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AI and data services, from readiness check to production feature

Netbase provides AI and data services for companies that want to move from an AI idea to a feature that works inside a real product or process: readiness assessment, data preparation, model and automation development, and production support. Delivered AI includes 4over4's recommendation engine, plus RAG, document AI and MLOps projects for unnamed clients; the wider family is a growth capability.

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Reviewed by David (CEO) · Updated 17 Sep 2026

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What the AI & Data family covers

AI & Data turns data a business already holds into decisions, predictions or automated steps. The work spans five capability areas: machine learning, natural language processing (NLP), computer vision, generative AI, and AI combined with IoT devices. Around them sits the part that decides whether AI pays off: clean, reachable data, models connected to the systems people use, and accuracy after launch.

This family is for companies that have a concrete process in mind, such as reading incoming files, recommending products or routing work, and want it built into software rather than tried in a slide deck. If a rule-based workflow solves the problem more cheaply, we say so; our commerce operations automation solution shows where rules beat models.

Looking for AI development in general? Pick the job below, or compare every route in the services directory.

Services in this family

Each service has its own page and can be scoped in a solution review.

Evidence: what is delivered and what is growing

Capability statements here are a growth capability unless tied to a Work item below.

Delivered AI: 4over4 (online printing, United States). Netbase built a recommendation engine based on browsing and purchase history, alongside checkout, search and automated file conversion work. As reported by 4over4, design-file production time fell 40%, average order value rose 35% and revenue grew 82% within six months. These results reflect all the changes together, not the recommendation engine alone. Read the 4over4 case.

Delivered AI for anonymised clients. Netbase has also delivered a RAG knowledge assistant, a document AI platform and an MLOps pipeline for clients that are not named.

Data and automation foundation: Printcart (Netbase Business Division). Printcart is the web-to-print and print-on-demand platform Netbase builds and runs. It is automation and structured product data rather than AI, and it is exactly the kind of clean, event-rich data an AI feature needs to learn from. See the Printcart record.

Both sit in printing and packaging, where artwork, templates and order files give AI a concrete job. More projects are in our work.

4over4: conversion and design-workflow optimization
4over4: conversion and design-workflow optimization

Netbase JSC reworked checkout, search and navigation, automated Adobe Illustrator (.ai) to SVG file conversion and added recommendations.

Keep Reading
Printcart: the web-to-print SaaS Netbase builds and runs
Printcart: the web-to-print SaaS Netbase builds and runs

Netbase designed, engineered and operates the multi-tenant platform: an online design studio, automatic print-ready files, print order management, and store apps plus an API that plug into any storefront.

Keep Reading

Reusable starting points

Netbase's productized module library already includes a workflow automation toolkit and an AI chatbot and WorkChat integrator, next to a CRM and B2B sales engine, Smart ERP Light, a real estate digital toolkit and an e-commerce accelerator. Where one of these fits the use case, the project starts from it instead of from zero.

The tools we pair with each AI job, from data stores to model hosting, and the trade-offs between them are on our data and AI stack page. We work with models from OpenAI, Anthropic (Claude), Google (Gemini) and Meta (Llama), among others, chosen per project.

How we engage

AI projects fail most often before any model is trained: missing data, a vague goal or no owner. Our engagement follows the Netbase lifecycle; company-wide change runs as an AI transformation programme.

  1. Readiness and use case

    We agree the process, the decision the AI should support, the data available and the metric that defines success, with a baseline measured before any build.

  2. Data and design

    We prepare and map the data, choose between rules, a model or a mix, and design where people review or approve the output.

  3. Build and prove

    A working feature ships in outcome-based milestones and is tested against the baseline on real cases, not demos.

  4. Rollout and care

    Training, staged rollout and monitoring, then ongoing support as the data changes.

The cadence is lean and Agile, remote-first from Hanoi in English, with models reached through APIs so no vendor is locked in.

AI in this family

Delivered AI, and the areas this family is still growing:

Next step

Have a process where AI might earn its keep, or data you are not sure is ready? Book a solution review and we will tell you honestly whether AI, automation or neither is the right tool. Prefer to see delivered work first? View relevant work. This family is owned by David, Netbase's Chairman, founder and CEO.

AI-assisted ecommerce operations automation: from paid order to delivered parcel AI-assisted ecommerce operations automation: from paid order to delivered parcel

Ecommerce operations automation removes the manual order, production and fulfilment steps behind a storefront: routing, file preparation, status updates and back-office sync, with AI flagging risky orders and triaging exceptions. It is for merchants and online printers whose order volume has outgrown their staff. In delivered work, 4over4 cut design-file production time 40% and Geo-Tek cut average order processing time 30%.

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