Macronimous is an India-based AI development company. We build AI into the web and commerce products you already run, develop AI-powered custom extensions and plugins for Magento, WordPress, and PrestaShop, build chatbots and RAG assistants on your own data, ship AI-powered web and mobile apps, and deliver white-label AI for agencies. Serving the US, UK, and Australia since 2002.
Most AI development you can buy right now is a demo, or a page of promises that reads the same on every agency website. We work the other way. We already build and maintain the WordPress, Magento, and React stacks that AI features have to live in, so the feature ships to production and survives the next platform upgrade. If you are weighing an offshore AI partner, here is why an India-based team is a sound choice when the track record is real, not a leap of faith.
What We Build
Five lines, all tied to the web and commerce work we already do. We lead with what we can actually ship, not a menu of everything AI can theoretically do.
1. AI Features Inside Your Existing Web and Commerce Products
If you already have a live store or site and want AI inside it, this is the most common build we staff. The feature is engineered to survive a Magento or WordPress upgrade, not bolted on as a widget that breaks at the next release.
- Semantic and AI-assisted search that understands intent, not just keyword matches
- Product recommendations driven by behavior and catalog relationships
- AI-generated product descriptions at catalog scale for Magento, Shopify, WooCommerce, and PrestaShop, with human review built into the workflow
- AI content tools inside WordPress for drafting, summarizing, and tagging at scale
- Classification, extraction, and personalization wired into your existing data and templates
These sit on top of the commerce engineering we do every day. See our eCommerce development and React and Magento storefront work for the stack underneath.
2. Custom Chatbots and RAG Assistants
A chatbot is only as good as the data behind it. We build retrieval-augmented assistants grounded on your own content, so answers come from your documents, catalog, and tickets, not a generic model guessing.
- Customer support assistants grounded on your product docs, policies, and order data
- Internal knowledge assistants that let your team query scattered documentation in plain language
- Retrieval pipelines with vector search so the assistant cites real sources instead of inventing answers
- Guardrails and human handoff for the questions a model should not answer alone
- Model-agnostic builds across OpenAI, Anthropic, Gemini, and open models, so you are not locked to one vendor
3. AI-Powered Web and Mobile App Development
When the build is a new product rather than a feature on an existing site, we develop the whole application with AI at its core. Same engineering teams that ship our web and mobile work, now building AI-native products.
- AI web applications in React, Next.js, and custom PHP, from MVP to production scale
- AI mobile apps in React Native, with on-device or API-backed model use
- WordPress-based AI products when the content and publishing layer is the foundation
- Model integration and orchestration so the AI logic is a clean, testable layer, not scattered through the codebase
- Proof of concept first on your real data, so the build decision rests on evidence
For the underlying delivery, see our WordPress development and React Native mobile app services.
4. AI-Powered Custom Extensions and Plugins
Often the highest-value AI is not a new app. It is a small extension that removes repetitive work inside a tool your team already uses every day. We start by finding where that work sits: the manual steps, the copy-paste, the report someone rebuilds by hand each week. Then we build the AI-powered extension that handles it, inside the platform you already run.
- Magento and Adobe Commerce modules for AI product copy, catalog tagging, order triage, and support macros
- WordPress plugins for AI content workflows, editorial tagging, internal search, and moderation
- PrestaShop modules for AI merchandising and category and attribute automation
- Custom PHP and React admin tools that wire AI helpers into the dashboards your team already works in
- A productivity audit first, so we build the extension that pays back, not the one that looks impressive in a demo
This is the same extension and module engineering we have shipped for years, now with AI inside it. See our Magento development work for the platform depth underneath.
5. White-Label AI Development for Agencies
Your clients are asking for AI and you do not have the engineers to build it. We do the work under your brand. Same model we have run for offshore web delivery since 2002, applied to a new demand.
- Your brand, your repo, your client relationship. We do not contact your client
- NDA before the first commit and IP transfer written into the contract
- Fits your delivery process across Slack, Jira, Basecamp, and your sprint cadence
- Senior engineers who can defend the architecture on a client call if you need them to
This is how we have always worked. Read more about the team and how we deliver.
When You Do Not Need AI, and We Will Tell You
A rules engine, a well-built search index, or a cached lookup often beats a language model on cost, speed, and reliability. We scope the cheapest thing that actually works, and we are explicit about what client data and source code is ever sent to a third-party model. If your problem is better solved without AI, you will hear that from us on the first call, before you have spent anything. That is the opposite of how most AI shops are paid to think, and it is the reason agencies keep coming back.
How We Price AI Work
Three engagement models. Pick the one that matches your scope and risk appetite.
Fixed-Price Build
Best for: A defined AI feature, extension, or app with a clear scope and deliverable.
Rate: Quoted per scope after a proof of concept.
Commitment: Per project.
Hourly
Best for: Discovery, productivity audits, proofs of concept, and iterative work.
Rate: From USD 25/hr.
Commitment: No minimum.
Dedicated AI Developer
Best for: Ongoing AI work alongside your product roadmap.
Rate: From USD 2,500/month, full-time.
Commitment: Minimum 3 months, 1-month notice thereafter.
Need a full-time engineer rather than a project quote? The same terms apply as when you hire a dedicated developer from us.
What You’re Committing To
Clear terms up front, so nothing is a surprise later.
