SaaS and MVP development, AI-built app completion, white label development for agencies, and business integrations, guided by experienced engineers from design and testing to launch.
Design, engineering, QA and DevOps in one team, so nothing falls between vendors. AI speeds up every discipline; experienced specialists direct the work, check the results and stay accountable for them.
Software & Apps
Web apps, SaaS platforms, mobile apps, startup MVPs, business systems, APIs, e-commerce and modernization, plus AI features and agents when your product needs them. Coding agents speed up implementation; 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.
Explore our software development, QA, DevOps, UI/UX and integration services, with two AI delivery options. These figures describe the current service catalogue.
2AI Delivery Options
4Core capabilities
39Specialist services
13Platform integrations
AI delivery options
Twowaystobuild. Oneengineeringstandard.
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.
AI processing environment
Open-weight models on your infrastructure or in an agreed isolated environment.
Setup
Model evaluation, environment and agent setup before development, scoped per engagement.
Infrastructure responsibility
Model hosting is part of the engagement, run by your team or ours as agreed.
Ongoing management
Optional ongoing model and infrastructure management.
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.
AI processing environment
Claude Code and/or OpenAI Codex, processed by the provider under account settings agreed with you.
Setup
Accounts, repository access, data handling and retention settings agreed before development.
Infrastructure responsibility
No dedicated model infrastructure for this delivery approach.
Ongoing management
Tool administration and access reviews; product operations are scoped separately.
Our AI engineering harness connects leading coding agents (Claude Code, OpenAI Codex or privately hosted models) to your project's context, tools and tests. Specialists scope every task, review every change and decide what ships.
Design
How AI assists
AI speeds up synthesis of permitted research, exploration and prototyping.
What our experts own
Designers own usability, accessibility, consistency and validation with real users.
QA, security and DevOps start in the first week and continue through every phase. They're not a final checkpoint.
Illustrative delivery plan
ExampleGo-live
Weeks123456789101112
Throughout delivery
QA & security
DevOps
An example plan. Every project is scoped individually.
Phase 01Weeks 1–3
Discover & design
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.
Goals & scope
User journeys
Prototypes
Phase 02Weeks 3–4
Architect & define boundaries
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.
Architecture
AI tool boundaries
Test plan
Phase 03Weeks 4–10
AI-assisted implementation
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.
Scoped tasks
Reviewed changes
Regular demos
Phase 04Weeks 5–11
Review & validate
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.
Automated tests
Exploratory QA
Release sign-off
Phase 05Weeks 11–12, then ongoing
Release & operate
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.
Controlled releases
Monitoring
Handover & support
Connected systems
Makeyourtoolsworktogether.
Payment flows, customer data, communications and business workflows. Explore the scope and prerequisites for each integration.
We build software of every kind: startup MVPs, SaaS platforms, web and mobile apps, business and enterprise systems, e-commerce and integrations, plus AI features when a product needs them. Our engineers, designers, QA and DevOps specialists work with leading AI coding agents, so delivery moves faster while people stay in charge of every decision. SEO and digital growth remain available as a secondary service.
Can you build our startup MVP or mobile app?
Yes. We help you decide what the first version must include, then design it, build it for the web, iOS or Android, test it and launch it. AI coding agents keep the build fast; engineers make the architecture decisions so the product can grow beyond its first version, and we can keep improving it after launch.
Does my product need an AI feature to work with you?
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.
Who is responsible for work that AI helps produce?
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.
What's the difference between the two development packages?
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.
Can we hire you for QA, DevOps or UI/UX only?
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.
What happens after launch?
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.
Can you finish an app made with Lovable, Bolt, Replit or Cursor?
Yes. We start with a scoped paid assessment of the code, data, authentication, integrations and deployment. You receive findings and a completion plan before committing to the full work. A rewrite is only proposed when the evidence supports it.
Where are you based, and how do we start?
Our office is in Dhaka, Bangladesh, and we work with clients worldwide. Use the contact form, email support@canvasdevs.com or WhatsApp +8801755564028. Tell us what you want to build, improve or connect so we can discuss the next step.
Your next step
Let’stalkaboutyourproject.
Tell us what you want to build, what is already working and where you need help. We’ll clarify the next step with you.