Demo works
UI, login and dashboard look finished. That says little about security, operations and data access.
For founders, product teams and agencies building software with AI
AI builds fast. But not automatically into a system that holds up.
I help founders, product teams and agencies put AI-built software into production under control: with repo reviews, CVE monitoring, infrastructure checks and technical sparring.
Veriploy is the steady framework for that: clear packages, regular reviews, documented findings and direct contact with me.
- Direct technical point of contact
- Repo + CVE + infrastructure
- Async sparring + bookable calls
- Launch and due-diligence lens
- Clear action recommendations
Direct point of contact
Timo Wevelsiep
Software engineer, cloud architect, founder & managing director
I review code, security and infrastructure and surface what is technically risky before launch, customer use or due diligence.
I have delivered production software, infrastructure and cloud systems for clients worldwide, including Europe, the UAE, Asia, Australia and the Americas: from automated multi-location platforms and cloud migrations to remote access systems for industrial plants.
For questions like:
- Is this release production-ready?
- Which CVEs are really critical?
- Are auth, data access and tenant isolation clean?
- What needs fixing before customers or investors?
Between reviews: ask technical questions async or book sparring calls directly in the calendar.
The pattern
The app runs. That just means it isn't visibly broken right now.
AI-built products often look remarkably finished, fast: login works, the dashboard loads, data shows up, the demo flow is convincing. The problem: the risks usually don't sit in the visible UI, but in roles, permissions, RLS, API boundaries, secrets, dependencies, CVEs, backups, monitoring, deployment and infrastructure. Exactly where it gets expensive once real users, customer data, payments or contracts come into play.
Access unclear
Login is not access control. Roles, RLS, tenant isolation and admin rights are often only half-checked.
Operations missing
Backups, restore tests, monitoring, logs, rollback and a CVE process are frequently missing entirely.
Risk turns commercial
At the latest with customer data, enterprise sales, launch or due diligence, the tech becomes a business risk.
When it surfaces
It doesn't get critical when the app runs. It gets critical when someone takes a closer look.
AI-built software can be convincing in demo mode. It gets critical once real users, real data, real customers or real technical questions come into play.
The first customer asks questions
Where is the data, how is access separated, are there roles and backups? At that point "the tool built it that way" is no longer a sufficient answer.
The enterprise security questionnaire
The demo call went well. Then auth, roles, data access, logging, backups, CVE process and hosting land on the table, and it shows whether a robust system sits behind it.
An investor or buyer looks under the hood
In due diligence "it runs right now" isn't enough. Then technical debt, architecture, security risks, operations and scalability count.
The first real user uploads data
Once real customer data, invoices or payment data is stored, RLS, auth, storage policies and backups are no longer tasks for later.
Dependabot flags critical CVEs
Does it really affect us, must it be fixed now, does the update break something? Without triage, CVE monitoring quickly becomes panic or ignoring.
A user sees data that isn't theirs
An admin endpoint checks login but no role. A storage bucket is too open. An RLS policy is just decoration. A detail becomes a trust problem.
Software engineer, cloud architect, founder & managing director
Track record
Where the perspective comes from
The production perspective behind Veriploy comes from real production projects, not from theory.
I'm Timo Wevelsiep. With WZ-IT I have delivered software, cloud and infrastructure projects where systems didn't just have to be built, but had to run reliably: cloud migrations, Proxmox clusters, monitoring, backups, open source platforms, remote access systems, IoT and edge solutions and AI/LLM infrastructure.
Exactly this perspective goes into Veriploy. Because with AI-built software the question is rarely just whether the code works. The more important question is whether the system holds up in front of customers, real data, security questionnaires, infrastructure and operations.
Track record that flows into Veriploy
Example projects that show the breadth of my experience in software, infrastructure and operations. Exactly this perspective is what I bring into Veriploy.