NDA & IP Transfer Day One
Mutual NDA before the first commit. All source code, prompts, and custom modules are yours, transferred as delivered. No retained IP.
We Document What Leaves Your Servers
Before any build, you get a plain-language map of which data, if any, is sent to which model provider, and where it is processed. No quiet data exfiltration.
Model-Agnostic, No Lock-In
We build so you can switch between OpenAI, Anthropic, Gemini, or an open model without a rewrite. The provider is a setting, not a dependency.
Direct Developer Access
You work directly with the engineer in your Slack, Jira, or Teams. A project manager coordinates, but does not gatekeep daily communication.
No-Questions Replacement
If the fit is wrong on a dedicated engagement, we replace the developer. No reason required, no billing gap on your side.
White-Label by Default
For agencies, we work under your brand and stay out of your client relationship unless you ask us in.
How We Work
- Scope call or productivity audit (Day 0): We pressure-test the idea, or map where AI removes manual work. If AI is the wrong tool, you hear it here, before any spend.
- Proof of concept (Week 1-2): A working prototype on your real data, so the decision to proceed is based on evidence, not a slide deck.
- Build and integrate (Weeks 2+): Engineering into your live stack, in your repo, under your review.
- Evals, guardrails, and cost tuning: We measure accuracy, add safety rails, and tune for the lowest reliable token cost before launch.
- Ship and maintain: Production deployment, monitoring, and ongoing iteration as your data and models change.
Not sure if your problem needs AI?
Send us the problem, not the solution. We will tell you the cheapest thing that works, even when that is not AI. Same-day response during UK/EU hours.
Frequently Asked Questions — AI Development
What does Macronimous do as an AI development company?
We build and integrate AI into web and commerce products. That means AI features inside your existing WordPress, Magento, or React application; AI-powered custom extensions and plugins; custom chatbots and RAG assistants grounded on your own data; AI-powered web and mobile apps built from scratch; and white-label AI development for agencies. We do not train foundation models. We make production-grade AI work inside the stack you run, and we have built software for US, UK, and Australian clients since 2002.
Can you add AI to my existing site, or build a new AI-powered app?
Both. Adding AI to a live Magento, WordPress, or React application is our most common build, because we already engineer that layer and can integrate into your real codebase and data. When the project is a new product instead, we develop the whole application with AI at its core: AI web apps in React, Next.js, and custom PHP, and AI mobile apps in React Native. Either way we work in your repository, under your review, and start with a proof of concept on your data.
Can you build an AI-powered extension or plugin for Magento, WordPress, or PrestaShop?
Yes, this is core work for us. We build AI-powered modules for Magento and Adobe Commerce, plugins for WordPress, and modules for PrestaShop, plus custom PHP and React admin tools. We usually start with a short productivity audit to find where AI removes repetitive manual work in the platform you already run, then build the extension that addresses it. You get the same upgrade-safe, IP-transferred code as any other engagement.
How do you build a chatbot on our own data?
We use retrieval-augmented generation. Your documents, catalog, and tickets are indexed into a vector store, and the assistant retrieves the relevant source before it answers, so responses come from your content and can cite where they came from. We add guardrails and a human handoff path, and the build is model-agnostic so you are not locked to one provider.
Will our data or source code be sent to third-party AI models?
Only what is strictly required, and you approve it first. Before any build, you receive a plain-language map of which data leaves your servers, which provider receives it, and where it is processed. For sensitive workloads we can use zero-retention providers or run open models in your own environment. You decide the boundary, and it is written into the engagement.
Who owns the AI code and prompts you write?
You do, 100%. A mutual NDA is signed before the first commit, and the contract includes a written IP transfer clause covering source code, custom modules, and the prompts and retrieval logic we build. There is no retained IP and no licensing held back. The work lives in your repository from day one.
Do you offer white-label AI development for agencies?
Yes, and it is a core offering. We build under your brand, in your repository, and stay out of your client relationship unless you ask us into a call. NDA before the first commit, IP transferred to you, and delivery that fits your existing sprint process and tools. This is the same offshore model we have run for web development since 2002, applied to AI.
How much does AI development cost?
Three models. Fixed-price for a defined feature, extension, or app, quoted after a short proof of concept. Hourly from USD 25 per hour for discovery and iterative work with no minimum. A dedicated AI developer from USD 2,500 per month, full-time, on a minimum 3-month engagement with one month’s notice thereafter. Offshore rates mean you typically pay a fraction of US or UK agency pricing for senior engineering.
When is AI the wrong choice?
Often. If the task is deterministic, a rules engine is cheaper and more reliable than a model. If users need to find known items, a well-built search index beats a chatbot. If a result can be precomputed, a cached lookup wins on cost and speed. We scope the simplest thing that works and say so on the first call, because paying for an AI build you did not need is the most common waste we see.
Do you train custom AI models?
No. We are an application and integration shop, not an AI research lab. We do not train foundation models from scratch. We build production AI on top of existing models: integration, retrieval, fine-tuning where it genuinely helps, evals, guardrails, and cost control. If your project truly requires training a model from the ground up, we will tell you that early.
Related Questions
Ready to scope an AI build?
Send your product, your data sources, and the problem you want solved. You get an honest read on whether AI fits and a proof of concept on your real data before you commit.
