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Portals and marketplaces
Multi-sided platforms with vendor onboarding, listings, search, messaging, payments and moderation. We run several of our own.
Services · Enterprise-grade web platforms · AI-powered development
Platforms built to run for years — with AI where it does real work.
Portals, marketplaces, booking engines, internal tools and the systems a business actually runs on. We build them with the boring virtues — clear architecture, tests, monitoring, documentation — and use AI where it removes genuine labour: search, classification, extraction, drafting, support. Not where it makes a demo look clever.
What we build
Systems with users, uptime and consequences
Enterprise-grade does not mean expensive. It means the platform is designed for the second year, not the launch: roles and permissions that scale, data models that survive the next feature, deployments that roll back, logs someone can read at 3am. We have operated our own platforms long enough to build for that from the start.
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Internal tools and operations
The systems staff use all day: scheduling, approvals, inventory, reporting, field apps. Built to reduce clicks, with imports that tolerate messy reality.
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AI-powered features
Semantic search over the client’s own content, document extraction, classification and tagging, drafting and summarisation, support assistants grounded in real data. Built on Claude, OpenAI or open models, with evaluation so quality is measured, not assumed.
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AI in the build itself
Our developers use AI tooling for speed on the well-trodden parts — and review every line, because the client is paying for judgement. It shortens timelines without shortening the standard.
Since ’99
Why it holds up
We have run US datacenters and answered the support line since 1999
Incybertech operated its own server farm in the United States for over a decade and has served 10,000+ websites since 1999. That is the background a platform build needs: people who have watched systems fail in production and learned which decisions, made early, prevent it. AI is a new tool in that kit — we use it seriously and sceptically.
- Under your brand — staging on your domain, your repositories, your credentials, no credits anywhere.
- Written scope and date — assumptions, exclusions and a delivery date before anyone writes code.
- Full handover — source, documentation and a walkthrough, then a support window.
- US-hours overlap — daily standup in your timezone and a written handover overnight.
Questions agencies ask
Answered plainly
- What does “AI-powered” actually mean here? — Features where a language model does useful work on the client’s data — search that understands meaning, documents read into structured fields, drafts and summaries, assistants that answer from the real knowledge base. We define the success measure first and evaluate against it.
- Which AI providers do you use? — Anthropic’s Claude, OpenAI, and open-weight models where data must stay on the client’s servers. The choice is made per feature on quality, cost and data-residency, and we abstract it so it can change.
- How do you handle scale and security? — Staged environments, automated tests, role-based access, encrypted data at rest and in transit, audit logs, dependency scanning, and monitoring with someone on call. We document the security model so your client’s IT team can review it.
Related services
Send the brief. Get a scope and a date.
A written scope, a fixed date and a named lead developer — usually within two working days.