Fully automated cloud platform
Unstaffed gyms with multi-location provisioning cut from 4 hours to 5 minutes, around 98% faster deployment.
nextGYM GmbH (Germany)
Cloud migration to EU infrastructure
AWS migrated to sovereign European infrastructure: from $1,300 to $250 per month, around 81% lower cloud costs.
EVA Real Estate LLC (UAE)
Live product for industrial plants
Remote access and HMI access for distributed plants in remote locations.
ABCO Water Ltd (Australia)
Managed operations for business-critical systems
Proxmox cluster with monitoring, updates, backups and high availability in live operation.
Aphy AG (Switzerland)
Veriploy is deliberately personal. You don't write into an anonymous ticket system, you work directly with me. When a review grows larger or implementation and operations are needed, I can draw on the structures and experience from WZ-IT.
Note: the projects shown were delivered or supported as part of my previous entrepreneurial work, in particular through WZ-IT. They show my personal track record in software, infrastructure and operations. The companies named are not customers of Veriploy.
Code + operations
Not just app code. The operations underneath, too.
Many AI-built products run on Vercel, Supabase, Railway, Coolify, Docker, Kubernetes, Cloudflare or their own infrastructure.
The code can work and the system still not hold up: no restore test, no monitoring, unclear secrets, wrong environments, missing rollback, open storage buckets, no CVE assessment, no answer to hosting or data residency questions.
Hosting & deployment
Vercel, Supabase, Railway, Coolify, Docker, Kubernetes, Cloudflare or your own infrastructure.
Operations & resilience
Monitoring, backups, restore tests, rollback, secrets, environments and high availability.
Security & CVEs
CVE assessment, storage buckets, access, hardening and a transparent patch process.
AI & LLM infrastructure
LLM APIs, data flows, local LLM hosting, GPU servers and data residency.
From WZ-IT projects I bring exactly this infrastructure and operations perspective: cloud migrations, Proxmox, Kubernetes, monitoring, backups, managed operations, CVE processes and local AI/LLM infrastructure. At Veriploy this perspective goes into every review.
Do you recognize these risks in your own app?
The AI-app risk self-check assesses product status, stack, auth, data access, infrastructure, CVEs and your technical knowledge, and shows whether a review makes sense.
Responsibility
AI writes code. Responsibility stays with the team.
As long as an AI MVP is only tested internally, technical chaos is usually survivable. The moment real users, customer data, payments or customer contracts are involved, unreviewed code is no longer a harmless shortcut. AI does not take responsibility for whether users can see other people's data, whether CVEs are production-critical or whether backups are restorable.
That responsibility stays with the team. Veriploy makes sure it isn't carried blind.
- Login is not access control.
- Dependabot is not a priority list.
- A backup without a restore test is hope.
- A demo flow is not a launch review.
- An AI code review tool doesn't automatically see your business risk.
Why Veriploy
Saving on development is sensible. Flying blind isn't.
Many teams use AI because they don't want to build a full engineering team. That's legitimate. The mistake isn't lowering development costs. The mistake is also cutting technical control entirely. Veriploy is not a cheap developer substitute and not a feature flat rate, but the technical control layer in between: cheaper than a permanent senior engineering retainer, yet serious enough to review risks regularly and back technical decisions.
Use only AI
Fast and cheap, but without independent technical assessment of architecture, security, dependencies and infrastructure.
Hire a senior developer
Strong control, but high ongoing cost, recruiting effort and, for many AI products, too early.
Veriploy
Ongoing technical oversight, clear priorities and direct access to senior engineering judgment, without full-time developer costs.
What it's really about
The goal isn't a review. The goal is a product that holds up.
Veriploy doesn't review code, security and infrastructure for its own sake. The goal is that AI-built software can be put into production under control: with clear data access, prioritized CVEs, transparent technical decisions, monitoring, backups, release assessments and less flying blind in front of customers, security questionnaires or due diligence.
