EncodedArt · AI Strategy & Build Studio

We turn
encoded data
into product.

We are a full-service AI partner for companies that want to move. We set the strategy, then design, build, and ship the actual product. Start to finish, on real infrastructure, with the speed and the margins to make it pay.

40+
Apps shipped to production
15yrs
Engineering leadership in the room
~2s
Edge + cloud AI response loops
88%
Gross margin on shipped AI products
01 · What we do

Strategy and build, under one roof.

Most teams have to choose between consultants who advise but never ship, and shops that build whatever you ask without a point of view. We do both, and we own the result.

/ 01

AI strategy & roadmap

We figure out where AI actually earns its keep in your business, and where it doesn't. We put the use cases through their paces, benchmark models against real cost and latency, and hand you a build plan your team can run on.

Use-case mappingModel benchmarkingBuild vs. buyCost & latency
/ 02

End-to-end product build

From an empty repo to the App Store. Mobile, web, and the backend underneath it, all built and launched by the same team that scoped it. Nothing gets thrown over a wall.

iOS / AndroidFlutterWebCloud infra
/ 03

Applied AI engineering

LLM orchestration, RAG, multimodal vision, and on-device inference wired into real products. Quality gates so the model doesn't grade its own work, and pipelines that hold up under concurrent load.

LLM & RAGMultimodal / VLMEdge AIOrchestration
/ 04

Data platforms & intelligence

The unglamorous layer that makes AI trustworthy: lakehouse architecture, governance, row-level security, and near-real-time analytics with a natural-language layer on top.

LakehouseGovernance / RLSBI & CopilotMulti-tenant
02 · Selected work

Shipped, not slideware.

Live products with real users, real margins, and real infrastructure behind them. A sample of what the team has put into the world.

03 · How a build runs

From encoded data to a thing that ships.

Every engagement moves through the same four stages. Each one ends in something you can hold: a decision, a prototype, a release.

01 / Decode

Find where AI pays

We map your data and your workflows against what models can actually do today. That tells the use cases that move a number apart from the ones that only look good in a demo.

DiscoveryData auditROI mapping
02 / Design

Architect for cost & latency

We pick the models, draw the system, and decide what runs on the device and what runs in the cloud. We benchmark the candidates on quality, latency, and cost before a line of product code gets written.

Model selectionSystem designBenchmarks
03 / Build

Engineer the real product

Mobile, web, backend, and the AI orchestration in between. The team that scoped it is the team that builds it, with quality gates and load testing in from day one.

Full-stackOrchestrationQuality gates
04 / Ship

Launch, measure, hand over

To stores, to production, to your team. We instrument what matters, tune the unit economics, and leave you with a system your engineers can own.

LaunchObservabilityHandover
04 · The team

A senior bench, not a body shop.

EncodedArt is a tight studio of strategists, AI engineers, mobile architects, and data specialists. People who have led at scale and still write the code themselves. The kind of brands our team has built for:

Major Canadian banks North America's busiest airport Fortune 500 automotive Global streaming platforms National retail Leading insurers Major Canadian banks North America's busiest airport Fortune 500 automotive Global streaming platforms National retail Leading insurers
12+
Specialists across AI, mobile & data
4
Disciplines, one accountable team
3
Continents of delivery experience
24/7
Production systems we keep alive
Let's build

Have a problem worth encoding?

Tell us what you're trying to move. We'll give you a straight answer on whether AI is the right lever, and what it would take to build it.