Find the right
problem.
Market research and product thinking give the work a clear purpose before the first screen is designed.
Explore product engineeringA Canadian product studioToronto, Ontario
From the first idea to the everyday ritual. We bring research, interaction design, native engineering, verification, release, and growth together to make iOS products with a point of view.
A closer look
On-device voice typing across iPhone apps.
From idea to everyday
We connect the decisions that matter: what to build, how it should feel, and what happens after release.
Market research and product thinking give the work a clear purpose before the first screen is designed.
Explore product engineeringInteraction design, Swift engineering and structured AI work together, with verification built into the process.
Inside our processPositioning, distribution and feedback turn a release into a starting point for the next product decision.
Explore product growthInside the studio
The advantage is not a model in a chat box. It is the structure around it: context, tools, orchestration, tests, feedback, and accountable decisions.
01 / PRODUCT
Research, interaction design, Swift engineering, automated testing, and release work share the same source of truth.
01 / InputUser problem + App Store signal
02 / Operating layerResearch · UX · Swift · QA
03 / OutcomeTested, release-ready iOS product
Connected capabilities
Each layer has a concrete job. Together they carry an idea from market signal to a tested product and measurable learning.
Founded in Canada
Larchwave Inc. is an AI-first iOS product company based in Toronto, Ontario. We design, build, test, launch, and grow software through structured context, specialist agents, automation, verification, and human accountability.
Based inToronto, Ontario, Canada
Operating asLarchwave Inc.
Primary focusiOS product development
Operating modelAI-first · Structured · Human-accountable
Read about LarchwaveEngineering notes
Practical notes on native iOS work, context engineering, agent orchestration, verification, and product learning.
Why speed only matters when architecture, tests, evidence, and human judgment move with it.
Read note ↗ Context engineeringReliable agents need a deliberate information boundary, not an ever-growing prompt.
Read note ↗ Agentic codingThe execution loop is changing. Product responsibility is not.
Read note ↗Start a conversation