Live · 14 systems running production
Connecting the systems
your business runs on.
NexaLife AI engineers bespoke software for enterprises navigating real complexity — regulated data, legacy estates, and AI integration. Architecture-first. Production-grade.
nexalife — discovery — main
$ nexa scan ./platform // 4.2M LOC, 187 services
→ classifying systems by risk & coupling…
identified 14 // load-bearing drift 31% // vs source-of-truth
✓ diagnostic complete — generated migration plan in 23m
$ nexa propose --paths 3▮
— Capabilities
Six practices.
One delivery model.
Bespoke Engineering
Senior squads delivering production systems for mission-critical workloads.
- ArchitectureLead
- StackPolyglot
- SLOs99.95%
AI & Data Platforms
Governed RAG, evaluation harnesses, and LLM ops that survive procurement.
- ModelsMulti-vendor
- EvalGuardrails+
- ComplianceSOC 2 / HIPAA
Platform Modernization
Unwind monoliths into event-driven services without a freeze on the business.
- PatternStrangler fig
- Cadence2-week increments
- RollbackAlways reversible
Embedded Squads
Engineering pods that join your team, ship to your roadmap, then hand it back.
- Size3–7 engineers
- Tenure11yr average
- Engagement3–24 months
Cloud & Infra
IaC, cost-aware architectures, and observability that pays for itself in quarter one.
- CloudsAWS / GCP / Azure
- Cost-32% avg
- ObservabilityOTel-native
Security & Audit
Threat modeling, supply-chain integrity, and audit-ready posture from day one.
- FrameworksSOC 2 / ISO 27001
- PenetrationQuarterly
- SBOMContinuous
— How we engage
A delivery model designed around the parts of software that go wrong.
→ 01
Diagnostic
Two weeks on-site mapping system, org, and friction.
→ 02
Architecture
Three viable paths with cost, risk, and time-to-value.
→ 03
Build
Embedded squads ship in 2-week increments. Production from week one.
→ 04
Operate
We stay through the first 90 days post-launch. SLOs, runbooks, on-call clean.
0
Sev-1 incidents · 24mo
40+
Platforms shipped
94%
Production-first delivery
11yr
Avg engineer tenure
