01 — Discovery
Find the real use case.
We separate the AI features that create value from the ones that just demo well.
Nexlla·Studio·Dubai·Loading
06 / Applied AI
Multi-provider, multi-language, action-aware — every action confirmed before it runs. Nello, our in-house AI co-pilot, is built on this exact stack, so we know what ships and what doesn’t.
01 — Discovery
We separate the AI features that create value from the ones that just demo well.
02 — LLM apps
Chat, copilots and assistants that propose actions and wait for a human yes.
03 — Automation
Content, classification and workflow automation wired into your real systems.
04 — Search & RAG
Retrieval over your own content, cited and current — not hallucinated.
05 — Multi-provider
Gemini, Claude or local Ollama — bring your own key, swap models freely.
06 — Productionise
Role-aware, site-scoped, audit-logged — built to pass a security review.
Tailored to your stage
Startup, scaling, enterprise or non-profit — the scope, pace and engagement flex to where you are. Pick your stage.
Startups adding a first AI capability.
Teams operationalising AI across features.
Enterprises needing private, auditable AI.
Non-profits doing more with limited capacity.
By the numbers
providers supported — Gemini, Claude, local Ollama
languages drafted natively, including Arabic
actions confirmed by a human before they run
built-in tools across search, drafting and actions
The stack
The same multi-provider, action-aware stack that powers our own dashboard co-pilot.
How we work
We audit where AI actually creates value and where it just adds risk.
A working prototype on your data, with humans in the loop from day one.
Audit logging, roles and scoping so it passes a security review, not just a demo.
Nello cut our content cycle from two weeks to two days.
Head of Marketing · retailer
Production AI that our security team actually approved.
CISO · enterprise
Grounded, auditable, and fast. Not a toy.
VP Engineering · SaaS
It just works — in production, every day.
CTO · platform
A sample of applied-AI work — models in production, doing real work, not demos.
Tell us where AI could help. You’ll leave with an honest read on what’s feasible — and what isn’t yet.
Explore
Strategy, marks, type, voice — built to outlast trends, scale across markets, and travel across languages.
ExploreEditorial, packaging, campaigns. Print-ready craft from a team that still cares about kerning at 4pt.
ExploreInterfaces grounded in real engineering — designed in Figma, validated in code, instrumented from day one.
ExploreSites and dashboards built to ship — accessible, fast, observable, and survivable through five years of feature drift.
ExploreiOS, Android, cross-platform. Native where it matters, shared where it makes sense — shipped from one team.
ExploreEnd of issue · 2026.05
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