AI-first software engineering
Built with AI. Backed by experts.
We design, build, test and operate custom software using AI-powered engineering and experienced human oversight.
AI-first software engineering
We design, build, test and operate custom software using AI-powered engineering and experienced human oversight.
AI Engineering
What we do
AI supports every discipline we offer. Experienced specialists direct the work, validate the results and stay accountable for them.

Custom software, SaaS, mobile apps, integrations and modernization, plus AI agents that automate business workflows. Coding agents speed up implementation and refactoring; engineers own architecture, reviews and technical decisions.

Test strategy, automation, exploratory testing, AI-system evaluation and release readiness, for software we build or software you already run. AI drafts tests and helps investigate defects; QA specialists test against requirements and make the release call.

Deployment pipelines, infrastructure, monitoring, backup and recovery, private model hosting and ongoing operations. AI assists with infrastructure code and diagnostics; DevOps engineers review configuration and approve production changes.

Discovery, research, user journeys, prototypes, interface design, design systems and usability improvement. AI speeds up synthesis of the research you permit and design exploration; designers own usability, accessibility and validation.
Every project
AI tools speed up design, engineering, QA and operations, whatever you're building. Your product doesn't need an AI feature to benefit.
Compare development packagesWhen your product needs it
AI agents, LLM features, chatbots and models inside your product, with permissions, evaluation and human oversight designed in. A separate service.
Explore AI agents & automationAlso availableSEO & Digital GrowthTechnical SEO, content, paid campaigns and analytics, for new and existing clients who need them.
Canvas Developers has delivered custom software, web and mobile applications and digital growth work for clients in industries such as fintech, healthcare, e-commerce and education.
Development packages
Both packages deliver the same expert-led, AI-assisted engineering. They differ in where AI tools process your code and project context while we build, and in what has to be set up and run.
Software delivery with suitable privately hosted models, inside a processing environment we agree with you. It's an engineering engagement, not GPU rental: we select and evaluate models, set up development agents and their permissions, and deliver with the same expert design, QA and release control.
Best fit
Policies that keep source code, prompts and research inside a boundary you control.
Expert-led delivery using Claude Code and/or OpenAI Codex with approved cloud-model configurations. You buy our engineering capability, not a resold AI subscription.
Best fit
Teams that can approve commercial AI coding tools and want an AI-first workflow without hosting models.
Both packages include
Not sure which fits? We'll recommend one during scoping.Compare the packages in detail
Our AI Engineering Workflow
AI isn't a code generator bolted onto conventional delivery. It supports design, engineering, QA and operations, and our specialists direct and validate the work.

AI speeds up synthesis of permitted research, exploration and prototyping.
Designers own usability, accessibility, consistency and validation with real users.

Coding agents implement, refactor and draft tests and documentation.
Engineers own the architecture, review changes and make the technical decisions.

AI drafts test cases, analyzes coverage and helps investigate defects.
QA specialists test against requirements and decide whether a release is ready.

AI helps write infrastructure code, read logs and diagnose issues.
DevOps engineers review configuration and approve every production change.
Ways to work with us
Every engagement has its own scope. Choose where you are, and the enquiry form opens with it selected.
Support hours, response commitments, responsibilities and exclusions are agreed for each engagement.
How We Work
QA, security and DevOps start in the first week and continue through every phase. They're not a final checkpoint.

We clarify goals, users and constraints, then map the key journeys and prototype them. AI speeds up exploration; experienced designers decide what serves your users and your business.

Engineers set the architecture, data flows and integrations, and we agree which AI tools may be used, where processing happens and what they can access. QA plans tests from the requirements.

Engineers break the work into scoped tasks and coordinate coding agents to implement, refactor and draft tests. Changes are reviewed before they're merged, and you see progress in regular demos.

QA specialists test against requirements and real user behavior, with AI helping draft tests and investigate defects, plus risk-based security and performance reviews. Issues are fixed before release, not after.

DevOps manages controlled releases with monitoring, recovery plans and documentation, using AI to help diagnose issues. After launch, we keep improving the product under an agreed support scope.
Throughout delivery
An example plan. Every project is scoped individually.
Platforms We Integrate With
From travel GDS and real estate APIs to payment gateways, trading platforms, CRM, and automation tools — we integrate with the systems that power global business.
FAQ
We're an AI-first software engineering company with four capabilities: AI engineering and automation (custom software, SaaS, integrations, modernization and AI agents), AI-assisted QA and release assurance, DevOps and AI infrastructure, and AI-assisted product design and UI/UX. SEO and digital growth remain available as a secondary service.
No. We use AI to build software, and we build AI into software only when the product needs it; those are different services. A web app, SaaS platform or internal tool without AI features still benefits from AI-assisted engineering, QA and operations.
Our team is. Engineers own the architecture and review changes before they're merged, QA specialists decide whether a release is ready, DevOps engineers approve production changes and designers own the experience. AI speeds up the work; it doesn't make those decisions.
Private / Local AI Engineering uses privately hosted models inside infrastructure you control or an agreed isolated environment. Claude Code / OpenAI Codex Engineering uses Claude Code and/or OpenAI Codex with cloud settings your organization approves, with no model infrastructure to run. Both follow the same engineering, design, QA and release standards.
Yes. Each capability can be engaged on its own: independent QA for software built by any team, DevOps and infrastructure work including ongoing operations, or UI/UX design without development. Scope and deliverables are agreed per engagement.
We can stay on under a scoped support engagement covering releases, maintenance, regression testing, infrastructure and monitoring, and AI agent or model operations where relevant. Support hours, response commitments and exclusions are agreed up front.
Yes. We start by reviewing the code, tests, infrastructure and risks, then agree a plan: stabilizing and fixing, adding QA and DevOps, modernizing or continuing development.
Our office is in Dhaka, Bangladesh, and we work with clients worldwide. Message us on WhatsApp at +8801755564028, email support@canvasdevs.com or use the contact form. Tell us what you want to build, review or operate, and we'll suggest the next step. There is no lock-in.
Get Started
Tell us what you want to build, review or operate. We'll recommend a development approach and send a proposal with scope, milestones and pricing.