Security, DevOps, LLMOps & Infrastructure
We take over existing apps, including ones built fast or vibe-coded, and add the cloud setup, observability, DevOps, security, and LLMOps that get them into production and scaling reliably.
Your software handles customer data, processes payments, and runs business operations. A security failure can mean lost revenue, regulatory exposure, and damaged trust that takes years to rebuild.
We treat security, compliance, and operational reliability as primary disciplines. Whether you need to meet SOC 2 or ISO 27001 certification, build to HIPAA requirements, keep data in the right jurisdiction, prevent chatbot abuse, or stop your deployment pipeline from breaking every Friday, we can take it on.
Security audits and remediation
We audit codebases, infrastructure, and operational practices against OWASP Top 10, CIS benchmarks, and the threat model that actually applies to your product. Findings come with severity, exploitability, and a remediation plan rather than a 200-page PDF.
Taking over existing apps
If your app was built fast or vibe-coded and now has users, a previous team left, or the original developers cannot be reached, we triage. We figure out what works, what is dangerous, and what to rewrite, and we deliver a plan that prioritizes business continuity over rewrite ambition.
CI/CD and containerization
We build deployment pipelines in GitHub Actions, GitLab CI, or whatever you already use, with automated tests, security scans, accessibility audits, and promotion between environments. Applications are packaged with Docker and orchestrated on Kubernetes or simpler container hosts depending on your operational maturity. Reliability comes from automating the steps humans get wrong, and we have a strong bias against complexity that does not earn its keep, so we will tell you when K8s is the wrong answer.
Cloud and bare-metal infrastructure
The infrastructure choices are based on what the workload actually needs. AWS, Google Cloud, and Azure cover immediate horizontal scale, specific managed services, and regional compliance or data residency requirements, and we have shipped production systems on all three. Providers like Hetzner often give better price-to-performance when scale and managed services are not the priority. When a fully self-hosted deployment is the right answer, our team can travel on-site to install and configure the hardware.
Observability and incident response
When production breaks, the question is how fast someone notices. We build monitoring, alerting, and distributed tracing with whatever stack fits your environment, including Sentry, Prometheus, Grafana, OpenTelemetry, and the commercial equivalents, so an on-call engineer can follow a failing request across services and fix the actual cause. The runbooks we leave behind turn a 3am page into a routine response rather than a panic.
LLMOps and AI abuse prevention
AI features in production need their own operational discipline. We instrument token consumption, per-query cost, latency, and answer quality degradation, with alerts that fire before the bill or the UX surprises you. We also build the guardrails that prevent chatbot abuse: prompt injection defenses, topic guards, rate limiting, and usage monitoring that catches misuse before it becomes a liability. If you already have an AI feature running unsupervised in production, we come in and wrap the observability and controls it should have had from the start.
Compliance, data residency, and data sovereignty
We have built and operated systems under SOC 2 and ISO/IEC 27001 requirements, and we build to HIPAA requirements for products that handle health data. We know what auditors actually look for, and we build the controls, documentation, and evidence collection into the system from the start rather than bolting them on before an audit. For organizations with data residency or sovereignty constraints, we architect infrastructure that keeps data in the required jurisdictions, whether that means region-locked cloud deployments, self-hosted infrastructure, or hybrid approaches that satisfy both operational and regulatory needs.
Personal and confidential data
We build software that handles personally identifiable information for clients such as law firms. On Crystal aOS, we used Microsoft Presidio to strip personal information from chats when it appeared. For products that handle health data, we build to HIPAA requirements.
Triage and assessment
We review the codebase, infrastructure, and operational practices to identify the highest-risk issues and the highest-leverage fixes. Output is a prioritized plan with effort estimates, not a wishlist.
Stabilize first
If production is on fire, we stop the bleeding before we start improving. The work that prevents the next outage takes precedence over the work that improves the next sprint.
Modernize and harden
Once stable, we work through the remediation plan: pipeline modernization, security fixes, observability gaps, infrastructure improvements. Each change ships independently rather than in a giant rewrite.
Handover and ongoing support
We document the work, train your team, and offer ongoing retainers if you want continued support. We are equally happy to hand off completely once the system is in good shape.
Our infrastructure has supported platforms managing over $20 million USD in deposited funds across DeFi protocols with zero successful exploits. Self-hosted blockchain nodes have run for multiple years across Canada and Europe. CI/CD pipelines we built power teams that ship daily without breaking production.
We have rescued stalled projects where the previous team left and the codebase needed someone willing to read it carefully and figure out what was real.
Can you take over a project from a previous team?
Do you do penetration testing?
How is an engagement scoped and billed?
Can you operate the infrastructure for us?
What if the existing code is really bad?
Who owns the infrastructure-as-code?
When Does a Vibe-Coded App Need RLS?
Which apps Row Level Security protects, and how to tell which one you have.
Read the full postSecuring a Vibe-Coded App
How to check whether what an AI tool built is safe, and when a rebuild is faster than a fix.
Read the full postA 15-Point Security Checklist That Startups Often Ignore
A security checklist for SaaS teams.
Read the full postIs Your Codebase Holding Your Business Back?
How to tell if your codebase is the bottleneck.
Read the full postAI Data Residency: When Cloud APIs Fall Short
What to do when your compliance requirements and your AI provider do not align.
Read the full postAI Data Residency: US HIPAA, GLBA & FedRAMP Guide
US regulatory requirements for AI data handling across healthcare, finance, and government.
Read the full postAI Data Residency: Canadian PIPEDA & Law 25 Rules
Canadian privacy law requirements for AI systems handling personal data.
Read the full postNeed to secure, comply, or stabilize?
Tell us what you need to protect. We will tell you what it takes.

