Revenue-stage companies
Custom Software Development
Custom software development for startups and growing businesses
- Established SMEs
- Funded startups
Services
One senior team for software, AI, and the systems between them.
Build a new product, automate an operation, extend a live platform, or move a prototype into production. Automiq brings product design, software engineering, AI, integrations, cloud delivery, and handover into one accountable engagement.
Product goal
Current systems
Users & constraints
One senior delivery team
Working increments
Production release
Owned handover
Where to start
Which problem are you solving?
Choose the closest job. Discovery confirms the right service mix and a first milestone before a larger roadmap is proposed.
| Option | Best when | Main tradeoff |
|---|---|---|
| Automate an operation | Replace repetitive work across finance, support, sales, marketing, or delivery with monitored workflows that handle real exceptions. | Informed by operating automation inside our own SaaS products. |
| Build a product | Take a web, mobile, SaaS, or AI product from discovery to production with one senior design and engineering team. | The founding experience behind ATZ CRM, Fieldified, and LendControl. |
| Scale a live platform | Add features, integrations, AI capabilities, observability, and delivery capacity without rebuilding what already works. | Product ownership means we plan for maintenance after launch. |
| Rescue a prototype | Audit no-code or AI-generated applications, then harden architecture, security, data, and deployment for production. | A staged path from prototype speed to maintainable software. |
Software Development
Production web, mobile, and platform software designed around the operation—not a generic template.
Non-technical founders
No-Code to Custom
Migrate no-code applications to maintainable custom software
- Growing startups
- Operations teams
Founders with AI-built products
Vibe-Coded to Production
Production hardening and re-engineering for AI-generated applications
- Teams with unstable prototypes
Startups
Web & Mobile Development
Production web and mobile application development
- SMEs
- Product companies
Startup founders
Product Design (UX/UI)
End-to-end UX and UI design for software products
- Product teams
- Businesses modernizing software
AI & Automation
AI products, integrations, infrastructure, and workflows with evaluation, monitoring, and human controls.
Funded startups
AI Product & Platform Engineering
Production AI product and SaaS platform engineering
- AI founders
- Product companies
SMEs
AI Workflow Automation
Production AI workflow automation across business systems
- Operations teams
- Revenue-stage companies
Software companies
AI Integration
Integrate AI into existing products, workflows, and data systems
- SMEs
- Product teams
Law firms
AI Legal Automation
Legal AI systems with citations, permissions, and human review
- Legal teams
- Legal technology companies
AI product teams
AI Infrastructure & Deployment
Production infrastructure, observability, deployment, and governance for AI systems
- CTOs
- Regulated businesses
Revenue teams
AI Marketing Automation
Custom marketing automation, journey orchestration, and AI decisioning
- Marketing operations
- SaaS companies
For Founders
A product and engineering partnership for founders moving from idea to a product real customers can use.
Non-technical founders
Founders Partnership
Technical and AI product partnership for non-technical and early-stage founders
- Funded startups
- Founders without an in-house engineering team
0→1 partnership
Built for founders who need product judgment, not only development capacity.
Define the first product, ship it to real users, learn from evidence, and retain a codebase and handover path that can support the next stage.
Platforms & Integrations
Custom engineering for high-use channels and platforms that have become central to the business.
E-commerce companies
Shopify Custom Development
Custom Shopify applications, integrations, and operational systems
- D2C brands
- Retail operations
Revenue teams
WhatsApp Business Development
Custom WhatsApp Business systems, AI agents, and CRM integrations
- Customer operations
- International SMEs
Ways to engage
A delivery model matched to the uncertainty and stage of the work.
The commercial shape follows the problem: a bounded milestone when the outcome is clear, or retained capacity when a live product needs continuous senior ownership.
Discovery and architecture
A focused engagement to validate the business case, map workflows, audit data and systems, define architecture, and produce a delivery plan.
Milestone-based build
A defined product or production milestone delivered in reviewable increments with acceptance criteria and clear ownership.
Product growth team
Ongoing senior product and engineering capacity for live platforms that need features, reliability, integrations, and AI improvements.
Delivery method
The same production discipline across software and AI.
The depth and duration change by project; explicit scope, evaluation, monitoring, and handover remain.
- 01
Scope & discovery
Map users, workflows, constraints, success measures, and the smallest valuable production milestone.
Outcome: Prioritized scope and delivery plan
- 02
Data & architecture
Audit systems, integrations, data quality, security boundaries, and the architecture the future team can maintain.
Outcome: Architecture and risk register
- 03
Prototype & evaluate
Test the riskiest assumptions against representative data, measurable acceptance criteria, and real user feedback.
Outcome: Evidence-based go or adjust decision
- 04
Build & integrate
Ship in reviewable increments with testing, access controls, observability, documentation, and clear ownership.
Outcome: Production-ready software
- 05
Deploy & hand over
Release progressively, monitor real usage, train operators, and transfer repositories, infrastructure, and runbooks.
Outcome: Controlled launch and clean handover
- 06
Support & grow
Maintain reliability, refine workflows, manage dependencies, and keep shipping as the product and business evolve.
Outcome: A stable platform that keeps improving
Relevant experience
Lessons from products we have founded and helped engineer.
Explore detailed stories covering product context, users, architecture, engineering decisions, operating challenges, outcomes, and lessons.
founded
ATZ CRM
Recruitment and B2B SaaS experience with AI, Web app, Workflow automation.
- Founder-led product
- International customer footprint
founded
Fieldified
Field services and B2B SaaS experience with Web app, Mobile workflows, Payments.
- Founder-led product
- International customer footprint
founded
LendControl
Rental operations and B2B SaaS experience with Web app, Inventory, Payments.
- Founder-led product
- Multi-industry rental workflows
Questions, answered
Service questions, answered
How to choose a service, combine capabilities, work with an existing team, and decide when AI belongs.
How do I choose the right service?
Start with the business problem: automate an operation, build a product, scale existing software, or rescue a prototype. Automiq maps that goal to an initial production milestone and recommends the engineering capabilities needed to deliver it.
Can one engagement include product design, software, and AI?
Yes. Engagements can combine discovery, UX and UI, web or mobile engineering, platform development, AI integration, automation, cloud infrastructure, and ongoing support. The scope should follow the product outcome rather than organizational service boundaries.
Does Automiq work with an existing engineering team?
Yes. Automiq can own a bounded build, extend a live product, or work alongside internal product and engineering teams. Responsibilities, repositories, review practices, and handover expectations are agreed before delivery starts.
Is every project required to use AI?
No. AI is used only when it improves a defined user or operational outcome. Deterministic software is often better for rules, transactions, permissions, and critical workflows; many strong products combine both.
Talk to the engineering team
Tell us what needs to work better.
We will listen first, identify the riskiest assumptions, and propose a useful first production milestone.