Services
11 ways we work with you
Every engagement starts the same way — a discovery call and a written scope — whichever of these your project needs. Idea to production, and everything that keeps it running after.
Custom software & web platforms
We design and build the software your business runs on — customer-facing products, internal tools, and full SaaS platforms — with an architecture that holds up as you grow, not one you'll have to rebuild in a year.
- Product strategy and technical scoping before a line of code is written
- Web applications built on modern, maintainable stacks
- Internal tools and dashboards that replace spreadsheets and manual work
- API design and third-party integrations
Example brief
A subscription-box startup needed a customer portal to manage plans, pause deliveries, and view invoices without emailing support. We scoped, designed, and shipped it as a standalone web app connected to their existing payments provider.
AI systems & workflow automation
We build AI that does something, not just answers questions — customer-support agents, internal copilots, and automations that connect your tools together and complete tasks without a human doing them by hand.
- Custom AI agents for support, sales, and internal operations
- LLM integrations with your product or internal systems
- Workflow automation across the tools you already use
- Retrieval and knowledge-base setups so answers stay accurate
Example brief
A B2B services company was answering the same 20 questions over email every day. We built a support agent trained on their documentation that resolves routine questions and routes anything unclear straight to their team.
Mobile applications
We build mobile apps that hold up past launch day — clean architecture, a design your users understand instantly, and a release process your team can maintain without us in the room.
- Cross-platform apps for iOS and Android from a single codebase
- Interface design centred on the two or three things users do most
- Push notifications, offline support, and in-app payments where needed
- App Store and Play Store submission handled end to end
Example brief
A neighbourhood laundry service needed customers to book pickups and track order status from their phone. We built and shipped the app in eight weeks, integrated with their existing order system.
Enterprise systems & data platforms
When spreadsheets, disconnected tools, and ageing systems start slowing a business down, we untangle it — connecting what you already have, migrating what needs to move, and building the data platform underneath it.
- Legacy system audits and modernization roadmaps
- Integrations between CRMs, ERPs, and internal tools
- Data pipelines and reporting platforms
- Migration planning with minimal downtime
Example brief
A distribution business ran inventory in one system and orders in another, reconciled by hand each night. We built a sync layer between both and a dashboard that shows stock and orders in one place.
System & platform integrations
Most businesses aren't short on software — they're short on software that talks to each other. We connect your CRM, ERP, POS, payment gateway, WhatsApp and telephony, and accounting tools into one working system, so a lead, order, or invoice only has to be entered once.
- CRM, ERP, and POS integrations across the platforms you already run
- Payment gateway and accounting system connections
- WhatsApp Business API and telephony/IVR integrations
- Custom middleware where no off-the-shelf connector exists
Example brief
A logistics company had leads landing in a form, quotes built in a spreadsheet, and invoices raised in separate accounting software — reconciled manually every week. We built a middleware layer that pushes each lead through to CRM, quote, and invoice automatically, with an alert on anything that fails.
Cloud infrastructure & DevOps
We design and manage the infrastructure underneath your product — cloud architecture, CI/CD pipelines, containerization, and monitoring — so scaling and shipping don't depend on one engineer knowing where everything lives.
- Cloud architecture on AWS, GCP, or Azure, sized to actual load
- CI/CD pipelines for automatic testing and deployment
- Containerization and orchestration with Docker and Kubernetes
- Monitoring, logging, and alerting wired in from day one
Example brief
A SaaS product was deployed manually by one engineer, with no staging environment and no rollback plan. We built a CI/CD pipeline with automated tests, a staging environment, and one-click rollback — deployment time went from an afternoon to under ten minutes.
Product development: idea to scale
For founders who have the idea but not yet the team, we act as the technical side of the business — scoping the MVP, building it, watching how early users actually use it, and hardening it into something production-ready before you need to hire a full engineering team.
- Idea validation and technical feasibility review
- MVP scoped to what you need to test or raise on, not everything you imagine
- Beta iteration based on real user feedback and usage data
- Production hardening — security, performance, and scale — once the idea is proven
Example brief
A founder had a validated idea and a deck, but no technical co-founder. We scoped a lean MVP, built it in six weeks, and stayed on through two rounds of user feedback before the product was ready for a seed-round demo.
Cybersecurity & compliance
Security gets bolted on after a breach far too often. We build it in from the start — authentication and role-based access control, encryption, and compliance groundwork — and address the risks specific to AI systems, like prompt injection and over-permissioned agents.
- Authentication, authorization, and role-based access control (RBAC)
- Data encryption at rest and in transit
- Compliance groundwork for GDPR, SOC 2, and industry-specific requirements
- AI-specific security: prompt-injection defenses and agent permission boundaries
Example brief
A fintech startup needed SOC 2 groundwork before an enterprise client would sign. We ran a security audit, implemented RBAC and audit logging across the platform, and documented the controls their auditor needed to see.
Technical consulting & fractional tech team
Sometimes what you need first isn't code — it's someone who's built this before telling you what will actually work. We provide architecture reviews, build-vs-buy analysis, and technology strategy, and for founders who want it ongoing, a fractional tech team on a monthly retainer.
- Architecture and codebase reviews with a written report
- Build-vs-buy analysis before you commit budget
- AI and technology strategy for non-technical founders and leadership teams
- Fractional CTO-style involvement — technical hiring, vendor calls, roadmap input
Example brief
A non-technical founder was about to sign a large contract with an agency. We reviewed the proposal, flagged the parts that were overbuilt, and helped negotiate a scope that cut the cost by a third without losing anything the product needed.
Managed technology services
Most vendors disappear after launch. We don't — managed services means ongoing maintenance, monitoring, performance optimization, and new features on a predictable monthly retainer, so the system we built, or one you already had, keeps working as your business changes.
- Ongoing bug fixes, updates, and dependency maintenance
- Performance monitoring and optimization
- New feature development within a predictable monthly retainer
- Priority response for anything that breaks in production
Example brief
A client's e-commerce platform was stable but untouched for a year, running on outdated dependencies with no one watching uptime. We moved them onto a managed retainer, patched the security gaps, and now ship two to three small improvements every month.
Enterprise AI transformation
For larger organizations, adopting AI well is an operating question as much as a technical one. We run a structured program — audit, identify, prioritize, build, deploy, scale — so AI rolls out where it actually moves the numbers, with the governance to match, instead of stalling as a one-off pilot no one owns.
- AI readiness audit across teams, data, and existing systems
- Use-case identification and prioritization by expected impact
- Pilot builds for the highest-priority use cases first
- Governance, monitoring, and change-management support for rollout
Example brief
A mid-size enterprise had three AI pilots running in different departments with no shared standards or ownership. We audited all three, consolidated them under one architecture and governance model, and helped scale the one with the clearest ROI company-wide.