Safer in operation
Auth, roles, RLS, tenant isolation, API boundaries and secrets are assessed before real users or customer data become a risk.
Observable
Monitoring, logging, backups, restore tests and rollback are considered, so production doesn't first become visible through customer feedback.
Operable
Deployment, environments, responsibilities, rollback and recovery are assessed so the product doesn't just go live, but stays manageable day to day.
Auditable
Risks, findings and decisions are documented: what is critical, what can wait, what blocks the launch?
Scalable
Architecture, data model, dependencies, infrastructure and deployment are checked not just for "it runs", but for growth, operations and maintainability.
Decidable
Teams don't get a wall of scanner output, but clear priorities: fix now, fix before launch, plan for later.
Services
So that AI-built software doesn't just run, but can be operated.
Veriploy combines regular technical review with direct expert access. You get not just findings, but qualified assessments, priorities and concrete next steps.
Technical sparring
Architecture, release and security questions can be asked asynchronously or booked as a sparring call. Depending on your plan, a monthly sparring allowance is available, for fast assessments, priorities and concrete next steps.
See sparring allowancesRegular repo reviews
Veriploy reviews new changes, architecture, auth, data model, API boundaries and AI-typical risk patterns monthly or weekly.
See the repo review subscriptionCVE & dependency monitoring
Dependencies are monitored for known vulnerabilities. Critical CVEs aren't just collected, but prioritized in the context of your product.
See CVE monitoringInfrastructure watch
Hosting, deployment, backups, monitoring, secrets, database access, rollback and production readiness are assessed regularly.
See the infrastructure auditExpertise
Typical stacks that show up in reviews.
Many AI-built products are made from the same building blocks: Next.js, Supabase, Vercel, Stripe, LLM APIs, vector search, jobs, auth and deployment platforms. Veriploy doesn't just check whether code works. What matters is whether these building blocks work together securely and production-ready.
AI builders & app frameworks
- Lovable
- Cursor
- Bolt
- Replit
- Claude Code
- v0
- GitHub Copilot
- Windsurf
- Next.js
- React
- TypeScript
- Node.js
- Python
- FastAPI
- Laravel
Databases, ORMs & RLS
- PostgreSQL
- MySQL
- MariaDB
- MongoDB
- SQLite
- Supabase
- Neon
- PlanetScale
- Turso
- Redis
- Upstash
- Prisma
- Drizzle
- Mongoose
- SQLAlchemy
- pgvector
- RLS
- Tenant-Isolation
AI, RAG & vector search
- OpenAI
- Anthropic
- Gemini
- Azure OpenAI
- AWS Bedrock
- Mistral
- Ollama
- Vercel AI SDK
- LangChain
- LlamaIndex
- LangGraph
- Embeddings
- RAG
- Tool Calling
- Pinecone
- Qdrant
- Weaviate
- Chroma
Auth, billing & multi-tenant
- Supabase Auth
- Clerk
- Auth.js / NextAuth
- Firebase Auth
- Auth0
- Keycloak
- Authentik
- OAuth/OIDC
- SSO
- RBAC
- Organizations
- Stripe Checkout
- Stripe Billing
- Webhooks
- Paddle
- Lemon Squeezy
Deployment, PaaS & infrastructure
- Vercel
- Netlify
- Railway
- Render
- Fly.io
- Coolify
- Dokploy
- Cloudflare Workers
- Docker
- Docker Compose
- Kubernetes
- GitHub Actions
- GitLab CI
- Terraform
- Ansible
- Hetzner
- AWS
- Azure
- Proxmox
Monitoring, jobs & security
- Sentry
- PostHog
- Grafana
- Prometheus
- Loki
- Better Stack
- OpenTelemetry
- Uptime Kuma
- Inngest
- Trigger.dev
- BullMQ
- Celery
- Dependabot
- Snyk
- Trivy
- Semgrep
- Secret Scanning
- CVE-Monitoring
How it works
How working with Veriploy looks
No anonymous scanner portal. First I clarify context, goal and risks, then I review code, security and infrastructure with clear results.
