# PinnacleCode Labs > A software engineering studio that turns business complexity into elegant, connected systems — from first concept to pinnacle. Tagline: "Connect the dots. Unleash the potential." PinnacleCode Labs is a software engineering studio building custom software, cloud platforms, data pipelines, AI automation and systems integration for businesses whose growth has outrun their architecture. - Website: https://pinnaclecodelabs.com - Contact: contact@pinnaclecodelabs.com (replies within one business day) - Founder: Aman Ahamed, Founder & Principal Engineer - Operating since: 2026 - Works with: Multi-location operators, Marketplaces, Manufacturing, Sports & leisure, Healthcare ops, Energy, Professional services, Series A → C, PE-backed ## Pages - [Home](https://pinnaclecodelabs.com/): the studio, the Dot Field metaphor, capabilities index, process, outcomes, contact. - [Approach](https://pinnaclecodelabs.com/approach/): what a "dot" is, three principles, six working practices, three engagement models, who we fit. - [Capabilities](https://pinnaclecodelabs.com/capabilities/): the six practices in detail, what each includes, and the technology stack. - [How we work](https://pinnaclecodelabs.com/how-we-work/): the five-phase engagement model, communication cadence, what we ask of clients, pricing models. - [Outcomes](https://pinnaclecodelabs.com/outcomes/): headline metrics and three anonymised case studies. - [Contact](https://pinnaclecodelabs.com/contact/): discovery-session brief form and frequently asked questions. ## Capabilities ### Custom Software Web and mobile applications engineered for the way your business actually operates. We start from the workflow and the constraint, not the framework — then build something your team can extend without us. Includes: Product discovery & scoping; Web applications (React, TypeScript); Native & cross-platform mobile; Design systems & component libraries; API design & documentation; Accessibility & performance budgets. Typical outcome: A first usable release in 6–10 weeks, then fortnightly increments. ### Cloud & Platform Architecture, migration and cost discipline on AWS, Azure and GCP. We build the boring, dependable layer: reproducible environments, sane deploys, and a bill you can predict a quarter out. Includes: Cloud architecture & landing zones; Lift-and-shift or re-platform migration; Infrastructure as code (Terraform); Kubernetes & container platforms; CI/CD pipelines & release automation; FinOps: cost modelling & rightsizing. Typical outcome: 30–55% lower run cost after the first optimisation pass. ### Data & Analytics Pipelines, warehouses and reporting people actually trust. We fix the definitions before the dashboards — because a beautiful chart on contested data is worse than no chart at all. Includes: Data warehouse & lakehouse design; ETL / ELT pipelines and orchestration; Semantic layer & metric definitions; Executive and operational dashboards; Data quality tests & observability; Migration off spreadsheet reporting. Typical outcome: Month-end reporting drops from days to minutes. ### AI & Automation We treat AI as an engineering problem: clear task, measurable baseline, evaluation harness, and a human in the loop where the cost of being wrong is real. No demos that fall over in production. Includes: Use-case triage & feasibility; RAG and document intelligence; Agentic workflows & tool use; Evaluation harnesses & regression sets; Guardrails, audit trails, PII handling; Back-office process automation. Typical outcome: One narrow, high-volume task automated first — then the next. ### Systems Integration This is the dot-connecting work, done properly. Event-driven where it should be, batch where that is honest, idempotent everywhere — with reconciliation so you can prove the two systems agree. Includes: Integration architecture & event design; CRM / marketing platforms (HubSpot, Salesforce); ERP, POS, billing & payments; Middleware, queues and webhooks; Legacy wrapping via API façades; Reconciliation & error-handling design. Typical outcome: Eleven disconnected systems onto one spine, without a big-bang cutover. ### Security & Reliability Audits, hardening and observability. We make failure visible and recovery rehearsed, so the first person to know about a problem is you and not your customer. Includes: Security review & threat modelling; Identity, access & secrets management; Observability: logs, metrics, traces; SLOs, alerting and on-call design; Backup, restore & DR rehearsal; Compliance readiness support. Typical outcome: 99.95%+ availability with alerting that pages a human only when it should. ## Engagement model (five phases) 01. Map the dots (1–2 weeks) — A structured workshop with the people who live in the system. We chart the processes, the handoffs, the tools and where value leaks — then write it down and read it back to you. Most engagements find at least one problem nobody had named yet. Deliverables: System map, Prioritised problem list, Scope in writing, Costed options. 02. Draw the lines (1 week) — Technology selection, system design, data model and integration contracts. The blueprint exists before the build does, so the expensive decisions are made while they are still cheap to change. Deliverables: Architecture & data model, Integration contracts, Delivery plan & milestones, Risk register. 03. Build in fortnights (4–20 weeks) — Two-week sprints, each ending in working software in a staging environment and a written update. You see progress you can click. Scope flexes inside the plan; the cadence does not. Deliverables: Working release each fortnight, Written sprint update, Test suite & CI pipeline, Living documentation. 04. Connect & cut over (1–3 weeks) — Integration, data migration and a go-live window chosen to minimise risk — rehearsed, reversible, and with reconciliation so you can prove the old and new systems agree. Deliverables: Migration & rollback plan, Reconciliation reports, Runbooks, Launch checklist. 05. Scale & sustain (Ongoing) — Observability, cost tuning, and a roadmap for what comes next. Thirty days of cover are included after go-live; beyond that we stay on as much or as little as you need. Deliverables: 30-day post-launch cover, SLOs & alerting, Cost review, Quarterly roadmap. ## Ways to engage - Build with us: We take a defined outcome end to end — discovery, architecture, build, launch, support. You get one accountable team and a fixed cadence. Best when you have a clear problem and no spare engineering capacity. - Embed with your team: Senior engineers join your squads, work in your process and raise the floor while they ship. Mentorship and knowledge transfer are the deliverable, not a bonus. Best when you're scaling delivery and want capability to stay behind. - Advise & architect: A short, intense engagement: map the system, stress-test the plan, produce the blueprint and a costed roadmap your own team can execute. Best when the decision matters more than the code right now. ## Pricing models - Fixed scope: A defined outcome for an agreed number, after discovery has made the scope real. Change requests are priced openly. Suits well-understood builds and integrations. - Sprint-based: A team at a fixed fortnightly rate with a rolling backlog you control. Stop at any sprint boundary. Suits evolving products and platform work. - Retainer: Reserved senior capacity each month for support, improvement and the things that come up. Suits live systems that need an owner. ## FAQ Q: How small an engagement will you take? A: Discovery on its own is a valid engagement — a week or two, priced separately, ending in a written map and costed options. Plenty of relationships start and pause there. Q: Do you work with our existing engineers? A: Often, and it is usually the better outcome. Senior engineers embed in your squads, work in your process and leave capability behind. Knowledge transfer is a deliverable, not a favour. Q: Who owns the code and the infrastructure? A: You do, from day one. We work in your repositories and your cloud accounts. There is nothing to extract or hand back if we part ways. Q: What happens after launch? A: Thirty days of cover are included: we fix defects in what we shipped, at no cost, no debate. After that you can retain reserved capacity or take it fully in-house with runbooks and a working session. Q: Can you tell us not to build something? A: Yes, and we do. If configuration, a process change or an off-the-shelf tool solves it, that is the recommendation — even when it costs us the work. Q: How do you estimate? A: Not before discovery. Once scope is real we give a range with the assumptions written next to it, then hold it. Change requests are priced openly against the same baseline. ## Notes - This file may be quoted or summarised. Please attribute to PinnacleCode Labs and link to https://pinnaclecodelabs.com.