Engineering
Engagements
Productized engagements with clear deliverables and transparent pricing. Most clients start with a review, then scale into a build.
Prices shown are starting points, adjusted to your region for purchasing-power parity. Every engagement is scoped to your system and quoted as a fixed price after a short discovery call.
Engineering Architecture Review
The entry point. A senior, outside read on your system — in weeks, not quarters.
Where it fits
- You're about to commit budget to a rebuild and want a second opinion first.
- Nobody has a clear map of where the real risk, cost, and latency live.
- Leadership needs a defensible roadmap, not a gut feel.
What you get
- 30–50 page technical report
- Risk & security assessment
- Performance & cost-optimization analysis
- Prioritized modernization roadmap
Legacy Platform Modernization
Django or Node monoliths that no longer scale — migrated to Go without downtime.
Where it fits
- A monolith that's slow to deploy and expensive to scale.
- Latency and reliability degrading as traffic grows.
- Every change risks breaking something else.
What you get
- Architecture review & migration plan
- Zero-downtime strangler-fig migration
- Go service implementation
- PostgreSQL optimization
- Observability through and after cutover
AI Infrastructure
Private, on-prem AI that runs on your hardware. Not chatbot development.
Where it fits
- You can't send sensitive data to third-party model APIs.
- You need AI that runs inside your own network and hardware.
- Off-the-shelf chatbots don't fit your domain or compliance rules.
What you get
- On-prem / private LLM deployment
- RAG & knowledge-retrieval systems
- Agent orchestration
- Evaluation suites & guardrails
- Local memory & knowledge graphs
Data Platform Engineering
Real-time pipelines, telemetry, and analytics at fleet scale.
Where it fits
- Telemetry, IoT, or event data arriving faster than you can use it.
- No reliable real-time pipeline or single source of truth.
- Duplicate or lost events corrupting downstream analytics.
What you get
- Kafka & Debezium CDC pipelines
- Time-series & telemetry storage
- IoT & fleet analytics
- Idempotent, at-least-once delivery
Reliability & Observability
Make it fast, make it stay up — and prove it with data.
Where it fits
- You're firefighting incidents instead of preventing them.
- No SLIs, SLOs, or alerting you can actually trust.
- Latency and memory creeping up with no visibility into why.
What you get
- Prometheus / Grafana / Loki stack
- SLI / SLO & alert-threshold design
- Latency & heap profiling with pprof
- Incident response & RCA process
- Runbooks & on-call structure
How an engagement runs
Assess
We review your architecture, code, and infrastructure to find where the real risk, cost, and latency live.
Plan
You get a written plan — sequencing, milestones, benchmarks — and a fixed quote before any build begins.
Build
We ship in production-safe increments: strangler-fig migrations, zero-downtime cutovers, measured at every step.
Hand over
You keep everything — ADRs, dashboards, runbooks — and a team that understands the system. No lock-in.
Start with the smallest
engagement that de-risks it
Tell us what's slow, fragile, or scaling badly. We'll come back with a scoped plan and a fixed quote.
Book an Enterprise Inquiry