- 01
Fit check
In a short call we clarify tool, stack, product status, users, data, infrastructure and current risk. After that it is clear whether a Baseline or ongoing oversight makes sense.
Result: Recommended entry point and a clear scope.
- 02
Context & access
For the review, read-only access to the repository plus information on hosting, database, auth, deployment and critical data flows is usually enough. Write access is not required.
Result: Full review context without unnecessary changes to the project.
- 03
Technical review
I review code, architecture, auth, database, dependencies, CVEs, deployment, backups, monitoring and infrastructure, once, monthly or weekly depending on the plan.
Result: Findings with risk, priority and concrete next steps.
- 04
Report & sparring
Instead of a wall of scanner output there is a clear risk rating, prioritized recommendations and, when needed, sparring via async message or a sparring call.
Result: A clear decision: fix now, fix before launch, plan for later.
- 05
Optional ongoing oversight
If the product keeps evolving with AI, Veriploy can watch the repo continuously: review new changes, triage CVEs, assess releases and answer technical questions between reviews.
Result: A continuous technical eye without your own developer retainer.
Pricing
Technical control is cheaper than a later security, data or launch failure.
Veriploy is not a feature flat rate or a cheap developer replacement. The packages are built by risk level: initial assessment, ongoing technical oversight, active product development or launch and customer use.
All ongoing packages start with a Baseline, so the technical starting point is clear.
One-time entry
Veriploy Baseline
790 €one-time
Initial review for AI-built MVPs, internal tools and early products. The Baseline shows where the project stands technically, which risks are relevant before launch, customer use or further development, and whether ongoing technical oversight makes sense.
Included
- Review of one clearly scoped repository
- Look at architecture, code, auth, roles and data access
- Tenant isolation check for multi-user, workspace or SaaS products
- Dependency and CVE initial assessment
- Basic check on deployment, secrets, monitoring, backups and rollback
- Compact risk rating with prioritized next steps
- Recommendation: no ongoing oversight needed, Oversight, Guard or Launch
Not included
- Full penetration test
- Full infrastructure audit
- Fixes or feature development
- Ongoing monitoring
- 24/7 incident response
- Security certification or guarantee of being defect-free
For teams who want to know whether their AI-built software is ready for real users, customer data, customer questions or the next release.
Request BaselineOversight
990 €/ month
For early products & internal tools
Ongoing technical oversight for AI-built products that are developed regularly but don't yet need their own senior engineering setup.
- 1 repository
- Monthly review of code, architecture, auth, data access and backend risks
- CVE and dependency monitoring
- Basic look at infrastructure, deployment, monitoring, backups and rollback
- Monthly risk rating
- Prioritized action list
- Sparring and clarification allowance for technical questions and next steps
- Up to 3×30 minutes per month, usable async or as a call
- Response target: next business day during business hours
A fit for early AI products, internal tools and MVPs where technical risks should be assessed regularly.
Discuss OversightPopular
Guard
1,950 €/ month
For active products & small teams
The standard plan for teams that keep developing with AI and need an ongoing senior look at code, security, releases and operations.
- 1 repository
- Weekly look at new changes, risky commits or PRs
- CVE monitoring with prioritization of critical alerts
- Check of auth, roles, data access and tenant isolation
- Ongoing look at API, database, backend and architecture risks
- Quarterly infrastructure and deployment check
- Monthly report with fix prioritization
- Extended sparring and clarification allowance for architecture, infrastructure and release questions
- Up to 6×30 minutes per month, usable async or as a call
- Calendar access for direct booking
- Response target: same business day during business hours
A fit for products with real users, customer data or ongoing development, where technical risks shouldn't just run along on the side.
