40+
Products and systems delivered
Product engineering studioBuild software that scales, ships,
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.
Trusted delivery partner
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
Delivery clarity
What happens in your first 30 days
You get a practical plan, not vague discovery workshops.
Technical + product audit
We review architecture, product priorities, and delivery blockers to establish a realistic baseline.
Risk and priority roadmap
You get a clear map of what to build now, what to defer, and what can quietly break growth later.
Execution milestones
We define release checkpoints, ownership, and expected outputs so progress is visible every week.
First production deliverable
Within the first month, we target one high-leverage release that validates direction and momentum.
Starting engagements
Start with a focused engagement
Choose the format that fits your current stage and urgency.
MVP Launch Sprint
6-8 weeksFor founders and early-stage teams building first production release.
- Focused product scope and architecture baseline
- Core feature build with launch-ready quality
- Release checklist and next-iteration plan
Platform Stabilization Sprint
3-4 weeksFor teams with a live product that feels fragile or hard to scale.
- Architecture and performance bottleneck review
- Reliability improvements and risk reduction
- Prioritized technical roadmap for upcoming releases
AI Feasibility Sprint
2 weeksFor product teams evaluating practical AI use cases without hype.
- Use-case prioritization with ROI framing
- Low-risk pilot plan with success criteria
- Implementation and data-readiness recommendations
Proof of outcomes
Results teams come to us for
We anchor execution to outcomes your leadership team can track.
Problem
Manual operations slowed growth
What we built
Workflow automation and admin tooling
Impact
Reduced repetitive ops effort by up to 45%
Problem
MVP stability issues blocked releases
What we built
Architecture cleanup and delivery guardrails
Impact
Improved release reliability and shortened cycle time
Problem
AI adoption felt unclear and risky
What we built
Focused AI opportunity mapping and pilot rollout
Impact
Faster decisions with measurable business fit
Capabilities
What we build
Product platforms and internal systems designed for dependable growth, not fragile one-off releases.
Product platforms
SaaS Platforms
Multi-tenant products, dashboards, subscription systems, and scalable architectures built to grow with real usage.
Multi-tenantBillingDashboardsAdmin panels
Early-stage builds
Startup Products & MVPs
From first build through post-launch stabilisation and continuous iteration.
MVPBetav1.0Scale
AI + automation
AI-Enabled Applications
Practical AI for automation and decision support, with guardrails and measurable business outcomes from day one.
ServicesAI assistants & copilotsRAG & knowledge searchWorkflow automationML models & predictions
Business systems
ERP & Internal Systems
Odoo-based and custom systems built for operations-heavy business teams.
OdooCustom buildsLegacy replacement
Integrations
APIs & Integrations
Reliable backend systems designed to scale smoothly with growing usage.
RESTGraphQLWebhooksgRPC
Honest fit
Who this is (and isn't) for
A quick clarity check before we spend time on discovery.
Great fit
If you're...
- SaaS startups building or scaling a real product
- Founders hiring or thinking about a CTO
- Teams moving from early traction to real users
- Businesses replacing manual or legacy systems
- Companies looking for a long-term tech partner
Probably skip us
If you're...
- Only comparing hourly rates
- Wanting speed without accountability
- Expecting AI to replace product thinking
Common pain points
Why founders reach out
Most conversations start when execution risk grows faster than delivery confidence.
Technical decisions feel risky
Every architectural choice carries weight you can't afford to get wrong.
The MVP is live but fragile
Shipping fast left cracks. Now every feature feels like defusing a bomb.
AI sounds promising but unclear
The potential is obvious. Where to actually start, far less so.
Hiring a full-time CTO feels too early
You need senior tech leadership, but not the full-time price tag just yet.
Execution slows despite adding people
More hands, more meetings, less shipping. The math stopped working.
Priorities shift without clear ownership
Everything is urgent. Nothing is owned. Progress stalls at the seams.
Familiar patterns? Share your context →
Engagement model
how teams work with us
Choose an engagement level based on your current stage, team maturity, and delivery pressure.
Dedicated Development Teams
Engineers embedded with your team, aligned with EMEA time zones and workflows.
Hire developersProduct Development
End-to-end or phased builds for SaaS and startup products.
Build a productFractional / Interim CTO Support
Technical direction, decision-making, and hiring support without long-term commitment.
System Review & Stabilisation
Architecture cleanup, performance improvements, and technical clarity.
Applied AI
AI without the noise
AI can accelerate progress, but careless implementation can add cost and risk. We focus on measurable outcomes, not trend chasing.
Our approach
Decide
if AI is actually needed for your use case
Identify
precisely where AI adds measurable value
Avoid
unnecessary complexity and technical debt
Measurable outcomes
Reduced manual workflow effort by up to 40%
Faster support and operations response cycles
Better decision speed through focused AI pilots
Model-agnostic approach: we choose what fits your ROI and risk profile, not what is trending.
Decision support
Why teams choose PySquad
A direct comparison to help evaluate fit quickly.
Delivery approach
Typical agency
Feature factory with limited product context
PySquad
Outcome-first execution tied to business priorities
Team composition
Typical agency
Junior-heavy pods with rotating ownership
PySquad
Senior-led teams with clear accountability
AI strategy
Typical agency
Hype-driven implementation
PySquad
Measured AI adoption based on ROI and risk
Post-launch support
Typical agency
Handover and disengage
PySquad
Continuous iteration, stability, and scaling support
Industries
industries we've worked with
Different domains, same operating principle: reduce delivery risk while improving execution speed.
"Different industries. Same execution mindset."
Discuss your domain challenges
Get in touch
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.