40+
Products and systems delivered
Build software that scales, ships,
and pays back
From MVPs to AI-enabled products and internal systems, we help teams move fast without long-term technical debt.
Trusted by startups and product teams across EU, USA, and the Middle East.
Teams across EU · USA · Middle East trust us for high-stakes product execution.
70%
Work from repeat and referral clients
< 7 days
Average kickoff window after alignment
Our clients
Teams that ship with us
Teams around the globe trust us to ship, scale, and support their products.
Want to see outcomes, not just logos? Browse case studies · Read testimonials
What happens in your first 30 days
A practical plan and visible progress. Not a long discovery phase with little to show.
See how we work- 01
Technical + product audit
We review architecture, product priorities, and delivery blockers to establish a realistic baseline.
- 02
Risk and priority roadmap
You get a clear map of what to build now, what to defer, and what can quietly break growth later.
- 03
Execution milestones
We define release checkpoints, ownership, and expected outputs so progress is visible every week.
- 04
First production deliverable
Within the first month, we target one meaningful release that validates direction and momentum.
Start with a focused engagement
Choose the format that fits your current stage, urgency, and roadmap.
6-8 weeks
MVP Launch Sprint
For founders and early-stage teams building first production release.
Deliverables
- Focused product scope and architecture baseline
- Core feature build with launch-ready quality
- Release checklist and next-iteration plan
3-4 weeks
Platform Stabilization Sprint
For teams with a live product that feels fragile or hard to scale.
Deliverables
- Architecture and performance bottleneck review
- Reliability improvements and risk reduction
- Prioritized technical roadmap for upcoming releases
2 weeks
AI Feasibility Sprint
For product teams evaluating practical AI use cases without hype.
Deliverables
- Use-case prioritization with ROI framing
- Low-risk pilot plan with success criteria
- Implementation and data-readiness recommendations
Need a custom model?
If our sprint packages don't match your scope, we build bespoke teams tailored to your platform, engineering culture, and roadmap. Let's discuss
Operating model
Why teams choose PySquad
Four diligence checks. Same problem space, different way of working.
Dimension
Typical agency
PySquad
Delivery
Typical agency
Feature factory with limited product context
PySquad
Outcome-first execution tied to business priorities
Team
Typical agency
Junior-heavy pods with rotating ownership
PySquad
Senior-led teams with clear accountability
AI
Typical agency
Hype-driven implementation
PySquad
Measured adoption based on ROI and risk
After launch
Typical agency
Handover and disengage
PySquad
Iteration, stability, and scaling support
Senior ownership without agency theater.
Start a conversation
not sure where to start? that's normal
We start with a short strategy call to map what matters now, what can wait, and where your biggest delivery risks sit.
If we can help, you leave with clear next steps. If not, we tell you early.