01Cloud Platform · 2025
Helio Grid
Helio Energy
A real-time control plane for 40,000 distributed solar assets across three continents.
- 11s
- Fault detection
- 40k
- Assets live
- 3
- Tools retired
- Next.js
- Kafka
- PostgreSQL
- Three.js
Engineering the Future
Engineering DigitalExperiencesThat Inspire
We build world-class websites, applications, AI solutions and digital platforms for ambitious companies.
- Projects delivered
- 240+
- Countries served
- 19
- Avg. Lighthouse
- 98
About Code Copper
Inside the cube is a city we built.
Code Copper is a product engineering studio. Every building in the skyline above stands for something we put into production — a platform, a storefront, a copilot, a control plane — and every line between them is a system that had to keep talking to another system.
To help startups and enterprises build modern, scalable, and intelligent digital products.
We work as one senior team across research, design, architecture and delivery. No handoff between agencies, no translation loss between the people who designed it and the people who have to keep it running.
- Products shipped
- 240+Products shipped
- Countries served
- 19Countries served
- On-scope delivery
- 98.4%On-scope delivery
2016
Founded in Austin
Three engineers, one rule: ship things we would be willing to maintain ourselves.
2019
Cloud practice
Infrastructure moved in-house so architecture and delivery stopped being separate conversations.
2022
Design system era
Every engagement began shipping with tokens, documentation and a real component library.
2024
AI engineering
Retrieval and agentic workflows joined the stack — with eval harnesses, not demos.
What we build
Eight disciplines. One delivery team.
Each card is a practice we staff with senior people. Open one to see what actually lands in your repository at the end of an engagement.
- 01
Custom Websites
Marketing sites that convert and never feel templated.
- 02
Web Applications
Complex product surfaces built to stay maintainable.
- 03
Mobile Apps
Native-feeling iOS and Android from one codebase.
- 04
AI Automation
LLM systems with guardrails, evals and cost control.
- 05
Cloud Engineering
Infrastructure that survives your growth curve.
- 06
UI/UX Design
Interface craft grounded in real user research.
- 07
API Development
Contracts that outlive the clients consuming them.
- 08
Maintenance
A team on retainer that knows your codebase cold.
How we work
A process built to remove surprises.
Eight stages, each with a named output. You always know what exists at the end of the week and what it unlocks next.
01 — Week 1
Discover
We map the business outcome before the feature list — stakeholders, constraints, existing systems and the metric that decides whether this project worked.
- Stakeholder map
- Success metrics
- Constraint log
02 — Week 1–2
Research
User interviews, competitive teardown and a technical spike on anything genuinely unknown. We de-risk the scary part first, not last.
- User insights
- Technical spike
- Risk register
03 — Week 2–4
Design
Flows, wireframes and a high-fidelity prototype backed by design tokens. You click through the real thing before a single production component exists.
- Interactive prototype
- Design tokens
- Motion spec
04 — Week 3–4
Architecture
Data model, service boundaries, rendering strategy and deployment topology — written up as decision records so the reasoning survives the handover.
- ADRs
- Data model
- Infra plan
05 — Week 4–12
Development
Two-week increments against a live preview environment. Every pull request ships behind review, type checks and an automated accessibility pass.
- Preview per PR
- Typed codebase
- Storybook
06 — Continuous
Testing
Unit, integration and end-to-end coverage on the paths that carry revenue, plus load tests and a manual screen-reader run before every release.
- E2E suite
- Load profile
- WCAG 2.1 AA audit
07 — Launch week
Deployment
Blue-green rollout, feature flags, rollback triggers agreed in advance, and dashboards live before traffic arrives — not after the first incident.
- Zero-downtime release
- Runbook
- Dashboards & alerts
08 — Ongoing
Support
A named engineer on retainer, quarterly performance and security audits, and a roadmap review so the product keeps compounding after launch.
