Core capability
React Native
Production React Native application development
Explore React NativeTechnologies & platforms
No mandatory stack. Just technology chosen for the system that has to survive.
Automiq builds across modern software, mobile, AI, automation, cloud, data, deployment, and business platforms. We select architecture for the workload, constraints, delivery stage, and people who will maintain it.
Workload & users
Security & data
Team & budget
Architecture decisions
Fit-for-purpose stack
Observable delivery
Maintainable handover
Languages, runtimes, web & mobile
Typed application stacks for maintainable web products, APIs, and mobile experiences.
Extended capability
React
Custom React application development
Explore ReactExtended capability
Next.js
Production Next.js application development
Explore Next.jsExtended capability
Node.js
Node.js backend and platform development
Explore Node.jsExtended capability
TypeScript
TypeScript product and platform engineering
Explore TypeScriptAI models, frameworks & automation
Models and orchestration selected around accuracy, latency, data boundaries, evaluation, and operating cost.
Core capability
OpenAI
Custom OpenAI development for production systems
Explore OpenAICore capability
Anthropic Claude
Anthropic Claude development and production integration
Explore Anthropic ClaudeCore capability
n8n
Production n8n automation and AI agent workflows
Explore n8nExtended capability
Google Gemini
Google Gemini development and AI integration
Explore Google GeminiExtended capability
LangChain
LangChain agent, retrieval, and workflow engineering
Explore LangChainExtended capability
Python
Python software, data, and AI engineering
Explore PythonCloud, data & application platforms
Infrastructure and data services designed for security, recovery, observability, and the team operating them.
Core capability
AWS
AWS software and production AI development
Explore AWSExtended capability
PostgreSQL
PostgreSQL architecture, migration, and application development
Explore PostgreSQLExtended capability
Supabase
Supabase application development and production hardening
Explore SupabaseExtended capability
Microsoft Azure
Azure cloud and production AI development
Explore Microsoft AzureExtended capability
Google Cloud
Google Cloud software and AI deployment
Explore Google CloudDeployment & delivery
Portable packaging and orchestration for consistent development, release, and scaling.
Extended capability
Docker
Docker application containerization and production delivery
Explore DockerExtended capability
Kubernetes
Kubernetes deployment and platform engineering
Explore KubernetesBusiness platforms & channels
Custom applications and integrations for platforms already central to revenue and operations.
Core capability
Lovable
Audit, secure, and scale applications built with Lovable
Explore LovableExtended capability
Shopify
Shopify application and integration development
Explore ShopifyExtended capability
WhatsApp Business
WhatsApp Business platform and AI integration development
Explore WhatsApp BusinessStack selection
How we choose technology without chasing trends.
The right decision balances product speed with operational reality. These factors are discussed explicitly during discovery and architecture.
| Decision | What we examine | Why it matters |
|---|---|---|
| Product and workload | Users, interactions, latency, offline needs, integrations, scale | Determines the architecture the product genuinely needs |
| Data and risk | Sensitivity, location, permissions, audit, recovery, model access | Prevents convenience from undermining governance |
| Team and handover | Existing skills, hiring market, documentation, ownership model | Keeps the system maintainable after the engagement |
| Cost and portability | Usage pattern, vendor constraints, hosting options, migration paths | Controls total operating cost and avoidable lock-in |
Technology in context
The stack matters because of the product decisions around it.
Our case-study catalog connects technologies to users, workflows, operating constraints, and product lessons rather than treating frameworks as the outcome.
Product visual
founded
ATZ CRM
AI, Web app, Workflow automation, CRM integrations supporting Recruitment and B2B SaaS workflows.
- Recruitment
- B2B SaaS
Product visual
founded
Fieldified
Web app, Mobile workflows, Payments, Automation supporting Field services and B2B SaaS workflows.
- Field services
- B2B SaaS
Product visual
founded
LendControl
Web app, Inventory, Payments, Automation supporting Rental operations and B2B SaaS workflows.
- Rental operations
- B2B SaaS
Questions, answered
Technology questions, answered
How stack selection, existing systems, model choice, and handover work.
Does Automiq use one standard technology stack?
No. Automiq selects the stack around workload, product stage, security, integration needs, delivery speed, operating cost, and the team that will maintain the system after handover.
Can Automiq work with our existing stack?
Usually, yes. The team first evaluates the current architecture, development practices, risks, and constraints. A rewrite is recommended only when the evidence shows that incremental change would create more cost or operational risk.
Which AI models does Automiq support?
The catalog includes OpenAI, Anthropic Claude, and Google Gemini, plus orchestration and automation technologies such as LangChain and n8n. Model choice depends on accuracy, latency, data policy, tool use, availability, and cost.
How is technology handed over?
Handover can include source repositories, infrastructure configuration, environment and access documentation, architecture decisions, deployment workflows, monitoring, operating runbooks, and walkthrough sessions.
Talk to the engineering team
Choose architecture for the product you are building—not the trend of the month.
We can audit an existing stack or define the technical foundation for a new product and production AI system.