Tech Audit
Know where you stand. Build what lasts.
We help you uncover technical debt, assess scalability, and align your stack with your business goals—so your tech doesn’t hold you back.
At CuriousAI, our mission is simple – turn intelligent technology into practical tools that help teams move faster and think bigger.


What We Offer?
Architecture & Codebase Review
We assess whether your current foundation supports your vision—and highlight where it cracks under pressure.
- Review of structure, patterns, modularity, and readability
- Analysis of code quality, duplication, and testing coverage
- Recommendations for refactoring and maintainability



Infrastructure & DevOps Audit
We examine your cloud setup, CI/CD pipelines, and deployment workflows for reliability, scalability, and cost efficiency.
- Cloud cost optimization and autoscaling readiness
- Security reviews, secrets management, and access controls
- DevOps maturity scoring and incident readiness
Data & API Evaluation
Your backend and data flows matter just as much as the frontend. We review APIs, data pipelines, and storage patterns to find bottlenecks or blind spots.
- Latency, redundancy, and data model audit
- API design review (REST, GraphQL, etc.)
- Logging, monitoring, and observability checks



Security & Compliance Gaps
We highlight vulnerabilities and misconfigurations, aligning your systems with best practices and relevant standards (SOC2, GDPR, HIPAA, etc.).
- OWASP compliance checks and pen-test readiness
- Role-based access, audit logs, and encryption reviews
- Recommendations tailored to your industry
Where Tech Audits Add Value
Ensure your tech can support user growth, product expansion, and fundraising milestones.
Identify performance bottlenecks and dead code
Get investor-ready with a clean, defensible stack
Plan upgrades without disrupting product velocity
Refactor wisely when pivoting, replatforming, or inheriting legacy code.
Audit code handovers or acquisitions
Avoid rework by auditing before feature rebuilds
Reduce team confusion with updated documentation
Operate with confidence in industries where security and compliance are critical.
Identify compliance risks early (SOC2, HIPAA, GDPR)
Secure user data, infra access, and integrations
Align workflows with audit trail requirements
Fix tech debt, bugs, or outages that are silently draining your team’s energy.
Improve reliability and incident response
Reduce support tickets with backend improvements
Free up dev time by killing hidden inefficiencies
We work with early to growth-stage technology teams looking to scale fast—without cracks in the foundation.

Why CuriousAI?
Most audits either go too shallow—or too technical to act on. At CuriousAI, we strike the balance. Our team combines engineering depth with product awareness, so we can spot what’s broken and what’s blocking your growth. You’ll walk away with a clear picture, a priority roadmap, and confidence to scale what works (and fix what doesn’t).



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We're here to answer all your questions.
What is a Tech Audit?
A Tech Audit is a comprehensive review of your company’s technology infrastructure, codebase, data pipelines, architecture, and workflows. At Curious AI, we assess scalability, performance, security, and AI readiness—so your systems can evolve with your business.
Why should I get a Tech Audit done?
A Tech Audit helps uncover bottlenecks, inefficiencies, and technical debt. It ensures your systems are secure, compliant, and scalable, and prepares your business for AI/automation adoption or product growth with confidence.
What areas do you typically audit?
We audit:
Application architecture
Code quality & maintainability
Database structure & performance
DevOps & deployment practices
Security protocols
Scalability & infrastructure
Data quality & readiness for AI
Integration and API health
Team workflows and documentation
Who is this service for?
Tech Audits are ideal for startups preparing to scale, enterprises undergoing digital transformation, companies looking to implement AI, or founders raising funding and needing a clear view of their tech foundation.
Do you audit AI and ML pipelines too?
Yes. We evaluate your ML models, training pipelines, data flows, labeling quality, monitoring systems, and overall AI infrastructure. We also advise on model versioning, retraining strategies, and ML Ops best practices.
Will I get a detailed report after the audit?
Absolutely. You’ll receive a clear, actionable report outlining strengths, risks, quick wins, and long-term recommendations—often broken into Infrastructure, Code, Data, and Team sections.
How long does a Tech Audit take?
Most audits take 2–3 weeks, depending on the size and complexity of your systems. Urgent audits or focused reviews (e.g., just your backend or ML stack) can be delivered faster.
Will the audit affect my live systems or data?
No. Our audit is non-intrusive. We work with staging environments, read-only access, or cloned repositories to ensure your production environment remains unaffected.
Can your team help implement the changes after the audit?
Yes. Once we identify areas of improvement, we can either guide your team or directly take up implementation—be it code refactoring, infra optimization, data restructuring, or AI/ML improvements.
Is the audit a one-time engagement or can it be ongoing?
We offer both. Some clients prefer one-time audits before funding, product launches, or migrations. Others opt for ongoing quarterly audits to maintain tech hygiene and support continuous improvement.