Technical services & engineering delivery
We build the production systems your product runs on.
AI and agent engineering, distributed backends, cloud infrastructure, and full product builds. Scoped, built, and handed over by senior engineers who have shipped this kind of system before.
Our engineers have built at
Property FinderMost builds break after the handover, not during it.
Dev shops ship features, not systems
You get exactly what the ticket said, built the fastest way that demos well. The architecture decisions that determine whether it survives real traffic were never made.
Seniority arrives after the sales call
A senior name wins the pitch, then the work is staffed down. The hardest decisions end up made by whoever was available that sprint.
You inherit a stack you cannot run
The handover is a repo nobody explains and a row of vendor subscriptions you now rent forever. Every change after that needs the people who left.
Four service lines, each taken all the way to production.
These are the areas we have shipped and operated for years, not a capability list assembled to answer an RFP. If a build falls outside them, we will say so.
AI & agent engineering
LLM features, autonomous agents, and retrieval pipelines built as production systems, with the evaluation and observability to know they still work next month.
- Agents and tool-use systems
- RAG and retrieval pipelines
- Evals, guardrails, and prompt regression tests
- LLM observability and tracing
Backend & distributed systems
High-availability services, event-driven architecture, and data models that hold when traffic, data, and users multiply.
- API and service design
- Event-driven and queue-based systems
- Performance, latency, and load work
- Data modelling and migrations
Cloud, infrastructure & DevOps
Right-sized cloud architecture as code, with the pipelines, monitoring, and cost line a team can actually operate.
- AWS architecture and hardening
- Infrastructure as code
- CI/CD pipelines and release process
- Monitoring, alerting, and cost control
Product & platform builds
Data model to UI, delivered as a working product you can put in front of users, not a pile of half-finished tickets.
- MVPs and v1 platforms
- Internal tools and dashboards
- Integrations across your existing stack
- Full-stack feature delivery
Three steps, from first call to a system you own.
Scope
A 45-minute call, then a written scope: what gets built, the milestones, and what done means. Where the scope is fixed, so is the price.
Build
Weekly demos against those milestones, in your repos and your cloud from day one. You watch progress in commits, not in status decks.
Hand over
Documented, deployed, and explained to whoever runs it next. Keep us on for support and iteration, or take it and go.
We build it to survive success.
Shipping a feature is the easy part. Keeping it fast and online when traffic, data, and users multiply is where most builds crack. That is the distributed-systems engineering behind every service line above, applied before you hit the wall rather than after.
Reliability
Systems that fail gracefully, recover on their own, and tell you why.
High availability
Architected for uptime, with no single point of failure.
Low latency
Profiled and tuned so it stays fast as load climbs.
Event-driven
Queues, streams, and async workflows that absorb spikes instead of buckling.
Cloud & infra
Right-sized cloud architecture and infrastructure-as-code, not a box someone SSHes into.
Scale
Data models, caching, and sharding that hold at 10x and 100x.
Three ways to buy the same engineering.
Fixed-scope build
A defined deliverable with milestones and a price agreed up front, built and handed over. Most engagements start here.
Milestone-billed · fixed scope
Ongoing engineering partner
A monthly retainer for continuous delivery when the roadmap keeps moving and the system needs someone who knows it.
Monthly retainer · cancel monthly
Embedded engineer
When you would rather have a senior engineer inside your own team, in your Slack and standups, working as a founding-level hire.
Monthly retainer · defined hours
The four things clients say made the difference.
See what we build in-house →Senior engineers, all the way down
The people who scope your build are the people who write it. Nothing is staffed down to a junior bench after the sales call.
Architected for the load you plan to have
We make the scaling decisions in week one, when they are cheap, instead of rewriting the system the quarter it starts failing.
Your repos, your cloud, your IP
Everything is built in your accounts and handed over documented. Nothing is held back and nothing needs buying out later.
We build our own infrastructure
Observability, memory, agent runtimes: when a build needs one of these, we reach for something we wrote and understand end to end, not a SaaS bill you inherit.
A decade of shipping, before StarkSphere existed.
10+ years building for top tech companies across big tech, fintech, and high-growth startups.
Shipped cloud infrastructure, payment systems, and large-scale ML products, and led a 6-engineer team.
Led core search infrastructure serving 2M+ listings across 5 countries.
Built fintech lending infrastructure at scale.
AWS Certified Solutions Architect. Production experience across Java, Go, Python, and Node.js.