Frequently Asked Questions

Every project is different. We work in both hourly and fixed-price arrangements, and we quote after a short discovery call where we scope the work with you. Smaller one-month engagements are very different from year-long platforms, we'll give you a clear estimate before any commitment.

MVPs typically take one to three months from kickoff to launch. Larger platforms and more complex systems usually run four to eight months. Actual timelines depend on scope, integrations, and team availability, we pin those down during discovery.

Both. Our project sizes range from short one-month builds to year-plus engagements. Team size scales with the work, we can add or reduce engineers as the project needs, so you're never paying for capacity you don't use.

We focus on modern, production-proven tools: TypeScript, Next.js, Node.js, Go, React, PostgreSQL, and cloud-native services on Vercel, AWS, and GCP. For AI work we integrate with OpenAI, Anthropic, and open-source models. We pick the right tool for the job, not whatever is trending.

Both. Fixed-price works well when the scope is clearly defined, we commit to a deliverable and a price upfront. For open-ended or evolving work, time-and-materials (hourly) is more efficient and keeps you in control of scope. We'll recommend whichever fits your project.

We sign NDAs upfront before discussing specifics, and we transfer all intellectual property to you on delivery. Source code, assets, and documentation are yours. This is standard across every engagement.

Yes. We regularly augment internal teams, work in parallel with other agencies, or take ownership of specific parts of a larger codebase. We follow your existing processes, code standards, and tooling when you have them.

Yes. Post-launch support is part of how we work, whether that's a retainer for ongoing development, a fixed monthly SLA, or on-call help during critical periods. We stay engaged after shipping, because most of our work comes from repeat clients.

Mainix is headquartered in Bellevue, Washington. Our engineering team is full-time and distributed across Ukraine and Poland. We work with clients worldwide across US, European, and other time zones.

Send a short description of what you want to build using our contact form. We respond within one business day and schedule a 30-minute discovery call. From signing, we typically start new engagements within two weeks.

We've shipped software across SaaS, fintech, logistics, retail, IoT, healthcare, and education. We're generalists by design, strong engineering fundamentals translate across domains. Our Industries page goes into more detail.

Yes. A large share of our work is adding AI capabilities, chat interfaces, document analysis, automated workflows, semantic search, drafting, and intelligent agents, into existing SaaS, CRM, and enterprise platforms. We integrate with OpenAI, Anthropic, and open-source models based on what the problem actually needs.

We use "AI automation" to describe the work of removing manual, repetitive tasks from a business process by combining modern AI models with workflow engineering. That includes document and email processing, support triage, summarization, drafting, classification, reconciling data between systems, and automated reporting. Each automation is scoped around a measurable outcome, hours saved, error rates reduced, response times shortened, instead of a generic "add AI" pitch.

An AI feature usually answers a single prompt or completes a single task. An AI agent plans, calls tools, and chains steps together to finish a multi-step job, drafting and sending follow-ups, reconciling records across systems, navigating internal APIs, or handling tier-one support end to end. We build agents with explicit tool permissions, evaluation suites, and observability so they can run in production safely.

Both. Custom software development, SaaS platforms, internal tools, CRMs, web applications, and cloud infrastructure are still core parts of what we ship. The difference is that we design those systems to be AI-ready from day one, with clean APIs, structured data, and well-defined permissions, so AI integrations and automations can be added cleanly later instead of bolted on.