Products Built for Real Users and Real Workflows
From SaaS and marketplaces to AI workflows, mobile apps, streaming, payments, and integrations, these are examples of products and systems we've helped move from requirements and early builds into working software.
SaaS · Platforms · Mobile · AI · Automation · Integrations
Different Products. The Same Ownership Mindset.
Every engagement starts from a different point — a new MVP, an existing codebase, a workflow that needs automation, or a product preparing for production. The engineering approach changes with the product, but the goal remains the same: make the next important stage work reliably.
PRODUCT ENGINEERING
SaaS, marketplaces, web and mobile products
AI & WORKFLOWS
AI-assisted features, structured workflows, RAG and automation
INTEGRATIONS
Payments, messaging, commerce platforms and external APIs
PRODUCTION DELIVERY
Permissions, data, reliability, deployment, QA and handover
A Production-Ready Automotive Service Marketplace Across Web and Mobile
A multi-role automotive services marketplace built for the Kuwait/GCC market, running on the web and published across mobile app stores.
A shared product experience across web and mobile with multiple user roles, real marketplace workflows, application data, authentication, permissions, and operational dashboards.
Live on web and published across mobile app stores.
AI-Assisted Quoting and Customer Workflows for Trade Businesses
A SaaS MVP combining AI-assisted quote creation with customer approvals, PDF output, subscription payments, email, SMS, and operational workflows.
Materials database, markup and labour configuration, quote templates, immutable quote versions, single approval workflow, subscription / grace-period behavior.
MVP successfully delivered and accepted following client-side internal testing.
From Internal Validation Workbench to a Published AI Analysis Product
An AI-assisted article analysis product that began as an internal workbench for validating the analysis engine, prompt architecture, and structured outputs before being productized into a Chrome extension backed by a dedicated analysis service.
Built an internal environment to experiment with and evaluate the core analysis workflow before committing to the final product interface.
Validated prompt behavior, analysis structure, LLM responses, and how results should be returned in a useful structured format.
Separated the user-facing product experience from the backend analysis and prompt orchestration layer.
Productized the validated workflow into a browser extension so users can run article analysis directly from their browsing experience.
The Chrome extension MVP is complete and published.
Chrome extension MVP completed and published.
Different Product Problems. Practical Engineering.
Taking Live Stand-Up Comedy Beyond the Venue
A ticketed live-streaming platform that lets audiences watch stand-up comedy shows remotely through Mux-powered video delivery.
Ticketed digital access, live-streaming workflow, remote audience experience, video delivery through Mux, product workflows around live events.
AI-Powered Candidate Pre-Screening for Modern Hiring Teams
An AI-native HR SaaS product designed to streamline early-stage candidate screening and evaluation, successfully delivered through internal beta.
AI-assisted candidate screening, structured evaluation workflow, SaaS product experience, internal beta delivery.
Middleware Connecting Vending Operations With Shopify Inventory
A middleware system connecting Nayax-linked machine operations with Shopify inventory workflows, designed to support expansion across a larger machine network.
Nayax integration, Shopify Admin API, inventory synchronization, middleware architecture, stock logic, scalable operational workflows.
Payment-Triggered Customer Communication Workflows
A backend workflow combining Stripe events, Twilio SMS and voice capabilities, serverless infrastructure, and PostgreSQL to support automated onboarding and customer communication flows.
Stripe webhooks, Twilio SMS, Twilio voice, onboarding workflows, AWS serverless backend, PostgreSQL.
More Than Screens and Features
Across different products, the hard engineering work often sits underneath the interface — data models, permissions, business rules, integrations, AI behavior, reliability, and the workflows that connect everything together.
PRODUCT EXPERIENCE
Web, mobile, dashboards, workflows
APPLICATION LOGIC
Business rules, APIs, backend systems
DATA & PERMISSIONS
PostgreSQL, authentication, roles, access boundaries
AI & AUTOMATION
LLM workflows, RAG, structured outputs, background processes
INTEGRATIONS
Payments, messaging, video, commerce, third-party APIs
PRODUCTION
Deployment, testing, logging, error visibility, handover
Not Every Engagement Starts From Scratch
Some engagements begin with a roadmap. Others begin inside a live product or alongside an existing engineering team. We can own a full build, take responsibility for a specific workstream, or add specialist engineering capacity where it is needed.
PRESERVE WHAT WORKS. · FIX WHAT MATTERS. · REBUILD ONLY WHEN NECESSARY.
Built to Be Understood After Delivery
PRODUCT CONTEXT FIRST
Architecture should reflect the workflow, users, and business stage.
SENIOR ENGINEERING REVIEW
Critical architecture, data, permissions, integrations, and AI decisions receive experienced human review.
VISIBLE DELIVERY
Clear milestones, working demos, QA, and acceptance criteria keep progress understandable.
CLIENT OWNERSHIP
Code, repositories, product IP, and documentation remain with the client.
What Does Your Product Need Next?What Does Your Product Need Next?
Whether you're building something new, extending a live product, adding a major capability, or strengthening engineering capacity, share where the product is today and what needs to move forwardWhether you're building something new, extending a live product, adding a major capability, or strengthening engineering capacity, share where the product is today and what needs to move forward