- SLA cover
- Quarterly audit
- Roadmap review
Technology
The stack we actually run.
Not a logo wall. These are the runtimes, platforms and models our engineers are on call for. Hover a node — or any chip below — for where it fits.
Frontend
Backend
Cloud
Data
AI
We add a tool when a project needs it and we can support it for years — not when it trends. Anything on this list has run in production under a Code Copper SLA.
Selected work
Shipped, measured, still running.
Six engagements with numbers attached. Every panel links to the full case study — the constraint, the decisions, and what changed afterwards.
- 02Enterprise Software · 2025
Northbank
Northbank Financial
A regulated onboarding platform that cut commercial account opening from nine days to under an hour.
- 52 min
- Onboarding time
- -61%
- Abandonment
- 0
- Audit findings
- Next.js
- NestJS
- PostgreSQL
- Temporal
- 03AI Solution · 2024
Atlas Copilot
Atlas Logistics
A retrieval copilot over two decades of freight contracts, evaluated on every release.
- 94%
- Eval accuracy
- 5/wk
- Hours saved / analyst
- 180k
- Documents indexed
- Python
- FastAPI
- pgvector
- Claude
- 04Web Experience · 2024
Meridian Studio
Meridian Interiors
An immersive product configurator that turned a catalogue into a revenue channel.
- 2.3x
- Conversion
- 2.4MB
- Scene payload
- 98
- Lighthouse
- Three.js
- React
- GLSL
- Sanity
- 05Mobile App · 2024
Pulse Health
Pulse Care Network
An offline-first clinical companion used across 240 rural care sites.
- 0
- Data loss
- 1.1s
- Cold start
- 240
- Care sites
- React Native
- SQLite
- Node.js
- AWS
- 06Digital Transformation · 2023
Forge Commerce
Forge Supply Co.
A headless replatform that took an industrial catalogue of 210,000 SKUs to the edge.
- 0.9s
- Category render
- +78%
- Organic traffic
- 210k
- SKUs
- Next.js
- Algolia
- Sanity
- Cloudflare
Case studies
Three problems worth reading about.
01 · Cloud Platform
Helio Grid
Helio Energy · 2025
Operators were reconciling telemetry across four legacy dashboards, and a fault could take nineteen minutes to surface. Every minute of delay cost measurable generation revenue.
- 11s
- Fault detection
- 40k
- Assets live
- 3
- Tools retired
What we did
Replaced polling with an event-driven ingest pipeline on Kafka, collapsing four dashboards into one control plane.
Modelled asset hierarchy in PostgreSQL with time-partitioned telemetry and continuous aggregates.
Built a WebGL site map that renders 40k live nodes at 60fps using instanced geometry.
Shipped an incident timeline that replays any fault window frame by frame.
Fault detection dropped from nineteen minutes to under eleven seconds, and the operations team retired three internal tools in the first quarter.
Full case study — Helio Grid
- Next.js
- Kafka
- PostgreSQL
- Three.js
- AWS
- Terraform
02 · Enterprise Software
Northbank
Northbank Financial · 2025
Commercial onboarding involved eleven handoffs, six PDFs and a compliance review that ran entirely over email. Drop-off after step three exceeded 40%.
- 52 min
- Onboarding time
- -61%
- Abandonment
- 0
- Audit findings
What we did
Rebuilt the flow as a resumable, server-rendered wizard with per-step persistence.
Automated KYB checks through a rules engine with a full audit trail for regulators.
Introduced a reviewer console with queue prioritisation and SLA visibility.
Instrumented every step so the compliance team could see drop-off in real time.
Account opening now completes in fifty-two minutes on average, and abandonment fell by 61% within two quarters.
Full case study — Northbank
- Next.js
- NestJS
- PostgreSQL
- Temporal
- Azure
- Entra ID
03 · AI Solution
Atlas Copilot
Atlas Logistics · 2024
Contract analysts spent roughly six hours a week locating clauses across 180,000 scanned documents, and confidence in generic AI search was low after a failed pilot.
