Engineering studio

Modern web platforms, built for AI.

An independent engineering studio. We design and ship products where the web, the platform, and AI work as a single system.

[ Who we are ]

The modern web sprawled. Frameworks fragmented, AI got bolted on as an afterthought, and every layer fights the next. Most teams ship feature factories that no one can evolve six months later.

Data Partner was founded to close that loop. We pair full-stack engineering with applied AI, building products as systems, every component intentional, every decision documented, every shipped line designed to compound.

An engineered methodology

Six disciplines running as one loop. Discovery shapes architecture, architecture informs design, and operations data sharpens every cycle.

Full-stack + AI specialists

Engineers, designers, ML practitioners and platform operators. One team, end-to-end accountability, no hand-offs between silos.

Proprietary AI tooling

In-house platforms for retrieval, agent orchestration, observability and rapid prototyping. We use them on every build.

[ The process ]

Six disciplines. One loop.

Every project moves through the same six stages. Each one compounds the next. Click a pillar to see what happens inside it.

01 Discovery

What is actually broken, and what would solving it unlock?

We start by listening, not building. Stakeholder interviews, product audits, and quantitative analysis to ground every later decision in evidence, not assumptions.

Stakeholder interviews Product audit Analytics review Competitive teardown
[ The stack ]

The tools we ship with daily.

Battle-tested infrastructure across the modern web and AI ecosystem. We pick the right pieces for the problem, not the hype cycle.

Vue
React
Next.js
Astro
Tailwind
TypeScript
Node.js
Python
Laravel
Docker
PostgreSQL
Supabase
Vercel
Cloudflare
AWS
Anthropic
OpenAI
MySQL
Pinecone
Stripe
[ Proven impact ]

Engineered to compound.

A decade of compounding output across web platforms, internal tools, and AI-native products. The system keeps producing, so clients keep running it.

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Client retention

Long-term partnerships outnumber one-off projects 4:1.

0+
Products shipped

From greenfield MVPs to enterprise rebuilds.

0yr
Track record

Patterns refined across hundreds of engagements.

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Specialists in-house

Engineers, designers, AI practitioners, no agency middlemen.

[ The ecosystem ]

One team. Three specialist tracks.

Data Partner operates through three integrated practices. You work with one team. Behind the scenes, the right specialists are matched to the work the project demands.

Web Engineering

The team that ships the product

Marketing sites, SaaS dashboards, internal tools, full rebuilds. Modern stacks (React, Next, Astro, TypeScript) with engineering rigor, not jQuery dressed up as strategy.

AI Integrations

The team that makes products think

LLM integrations, retrieval-augmented systems, agent pipelines, custom assistants. We build AI features that do real work, with evals, guardrails and cost ceilings.

Platform & DevOps

The team that keeps it running

Cloud architecture, CI/CD, observability, on-call. Vercel, AWS, Cloudflare, wired together so the product is fast, debuggable, and quiet at 3am.

[ Our clients ]

The teams we partner with.

From enterprise platforms to local businesses, the same rigor on every project.

[ Featured project ]
Sector Marketing group
Scope Marketing tech, Group platform
Engagement 5+ years, ongoing

Engineering the platforms behind a global marketing group.

Internal tools, AI infrastructure, and client-facing platforms across the CodeSM Group, Metia, MaaS, codesm.ai, Cody. One technical ecosystem powering multiple operating brands across 88 markets.

Platform AI Internal tools Web Multi-brand
Strategic advisory

Platforms for Metia's brand positioning, research, and go-to-market advisory work.

AI assistant

Custom AI assistants trained on company knowledge. Web platform, API, and embeds for internal AI deployment.

Marketing-as-a-Service

Web platform and workflow tools for the on-demand marketing service operating across 88 markets.

Applied intelligence

AI engineering across the CodeSM stack, assistants, automation pipelines, and intelligence layered into existing products.

Fleet management

SaaS platform for managing road transport fleets. Vehicles, drivers, routes, compliance and fuel costs in one place.

Enterprise, RPA

Robotic process automation for NTT Data's enterprise clients, bots and pipelines that turn manual workflows into auditable systems.

SaaS, CRM

Marketing-to-revenue platform with lead scoring and pipeline automation.

Tech & media

Engineering for high-traffic platforms, performance, scale, and delivery infrastructure.

Hospitality

Digital ordering and reservation system, wired into the restaurant's daily flow.

Hospitality

Online ordering, menu management, and delivery tracking for a local pizza chain.

[ Get in touch ]

The system is proven.
The team is here.
Now show us your idea.

Whether you're rebuilding a tired stack, adding AI to an existing product, or starting from a blank page, we'll help you architect it right the first time.