Not another chatbot. We design and build production-grade AI agents that take real actions — qualifying leads, answering customers, running operations and handling documents — wired into the tools your team already uses in Nouméa.
Kanaky Tech is a Pacific AI studio founded in 2024 in New Caledonia, building production-grade custom AI agents — chat, operations, lead-qualification, document and voice agents — for SMEs and institutions across the region. We integrate each agent with the tools a business already runs and work private-by-default, so your data stays in controlled environments and is never used to train public AI models. Engagements are available under NDA, and every build starts from Nouméa with a free AI audit.
Kanaky Tech est un studio calédonien fondé en 2024 à Nouméa, spécialisé dans le développement d'agents IA sur mesure pour les PME et institutions du Pacifique. Nous construisons des agents capables d'agir réellement — qualifier des prospects, répondre aux clients, traiter des documents, automatiser des opérations — connectés à vos outils existants. Confidentialité par défaut, missions sous NDA, et chaque projet démarre par un audit IA gratuit.
Engages inbound enquiries, asks the right questions, scores and routes the qualified ones to your team while filtering out the noise.
Handles routine customer messages across your channels, drafts accurate replies, and escalates to a human only when judgement is needed.
Runs multi-step internal workflows — moving data between systems, triggering tasks and keeping records in sync without manual handoffs.
Reads, extracts and processes documents — forms, invoices, contracts — turning hours of admin into a reviewed, structured output.
Answers staff questions from your own documents, procedures and data — so institutional knowledge is searchable instead of locked in people's heads.
Takes spoken input and turns it into structured results — for example a field worker dictating job details and getting a calculated quote back.
A chatbot answers. It follows a script or pulls from a knowledge base and replies in the chat window — and that is where it stops. An AI agent acts. It can use tools, call your APIs, read and write records in your systems, make decisions and carry a multi-step task through to completion before handing back to a human.
That difference matters in practice. A chatbot can tell a customer how to request a quote; an agent can read the request, calculate the quote, draft it, log it in your CRM and notify the right person. The first deflects work back to your team; the second removes it. Building an agent well means giving it the right tools, the right guardrails and the right point to escalate — which is exactly what we scope in our AI opportunity audit before writing any code.
For businesses that want the underlying process improvements first, our AI automation work in New Caledonia and private AI systems pair naturally with agent development.
We map your tasks, tools and data to find where an agent creates real leverage — and where it does not. Honest scope first.
We define the agent's job, the tools it needs, its guardrails and its escalation points — so it acts safely within clear limits.
We build and test the agent against real cases, wiring in your APIs, MCP connectors and automation layers like N8N.
We deploy the agent into your workflow on the channels your team uses, then measure, tune and hand over with documentation.
Agent development only counts when it ships. We built and run mcp-datagouv-nc, the first Model Context Protocol (MCP) server that exposes New Caledonia's open-data portal directly to AI agents — meaning an agent can query live NC datasets as a tool, not just talk about them. It is a concrete example of the integration layer that makes agents useful rather than decorative.
Our stack reflects how we actually connect agents to the world: MCP for standardised tool access, N8N for orchestration and automation, and channels like Telegram as deployment surfaces so an agent lives where your team already works. We also operate other production systems — a live Kanak Languages Dictionary and the Keou AI visual-production platform — which is why our agents are built to integrate honestly with real tools and real data.
Everything runs private-by-default: your business data stays in controlled environments and is never used to train public or consumer models. Engagements are available under NDA. Explore our case studies or start with an AI audit to see what an agent could take off your team's plate.
Kanaky Tech est un studio d'automatisation et de développement d'agents IA fondé en 2024 en Nouvelle-Calédonie, opérant depuis Nouméa et Auckland. Nous concevons des agents IA sur mesure (chat, opérations, qualification de leads, documents, voix) pour les PME et institutions du Pacifique, intégrés à leurs outils existants. Fondateur : Kevyn Wahuzue, architecte de systèmes IA. Confidentialité par défaut, missions disponibles sous NDA.
A chatbot answers questions from a script or a knowledge base. An AI agent takes actions: it can use tools, call APIs, read and write records in your systems, make decisions and complete multi-step tasks on its own. A chatbot talks; an agent does the work — qualifying a lead, drafting a quote, updating your CRM, then handing off to a human only when it needs to.
Cela dépend du périmètre, et nous commençons toujours par un audit pour le définir honnêtement. Un agent simple connecté à un seul outil peut être livré en quelques semaines ; un agent multi-outils avec intégrations et garde-fous prend plus de temps. Nous découpons le travail en phases pour vous montrer de la valeur tôt plutôt que de promettre un délai irréaliste.
Yes. Our agents integrate with the tools you already use through APIs, the Model Context Protocol (MCP), and automation layers like N8N. We have built and run an MCP server (mcp-datagouv-nc) that connects AI agents to New Caledonia's open-data portal, and we deploy agent interfaces over channels such as Telegram. If a tool exposes an API or a standard connector, we can wire an agent to it.
Yes. We work private-by-default: your business data runs in controlled environments and is never used to train public or consumer AI models. Engagements are available under NDA, and we scope each build so the agent only has access to the systems and data it genuinely needs.
Any business with a repetitive, rules-and-judgement task that eats staff time is a candidate — qualifying inbound leads, answering routine customer messages, generating quotes, processing documents, or surfacing internal knowledge. If your team spends hours each week on work an agent could take actions on, it is worth a free AI audit to see what is feasible.
Tell us the task that eats your team's time. We will scope a custom AI agent for your New Caledonian business — starting with a free AI audit, no obligation.