What we do
Three focused engineering pillars.
We don't do generic software development. We specialise in three domains where deep expertise matters and generalists fail.
DevSecOps & Cloud Security
Secure the platform. Ship with confidence.
- Kubernetes (CKA/CKAD) + ArgoCD GitOps
- AWS Well-Architected Security Review
- SOC2 / ISO27001 readiness
- External Secrets, Vault, IaC
Cloud & Data Engineering
Turn your data into a competitive advantage.
- Snowflake / Databricks migrations
- Real-time Kafka & Kinesis pipelines
- dbt + BigQuery analytics platform
- Certified Snowflake & Databricks engineers
Backend & Platform Engineering
When 'scalable' must mean 100k+ RPS.
- Go event-ingestion at 2M+ events/h
- RTB / bidding engine design (RTB House DNA)
- Kafka + gRPC + CQRS/Event Sourcing
- OpenTelemetry observability stack
How we work
Engineering culture, not a vendor mindset.
Senior-only team
Every engineer on your project has 7+ years of production experience. No juniors learning on your codebase.
AI-native delivery
We use Cursor, Claude and purpose-built MCP servers daily. That makes us 2–3x faster than traditional shops — without cutting corners.
FTE-equivalent commitment
We work in your timezone, join your standups and integrate with your team. No offshore handoffs.
Weekly delivery cadence
Structured weekly syncs, demo-driven progress and transparent async updates. You always know where things stand.
The team
Three founders. Zero middlemen.
You talk directly to the engineers doing the work.

Kacper Woźniak
Lead, DevSecOps & Cloud Security

Kamil Andziak
Lead, Backend & Platform Engineering
Rafał Zieliński
Lead, Cloud & Data Engineering
Featured work
Results that speak for themselves.
Pillar C — Backend & Platform
AdTech / Programmatic Advertising
Scaling a Tier-1 European DSP bidding engine to 180k RPS
- ✓ Peak throughput: 80k → 180k RPS (2.25×)
- ✓ p99 latency: 42ms → 11ms
- ✓ Auction timeout rate: 3.2% → 0.07%
- ✓ Infrastructure cost per million bids: –38%
Pillar B — Cloud & Data
E-commerce / Retail
Snowflake migration: 60% cost reduction in 8 weeks
- ✓ Monthly cloud data costs: –60%
- ✓ Average analytical query time: 8.4s → 1.1s
- ✓ Data pipeline reliability: 94% → 99.7% SLA
- ✓ Time-to-insight for new metrics: 3 weeks → 2 days
Pillar A + C — DevSecOps & Backend
Mobile Attribution / AdTech
Zero-downtime event ingestion at 2.5M events/hour
- ✓ Ingestion throughput: 2.5M events/h sustained, 4M peak
- ✓ End-to-end latency p99: < 45ms
- ✓ Zero downtime across 60+ production deployments
- ✓ GDPR audit trail: 100% event lineage from SDK to warehouse
FAQ
Common questions.
Ready to talk?
Tell us about your platform challenge. We'll get back to you within one business day.
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