Start from something real. Not from scratch.
Twinit's four App Templates are open-source, production-ready starting points for building AI-native digital twin applications. Take the scaffolding, configure it for your customer, keep your IP.
Four templates. Each one the product of real deployment experience.The patterns that work, the structures that scale, the integrations that connect. Open-source on GitHub. Built to be extended.
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The templates are not demos or proof-of-concepts. They are the scaffolding that systems integrators use as the foundation for customer implementations by configuring the asset taxonomy, connecting the telemetry, tuning the AI reasoning, and building the customer-facing experience on top. The template compresses the build; the integrator's domain expertise makes it valuable.
Quick Model View
Quick Model View Template is an easy to use and easy to extend model viewing application utilizing the capabilities Twinit provides for importing and viewing models. The template can be used for building bespoke Project Intelligence and Operations Intelligence Applications.
Asset Intelligence
Turn asset and performance data into a living, explainable model. Six AI capabilities scaffolded across any sector: failure prediction, health scoring, anomaly detection, benchmarking, risk-based scheduling, and energy efficiency. For operators of instrumented assets.
Asset Twin
The scaffolding to streamline the handover from capital projects to operations. Project data transformed into a digital twin for operations and maintenance, with unified data, documents, and 2D/3D visualisation. For owner-operators onboarding newly delivered assets.
Portfolio Twin
The scaffolding to applications at portfolio or fleet scale. Solutions that drive recurring revenue through predictive insights and outcome-based service models. For OEMs and equipment manufacturers shifting to service-based models, and large operators with fleets of similar assets.
What the template gives you.
Each template provides the reasoning architecture, semantic structures, integration patterns, and user experience scaffolding that would otherwise require months to design from scratch. What the template gives is the foundation; what makes the deployed application valuable is the systems integrator's domain expertise applied on top.
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The templates are composable, not rigid frameworks you configure into shape, but building blocks designed to be assembled into arbitrary new shapes. Change the asset taxonomy, replace a connector, add a new AI agent, extend the UI. The underlying Twinit platform handles security, scaling, and infrastructure; the template and the integrator handle everything specific to the customer.
The Twinit customer journey runs:
Discover → Pilot → Scale → Evolve.
Templates compress the Pilot phase: the scaffolding is in place from day one, so the integrator focuses on the domain-specific configuration rather than building the platform. Production-ready digital twins in weeks, not quarters. With AI at its core, the twin can be adapted via re-composable scripts and agentic playbooks, unlocking new efficiencies as the deployment evolves.