Outsourced AI team · development, marketing & digital operations · Toronto
Taking on new clients
We.Develop.Perfection.
One AI team does what you now pay several vendors for: software, website, servers, Google and Meta ads, social, newsletters and SEO. A report every morning, and one dashboard to manage it all.
A family-driven team led by founders Noam and Maya Lee Penn. You work directly with the people who design, build and run your product: precise communication, realistic plans and delivery you can rely on, from Toronto.
Our AI specialists run AI agents and do your business's digital work: software, website, servers, campaigns, social, newsletters and SEO. One senior lead on our side is accountable for the result and answers to you directly.
01
Software, website & servers
Your digital products are maintained and improved all the time, not only when something breaks.
No waiting for a monthly summary and no chasing vendors. Every morning you know what was done, and in your dashboard you watch your website, app and channels get better day by day, until they're perfect. We. Develop. Perfection.
A report every morning
What shipped, what changed in the campaigns, what was published and what happened to the numbers, in a few lines.
One dashboard
What was done, what is in progress and what is waiting for your decision. Approve, request changes and message us from there.
One lead
One person on our side who knows your business, is responsible for every area and answers to you directly.
What was done yesterdayExample morning report
WebsiteA new product page went live, and a contact-form bug was fixed.
GoogleNegative keywords added; budget moved to the campaign that brings enquiries.
SocialA new post was published, and comments and messages were answered.
SEOA new article was published, and broken links were fixed.
TodayCustomer newsletter, and a speed check of the home page.
Web platforms, mobile apps, SaaS products and the systems businesses run on. AI agents speed up the building, and one senior team plans, designs, tests and runs what they build.
Assistants, smart search and automated workflows inside your product, added where they solve a real problem.
Recommended only where it earns its place
Already have software? We take over, assess and modernize codebases built by other teams or with AI tools.Request an assessment
Expert capabilities behind every build
AI speeds up each of them, and experts lead each one. Use one on its own or bring them together; designers, QA and DevOps work alongside the engineers on every project.
The best AI tools speed up how we build; experienced people design, review, test and release everything. AI features in your product are a separate decision, added only where they earn their place.
Every project gets a senior engineer who acts as HR for AI. Like HR for people, they hire the right AI agents for each job, onboard them to your project, decide what they may touch, review their work and answer to you for it.
You
Your goals, priorities and final say
HR for AI
Senior engineer · your main point of contact
AI agents
Map the code
Build features
Refactor
Draft tests
Write docs
Human experts
Product designer
QA specialist
DevOps engineer
How every NPCoding project team is organized.
What your HR for AI does
01
Hires
Picks the right AI agent and model for each job: Claude Code, OpenAI Codex or privately hosted models.
02
Onboards
Gives the agents what any new team member needs: your codebase, standards, data rules and acceptance criteria.
03
Assigns
Breaks the work into small, scoped tasks and decides what each agent may read, change or run.
04
Reviews
Checks every change before it merges, while QA tests the result independently of the code.
05
Answers for it
One accountable person who reports to you in plain language: progress, decisions and what comes next.
Where your AI runs
CloudAIorprivateAI.Thesameteameitherway.
Your HR for AI can run the agents on leading cloud tools or on privately hosted models. The reviews, the testing and the standards don't change.
AI makes delivery fast. Fast only matters if what ships is right and stays up, so QA and DevOps carry equal weight in every project, from the first sprint to long after launch.
Quality before release
QA & release assurance
Validation is kept separate from implementation. Tests are designed from your requirements rather than worked backwards from the code they check.
Acceptance criteria grounded in your business requirements
AI-assisted test automation plus expert exploratory testing
Critical workflows, integrations, permissions and edge cases
Browser, device, accessibility and performance checks, as scoped
Documented findings and a clear view of release readiness
When your product includes AI
We also evaluate output quality, tool permissions, unsafe actions and failure handling, and re-run the evaluation suite after every model, prompt or tool change.
Production changes are controlled, not autonomous. Every release passes automated checks and risk-based approvals, and has a rollback path.
Repeatable build and deployment pipelines
Separate environments and controlled production changes
Monitoring, alerting and AI-assisted diagnostics
Backup restoration and recovery planning
Access, secrets and dependency maintenance
Performance and infrastructure-cost reviews
When you run AI in production
We also monitor agent quality, inference latency and cost, release model and prompt updates under change control and keep a clear route to escalate to a person.
Need just one? Each is also available on its own for software built by another team: an independent QA assessment, or operations for an application you already run. Both are built into every NPCoding project.
(07)How we work
AIaccelerateseverystep.Peopleowneverydecision.
Realistic plans, working software every sprint and no surprises — it's why clients like Yifat and Ambin come back for their next project.
Testing, security and operations work runs through every stage, not just the end.
Workshops, user journeys and prototypes. AI helps us synthesize research and explore options quickly; designers and your team decide what to build, and QA turns it into acceptance criteria.
User journeys
Prototypes
Assurance:Acceptance criteria
02
Architect & plan
Engineers define the architecture and the data and security boundaries, then break the work into tasks small enough to delegate and review. AI helps map existing code and the impact of changes.
