Services

The product, the intelligence around it, and the growth engine that keeps it found. Built to hold, not to demo well.

Product

  • Web development

    Marketing sites, SaaS shells, admin panels and stores on Next.js, built to stay fast as the content and the team grow. Caching, auth and CMS are part of the architecture, not a later patch.

    • SaaS platforms, dashboards, and sites that hold under load
    • Custom CMS and role-aware admin, not a generic theme
    • Performance and accessibility treated as part of the build

    Next.js · Custom CMS · Dashboards

  • App development

    Native and cross-platform apps for the jobs people actually open every day. Offline paths, push, store submission and the APIs behind the screens sit in the same plan.

    • iOS, Android, React Native, and Flutter from one delivery team
    • Offline, push, and store submission in the same roadmap
    • The API and the client designed together, not in sequence

    iOS / Android · React Native · Flutter

  • SaaS product development

    Multi-tenant products with billing, auth and permissions designed for the first hundred customers and the first ten thousand. Tenancy and data boundaries are decided before UI polish.

    • Multi-tenant architecture sized to real growth
    • Billing, auth, and RBAC as product, not plugins
    • A delivery sequence the team can actually staff

    Multi-tenant · Billing · RBAC

  • Shopify and e-commerce

    Custom themes, apps and headless storefronts that hold at peak and convert when traffic is expensive. Checkout, inventory and the ops tools around the store are treated as one system.

    • Custom themes and headless storefronts on Shopify
    • Apps and integrations that match how ops actually runs
    • Peak-traffic behaviour tested, not assumed

    Custom themes · Headless · Integrations

Intelligence

  • AI development

    Models wired into the systems that already run the business: scoring, vision, language, forecasting. We ship the pipeline, the evaluation, and the fallback when the model is wrong.

    • ML, vision, NLP, and forecasting in production systems
    • Evaluation and fallback paths, not a demo notebook
    • Data and model choice made against the real bottleneck

    ML / CV / NLP · Predictive analytics

  • AI agents and automation

    Agents that work inside the tools the team already uses, with a human still in the loop where it matters. Voice, email, WhatsApp and internal workflows, with logs you can audit.

    • Agents inside the tools the team already runs
    • Voice, email, WhatsApp, and internal workflow automations
    • Human handoff and audit logs as designed states

    Voice agents · Workflow automation

  • Chatbots and conversational AI

    Assistants trained on your documents and policies, on web, WhatsApp and voice. Handoff to a person is a designed state, not a failure.

    • Trained on your data, policies, and tone
    • Web, WhatsApp, and voice from one conversation design
    • Escalation to a person when the assistant should stop

    Web / WhatsApp · Voice

  • Growth and performance marketing

    PPC, SEO, ASO and AEO sitting next to the engineering work so launch is not a quiet deploy. We measure the funnel the product was built to serve.

    • SEO, PPC, ASO, and AEO planned with the product
    • Launch measured against the funnel, not just uptime
    • Iteration after ship, not a handoff into silence

    PPC · SEO · ASO · AEO

If it has to hold under real pressure, start here.