Engineering teams you can put on the roadmap.
Six disciplines we run at a tier-one quality bar. Six engagement shapes you can hire them in. Below, the disciplines first — engagement models are further down.
Custom software development
When the off-the-shelf option doesn't fit and the stakes are too high to ship a hack. We build product-grade web platforms in TypeScript, Go, and Python on the cloud you've already picked.
- Greenfield web platforms — domain modelling through launch
- Mission-critical service rewrites with zero-downtime cutover
- Internal tools that the operations team actually wants to use
Cloud architecture & DevOps
A platform team in a box. Multi-region infrastructure, deployment pipelines that survive Fridays, SLOs that match the business. AWS, GCP, and the rough edges of both.
- Greenfield platform builds on AWS, GCP, or Azure
- Kubernetes, Nomad, ECS — whichever the team can actually operate
- Migrations from data centre to cloud, and from cloud back to bare metal when the maths says so
AI & applied ML
Retrieval, agents, evaluation pipelines, fine-tuning. We build the unglamorous parts — datasets, evals, guardrails — so the glamorous parts can actually ship.
- Retrieval and agentic workflows with hardened eval harnesses
- Fine-tuning and distillation for cost and latency
- Production guardrails — content, PII, jailbreak, and rate-shaping
Data engineering & analytics
Warehouses, data contracts, real-time pipelines, and the unglamorous job of getting everyone to agree what "active user" means. We work in dbt, Snowflake, and the language of your finance team.
- Modern warehouse builds on Snowflake, BigQuery, or Redshift
- Streaming pipelines on Kafka, Flink, and Kinesis
- Semantic layers and contracts that survive a re-org
Mobile applications
iOS and Android, native and React Native. App-store-grade user experience with a hardened release pipeline, crash-free rates north of 99.9%, and a posture that survives OS migrations.
- Native iOS (Swift) and Android (Kotlin) — for when performance matters
- React Native — for when shared codebase matters
- Release engineering, crash triage, and post-launch operating posture
Modernisation & rescue
When the codebase has become the company's problem. We use strangler patterns, contract testing, and aggressive observability to take legacy systems back from the cliff edge without stopping the business.
- System diagnostics and remediation plans (fixed fee, two weeks)
- Strangler-pattern migrations with feature parity guarantees
- On-call stabilisation programs for teams in firefight mode
Three shapes that cover most of the work.
If your situation doesn't fit, we'll write a custom statement of work — and we'll tell you which of these is closest, with the price delta.
Diagnostic
Two weeks, fixed fee. We embed, read the code, talk to the team, deliver a written assessment.
- Codebase + architecture review
- Interviews with 6–10 stakeholders
- Written diagnostic with recommendations
- Optional: scoped delivery plan
Squad
A senior squad embedded with your team for a quarter to a year. The standard delivery shape.
- Weekly demos, written status, no decks
- Trunk-based development in your repo
- On-call participation if applicable
- Hard budget ceiling, time-and-materials
- Same engineers from kickoff to handoff
Operate
Retainer-shaped engagement to keep a system you own running. On-call, runbooks, incident response.
- PagerDuty rotation, 24/7 coverage
- Quarterly architecture review
- Capacity for small enhancements
- Cancel with 60 days notice
Industries we're built for.
We're not generalists. These are the domains we've picked to be excellent in. If yours isn't here, ask — we'd rather decline than take work we can't do well.
Financial services
Ledgers, payments, settlement, regulated risk surfaces.
Healthcare
EMR re-platforms, HIPAA-grade data infrastructure, clinical decision tools.
Logistics & supply chain
Routing, freight, fleet ops, real-time tracking.
Energy & utilities
Grid telemetry, forecasting, regulated reporting.
Retail & DTC
Storefronts, order systems, loyalty, customer data platforms.
Manufacturing
MES, telemetry, predictive maintenance, plant analytics.
Buyers ask us these.
Rarely a good outcome. Our engineers are sharpest as a team — the work product is in the squad shape. If you need staff augmentation, we'll honestly tell you which firms do it well.
Diagnostics start at $24k. Squad engagements typically run 3–12 months and start at about $144k for the smallest viable shape. We don't do work below that floor.
For diagnostics, yes. For delivery, no — fixed-bid almost always punishes the buyer in scope-change moments. We use time-and-materials with a written ceiling and a credible burn-down.
Work-for-hire by default. We retain rights to any code we contribute to open source (we will tell you what those are in writing) and any reusable internal libraries we bring with us.
Yes. Our standard mutual NDA takes about 24 hours to turn around. We can also sign yours; expect about a week with redlines.
Singapore. Aviom Labs Pte. Ltd. is Singapore-incorporated and Singapore-based. All engineers are on Aviom Labs payroll, full-time. We don't subcontract and we don't use offshore back-offices.
Tell us what you're trying to ship.
If we can help, we'll send a proposal in a week. If we can't, we'll tell you who can.