Skip to main content
SCALEVIUM  /  GLOBAL ENGINEERING PARTNER

Engineering Without Limits.

We place vetted senior engineers inside your team, or hire and run a complete engineering pod for you — sourced globally, accountable to US delivery standards.

AI & Machine Learning/Cloud & DevOps/Full-Stack Engineering/Data & Platform/Mobile/AI & Machine Learning/Cloud & DevOps/Full-Stack Engineering/Data & Platform/Mobile/
01
0h
Engineer placement
From an approved order — often from the bench
02
0 days
Replacement guarantee
3–5 business days if a placement isn't working out
03
0%+
Target utilisation
Across active engagements
04
0%+
Engagement retention
Completing their committed term
INSIDE A MANAGED POD

You See The Delivery, Not The Machinery.

Vetting gates, sprint boards, and velocity telemetry all run underneath a Fractional CTO who is your single point of contact — you get demos and written summaries, not standup invitations.

Five vetting gates before anyone reaches your codebase
Two-week sprints with a written Definition of Done
Velocity and response-time telemetry every cycle
Delivery telemetry
Velocity, last 7 sprintsOn track
Sprint 14 — two-week cadence
Backlog
5 items
In progress
3 items
Review
2 items
Done
11 items
Pod roster — vetting
Senior Backend EngineerCleared 5/5 gates
AI/ML EngineerCleared 5/5 gates
DevOps ArchitectBackground check
QA AutomationLive coding
TWO WAYS TO ENGAGE

Staff Augmentation, Or We Run The Whole Pod.

If you have someone to manage an engineer, that's staff augmentation. If you want the management problem itself to go away, that's a managed pod.

Staff Augmentation
Managed Engineering Pod
What you get
Vetted engineers who join your team
A complete team we hire and lead
Who manages the work
You do
We do — a Fractional CTO is the single contact
Best for
A VP Eng, CTO, or Eng Manager
A non-technical founder or busy CEO
You attend standups?
Yes, you run them
No — weekly summaries and milestone demos
Pricing
Hourly or monthly retainer
Monthly retainer + Fractional CTO layer
Starts with
A 48-hour placement
A paid 1–2 week Diagnostic Phase
TECHNICAL DOMAINS

Roles We Place And Pods We Build.

AI & Machine Learning Engineers
LLM integrations, agentic workflows, and RAG pipelines built and reviewed like production code.
Full-Stack & Backend Engineers
Modern web platforms, distributed services, and APIs — vetted for craft, not just credentials.
Cloud & DevOps Architects
Infrastructure as code, CI/CD, and zero-downtime deployment pipelines.
Data & Platform Engineers
Streaming pipelines, data warehouses, and the infrastructure that feeds AI systems.
Mobile Engineers
Native and cross-platform apps built to the same review bar as the rest of the stack.
QA & Test Automation Engineers
Regression and integration coverage so nothing ships on a developer's laptop.
WHERE WE DELIVER

Use Cases By Industry.

Fintech & Payments

Embedded backend and security-minded engineers for regulated infrastructure.

Healthcare & Health Tech

Managed pods delivering patient-facing and clinical-operations software.

SaaS & Developer Tools

Staff-augmented senior engineers embedded directly in product squads.

E-commerce & Logistics

Full-stack and data engineers for high-throughput commerce platforms.

Enterprise IT

Fractional CTO-led pods modernising legacy systems and cloud migration.

Early-stage Product

A complete managed engineering pod for founders without a technical co-founder.

TRUST & SECURITY

Built On A Real Contract And Compliance Stack.

Chain-of-title IP assignment

Every engineer signs an IP assignment before starting. Ownership travels engineer → Scalevium → client, and transfers on payment in full.

5-stage vetting funnel

AI screen, live proctored coding, structured behavioural interview, identity verification, and background check — roughly 3–5% of applicants pass.

Sanctions & data screening

Every engineer and client is screened against the OFAC SDN list at onboarding and quarterly thereafter, with evidence retained.

48-hour breach commitment

Suspected incidents are contained within 1 hour and clients are notified within 48 hours of a confirmed incident.

GDPR-aligned data handling

We act as a processor under GDPR Article 28 for EU/UK engagements, with least-privilege access and no client data used to train models.

Enterprise-only AI tooling

Only approved enterprise-tier AI tools with no-training-on-your-code guarantees touch client-confidential code — personal AI accounts never do.

ENGINEERING STANDARDS

How Delivery Actually Works.

Discovery & track fit

A structured discovery call determines staff augmentation vs. a managed pod — or a short paid Diagnostic Scoping Phase if it's genuinely unclear.

Vetting & placement

Candidates clear five gates before reaching the bench; approved orders are placed within 48 hours.

Two-week sprint cadence

Planning, daily standup, review, and retrospective — client-facing demos and a written Definition of Done every sprint.

Weekly accountability

Pulse checks every two weeks, telemetry on velocity and response time, and a replacement guarantee if it isn't working.

FAQ

Common Questions.

Within 48 hours of an approved order, usually filled from our qualified bench. Sourcing a net-new skill set typically takes about 5 business days.

The first 1–2 weeks of any placement are risk-free. After that, we guarantee a qualified replacement within 3–5 business days, and we own the knowledge transfer.

You do. Every engineer signs an IP assignment before starting, and ownership transfers to you on full payment — never before.

No. Every managed-pod engagement is an agile retainer, not a fixed-scope build — scope changes go through a written change request instead of silently absorbing risk on either side.

Yes — sanctions screening, GDPR/CCPA-aligned data handling, signed NDAs and IP assignments, and a documented 48-hour breach-notification commitment.

Ready To Build Your Next Breakthrough?

Tell us what you're building — we'll tell you which track fits, usually within one business day.