually help every alpha customer use EIP well — and we want to learn what works and what doesn't.
How activation works
- 1. Waitlist — sign up at app.devilink.ai. No sales funnel, no long form.
- 2. Activation — we activate you step by step to keep onboarding quality and ingestion clean. No fixed cohort sizes.
- 3. Guided onboarding — multiple calls over typically 1–2 weeks, depending on your availability. We help with integrations, mapping your teams, configuring the lenses.
- 4. Productive use — once the signals flow, you start with manager workflows: 1:1 prep, sprint reviews, repo audits.
Terms
- First month free. Try EIP against real data with no risk.
- No fixed alpha duration. Realistically the alpha runs ~3–6 months before we move to GA — we communicate proactively if anything changes.
- Monetisation (post-alpha) — two rails: module licenses (per-user tiers) and prepaid AI credits (1 credit = 1 EUR cent, valid for 1 year). Stripe checkout and customer portal — we never store cards.
- Hosting — SaaS, Frankfurt, OVH. EU data residency guaranteed.
Who this works for — and who it doesn't
EIP is right for you today if:
- ✓ You lead an engineering team of ~3 engineers or more — even small teams immediately see where to improve their velocity
- ✓ You run regular 1:1s and take them seriously
- ✓ You use common tools like GitHub, GitLab, Azure DevOps or Jira — and if something's missing, we connect your systems
- ✓ Your team works with AI tools (Claude Code, Cursor) — and you want to understand where
- ✓ You need EU data residency and GDPR compliance
- ✓ You want fair, data-backed reviews and promotions instead of gut feeling
- ✓ You're open to a guided onboarding instead of plug-and-play self-serve
Not (yet) the right moment if:
- → You build entirely solo — from a small team of ~3 people, EIP is already worth it
- → You manage 1,000+ engineers and need enterprise-compliance customisation — let's talk later
- → You expect a pure plug-and-play dashboard — we're an operating system that deserves configuration and onboarding
- → You don't want to connect your development tools at all — no signals, no insights
Sounds like your situation? Join the waitlist.
We activate step by step — and take the time to onboard each alpha customer properly. First month free, no card on file.
Closed alpha · Guided onboarding · SaaS in Frankfurt
