Nine practice areas covering the whole lifecycle — strategy, build, infrastructure and the demand that makes it worth building. Engage one, or hand over the lot.
SVC-01
AI, Agents & Automation
Agents that do the work, not just answer questions — grounded in your own data, wired into your own systems, with the retrieval and guardrails that make them trustworthy.
Agentic AI systems that plan, call tools and complete multi-step tasks
RAG pipelines over documents, catalogues, tickets and knowledge bases
Vector search and embeddings: Pinecone, pgvector, Qdrant, Weaviate
MCP servers exposing your internal tools to AI assistants
AI chatbots and support agents trained on your content
LLM integration into existing apps, CRMs and back offices
Workflow automation with n8n, Make and Zapier
Document extraction, classification and summarisation
Prompt engineering, evaluation harnesses and output guardrails
Model selection and cost tuning across OpenAI, Claude and open models
Servers provisioned, hardened, monitored and kept running — from a single cPanel account to AWS infrastructure, with deployments that are boring on purpose.
AWS: EC2, S3, RDS, Lambda, CloudFront, Route 53
WHM and cPanel server administration and account management
VPS provisioning, hardening and ongoing maintenance
DigitalOcean, Linode, Vultr and Hostinger deployments
Nginx and Apache configuration, reverse proxies and load balancing
SSL certificates, DNS, email routing and deliverability
Docker containers, CI/CD pipelines and zero-downtime deploys
Backups, disaster recovery and uptime monitoring
Server security: firewalls, fail2ban, malware removal, patching
Migration between hosts without losing mail or search rankings