Architecture
Assurance:Threat model
Assurance:Release & recovery plan
03
Build with AI agents
AI agents (Claude Code and Codex, or privately hosted models, depending on your package) implement scoped tasks, refactor, and draft tests and documentation. Your HR for AI, a senior engineer, assigns their work and reviews every change before it merges.
Scoped agent tasks
Human code review
Assurance:Automated tests
04
Review & validate
QA validates against the acceptance criteria with automated suites and exploratory testing, independently of the code that implemented them. Sensitive changes get a security review.
Assurance:Exploratory QA
Assurance:Security review
Assurance:Release readiness
05
Release, operate & improve
DevOps releases through a controlled pipeline with approvals and a rollback path, then monitors production. What we learn from real use shapes the next iteration.
Assurance:Controlled release
Assurance:Monitoring
Roadmap
(08)New to building software?
Justanidea?That'sagreatplacetostart.
You don't need a specification, a technical background or a final budget to talk to us. Tell us what you have in mind, and we'll help you shape it, show you what AI makes possible today and find a sensible first step.
A few sentences in plain words is enough. No specification, no technical language, no finished budget.
2
Talk it through
An intro call about your goals, users and budget. We suggest the simplest first version worth building, and where AI can make it faster.
3
Get a clear plan
Scope, timeline and an honest estimate, before any commitment. Then you decide, with no pressure.
(09)Ways to work with us
Threewaysin.Oneteamthatstays.
Use one capability on its own, such as QA, DevOps or UI/UX, or an integrated team. Start where you are: the team that builds or assesses your software can stay responsible for it.
01
Build
A new product or a substantial development initiative, taken from discovery to a controlled first release.
Discovery, user journeys and prototypes
Architecture, delivery plan and acceptance criteria
AI-accelerated development with senior code review
Each engagement covers what we agree together: scope, support hours and response commitments are set per engagement, and nothing is assumed beyond it. What you get is continuity, visibility, and a team that remains responsible after launch.
(10) Global reach
Toronto-based.Builtfortheworld.
A Toronto office for local partnership and Canadian compliance know-how — PIPEDA, AODA, SR&ED — and clients in 20+ countries, from early-stage startups to international brands.
Toronto, CanadaHeadquarters · Client partnership
Countries
20+
Projects
500+
Clients
300+
Toronto· Canada · HQ
Drag to explore
(11)Industries
Domaindepthacrosseightindustries.
Patterns and hard-won lessons from every sector we've built for, applied to your product with AI-powered engineering, UX, testing and operations.
Catalogs, dealer ordering, inventory apps and ERP integration for manufacturers.
(12)Client voices
Wordsfromthepeoplewebuildfor.
Real feedback from founders and managers we've worked with — quoted as they wrote it.
“
We began the process of building a new website. The firm's team, especially Maya, helped us, prepared us, and provided a very quick response to every question. Highly recommended.
Roni SinaiSleep Solutions
“
I have been working with Maya and Noam for over a year in a difficult field.
Yaakov GaetanoFashion Company
“
Highly recommended! Professional and committed with close and caring service.
Maayan BarBusiness Consulting
“
NPCoding has established the new YouCC Technologies website.
Shmuel MashaliComputing & Cloud Services
“
Thank you Maya and Noam for your professional work and excellent service. You are always there for me.
Ronit PerkalskyPilates Studio
“
We contacted Maya from NPCoding to build a new website, after reviewing several companies.
Liat Hai BaltmanPlacement Company
“
Dear Maya and Noam, thank you very much for the unforgettable experience of working together.
A good-looking website does not always bring in leads. Six simple numbers from your analytics and forms that show whether it works, and what to do when one drops.
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4 min read
(14)FAQ
Questions,answered.
Straight answers to the questions we hear most, including how we use AI and who manages it. Can't find yours? Ask us when you get in touch.
An NPCoding team that does what you now pay several vendors for: software development, website and server management, Google and Meta campaigns, social media, newsletters and SEO. Our people run AI agents that do the heavy lifting, and one lead on our side is accountable for the result and answers to you directly.
What is in the daily report?
A short report every morning: what was done yesterday on your website, app, campaigns and social channels, what changed in the numbers and what is planned for today. You know what is happening every day, without waiting for a monthly summary.
What do I see in the dashboard?
Your whole digital operation in one place: what was done, what is in progress, the key numbers and the decisions waiting for you. You can approve, request a change and message the team from there.
How is this different from a marketing agency or a software house?
Development, hosting, advertising and social usually sit with different suppliers, and someone on your side has to coordinate them. Here the same team builds, maintains, promotes and measures, so you deal with one point of contact and pay one vendor.
Do we have to move everything at once?
No. You can start with one area, such as development and website maintenance, or marketing, and add more once you see it working.
What does NPCoding do?
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.
I only have an idea. Is that enough to start?
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.
What does "HR for AI" mean?
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.
Can you build our startup's MVP or mobile app?
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.
How do you use AI, and who is accountable?
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.
What's the difference between the two development packages?
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.
Can we use just one capability, such as QA or design?
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.
Will our product include AI features?
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.
Can you work on software another team built, including AI-generated code?
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.
What happens after launch?
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.
How does a project start?
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.
Where is NPCoding located?
Our office is in Toronto, Ontario. We work with clients across Canada and internationally.
