Our Services

    AI Development

    We build AI that works in production — automation, agents, and AI-native applications delivered by engineers who have already shipped it.

    AI neural network visualization with question marks and robotic hand

    Expert

    Team

    Proven

    Results

    On-Time

    Delivery


    Why Mejix

    Why you need an AI development partner?

    The gap between AI potential and AI in production is where most organisations get stuck. The strategy is clear. The use cases are obvious. But building AI that actually works — that integrates cleanly with existing systems, handles real-world edge cases, performs reliably under load, and delivers measurable business outcomes — requires engineering expertise that most teams don't have in-house yet. Mejix has already built and shipped AI products. We bring that experience directly to your project.

    You need this service if:

    You have AI use cases but no way to build them

    Your team has identified where AI could save time, improve decisions, or create new product capabilities — but you don't have the machine learning engineers, LLM expertise, or AI product experience to execute. The use case sits on a roadmap, not in production.

    Your team is doing manual work that AI could automate

    Document processing, data extraction, classification, customer query handling, content generation, quality checking — tasks that consume significant engineering or operational time and follow predictable patterns that AI handles well.

    You want to embed AI into your product

    Your product needs AI capabilities — recommendations, search, predictions, conversational interfaces, vision — but your current engineering team is focused on the core product and can't take on a parallel AI build without slowing everything down.

    You've tried AI tools but haven't seen real business impact

    You've experimented with ChatGPT wrappers, off-the-shelf AI tools, and prompt engineering. Some of it was interesting. None of it moved the needle. You need AI that is built for your specific use case, integrated into your workflow, and measured against business outcomes — not a demo.

    How do we solve

    AI consulting and development that ships

    We work across the full AI development stack — from strategic consulting and use case definition through to production-ready AI systems, agents, and applications.

    AI Strategy & Consulting

    We work with your leadership team to identify the highest-value AI use cases for your business, define what's technically feasible, and build a prioritised AI roadmap — so investment goes where it creates the most impact, not where it's easiest to demo.

    AI Process Automation

    We automate complex, high-volume business processes using AI — document understanding, data extraction, classification, approval workflows, and multi-step operational pipelines that currently depend on manual human effort at every stage.

    AI Agents

    We build autonomous AI agents that can plan, reason, use tools, and complete multi-step tasks without human intervention at every step. Customer service agents, research agents, operations agents, and internal productivity agents — purpose-built for your specific context and workflows.

    LLM Integration & Custom AI Applications

    We integrate large language models — OpenAI, Anthropic, open-source — into your existing products and workflows. Custom AI applications built around your data, your processes, and your users. Not a generic chatbot — a purpose-built AI layer that solves a specific problem.

    Computer Vision & Multimodal AI

    We build vision-based AI systems for image and video analysis, quality inspection, object detection, and visual search. Yehuda's automated diamond detection system is a live example — computer vision running in production, solving a real business problem at scale.

    AI-Powered Analytics & Predictions

    We build predictive models and AI analytics layers that surface actionable insights from your data — demand forecasting, churn prediction, anomaly detection, personalisation engines. AI that doesn't just describe what happened, but anticipates what happens next.

    Start your project with us

    Obsessed with delivery. Every project, every time.

    Key benefits

    What real AI in production delivers

    Measurable time and cost savings

    AI automation eliminates the manual, repetitive work that consumes your team's time. Document processing that took hours takes seconds. Workflows that required human review at every step run end-to-end automatically. The time savings are real and measurable from day one.

    Capabilities your product didn't have before

    AI adds product capabilities that aren't possible without it — visual search, conversational interfaces, real-time recommendations, predictive features. These aren't incremental improvements — they're new dimensions of value your users didn't have access to before.

    AI that integrates with what you already have

    We don't build AI in isolation. Every system we build is integrated into your existing product, data infrastructure, and workflows — so AI augments what's already working instead of creating a parallel system your team has to manage separately.

    Built and maintained by engineers who understand it

    We've shipped AI in production — LoveLock, NES, Yehuda's diamond detection. We know where AI systems fail in the real world, how to build for reliability, and how to monitor and improve AI performance after launch. Not just prototypes. Shipped products.

    The process

    How we build your AI system

    A structured process that moves from use case definition to a production AI system — with evaluation and iteration built in at every stage.

    1. Discovery & Use Case Definition

    We work with your team to define the specific AI use case — what the system needs to do, what data is available, what success looks like, and what integration points are required. We establish clear acceptance criteria before any model work begins.

    2. Data Assessment

    We audit your available data — volume, quality, format, and accessibility. For AI systems that require training data or fine-tuning, we define the data requirements and preparation pipeline. We won't start a build on data that can't support it.

    3. Architecture & Model Selection

    We design the AI system architecture — selecting the right models, APIs, and infrastructure for the use case. We evaluate open-source vs. proprietary models, define the inference pipeline, and specify the integration layer before writing production code.

    4. Development & Integration

    We build the AI system in production-grade code — prompt engineering, RAG pipelines, agent frameworks, API integrations, fine-tuning where required — and integrate it into your product or workflow with proper error handling, fallbacks, and logging throughout.

    5. Evaluation & Testing

    We evaluate AI performance rigorously — accuracy, latency, edge case handling, and failure modes. AI systems require a different testing approach to traditional software. We build evaluation pipelines that measure what matters and iterate until the system meets the defined acceptance criteria.

    6. Deployment & Monitoring

    We deploy to production with monitoring built in — tracking model performance, input/output quality, latency, and cost over time. AI systems drift. We build the observability infrastructure that lets you see it happening and act before it becomes a problem.

    Certifications & Recognitions

    OpenAI
    make-AI
    n8n
    React Native
    Android
    iOS
    NestJS
    OpenAI
    make-AI
    n8n
    React Native
    Android
    iOS
    NestJS

    Our work

    AI we've built and shipped

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    Yehuda

    Yehuda

    We built a custom computer vision AI system for Yehuda that automates diamond detection and grading — reducing manual assessment time dramatically and enabling the platform to process significantly higher volumes with consistent accuracy.

    NES

    NES

    We built NES from the ground up as an AI-native platform — designed, engineered, and shipped by the Mejix team. An AI application in production, not a prototype.

    LoveLock

    LoveLock

    LoveLock is an AI-powered application built and launched by Mejix — our first fully in-house AI product. Designed, trained, and shipped by the same team that builds AI for clients.

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    Reviews & Certifications

    Our clients praise us for
    our great results

    Read all reviews
    Client logo

    Mejix has successfully created and launched a functional mobile app, which allows the client to reach and diagnose over 5,000 patients. Despite geographically dispersed clients, the team is accommodating and communicative. They've worked hard to deliver the project on time and within the budget.

    Candice Wu

    Head of Design, Yehuda

    Why Mejix

    Frequently asked questions

    Everything you need to know about our AI Consulting & Development service.

    We build three categories of AI systems. First, AI automation — replacing manual, repetitive business processes with AI-powered pipelines that run without human intervention at every step. Second, AI agents — autonomous systems that can plan, reason, use tools, and complete multi-step tasks independently. Third, AI applications — products with embedded AI capabilities: LLM integrations, computer vision, recommendation engines, predictive models, and conversational interfaces. All of it built in production-grade code, integrated with your existing systems, and measured against real business outcomes.

    How can we help?

    Whether you're automating a business process, building an AI agent, or embedding AI into your product — we've already built it. Let's talk about what's possible for yours.