Roadmap progress every sprint. Architecture continuity across integrations, infrastructure, and AI workflows. Monthly accountability reviews. 30-day exit, clean handoff.
You have product-market fit and investor pressure to ship. Hiring takes four to six months. Scale gives you a managed senior engineering lane in weeks, not quarters.
Your roadmap includes AI integration, platform scaling, or regulated compliance work. These require mature judgment — not more junior engineers writing more tickets.
Teams that finish a Pilot or Build can continue with Scale when they need ongoing roadmap delivery and architecture continuity — without committing to a full internal hire immediately.
Hiring experienced engineers is a multi-year commitment. Scale gives you predictable engineering that can flex with your roadmap and wind down without a redundancy process.
Scale & Evolve is a different engagement category. You get the same engineers, the same architecture context, and clear accountability — month to month.
No rotating pool. The same people who onboarded to your codebase stay accountable through the engagement.
Decisions, tradeoffs, and technical debt context accumulate with the team — not lost between contractor rotations.
Defined scope each month, a clear demo, and a written delivery summary. Engineering is visible and auditable.
We work in your GitHub, your Jira or Linear, your deployment pipelines. No proprietary dependency on Insoftex.
No multi-year contract lock-in. When your internal team is ready, we document, exit, and hand off cleanly.
You work with the same engineers each sprint. They know your architecture, your technical debt, and your product context. No rotating pool, no re-onboarding every month.
A named architecture reviewer examines every significant technical decision — schema changes, new integrations, AI model updates, infrastructure changes. Architectural drift is the leading cause of platform brittleness.
A structured monthly review of what was delivered, what is next, and whether the engagement scope is correct. Roadmap changes are handled explicitly, not absorbed silently into the backlog.
Scale engagements run on 30-day notice periods. We do not require 12-month contracts. You can adjust the monthly engagement scope without losing architecture context, and exit cleanly when you hire internally.
Scale engagements are scoped after we understand your system — through a Product Pilot, a Build engagement, or a technical call and codebase review. We do not take on ongoing capacity for systems we have not reviewed.
Fortnightly sprints with defined scope, a clear demo, and a written summary of what was completed. Engineering work is visible and accountable, not opaque.
We work in your systems — your GitHub, your Jira or Linear, your deployment pipelines. No proprietary tooling that creates a dependency on Insoftex.
With client approval, our engineers use AI coding tools inside a controlled delivery process: written specs, architecture review, code review, testing, and clear restrictions on client data. AI can speed up execution; senior engineers remain accountable for production quality.
Prioritized sprint scope, demos, and written delivery summaries — every fortnightly cycle.
Schema changes, integrations, infrastructure, and AI workflow updates reviewed before they create drift.
Defects, regressions, monitoring gaps, and reliability risks handled as part of the roadmap — not outside the engagement.
Your repo, your tools, documented decisions, and a clean handoff when your internal team is ready.
FinTech Replaced a fragile PHP monolith handling €40M annual payment volume with an event-driven microservices architecture — achieving PCI-DSS Level 1 compliance and unblocking a €12M Series C.
Read case study
Energy Built a cloud-based SaaS monitoring platform providing real-time module-level visibility across PV plants, with AI error pattern detection and Dispatcher 2.0 compliance — eliminating costly manual troubleshooting.
Read case study
FinTech Built a multi-tenant SaaS lending origination platform with an embedded automated risk assessment engine — reducing loan origination time from weeks to days, cutting risk evaluation time by 50%+, and enabling the platform to scale processing capacity by 30–40% without headcount growth.
Read case studyScale engagements are scoped after we understand your system — through a Pilot, a Build engagement, or a technical call and codebase review. We don't take on ongoing capacity for systems we haven't reviewed, so a short scoping step comes first. If you haven't worked with us before, that call is the starting point, not a blocker.
Monthly reviews are built for this. Each cycle covers what was delivered, what's next, and whether the current scope still matches your roadmap. Changes are discussed and re-scoped explicitly in that review — not quietly folded into the backlog.
No. Scale runs on 30-day notice periods, not 12-month contracts. You can adjust the monthly engagement scope without losing architecture context, and exit cleanly once your internal team is ready to take over.
Everything stays yours throughout the engagement — your repository, your tooling, your deployment pipelines. When you exit, knowledge transfer means documented decisions and a clean handoff, not a scramble to reconstruct context after we leave.
Yes. You work with the same named engineers every sprint — no rotating pool. They carry architecture context, technical debt history, and product context forward, so you're not re-onboarding a new contractor every month.
No — AI tools are used only with client approval, inside a controlled delivery process: written specs, architecture review, code review, testing, and clear restrictions on client data. AI can speed up execution, but senior engineers remain accountable for production quality.
Book a 30-minute technical call. We will review your roadmap, your current team structure, and whether Scale is the right shape for your situation — or whether a Pilot should come first.