Discuss GuardLaunch
3,900 €/ month
For customer use, enterprise sales & due diligence
Intensive technical oversight for AI-built products where technical risks can endanger customers, revenue, enterprise sales or investor confidence.
- Up to 3 repositories
- Weekly repo and PR look
- Active CVE and dependency monitoring with prioritization
- Monthly infrastructure, deployment and operations check
- In-depth check of auth, roles, data access, tenant isolation, API and payment flows
- Backup, monitoring, logging and rollback check
- Launch risk report
- Release assessment before larger deploys
- Go/no-go recommendation for critical launch risks
- Large sparring and clarification allowance for critical architecture, infrastructure, release and due-diligence questions
- Up to 9×30 minutes per month, usable async or as a call
- Calendar access for direct booking
- Response target: same business day during business hours, prioritized for critical launch or release questions
A fit for teams facing launch, customer use, enterprise security questionnaires, larger releases or technical due diligence.
Discuss LaunchScale
Enterpriseon request
Agencies, teams & multiple repos
Available individually
- Multiple repos and environments
- Regular release reviews
- Dedicated async channel
- Prioritized booking slots
- Regular standing meeting
- Quarterly architecture review
- Individual response targets
- Support across multiple projects or client projects
For agencies, teams and companies with multiple repositories, client projects or environments.
Request ScaleAbout the sparring and clarification allowance
The allowance is freely usable for technical questions, next steps, architecture and infrastructure decisions, release questions, prioritization of findings or alignment on specific risks.
Not counted against the allowance are the reviews, reports, risk ratings, CVE and dependency monitoring services or agreed technical checks included in the package.
The allowance is not a feature development budget and does not replace implementation. It exists to assess technical questions faster, back up decisions and prioritize next steps more clearly.
Which package fits?
Baseline
When you want a one-time read on where your project stands technically.
Oversight
When your AI-built product keeps evolving but is still early.
Guard
When real users, customer data or regular releases are involved.
Launch
When customers, enterprise sales, security questionnaires, larger releases or due diligence are on the table.
Sample report
Not everything is critical. But some things are.
An AI-built product quickly raises a lot of technical questions: auth, roles, data access, CVEs, backups, monitoring, deployment, infrastructure.
The value of a review is not in listing as many problems as possible.
The value lies in separating them:
Launch blocker
Must be resolved before customers, real data or due diligence.
Fix before the next deploy
Not immediately critical, but risky enough not to leave it sitting.
Plan it in
Technical debt, maintenance, structure, monitoring or improvements.
Accepted risk
Consciously documented, but not currently blocking.
That way you don't end up with a list nobody prioritizes. You get a basis for decisions: what has to happen now, what can wait, and where it gets dangerous if nobody looks.
Comparison
Why not just an AI code review tool?
AI code review tool
- Advantage
- cheap, fast, helpful for PR comments
- Limit
- often doesn't understand business risk, infrastructure and product context
One-off audit
- Advantage
- a good starting point
- Limit
- two weeks later the repo looks different again
Fractional CTO
- Advantage
- strategically strong
- Limit
- often broader, pricier and not focused on ongoing repo/CVE/infra review
Hiring a developer
- Advantage
- best in-team control
- Limit
- high fixed costs, hard to fill, often too early
Veriploy
- Advantage
- ongoing technical oversight, fixed price, senior lens
- Limit
- no feature development included
Veriploy doesn't replace an engineering team. Veriploy replaces the technical blind spot that appears when teams use AI but have no senior engineering control in the project.
Is it a fit?
Who Veriploy is for
A fit for …
- Founders, solo builders and small teams with an AI-built MVP
- Product teams accelerating internal tools or SaaS with AI
- Agencies securing AI-generated client projects technically
- Companies that don't want to hire a senior developer permanently but need technical control
- Teams before launch, customer use or a larger release
- Projects with real users, data, payments or infrastructure
Not a fit for …
- feature development on subscription
- "can you just quickly" support without scope
- formal penetration tests as a replacement for a security audit
- highly regulated systems without individual scoping
- projects without repository or infrastructure access
- expecting 24/7 incident response without a separate agreement
- expecting guaranteed bug-free code or full security certification
FAQ
Frequently asked questions
Does Veriploy replace a developer?
