An AI feature needs a product around it: data model, APIs, permissions, interface, tests. We build that product with senior teams, show working software in 2 weeks and keep it running after launch.
Product engineering is our end-to-end service for building platforms, web applications and mobile apps, from discovery and MVP to launch and post-launch support. It is for companies that need a production-grade product built by a senior team, including startups and scale-ups, and for operators who want AI features inside a product that will hold up.
A model is a small part of an AI feature. The rest is product: a data model the feature can trust, APIs it can call, permissions that decide what it may do, an interface that shows its confidence and lets a person overrule it, and tests that catch regressions when the model changes. Without that, a working demo turns into an integration project nobody budgeted for.
The numbers bear this out. 88% of organizations use AI in at least one function and fewer than 10% have scaled it in any of them. MIT found that external partnerships reach deployment twice as often as internal builds, 67% against 33%, largely because the partner brings the product engineering the internal team was never staffed for.
Speed still matters. Startups and product teams cannot wait a quarter to see something work. The answer is not a smaller team. It is a senior one that ships a usable increment every two weeks and includes QA, business analysis and project management instead of billing them as extras.
From an idea or a backlog to a scoped, validated first version.
Multi-tenant SaaS and internal platforms designed for the load, the team and the AI you will add.
Enterprise web apps, portals and single-page applications that run hundreds of business processes.
Native when platform features matter, cross-platform when time-to-market matters.
Testing is a role on the team from the first sprint, not a phase before launch.
Products rarely work alone. We have connected 4,000+ systems since 2012.
The same team stays on, so context is not lost at handover.
The three things clients have chosen us for since 2012: speed, flexibility, and a full delivery team. Plus support after launch.
We engage senior-level engineers, 200 of them across San Francisco, Kraków and Dnipro, with 100+ certifications including AWS, Kubernetes, Terraform, ISTQB and Oracle Java. Teams are assembled for your product, not pulled from a bench.
Two-week Scrum sprints, each ending in a demo of running software. Give us an assignment today and you see something working in as little as 2 weeks. Progress is visible, not reported.
Every team ships with project management, quality assurance and business analysis. We study the commercial side, keep the workflow steady and hold delivery quality, so you are not staffing those roles yourself.
Changing requirements are welcome, even late in development. Engagement models let you scale the team up or down as the product moves. After launch we stay on for maintenance and the next roadmap; 89% of clients work with us longer than 12 months.
40+US carriers aggregated in the platform
A San Francisco logistics SaaS re-architected to microservices on AWS in two years, with carrier rate comparison and portals used by Fortune 500 shippers.
Thousandsof construction tenders processed through the platform
From a business idea to one of Denmark's most popular construction platforms: document versioning, rights and tender management, print-vendor integration.
Under a yearfrom concept to iOS and Android release
An iOS and Android app for Dutch homeowners' associations: invoices, in-app chat, notifications and multi-association profiles, built on Java and Ionic.
Under a yearfrom Salesforce no-code to a full property-management SaaS
Hoste's short-term rental management product rewritten from Salesforce no-code into a Node.js, React and Google Cloud SaaS with a self-service portal.
Goals, users, market and constraints. Business analysis produces requirements and a roadmap; architecture produces the technical plan and stack. You get a proposal with scope, team and cost within days.
Wireframes, UI kit and a clickable prototype that mimics the user journey. Usability issues are fixed here, where they cost hours instead of sprints.
Two-week sprints, each ending in a demo of working software. Automated tests run in CI and QA signs off every increment. First deliverables within 2 weeks of signing.
Release to production or the app stores, monitoring, training and documentation. Then continuous improvement based on usage data, with the same team.
The full cycle of turning a product idea or an existing product into working software: discovery and business analysis, architecture, UX/UI design, development, testing, launch and post-launch support. At Erbis this covers platforms and SaaS, web applications and mobile apps, with a team that includes project management, QA and business analysis. We have built products this way since 2012 for startups, scale-ups and enterprises.
Fixed Scope: a defined scope, timeline and price, best when requirements are stable and the product is small. Time & Material: you pay for the hours worked, with scope adjusted sprint by sprint, best when requirements will evolve. Dedicated Team or staff augmentation: a full-time team or individual engineers at a monthly rate, integrated into your process, best for long-running products. Most clients start with Time & Material and move to a dedicated team.
An MVP that validates one hypothesis typically takes two to four months. A full product with integrations, multiple user roles and both web and mobile clients runs six to twelve months to first release, then continues in increments. You see the first working demo within 2 weeks and a new increment every sprint after that, so the timeline is visible from the start rather than a promise at the end.
Native (Swift, Kotlin) when the app depends on platform features, performance or offline hardware access. Cross-platform (React Native, Flutter) when you need both platforms quickly from one codebase and the UI is mostly forms, lists and dashboards. Hybrid (Ionic with Capacitor) when you already have a web application and want it on devices with minimal rework. We recommend based on your users and roadmap, not on what we prefer to build.
QA is a role on the team from sprint one. A test strategy defines functional, integration, performance and security tests per release. Automated regression suites run in the CI pipeline on every change, and ISTQB-certified engineers sign off each increment before the demo. Load tests run before launch, and usability tests run with real users. Defects found in production are traced back to the gap in the tests that let them through.
Three layers of legal protection. A work-made-for-hire contract through our US company, backed by professional liability insurance, so the code and design are yours from day one. Every Erbis employee signs an NDA and an IP assignment agreement under local law. And you can have direct NDAs and rights-assignment agreements between our engineers and your organization. Operationally, we are ISO 27001 certified and work inside your repositories and cloud accounts when you prefer.
A 45-minute discovery call. We will give you an honest read on scope, team and timeline, and whether the AI you have in mind belongs in version one.
AWS partner · Databricks partner · ISO 27001 · You own the code from day one
