A senior engineering team that operates as an extension of yours — reporting to your leadership, using your tools, and delivering to your roadmap.
A team that acts like yours — same tools, same rituals, same accountability — for months or years.
Every seat on the team is a senior engineer with production experience — no juniors on the invoice as seniors.
Engineers work only on your product during their contracted hours — not shared across three other clients.
Team reports into your product manager or engineering lead, not a vendor-side account manager or delivery director.
Your Slack, your Jira or Linear, your GitHub or GitLab, your Figma. No parallel tooling universe for us to sync with.
The team joins your OKR and roadmap planning cycles — the same standups, retros, and reviews as any internal squad.
Where it fits, engineers join your on-call rotation for services they own — with real runbook handoffs and pager pay.
A four-phase engagement that gets a team in place and delivering to your roadmap within weeks.
A working session on the roadmap, current gaps, and required skills — we come back with a proposed team composition.
You interview the specific engineers, veto anyone who is not a fit, and confirm the final team before it locks.
A one- or two-week onboarding — access, documentation, pairing, first low-risk PRs — with your team leading the intro.
The team joins your rituals and delivers against your roadmap. Monthly business reviews keep scope and cadence honest.
A dedicated team is the right model when the work is ongoing, the context is deep, and continuity matters as much as velocity.
Long-horizon platform work where the team accumulates context that would be expensive to lose to turnover.
Multi-quarter internal platform, infrastructure, or data-platform builds where sustained team ownership pays off.
When product is behind on the roadmap and the answer is more senior capacity plugged into the current process.
Multi-partner or multi-system integration work where switching engineers mid-flight would cost weeks of rediscovery.
Internal-facing teams that build for the rest of engineering — where consistency and trust take time to build.
AI features that need iteration on evals, prompts, and models — with the same engineers seeing the trend line over months.
Any modern stack — these are the ones we place most often, and match to whatever you already run.
The advantages of a stable, dedicated team over rotating contractors or ad-hoc staff aug.
The same engineers stay on the work for months or years — so context, relationships, and codebase memory compound.
Deep familiarity with your product, users, and history means fewer regressions and faster judgment calls.
A steady, transparent monthly rate — no surprise change orders, no billing-hour arguments.
The team learns your business as thoroughly as an in-house team — because that's effectively what they are.
An AI product delivered end-to-end by a dedicated Zikosoft engineering team.
AI • RAG
A retrieval-augmented support copilot that grounds answers in a company's own knowledge base.
Read Case Study →A senior bench, low turnover, and the discipline to work inside your existing organization.
Learn more about us →The same engineers stay on the account across quarters — not a revolving door of resources swapped without warning.
Your tools, your rituals, your standards. We adapt to how you already work rather than importing a proprietary methodology.
A clear per-engineer rate, no ambiguity on ramp-up, and honest conversations if a role isn't working out.
Code, docs, and runbooks live with you. Ending the engagement doesn't leave you stranded on a proprietary black box.
Practical answers on team composition, commercials, and how a dedicated team plugs into your organization.
Tell us about the roadmap and the gap. We'll come back with a proposed team, timeline, and monthly cost.
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