Everything founders ask us, in one place

It designs and engineers applications that use AI as part of a business workflow. The work includes interfaces, data access, integrations, evaluation, deployment, and operational support—not only prompts.

Our proposed project scope can include AI agents, copilots, RAG knowledge assistants, document-processing tools, workflow automation, and AI-enabled SaaS applications.

Yes. We assess your application, APIs, data access, and permissions, then identify an integration that fits the existing product rather than requiring a full replacement.

Yes. Agent workflows can use tools and approved data sources, while RAG systems retrieve relevant knowledge for model responses. We define boundaries and evaluate the behaviour against your use case.

Existing models are often the right starting point. Fine-tuning or custom training requires a separate assessment of data quality, rights, cost, and the benefit over retrieval or prompting; it is not assumed in every build.

Cost depends on scope, integrations, data readiness, evaluation requirements, and operational needs. We scope the work before providing a quote; model usage and third-party infrastructure are considered separately.

The timeline depends on the workflow and the state of your data and systems. Discovery and a focused prototype establish the delivery plan; there is no reliable fixed timeline for every project.

You work directly with the people designing and building your software, the same small team from the first call to support.

You get a demo every week and plain-language updates on a shared board, so you always know where things stand.

AI speeds up planning, drafts and repetitive work. A senior person reviews and signs off on everything that ships.

Yes. We take on stalled builds, half-finished AI exports and inherited codebases.

We work async across time zones, talk on WhatsApp first and invoice in USD or AED through Wise or Payoneer.

Ownership and handover are defined in the agreement. Our delivery approach gives you the project code and documentation; third-party tools and model providers retain their own licensing and service terms.

We can agree an ongoing engineering scope for fixes, monitoring, model or integration changes, and product improvements. The responsibilities and response arrangements are defined before launch.

Published bands, not guesswork: Build From Scratch $6k–18k, Launch Rescue $2.5k–8k, Fix & Maintain $1.5k–6k, AI Features & Automation $3k–8k per flow — plus retainers from $300–2,000/mo for ongoing support. The exact number gets fixed for your specific scope during the paid scoping session ($500–900, credited to the build).

We go through your goals and requirements — and for a rescue, a full audit of the existing code. You leave with a written scope and a timeline, before anything gets built.

Yes. Most clients start with a single AI feature, a Fix & Maintain engagement, or just the scoping session itself, then expand once it's proven. Nothing requires the full build upfront.

Yes — CRMs, payment providers, calendars, and whatever your product already runs on get connected as part of the build, not bolted on afterward.

It's built on stacks that scale (Next.js, Node, Python, React Native) so adding users or features later doesn't mean a rebuild — but every build is scoped for where you are now, not hypothetical scale you don't need yet.

A chatbot answers questions inside a conversation. An agent goes further — it looks things up, takes an action (books a slot, sends a confirmation, flags something for you), and can carry out a multi-step task without you doing it by hand. Which one you need depends on the job, not the label.

No — we integrate proven models (OpenAI, Anthropic's Claude, and similar) against your own data and systems, rather than training something from scratch. It ships faster, costs less to run, and is easier to improve than a custom model most projects don't actually need.

Answers are grounded in your own verified information instead of letting the model improvise, with a human handoff built in for anything it isn't confident about. It's designed to say "let me check" instead of guessing.

Yes — that's usually the point. Bookings, confirmations, alerts, and Q&A tools are built to read and write your actual systems, not sit next to them as a separate app to check.

A single well-scoped flow — a booking assistant, a support tool trained on your docs, an automated follow-up — usually ships in one to three weeks once it's scoped.

Yes — same approach as Launch Rescue. We audit what's there, find where it's breaking or giving bad answers, and fix or rebuild the parts that need it rather than starting over.

It's built to flag uncertainty and hand off to a person rather than push forward blindly. Every AI feature we ship has a fallback path, not just a happy path.

Cross-platform with React Native — one codebase for iOS and Android, including store submission. It's the right fit for nearly every founder-stage app; fully native is a case-by-case conversation.

Yes — from marketing and product sites to full storefronts, as part of Web Design & Development.

Yes — Fix & Maintain if it's stable but needs work, Launch Rescue if it stalled and needs finishing.

On your own infrastructure — your hosting, your domain, your accounts. You're never dependent on us to keep it running.

The repo, documentation, design files, and a walkthrough — everything needed to run and extend the product without us.

Yes, whenever a client needs one — happy to sign yours or ours before any detail of the project gets discussed.

Yes — a retainer covering monitoring, fixes, and small features, from $300–2,000/mo depending on the product. Support & Growth is the eighth phase of every build, not an afterthought.

Because the scope is agreed up front and you get a demo every week, issues get caught and addressed sprint by sprint, not discovered as a surprise at delivery.