SERVICES

Four pillars. Twenty-seven capabilities.

Everything below is something we architect, build, and hand over with documentation. Capabilities are grouped by the kind of problem they solve — and each is applied only where it earns its cost.

01ENTERPRISE & CORE BUSINESS

The systems the business runs on.

ERP

One system of record for operations, replacing the spreadsheet lattice holding it together.

CRM

Pipeline and customer history the sales team actually keeps current, because it costs them nothing to.

HRMS and payroll

Leave, attendance, and pay runs that close on time without a wall calendar and a prayer.

Business intelligence

Dashboards fed by modeled data, not exports — numbers two people can agree on.

Supply chain and inventory

Stock levels, procurement, and movements reconciled in one place, in near-real time.

Custom internal tooling

The workflow software nobody sells because it's specific to how your business actually works.

02CUSTOMER-FACING & DIGITAL COMMERCE

Everything the customer touches.

E-commerce ecosystems

Storefront, checkout, inventory, and fulfilment as one system — not four plugins in a trench coat.

Native and cross-platform mobile

iOS and Android from one codebase where that holds up, native where it doesn't.

Secure portals and dashboards

Customer and partner logins with the permissions model designed before the UI.

CMS builds

Editors publish without a developer in the loop; the schema keeps them out of trouble.

Product design and UX engineering

Interface decisions made in design files before they get expensive in code.

POS and booking systems

Counter and calendar software that keeps working when the connection doesn't.

03CORE ENGINEERING & INFRASTRUCTURE

Boring, observable, cheap to run.

Cloud architecture (AWS/Azure/GCP)

Sized to the load you have, priced monthly before it's provisioned.

DevOps and CI/CD

Every merge builds, tests, and deploys itself. Releases stop being events.

Data warehousing and lakes

One queryable home for the data currently scattered across seven tools.

API design and integration

Contracts written down first, versioned, and kept — internally and with third parties.

Legacy modernization

Strangler-pattern migrations off systems the business can't afford to pause.

QA and test automation

Regression suites that run on every commit, so bugs surface before customers do.

Security, hardening and compliance

Threat modeling, access control, and audit trails treated as requirements, not retrofits.

Managed support and SLAs

Named response times in writing, monitoring that pages us before you notice.

04EMERGING TECHNOLOGIES

Applied where it earns its cost.

Machine learning

Models in production with monitoring and retraining — or a written case for the heuristic instead.

LLM integration and RAG

Language models grounded in your documents, with the failure modes measured before launch.

MLOps

Versioned data, reproducible training, and deployment pipelines — the unglamorous part that makes ML real.

Computer vision and NLP

Inspection, extraction, and classification where a camera or a corpus beats a clipboard.

IoT platforms and fleets

Device provisioning, telemetry, and over-the-air updates for hardware in the field.

Robotic process automation

Scripted hands for the systems that will never get an API.

Blockchain and smart contracts

Built where a shared ledger is the actual requirement — we'll say so when it isn't.

Bring us the raw idea.

Discovery is a fixed fee. The recommendation is honest — even when it's “don't build.”