Top 14 Lovable App Audit Companies (2026)

Gilzor works with AI-built applications that have reached the point where functional prototypes need a more dependable production foundation. Its engineering service explicitly covers products created with Lovable and includes human review of AI-generated code, security gaps, reliability, architecture, infrastructure, observability, and scaling concerns. That combination makes the company relevant for founders who want the audit to lead into stabilization or further product development rather than stop at a written report.

RapidDev offers a dedicated Lovable security audit rather than treating AI-generated applications as ordinary web projects. Its review focuses on exposed API keys, database and Supabase RLS policies, authentication, authorization, server-side validation, API security, and unintended data exposure. The company’s standard Lovable audit is performed with read-only access and typically produces severity-ranked findings plus remediation guidance. Teams can also continue with RapidDev for implementation if they want the same provider to fix the problems identified during the audit.

OSKI Solutions provides a technical audit process for existing codebases. Its modernization work begins by examining code, data, integrations, and business workflows before creating a modernization roadmap. Stabilization can then include tests, observability, guardrails, integration work, and incremental re-architecture.

That scope can fit a Lovable application when the main requirement is a broader technical assessment followed by hands-on engineering. OSKI works with modern web technologies including React, Node.js, TypeScript, cloud infrastructure, APIs, and application modernization rather than limiting the engagement to an audit report.

A-listware is a broader software engineering and cybersecurity provider. Its current services include security assessment, security testing, penetration testing, security code review, compliance assessment, software testing, application development, and legacy modernization.

For a Lovable application, that makes A-listware more relevant when the review needs to focus on conventional software engineering controls instead of the builder itself. Teams can use its security and QA capabilities to examine vulnerabilities, code quality, application behavior, and testing gaps, then extend the engagement into development or modernization if remediation is needed.

Stack3 Labs provides a vibe-code audit for applications built with Lovable, Cursor, Bolt, v0, Replit, and related tools. Its review covers areas such as authentication, API keys, payments, Supabase RLS, database configuration, deployment, monitoring, and production gaps. The audit is positioned as the first step before a possible production rescue engagement, so it fits teams whose Lovable prototype has already reached its technical ceiling and may require both diagnosis and implementation. Audit deliverables include findings and a plan for getting the product into a more stable production state.

Itexus offers Project Audit and Rescue services for existing software. Its audit scope covers codebase condition, architecture, documentation, integrations, infrastructure, security risks, testing gaps, stability, performance, and development status. The company then prepares a remediation plan covering technical debt and the next development priorities.

Itexus is particularly oriented toward fintech and other complex products, but the underlying audit and rescue process is applicable to an exported Lovable codebase when the project needs conventional software engineering scrutiny. 

Beesoul audits AI-generated applications built with Lovable, Bolt, Cursor, Replit, v0, and similar platforms. Its published audit framework examines security, architecture, data integrity, scalability, authentication, database permissions, payment flows, secrets, and other production risks. Beesoul positions the audit as a way to determine what can stay, what needs repair, and whether parts of the product should be rebuilt. This broader scope can suit founders who are less concerned with a single vulnerability and more interested in understanding the overall technical condition of a fast-built MVP.

net-devs offers an AI-accelerated audit for existing enterprise codebases. Its process maps the current system, identifies risk hotspots, and produces a sequenced modernization roadmap before major changes are made. The company also documents code review, automated and manual QA, cloud engineering, CI/CD, and production operations as part of its wider engineering work.

Its relevance is strongest when a Lovable prototype has evolved into a larger product and the business wants an architecture-level assessment before deciding how much of the existing system should be retained, refactored, or modernized.

LOW/CODE Agency provides production-readiness reviews for existing Lovable applications. Its published process includes reviewing Supabase RLS, searching the codebase for exposed credentials, testing authentication flows, checking failure handling, evaluating performance under concurrent use, and adding monitoring where needed. Compared with security-only audits, this scope extends further into reliability and production behavior. The agency may therefore fit founders who have already validated their app in Lovable but need an engineering team to determine what must change before putting significant traffic or operational dependence on it.

SoftPro relevance comes from broader web application development, modernization, cloud engineering, maintenance, and support capabilities. The Warsaw team works with React, Node.js, .NET, Azure, AWS, and other technologies used for custom business applications.

For teams that already know a Lovable-built application requires engineering work, SoftPro can be considered for the assessment and remediation stage. Its services include secure and scalable web development, cloud-native re-architecture, migration, regular updates, bug fixes, performance improvements, and ongoing monitoring.

The Yellow Labs works with applications created through Lovable, Replit, Cursor, Bolt, v0, and other AI development tools. Its code audit reviews the suitability of the existing stack, authentication, payment and data exposure, architecture, performance, and production-readiness requirements. The output includes a written report and an implementation roadmap that can be used with The Yellow Labs or another developer. Because the audit covers both immediate vulnerabilities and the broader ability of the existing architecture to support the product, it is relevant to founders deciding whether to harden the current Lovable application or make deeper structural changes.

21century.tech is an AI-native software studio. Its delivery model combines AI-assisted coding with human responsibility for architecture, design, business logic, code review, QA, and security decisions. The generated code is human-reviewed and tested before it is merged.

For a Lovable project, that model can fit teams looking for code review and refactoring followed immediately by engineering work. The studio also publishes capabilities around legacy refactoring, third-party integrations, CI/CD, tests, documentation, and production deployment. 

Mobian is a European software engineering partner focused on mobile, AI, and digital products, with both outsourced delivery and team augmentation models. When joining an existing product, its process starts with assessing the current software and identifying gaps in expertise before defining the next development steps.

The company emphasizes clean architecture, test coverage, documentation, post-launch support, performance monitoring, and scale planning. These capabilities make Mobian more relevant to Lovable owners who want a broader engineering assessment and long-term product support.

Lezenda provides an AI App Audit aimed at applications created quickly with Lovable, Bolt, Cursor, and other AI development environments. Its production-readiness service combines automated checks with manual engineering review and looks beyond standard code scanning to issues such as architecture, database design, business logic, dependencies, and security controls. The company can also refactor the codebase and address RLS or other vulnerabilities after the review. Lezenda can be a practical fit for teams that want one provider to assess an AI-generated product and then perform the engineering work needed to make it safer to operate.