Accelerated
code and design
Design systems have always been about creating consistency at scale. We take that thinking further by building a system in design and carrying it into production. What ships is what was designed.
Accelerated
Accelerated
Accelerated
code
code
& design
& design
& design
Execute better with few weeks what earlier couldve taken you years of toil
Built for agents to work from
Built for agents to work from
The infrastructure and discipline that make agent-driven work trustworthy at speed.
Repo readiness
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Reusable foundations
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Deployment confidence
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Verification & memory
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
Repo readiness
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Reusable foundations
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Deployment confidence
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Verification & memory
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
Repo readiness
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Reusable foundations
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Deployment confidence
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Verification & memory
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
Under the hood
Under the hood
The infrastructure and discipline that make agent-driven work trustworthy at speed.
Code
Design
Agents in the loop
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Agents in the loop
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Agents in the loop
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Agents in the loop
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Agents in the loop
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Nature of agents
Nature of agents
The infrastructure and discipline that make agent-driven work trustworthy at speed.
Repo readiness
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Reusable foundations
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Deployment confidence
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Verification & memory
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
Repo readiness
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Reusable foundations
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Deployment confidence
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Verification & memory
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
Repo readiness
Infrastructure-as-code, repo-visible context, and clean separation of concerns give agents unambiguous ground truth about where and how to build. Nothing needs to be explained twice.
Reusable foundations
Repeatable building blocks for auth, search, storage, and notifications, ready to assemble and customize. Agents build from known patterns instead of generating from scratch each time.
Deployment confidence
Fast, low-touch deployment and rollback make a bad change cheap to undo. That safety net is what lets you take on faster, larger AI-driven changes without losing trust.
Verification & memory
Test cases catch faulty execution early. Continuous documentation keeps a live source of truth, and shared context across agents and teams means nothing gets rediscovered or contradicted
Built by Canvs
Built by Canvs
OMNI BY CANVS
Lightning-fast design systems
A proprietary system for spinning up design foundations fast, then handing them off to an agent or straight into Figma.
Foundational setup in minutes
Generate complete color scales, type systems, and grids from a single input, with automatic token generation.
Test and modify in place
See tokens rendered in a real UI instantly. Adjust anything in place to test and get instant validation before exporting.
Export anywhere
Push straight to Figma, or copy a ready instruction for your AI agent. Same tokens, whichever workflow you're in.
OMNI BY CANVS
Lightning-fast design systems
A proprietary system for spinning up design foundations fast, then handing them off to an agent or straight into Figma.
Foundational setup in minutes
Generate complete color scales, type systems, and grids from a single input, with automatic token generation.
Test and modify in place
See tokens rendered in a real UI instantly. Adjust anything in place to test and get instant validation before exporting.
Export anywhere
Push straight to Figma, or copy a ready instruction for your AI agent. Same tokens, whichever workflow you're in.
OMNI BY CANVS
Lightning-fast design systems
A proprietary system for spinning up design foundations fast, then handing them off to an agent or straight into Figma.
Foundational setup in minutes
Generate complete color scales, type systems, and grids from a single input, with automatic token generation.
Test and modify in place
See tokens rendered in a real UI instantly. Adjust anything in place to test and get instant validation before exporting.
Export anywhere
Push straight to Figma, or copy a ready instruction for your AI agent. Same tokens, whichever workflow you're in.
financial intelligence for smeS
Talk to your cashflow
Every transaction matched to its invoice, payroll record or tax payment as it lands. Then ask the books a question and get the answer from the books.
AI powered chat
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Feature 2
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Feature 3
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
financial intelligence for smeS
Talk to your cashflow
Every transaction matched to its invoice, payroll record or tax payment as it lands. Then ask the books a question and get the answer from the books.
AI powered chat
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Feature 2
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Feature 3
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
financial intelligence for smeS
Talk to your cashflow
Every transaction matched to its invoice, payroll record or tax payment as it lands. Then ask the books a question and get the answer from the books.
AI powered chat
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Feature 2
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Feature 3
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
ambient research
Always-on market intelligence
A system that follows chosen subjects and sources on a schedule, connects new findings with earlier work and builds a library your team can question directly. Every answer carries its sources, including research from an earlier project that has become useful again.
Deep research agents
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Always on, always learning
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
New findings patch old claims
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
ambient research
Always-on market intelligence
A system that follows chosen subjects and sources on a schedule, connects new findings with earlier work and builds a library your team can question directly. Every answer carries its sources, including research from an earlier project that has become useful again.
Deep research agents
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Always on, always learning
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
New findings patch old claims
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
ambient research
Always-on market intelligence
A system that follows chosen subjects and sources on a schedule, connects new findings with earlier work and builds a library your team can question directly. Every answer carries its sources, including research from an earlier project that has become useful again.
Deep research agents
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Always on, always learning
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
New findings patch old claims
Execute better with few weeks what earlie. Execute better with few weeks what earlier couldve taken you years of toil
Writings
Writings
Writings
Studio Tooling
2 Sep, 2026
Making each inquiry useful to the next: How research is now non-linear at Canvs
Making each inquiry useful to the next: How research is now non-linear at Canvs
The most useful research question is often one that may not arise at the beginning of a project. Premankan Seal writes about building a persistent research system that follows questions as they emerge, draws on what earlier projects uncovered and brings evidence into decisions while they are still open.
Studio Tooling
27 aug, 2026
Building LocalKit to keep routine file jobs local
Building LocalKit to keep routine file jobs local
A client privacy constraint nudged Himanshu into building his own tool for small file jobs. He talks about how he built it and how that maps to the way he builds with agents generally.
Studio Tooling
25 Aug, 2026
Putting the studio’s memory to work: Ambient intelligence at Canvs
Putting the studio’s memory to work: Ambient intelligence at Canvs
For more than a decade, Canvs has documented the choices and reasoning around its projects. We talk about the intelligent system we are building that is always learning and contextualizing what it picks up, bringing that history into decisions as they happen.
Bring us the thing that
you’ve been stuck on
Bring us the thing that
you’ve been stuck on
We work on serious products with teams who think long-term. Tell us what isn't moving and we'll tell you how we can move it.
Let’s build together
We’re always open for exciting work and genuine connections. Feel free to drop us a line of follow us on our socials for updates
Let’s build together
We’re always open for exciting work and genuine connections. Feel free to drop us a line of follow us on our socials for updates
Subscribe to Design & Tech Weekly
An often riveting list of design and tech resources!
©2025 Canvs
Subscribe to Design & Tech Weekly
An often riveting list of design and tech resources!
©2025 Canvs
Subscribe to Design & Tech Weekly
An often riveting list of design and tech resources!
©2025 Canvs