No. Veriploy is technical oversight, not a full-time developer and not a feature flat rate. The product keeps being built with AI, an internal team or external developers. Veriploy regularly checks whether code, security, CVEs and infrastructure are heading in a risky direction.
Do I need an AI architect, fractional CTO or Veriploy?
Many teams first look for an AI architect, fractional CTO or cloud architect when their AI-built app needs to become production-ready. Veriploy is more narrowly focused: not a full CTO replacement, not a development agency, not an LLMOps team, but ongoing technical oversight for AI-built software. It's a fit once an MVP already exists and should be reviewed regularly: repo, architecture, auth, data access, CVEs, deployment, monitoring, backups and launch risks.
Can I keep building with Lovable, Cursor or Claude Code?
Yes. That's exactly what Veriploy is for, you keep building with AI, I keep an eye on the repo, CVEs and infrastructure.
Does Veriploy access my repo?
Read-only access is enough by default. Write access is not required. PR comments or tighter integration only happen by arrangement. For infrastructure checks, additional info is required depending on the package.
Does Veriploy also do fixes?
Not in the subscription. Veriploy reviews, prioritizes and advises. Critical fixes, refactorings or infrastructure work can be commissioned separately if needed.
Is Veriploy a replacement for a pentest?
No. Veriploy is not a formal penetration test or a red team audit. Veriploy is ongoing technical oversight for AI-built software: repo, architecture, auth, data access, CVEs, infrastructure, monitoring, backups and launch risks are assessed regularly in the context of the product. A penetration test can make sense in addition, especially for fintech, health tech, regulated products, critical infrastructure or larger enterprise deals. It does not replace the ongoing review of repo, CVEs and infrastructure.
Do I get a security guarantee?
No. You get a technical assessment, a risk traffic light and action recommendations, not an absolute security guarantee. The goal is to make risks visible and decidable early.
What happens with a critical CVE?
The CVE is triaged: affected or not, affected component, deployment context, update path, risk and recommended next steps.
What does this cost compared to a developer?
Veriploy isn't a replacement for an engineering team, but the technical control layer for teams that use AI and want to keep development costs low. The price is well below a permanent senior engineering retainer, yet delivers regular technical assessment of repo, CVEs, security, infrastructure and launch risks.
How do the sparring calls work?
Depending on your plan, a monthly sparring allowance is available. It can be used for asynchronous questions or for sparring calls and covers technical assessment within the agreed scope, not feature development or arbitrary support. Calls are booked flexibly via a calendar, as long as allowance is available.
Can I book a call anytime?
Calls are booked via the calendar, as long as there is sparring allowance left in your plan. Availability depends on free slots in the calendar.
Is Veriploy 24/7 support or incident response?
No. Veriploy is ongoing technical oversight and technical sparring during business hours. 24/7 incident response or operational on-call can be arranged separately.
Use cases
The right entry point for every AI build
From the AI tool to security, infrastructure and launch: Veriploy covers the typical situations.
By AI tool
Security & architecture
Launch & operations
Preflight check
Not sure whether you need a review?
The preflight check helps you roughly gauge product status, users, data and obvious risks. For a real technical assessment you then need a Baseline or ongoing oversight.
Start the risk self-checkGet started
AI-built software shouldn't grow without technical oversight.
A short fit check shows where the project stands and which review level makes sense.
Book a 15-min fit checkRepo fit
[email protected]
Check repo fit
Briefly describe the project.
Direct contact with me, no anonymous ticket system. I get back to you with a first assessment and the right entry point.
Timo Wevelsiep
Software engineer, cloud architect, founder & managing director