Outsourced AI team · engineering, product & marketing · Toronto

Instead of employing developers, marketers and separate vendors, you work with one NPCoding team. Our people run AI agents and take care of your software, product and marketing, and one senior lead on our side is accountable for the result and answers to you directly.

Three areas, depending on what the business needs: engineering and product (apps, platforms, sites, design, QA and infrastructure), marketing and growth (SEO, content, paid campaigns, email and measurement) and automation and operations (AI agents for business processes and integrations between systems). You can start with one area and expand.

Development and marketing usually sit with different suppliers, and someone on your side has to coordinate them. Here the same team builds the product, promotes it and measures the results, so the site, the campaigns and the data work together, and you deal with one point of contact.

We design, build, test and run custom software of every kind with AI: startup MVPs, SaaS platforms, web and mobile apps, eCommerce, business systems, integrations and AI features. AI agents speed up the building, a senior engineer manages them as your HR for AI, and designers, QA and DevOps specialists stay responsible for what reaches your users.

Yes. A few sentences in plain words is enough; you don't need a specification or a technical background. On the intro call we ask about your goals, users and budget, suggest the simplest first version worth building and show where AI can make it faster. You get a clear proposal before any commitment.

It's the role a senior NPCoding engineer plays on your project. AI agents take on routine building work, and like any team they need managing: someone has to choose the right agent for each job, give it the context of your project, limit what it can touch, review its work and take responsibility for it. That person is your HR for AI, and your main technical point of contact.

Yes. We take founders from idea to a specification, a clickable prototype and a first release on the web, iOS or Android, from a team that has founded startups itself. AI speeds up the build; the scope, architecture and quality decisions stay with experienced people, so the MVP becomes a foundation rather than a throwaway.

AI agents help us understand codebases, implement and refactor scoped changes, draft tests and keep documentation current. Engineers define the work, review every change and own the technical decisions. Designers and QA specialists assess the product, and DevOps controls what reaches production.

Claude Code & Codex Engineering uses those tools under the account and settings approved for your project. Private / Local AI Engineering runs AI-assisted development on privately hosted models in a controlled environment, with optional ongoing management. Both carry the same engineering, design, QA and release standards.

Yes. QA, DevOps and UI/UX are each available on their own, without a development package, or you can work with an integrated team that covers all four capabilities.

Only if it should. AI-assisted delivery is how we build; AI features for your users are a separate capability, and we recommend them only where they solve a real problem.

Yes. An assessment covers the architecture, security, tests and release risk, and ends with a prioritized plan for remediation, modernization or release. We arrange code access securely once we've spoken, so please don't send source code through the website.

If you choose, we stay responsible for the product: releases, monitoring, maintenance, QA coverage, infrastructure and continued development. Support hours, response commitments and responsibilities are agreed per engagement.

With an intro call to understand your goals, followed by a discovery and specification phase that defines scope, timeline and budget. You'll know what you're getting before development begins.

Our office is in Toronto, Ontario. We work with clients across Canada and internationally.