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Xano
Xano is a no-code backend platform that enables developers and technical teams to build scalable APIs, databases, and business logic without writing server-side code. It's particularly suited for building custom applications and integrations.
Usage context
This term is used across 0 Marshall Tech knowledge surfaces. Use the related resources below to move from the definition into proof, implementation detail, and commercial context.
Related resources
See this term used in guides, case studies, services, and decision support.
Insight
No-Code vs Custom Code: When to Choose Each in 2026
Choose no-code for internal tools, MVPs, and workflows where speed-to-market matters more than customisation. Choose custom code when you need complex business logic, high performance, data control, or deep integrations. Most growing businesses use both: no-code for rapid prototyping and internal tools, custom code for customer-facing products.
Updated 26 Feb 2026
Open resourceService
AI Consultant Sydney
Marshall Tech works as an AI consultant in Sydney for small and growing businesses that want practical AI tied to operations. We assess readiness, select the right use case, build the workflow, and add guardrails so AI systems are reliable, measurable, and usable in production.
Updated 9 Apr 2026
Open resourceService
Custom Software & App Development
Marshall Tech builds production-grade custom software, web applications, and API-first platforms for businesses that need more than a brochure site or template tool. We design the backend, frontend, and infrastructure around your workflow so the product can launch quickly and scale without a rewrite.
Updated 26 Feb 2026
Open resourceInsight
MCP Explained: What Model Context Protocol Means for Your Business
Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools, databases, and APIs through a universal interface. Think of it as USB for AI: one protocol, any tool, any model. MCP eliminates vendor lock-in and enables businesses to build tool integrations once and use them across any AI platform.
Updated 26 Feb 2026
Open resourceInsight
Build vs Buy: A Decision Framework for Business Technology
Build when the capability is your competitive advantage, when no off-the-shelf solution fits your workflow, or when platform lock-in is an unacceptable risk. Buy when the function is commodity (accounting, email, project management), when time-to-value matters more than customisation, or when the vendor's R&D investment exceeds what you'd spend building. Most businesses should build 10–20% of their stack and buy the rest.
Updated 26 Feb 2026
Open resourceCase study
SportsBlock: Custom Platform Build & AI Integration
SportsBlock needed a fan engagement platform that could handle real-time sports data, AI-curated content, and social features at scale. Marshall Tech delivered the MVP in 6 weeks with a custom backend and Next.js frontend, then scaled to 50k+ monthly active users, all running on under $500/month in infrastructure.
Updated 26 Feb 2026
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