- 94%
- Eval accuracy
- 5/wk
- Hours saved / analyst
- 180k
- Documents indexed
What we did
Built an OCR and chunking pipeline tuned for scanned freight paperwork.
Combined hybrid retrieval with reranking, then grounded every answer in a citation.
Shipped an eval harness of 400 analyst-written questions gating each deploy.
Capped per-query cost and latency with a routing layer across model tiers.
Analysts recovered roughly five hours each week, and answer accuracy holds at 94% against the eval suite release over release.
Full case study — Atlas Copilot
- Python
- FastAPI
- pgvector
- Claude
- Next.js
- AWS
Why Code Copper
The difference is what survives launch.
Anyone can produce a build. The question is what your team inherits on the Monday after we leave.
Typical agency
Code Copper
- Experience
- Static templates
- Experience
- Interactive, motion-led experiences
- Performance
- Slow, unbudgeted pages
- Performance
- Sub-second loads, enforced in CI
- Architecture
- Generic boilerplate
- Architecture
- Scalable systems with written ADRs
- Technology
- Outdated stacks
- Technology
- Modern runtimes, kept current
- Intelligence
- AI bolted on
- Intelligence
- AI-powered workflows with evals
- Handover
- Undocumented drop
- Handover
- Documented, owned, supported
Senior-only delivery
The engineers in the pitch are the engineers on the build. No pyramid staffing, no silent handoff to juniors after week two.
Budgets, not promises
Performance, accessibility and cost targets are written into the contract and enforced by automation on every pull request.
Decisions on the record
Every architectural choice ships with a decision record, so your team can defend and revisit it long after we leave.
Built to be handed over
Typed codebases, seeded environments and runbooks. Ownership transfer is the deliverable, not an afterthought.
Client voices
What it is like on the other side.
Six engagements, six people who had to live with the result afterwards.
5 out of 5 stars
“They rewrote our control plane while it was carrying live production load and we never lost a minute of telemetry. The architecture decisions were documented well enough that our own team took ownership on day one.”
Testimonial 1 of 6: Marisol Vega, Helio Energy.
By the numbers
Nine years of compounding work.
- 240+
- Projects Delivered
- 86
- Clients Partnered
- 19
- Countries
- 9
- Years Engineering
- 98.4%
- Success Rate
Shipped to production across web, mobile, cloud and AI.
From seed-stage startups to listed enterprises.
Teams and users across four continents.
Building since 2016, through four framework eras.
Projects delivered to agreed scope, budget and date.
Engagement models
Three ways to work with us.
Ranges, not quotes. The real number comes out of discovery — but you should know the order of magnitude before you write the first email.
Discovery Sprint
2–3 weeks
from $18k
De-risk the idea before committing a budget. You leave with a prototype and a costed plan.
- Stakeholder and user research
- Clickable prototype
- Technical architecture outline
- Costed delivery roadmap
- Most chosen
Product Build
3–6 months
from $95k
End-to-end delivery of a production system, from design system through launch and handover.
- Dedicated senior squad
- Design system and component library
- CI/CD, IaC and observability
- WCAG 2.1 AA and performance budgets
- Documented handover
Embedded Partner
Rolling
from $14k / month
A standing team inside your roadmap — for organisations shipping continuously.
- Named engineers on retainer
- Quarterly security and perf audits
- Roadmap and architecture review
- Priority incident response
Fixed-scope, time-and-materials and outcome-based contracts are all available. Whatever the structure, performance and accessibility targets are written into it.
Contact
Let's build something extraordinary.
Tell us what you are trying to build and what is in the way. A senior engineer reads every enquiry — you will not be routed through a qualification funnel.
- hello@codecopper.com
- Phone
- +1 (415) 555-0134
- Studio
- 4 Bridgewater Street, Austin, TX 78701