Engineering firm for technology clients. Since 2016.
Engineering
These are the programme types where Sevendyne builds engineering pods — business platforms, AI automation, and specialist systems engineering for product and industrial companies.
We recruit and govern engineers against portfolio-proven standards — not bench availability. See tech capabilities, case studies, and 15% pricing.
Both. Most clients run multi-year pods (same team, evolving roadmap). We also ramp squads for focused initiatives. What stays constant: engineer cost at actuals + 15%, team operations handled, and expert-led delivery with senior technical leadership. Share roles and stack — we propose pod shape and pass-through bands. See How we work and pricing.
Drawn from production work and delivery archives (web platforms, partner outreach programmes, and internal tooling) — summarised for buyers, not as a vendor feature list.
Customer-facing apps, admin consoles, and progressive rollouts — discovery, milestones, QA, and release hygiene. We ship where your roadmap is clear enough to estimate.
REST and service boundaries, webhooks, retries, audit trails, and SaaS glue — including Zoho and similar operational APIs where engagements require them.
Dashboards and reporting layers on PostgreSQL and service backends — charting with libraries such as D3.js and Apache ECharts, careful treatment of aggregates and permissions.
Ruby on Rails and Spree-style commerce patterns, catalogue and checkout flows, payment handoffs, and admin tooling — where contracts call for that stack.
Native and industrial-grade interfaces for engineering-heavy environments — stack proof on portfolio — technical skills.
Structured use of OpenAI and similar APIs inside existing Spring or Python services — prompts, review steps, logging, and cost controls; not “magic autopilot” without acceptance criteria.
Sevendyne routinely works with UK, German, Gulf, and APAC clients through expert-led team building. Many agreements restrict public use of the customer name; on a short call we can usually share sector, stack, and programme shape, and put you in touch with references where contracts allow.
Concrete signals already on the site: Malaysia fintech and logistics programmes (RedDotPayment CRM, TLMS), Wise Owl property platform , and German data analytics — see the homepage and portfolio. Those sections describe what we built, not press releases for third parties.
If we reached out, it was probably through a mix of LinkedIn, GitHub or project pages, technical communities, conference or meetup lists, partner referrals, or simple company research for a stack match (for example Angular, Spring, Python, or Rails). We care about fit and geography as much as logo size — visibility in the global IT community genuinely helps: clear profiles, open-source or writing, and explicit stack keywords make responsible outreach easier.