Engineering Partners, at Your Side
Senior engineering teams that integrate with your culture and roadmap. We own delivery, maintain predictability, and apply AI only where it adds real value.
Dedicated teams that fit your organization
Compact, senior teams that integrate with your culture and workflows, taking ownership from first release to long term scale.
We align on scope, access, and milestones quickly, then ship in short cycles for fast feedback.
A lead or architect stays hands on from first build through scale, unblocking work and guiding decisions.
Increase or reduce capacity as needs change while preserving context, code quality, and delivery cadence.
NDAs and clear IP ownership by default. We follow Secure by Design principles so security guides how we plan, build, and deliver.
We adapt to your stack. We never impose ours.
Long-Term Partners, Trusted Results
We build dedicated teams that embed into your company, take full ownership, and deliver measurable outcomes you can count on.
SixSides have delivered their expertise for over seven years to help us build a market leading SaaS product. With exceptional work ethic and deep technical knowledge they continue to meet project goals and integrate seamlessly with our teams.
I began my career at Bell Labs working with many world-class software engineers, and at Artsy we had a great NYC-based engineering team, many of whom have now started companies themselves or work for top companies like Amazon, Meta, Microsoft, etc. I know what good engineering looks like. Martin and Daniel, the two SixSides partners who’ve led our engineering team for the last four years, are excellent, technically as well as culturally. On a practical level they speak great English, are essentially on eastern time zone, and the prices are very competitive.
More recently, the SixSides team built an entirely new author website building platform (essentially “Squarespace for authors”), from ideation to launch with paying customers in less than 6 months. Now, five months after launch, we’ve scaled to thousands of paying subscribers while simultaneously adding functionality with weekly new releases — all while maintaining and improving the performance of the platform. I don’t think any engineering team I’ve worked with in the past, including top NYC-based engineers costing much more, would have been able able to deliver at this level of speed and quality.
AI-aware across the SDLC
We test AI tools across architecture, development, testing, and deployment, and use them only where they add measurable productivity without risk. This is an ongoing R&D effort and we keep refining how AI supports delivery.
Architecture & Design
AI helps compare design options, surface trade-offs, and draft outlines. Engineers validate inputs and make final decisions to keep systems scalable and maintainable.
Build & Development
AI accelerates scaffolding and pattern implementation and assists with PR reviews by spotting inconsistencies and suggesting improvements. Developers remain accountable for correctness and long-term quality.
Testing & QA
AI proposes test cases, highlights coverage gaps, and detects flaky results. QA and engineers validate critical paths to combine automation with human judgment.
Release & Operate
AI drafts changelogs, deployment notes, and incident summaries to reduce manual work. Engineers ensure secure releases, monitor signals, and maintain predictable, audit-ready operations.