Ship production-grade software in weeks, not months.
Senior engineers, architecture-first, AI-accelerated. From MVP to AI integration and platform modernization — built right the first time.
10+
Years engineering
40+
Products shipped
99.95%
Uptime target
P95 < 200ms
Performance budget
Selected engagements — anonymized for client confidentiality
Seed-stage AI startup, US
Production MVP shipped in 7 weeks, seed-ready
Series B Healthtech, EU
Legacy platform rebuilt, P95 latency down 4×
Growth-stage SaaS, UK
Usage-based billing system, zero revenue leakage
Services
One team. Strategy through production.
From product discovery to scaled operations — one accountable engineering partner across the lifecycle.
Why Ometa
An engineering partner, not an agency.
We optimize for the system you'll be operating two years from now — not the demo you'll show next week.
Architecture-led delivery
Every engagement starts with a written system design, ADRs, and a measurable definition of done.
Senior engineers only
No staff augmentation, no juniors learning on your budget. Every commit is reviewed by a senior.
Operate like an in-house team
Linear, Slack, your repo, your standards. Weekly written updates and a live demo every Friday.
Production discipline
Observability, CI gates, performance budgets, and runbooks shipped with the feature — not after.
AI-native engineering
AI accelerates the work. Senior engineers own the outcome.
We use LLMs across planning, codegen, review, testing, and documentation — measurably faster delivery without compromising on architecture, correctness, or operability. Every change is reviewed by a senior engineer before it lands.
AI engineering checklist
- AI-assisted codegen, refactors, and test generation — reviewed by senior engineers
- Architecture and ADRs written by humans; LLMs accelerate, they don't decide
- Evaluation harnesses and CI gates for every LLM-powered feature
- Prompt, model, and dataset versioning with rollback
- Per-request cost and latency observability
- Graceful degradation paths when models fail, drift, or throttle
Technical depth
The hard parts, owned end-to-end.
The systems work most teams outsource or postpone — we treat as table stakes.
Real-time systems
WebSocket fan-out, presence, CRDTs, and event-driven backbones.
PostgreSQL at scale
Schema design, partitioning, indexes, and query tuning beyond ORMs.
Distributed messaging
Queues, streams, and exactly-once semantics where it matters.
Performance engineering
P95 latency budgets, profiling, and load-tested release gates.
Platform & DX
Internal tooling, type-safe APIs, and CI pipelines engineers respect.
Security & compliance
RLS, audit logs, secrets hygiene, SOC2-ready delivery practices.
How we work
A delivery process built for compounding velocity.
Discovery to scale — predictable cadence, written artifacts at every step.
01
Discover
Goals, constraints, success metrics, and a written scope.
02
Architect
System design, data model, integration map, ADRs.
03
Build
Tight iteration loops with weekly demos and shipped increments.
04
Scale
Observability, performance budgets, runbooks, handover.
Case studies
Outcomes, not anecdotes.
Selected engagements with measurable production results.
Rebuilding Lumen Health's clinician platform
A regional health network's clinician-facing platform was buckling under usage. We rebuilt the core, dropped P95 latency by 85%, and shipped three new modules in the process.
Read case study
Shipping Kestrel AI's seed-stage product in 7 weeks
A two-founder team needed a paying-customer-ready AI product before their seed round. We built it — auth, billing, evals, and all — in 7 weeks.
Read case study
Untangling Northwind's billing system
Northwind's billing had grown into a tangle of exceptions, manual fixes, and quarterly revenue surprises. We rebuilt it on a proper ledger and reconciled four years of history.
Read case study
Industries
Domains we know cold.
Pattern libraries, integrations, and regulatory context we bring on day one.
AI-Native Startups
The plumbing that turns model demos into reliable, observable, billable products.
Explore
Enterprise & Digital Transformation
Modern web and data platforms for organizations re-platforming off legacy stacks.
Explore
Fintech & Payments
Ledgering, reconciliation, KYC, and the operational rigor financial software demands.
Explore
Healthtech & Life Sciences
Patient-facing apps, clinician tools, and the compliance posture they require.
Explore
SaaS & Product Companies
Multi-tenant SaaS, billing, onboarding, retention — the full operating system of a software business.
Explore
Stack
Modern tools. Boring choices. Predictable outcomes.
We pick technology for its long-term maintainability — not its hype cycle.
Clients
What teams say after shipping with us.
"Ometa rebuilt our backend in 6 weeks. P95 latency dropped from 1.2s to 180ms and we shipped 3 features the same month."
Priya Raman
CTO · Lumen Health
"They behave like a senior in-house team — architecture decisions are documented, reviewed, and explained."
Marcus Hale
Founder · Kestrel AI
"Best engineering partner we've worked with. They pushed back on the right things and shipped the rest fast."
Aisha Okafor
VP Product · Northwind SaaS
FAQ
Answers, before you ask.
Let's build
Have a system to build or scale?
Start with a short discovery call, or send full project details if you're ready. Either way, a senior engineer responds within one business day.