Enterprise engineering across the full software lifecycle.
Five core practices. Two supporting disciplines. One senior team that owns outcomes from discovery to operations. Every engagement ships code you own, in pipelines you control, on telemetry you can see.
Where most of our engineering hours go.
AI & ML Engineering
Models that pay for themselves
What we do
Applied machine learning tied to operational KPIs. We build forecasting, computer vision, NLP, anomaly detection and grounded GenAI systems for enterprise operations. Not research prototypes, not notebook demos.
How we do it
- Use-case discovery with operators, not just data scientists
- Feature pipelines, model registry, CI/CD for models, monitoring
- Grounded RAG with evaluation harnesses and PII safeguards
- Reverse ETL into the systems where decisions actually get made
Where it fits
Maintenance planning, quality inspection, demand forecasting, fraud, copilots over CMMS and ERP.
IoT Solutions
From sensor to shop floor decision
What we do
End-to-end IoT, from edge firmware to ingestion at petabyte scale to digital twins. Our teams write C, C++ and Rust for the device, and Go, Python and TypeScript for the cloud.
How we do it
- Sensor and gateway selection, secure boot and OTA from day one
- Time-series pipelines on Kafka, Pulsar, Timescale and ClickHouse
- Digital twins with bi-directional control loops
- Predictive maintenance wired into CMMS work orders, not dashboards
Where it fits
Rolling stock fleets, plants, substations, logistics networks, energy assets.
ERP Development
Composable ERP, not another monolith
What we do
Modular, API-first ERP platforms for finance, supply chain, manufacturing and HR. We replace brittle legacy stacks or extend existing ones through a strangler pattern so operations never stop.
How we do it
- Domain-driven modules with clean boundaries you can replace one at a time
- Strangler migrations from SAP, Oracle EBS, Dynamics or in-house builds
- Workflow and approval engine with audit trail and SLAs
- Embedded analytics and write-back planning inside the ERP UI
Where it fits
Multi-entity manufacturers, distributors, railway OEMs, asset-heavy operators.
SaaS Product Development
Built the way enterprise buyers actually buy
What we do
Multi-tenant SaaS platforms engineered with the things enterprise procurement asks for on day one: SSO, SCIM, audit logs, usage metering, tenant data residency and SOC 2-ready observability.
How we do it
- Tenancy model chosen on purpose (pool, silo or hybrid), not by accident
- Usage-based billing, metering and revenue recognition wired to Stripe or in-house ledgers
- OIDC, SAML, SCIM, fine-grained RBAC from the first sprint
- OpenTelemetry, per-tenant SLOs and runbooks before GA
Where it fits
Vertical SaaS for regulated industries, B2B platforms, enterprise internal products.
Web & Mobile Engineering
Software that survives the field, not just the showroom
What we do
Production-grade web and native mobile applications engineered for industrial environments where networks drop, devices are shared and screens are dirty.
How we do it
- React, Next.js and TanStack with strict TypeScript and performance budgets
- Swift and Kotlin native apps, React Native where it earns its place
- Offline-first sync with CRDTs, resilient queues and conflict resolution
- Design systems, accessibility at WCAG 2.2 AA, automated visual regression
Where it fits
Depot and warehouse floor apps, field service, clinical workflows, enterprise admin.
The disciplines every enterprise platform needs.
Cloud & DevOps
Platforms that absorb scale and survive audits
What we do
Cloud landing zones, GitOps pipelines, Kubernetes platforms and FinOps practices for AWS, Azure and GCP. We build the plumbing so your engineers stop fighting their own infrastructure.
How we do it
- Multi-account or multi-subscription landing zones with policy-as-code
- Kubernetes with service mesh, progressive delivery and tenant isolation
- GitOps with ArgoCD or Flux, SLSA-provenance build pipelines
- FinOps with showback, rightsizing and engineering cost ownership
Where it fits
Any company running production workloads where downtime is measured in revenue.
Cybersecurity & Compliance
Security engineered in, not bolted on
What we do
Security engineering programs for SOC 2, ISO 27001, GDPR, HIPAA and rail-specific TS 50701. Threat modeling, penetration testing, zero-trust IAM and compliance automation.
How we do it
- Threat modeling (STRIDE, PASTA) inside engineering sprints
- Zero-trust IAM with workload identity and short-lived credentials
- Evidence pipelines wired to Drata, Vanta or in-house GRC
- Incident response retainers with measurable MTTR targets
Where it fits
Regulated SaaS, healthcare, finance, railway and public sector engagements.
Three shapes that actually work.
Architecture Review
A fixed, two to four week engagement. We audit your current system, produce a target architecture and a migration plan. You keep the deliverable whether or not we continue together.
Build Pod
A senior pod embedded into your roadmap for 3 to 12 months. Two-week sprints, clear outcomes, production telemetry from day one. You own the code and the pipelines.
Operate Partnership
Long-term ownership of a platform we built or inherited. SRE, FinOps, security posture and continuous improvement with measurable SLOs.
Need a senior engineering partner?
Talk to a solutions architect about your ERP, IoT, SaaS or AI program. We will tell you within one conversation if we are the right fit.