Lovable can move a product idea into a working prototype quickly, but teams often need additional engineering before the app handles production data, payments, security requirements, integrations, and sustained traffic. Lovable supports GitHub handoff, which means an existing prototype can move into a conventional engineering workflow rather than remaining tied to the initial build process.
The companies below include both Lovable-focused production specialists and broader product engineering teams capable of handling prototype assessment, architecture, development, testing, deployment, and ongoing support. Each entry separates practical fit, core capabilities, and verified contact details for easier comparison.
Gilzor directly addresses the gap between AI-built prototypes and production software. Its engineering service covers products created with Lovable, Bolt, Replit, v0, Cursor, Claude Code, and Supabase, with work spanning architecture, security, scalability, reliability, testing, deployment, and ongoing development.
The company's portfolio includes an ecommerce content platform that began as a functional MVP. Gilzor audited the implementation, completed missing functionality, reorganized disconnected workflows, and strengthened the platform for real catalogue operations and continued development.
LOW/CODE Agency has a dedicated service for businesses that started products in Lovable or Bolt.new and now need a more reliable production foundation. Rather than treating the prototype as a finished application, the team reviews what can remain and rebuilds areas where architecture, performance, or scalability have become limiting.
Its broader offering includes MVPs, SaaS platforms, mobile apps, marketplaces, business applications, and AI implementation. This makes the agency relevant when a Lovable project has moved beyond simple launch preparation and needs continued product development after the initial hardening work.
OSKI Solutions supports concept development, UI and UX work, application engineering, cloud infrastructure, QA, security, production deployment, maintenance, and later product improvements.
Its MVP service also emphasizes production-grade foundations rather than disposable prototypes, including real backends, data models, authentication, and deployable cloud environments. This can suit teams that want to transfer an exported Lovable project into a broader full-stack development process.
Clover Labs explicitly offers a Lovable-to-production service. The team takes existing Lovable applications and works on the engineering areas that become important as usage grows, including authentication, data architecture, security, testing, maintainability, and scalability.
Its broader AI Studio works with products built in Lovable, v0, Bolt, Base44, and Claude Code. Clover Labs emphasizes keeping useful parts of the existing application rather than automatically replacing everything, which can reduce unnecessary rebuilding when the prototype already contains validated flows and product decisions.
A-listware provides broader full-cycle software development. Its MVP capabilities cover work from proof of concept through deployment, while its software offering also includes custom development, cloud applications, modernization, support, and dedicated engineering teams.
For a Lovable project, this type of service is more relevant after the prototype has been exported and is being managed as a conventional software product. A-listware can therefore fit projects that need sustained engineering capacity in addition to the initial transition from prototype to production.
DreamLabs has a service specifically built around moving applications from AI prototyping tools into maintainable production systems. Lovable, Bolt, v0, Replit, and Base44 are named directly among the platforms it handles.
The process begins with code and security assessment, followed by work on data protection, server-side authorization, database structure, testing, CI/CD, environments, monitoring, and production infrastructure. DreamLabs also emphasizes retaining useful interface, data, user, and integration work instead of treating every AI-generated prototype as a mandatory full rewrite.
21century.tech is an AI-native software studio. Its offering is relevant when a generated prototype needs to enter a standard engineering workflow with senior architecture oversight, testing, documentation, CI/CD, deployment, and human-reviewed code.
The company works with AI-assisted development throughout its delivery process but keeps architecture, business logic, security decisions, and code review under engineer control. Its services include MVP development, full-stack features, refactoring, and third-party integrations, all of which can apply when an early Lovable application needs substantial engineering beyond its initial generated state.
VeryCreatives directly markets a Lovable-to-production service for founders whose working app needs more engineering before launch. Its scope includes Supabase security, performance, application structure, SEO considerations, testing, and decisions about whether the existing code should be hardened or partially rebuilt.
The company also offers a wider vibe-code-to-production service for products created with tools such as Lovable, Replit, and Cursor. Beyond these migrations, VeryCreatives operates as a product studio covering prototype work, production delivery, modernization, and long-term software development.
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net-devs uses a senior-led development process that moves from requirements and prototyping through engineering, QA, production deployment, and ongoing iteration. AI is used to accelerate delivery, while human engineers retain responsibility for review and production decisions.
Its cloud and platform capabilities also cover architecture and infrastructure on Azure, AWS, and GCP.
DoodleWeb offers a dedicated Lovable service covering design, development, hardening, and scaling of applications built on the platform. Its production work addresses areas such as database structure, row-level security, server logic, authentication, and payments.
The company is a Lovable Solution Partner and focuses on taking Lovable applications beyond the initial generated build so they can support real users and business processes. Lovable's partner program itself is designed around agencies and experts delivering production applications and larger transformation projects on the platform.
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Web Apps Agents has a dedicated Lovable takeover path for projects requiring code review, security work, architecture repair, integrations, deployment, or broader product completion. The company explicitly supports apps started with Lovable and other AI coding tools.
Its wider service can also turn AI-built web projects into production-ready mobile applications, with work covering databases, APIs, cloud infrastructure, performance, scalability, testing, and app store preparation. This makes it relevant when the initial Lovable prototype is only one part of a larger product roadmap.
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SoftPro provides custom web, cloud, and AI development with technologies including .NET, React, Azure, and modern AI tooling. Its MVP solutions include work covering prototyping, iterative releases, cloud delivery, long-term maintenance, and the transition from early-stage product work toward production systems.
SoftPro is more applicable once the prototype becomes an exported development project requiring custom engineering, integrations, cloud infrastructure, or continued support.
Moving a Lovable prototype into production often requires more than simply deploying the existing app. The companies in this list offer different levels of support, from Lovable-specific code reviews and security hardening to architecture, backend development, QA, cloud infrastructure, deployment, and ongoing product engineering. Some focus specifically on AI-built applications, while others provide broader development services once the prototype is exported into a conventional engineering workflow.
The right fit depends on how much of the existing Lovable application can be retained and what the product needs before launch. For a simple MVP, this may mean targeted security and performance improvements, while more complex products may require deeper architectural work, integrations, testing, or a partial rebuild. In either case, the goal is to turn a validated Lovable prototype into a secure, scalable, maintainable product that can support real users and continued development.
