Engineering studio · Dublin
Build secure AI and cloud systems that hold up in production.
For teams shipping customer-facing products, internal platforms, or regulated workflows — we design and deliver systems that reduce manual work, improve reliability, and keep governance visible from day one.
Three ways we can help
Secure AI Systems
We design and deploy private-cloud LLMs, custom Model Context Protocol (MCP) servers, and prompt-injection guardrails for governed production AI.
→Cloud Platform & DevSecOps
We automate cloud infrastructure using Terraform, secure release pipelines, and automate audit evidence collection for SOC 2 and ISO 27001.
→Product Engineering
We build high-performance Next.js web apps, serverless APIs, and robust system integrations to turn operational bottlenecks into clean digital products.
→Outcomes, not slide decks
Cut manual review time from days to minutes
Sovereign AI Integration for Financial Operations
Designed a secure, audit-logged retrieval-augmented generation (RAG) system for a regulated enterprise, allowing access to internal data and private LLMs without data egress.
Reduced deployment overhead by 60%
Cloud Infrastructure & CI/CD pipeline Modernization
Automated multi-region AWS environments using clean, reusable Terraform modules. Embedded automated compliance checks and secrets management into the developer release pipeline.
Moved fragile workflows into governed production automation
Serverless Customer Web Portal & API Integration
Built a high-performance Next.js product portal connected to internal databases and third-party APIs via serverless workflows, removing repetitive operational tasks.
Engineer-owned. Client-aligned.
Chaplau is transitioning to a member-owned developer cooperative. The people who build and operate your systems have a direct stake in quality, continuity, and long-term client trust.
Continuity over churn
The cooperative transition is designed to keep experienced engineers close to the work, the client context and the long-term consequences of technical choices.
Accountability by design
Shared ownership means the people building and operating systems have a direct stake in quality, maintainability and client trust.
No pressure to overpromise
The model we are building toward favours sustainable margins, reusable tooling and careful delivery over investor-led growth at any cost.
Security-minded stewardship
Data protection, AI governance and operational resilience become part of the ownership culture, not an afterthought bolted onto delivery.
Guides & playbooks
Governing AI in Production: A Practical Guide
Learn how to put access boundaries, audit trails, and output evaluation filters around LLM-enabled systems before launching to customers.
Read →Automating SOC 2 and ISO 27001 Evidence on AWS
A step-by-step checklist for setting up automated security checks and config snapshots using Terraform and AWS Config.
Read →When to Deploy Open-Weight Private Models
A commercial evaluation of cost, latency, and data sovereignty trade-offs between OpenAI APIs and private Llama 3 hosting.
Read →“Chaplau delivered our private LLM pipeline within weeks, ensuring 100% data sovereignty and compliance. Their engineering discipline is exceptional.”
“They modernized our AWS cloud environments into clean Terraform. Deployment overhead decreased by more than half, and release confidence is at an all-time high.”
Common questions
We design and deploy secure AI workflows, automate multi-environment cloud infrastructure, and build high-performance customer-facing or internal applications. We avoid vague consultancy reports and deliver production-ready code with clear operations handovers.
We begin with a brief discovery call to map out your systems, bottlenecks, security guidelines, and business goals. From there, we propose a fixed-scope discovery phase, a targeted technical spike, or a clear delivery roadmap.
Chaplau is transitioning to a member-owned developer cooperative. This means the engineers building and maintaining your systems have a ownership stake in the studio. This alignment promotes long-term accountability, software quality, and continuity of knowledge.
Security is built in from day one. We never hard-code secrets, we enforce least-privilege IAM access, and we build deployment configurations using environment variables. For AI systems, we prioritize private deployments, input/output guardrails, and detailed audit logging.
Yes. We regularly work with AWS, Terraform, Next.js, Python, and TypeScript stacks. We integrate cleanly with your existing version control, CI/CD tools, and monitoring setups without needing to rebuild everything from scratch.
We either hand over the systems cleanly with complete documentation and runbooks for your team, or we stay on to provide managed operations, observability monitoring, and continuous security auditing.
Start a project
Tell us about the systems you want to build, modernise, or secure.