Software consultancy. Based in Toronto.
We build web applications, cloud infrastructure, backend systems, and help teams set up AI development tools. We work hourly, scope honestly, and don't oversell.
What we can help with
AI Development Tooling
We help engineering teams adopt AI coding tools. This includes setting up AI coding agents, MCP server integrations, automated code review pipelines, and AI-assisted testing workflows. We configure these for your specific codebase and train your team to use them.
- AI agent configuration & custom tooling
- MCP server setup for your codebase
- Automated code review pipelines
- Team training & documentation
Cloud Architecture & Infrastructure
Infrastructure design and implementation on AWS or Azure. Terraform/IaC, containerization, CI/CD pipelines, monitoring, and cost optimization for existing setups.
Full-Stack Application Development
End-to-end product development — SaaS applications, web apps, API design, database architecture, and third-party integrations. We deliver working software with documentation.
Backend Engineering
Backend systems, microservices, real-time features, event-driven architecture, and data pipelines. Node.js, Python.
Frontend Engineering
Web interfaces built with React, Next.js, or Vue. Component libraries, design system implementation, performance optimization, and accessibility.
Technical Consulting
Architecture reviews, technology stack evaluation, code audits, and technical due diligence. Useful before starting a new project or when evaluating an existing system.
Hourly rates. No hidden fees.
All work is billed hourly. We provide time estimates upfront and track hours transparently. No retainers or minimum commitments required.
Principal Engineer
Architecture, technical leadership, AI tooling
- System architecture & design
- Technical decision-making
- AI development tooling setup
- Code review & mentoring
- Client-facing communication
Senior Engineer
Implementation, development, testing
- Feature development
- Backend & frontend implementation
- Infrastructure & DevOps work
- Testing & documentation
- Bug fixes & maintenance
How it works: We scope the project together, provide a time estimate with a range, and bill for actual hours worked. You get a weekly timesheet with descriptions of work completed. No surprises.
Typical project sizes: Small projects (2–4 weeks, ~$10K–$25K), medium projects (1–3 months, ~$25K–$80K), large projects (3–6 months, ~$80K–$200K). These are rough ranges — actual cost depends on scope.
Technologies we work with
AI & Automation
Cloud & Infrastructure
Backend & Server
Frontend & UI
DevOps & Tooling
Engineers, not middlemen.
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Direct communication
You talk directly to the engineers doing the work. No project managers, no account executives, no handoffs.
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Full-stack coverage
We cover cloud, backend, frontend, and AI tooling. We scale the team to match the project scope.
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Hourly billing, transparent tracking
We bill for actual hours worked and send weekly timesheets. If a project is going over estimate, we tell you early and discuss options — not after the invoice.
Yaroslav Zhbankov, PhD
Founder & Principal Engineer
Full-stack engineer with experience across cloud, backend, frontend, and AI tooling. Based in Toronto. I lead projects technically and write code on every engagement.
How we typically work
Initial Conversation
We discuss what you need, look at the current state of things, and figure out if we're a good fit. No commitment, no cost.
Scope & Estimate
We define the scope together and provide an hourly estimate with a range. You know the expected cost before any work starts.
Build
We work in short iterations with regular check-ins. You see working software along the way, not just at the end.
Deliver & Document
We hand off working code with documentation. Your team should be able to maintain and extend everything independently.
Have a project in mind?
Send us an email describing what you need. We'll get back to you within a business day to set up a call if it's something we can help with.