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brainiac/studio

Digital Studio

brainiac/studiobrainiac/studio
brainiac/studio
— digital studio
×
AI Chatbot Platformai · conversational ui
AI · Conversational UI · Multiple Clients · 2024

AI Chatbot Platform

Custom AI customer support chatbots, built per client, trained on their knowledge — embedded in their websites and answering real questions every day.

Custom AI Chatbot DevelopmentKnowledge Base TrainingWeb Widget IntegrationOngoing Maintenance & RetrainingOpenAI GPT APICustom Chatbot ArchitectureKnowledge Base IntegrationWeb Chat WidgetResponsive Conversational UIOngoing Training & MaintenanceCustom AI Chatbot DevelopmentKnowledge Base TrainingWeb Widget IntegrationOngoing Maintenance & RetrainingOpenAI GPT APICustom Chatbot ArchitectureKnowledge Base IntegrationWeb Chat WidgetResponsive Conversational UIOngoing Training & Maintenance
live product
brainiac.studio
AI Chatbot Platform
AI Chatbot Platform — mobile

Industry

AI · Conversational UI

Location

Multiple Clients

Services

Custom AI Chatbot Development, Knowledge Base Training, Web Widget Integration…

Engagement

Ongoing Service Offering

— about the client

Who they are.

Most businesses don't need a generic AI assistant. They need a chatbot that knows their business — their products, their policies, their FAQs, their tone — and can answer customer questions with that context, on their own website, 24 hours a day. That's what we build. Custom AI customer support chatbots, powered by modern language models, trained on the client's own knowledge base, and embedded directly into their site as a chat widget. We've delivered this service to multiple clients across industries — and we offer it as an ongoing capability, not a one-time build.

— services delivered

01Custom AI Chatbot Development
02Knowledge Base Training
03Web Widget Integration
04Ongoing Maintenance & Retraining
— the problem

Why businesses come to us.

The businesses we build chatbots for share the same underlying problem.

  • Their support inbox is full of the same questions over and over.
  • Their team spends hours every week answering things that are already in the FAQ.
  • Their customers expect answers immediately — and the team can't be online 24/7.
  • Off-the-shelf chatbots don't actually know the business. Generic responses lose customers.
  • They want AI — but they want it to feel like their AI, not somebody else's.
— our solution

How we build it.

We don't sell a generic platform. We build a custom chatbot for each client, trained on their content and tuned to their voice — using a build pattern we've sharpened across multiple engagements.

01

Custom Build Per Client

Every chatbot we deliver is a custom build. There's no shared template, no multi-tenant SaaS dashboard the client logs into. The chatbot belongs to the client — branded, trained, and deployed to their site as their own.

  • Custom chatbot per client — not a shared template
  • Branded UI matching the client's site design
  • Tone and persona tuned to the client's voice
  • Independent deployment per business
02

Knowledge Base Training

The chatbot is only as good as what it knows. We train each bot on the client's actual content — FAQs, product information, policies, support documents, whatever forms the real knowledge base of the business.

  • Knowledge base ingestion from client-provided FAQs and support content
  • Context-aware responses grounded in the client's real information
  • Updates and re-training as the client's content evolves
  • Quality review on real customer-style questions before going live
03

Web Widget Deployment

We deploy each chatbot as an embedded chat widget on the client's website. No app downloads, no separate login — customers chat with it the moment they land on the site.

  • Embedded chat widget integration on the client's website
  • Mobile-responsive conversational UI
  • Minimal integration footprint — easy to add to any site
  • Live, always-on customer support that doesn't sleep
— by the numbers

The metrics.

Multiple

Clients served across industries

GPT

Powered by OpenAI's modern language models

24/7

Always-on customer support per deployment

Custom

Built per client — not a shared template

— outcomes

What changed.

Our clients don't measure chatbots in vanity metrics. They measure them in support tickets that never got opened — because the bot answered first. We've delivered across e-commerce (product, shipping, returns, and policy questions), services businesses (bookings, enquiries, FAQ traffic), education (prospective student guidance), and more. The build pattern is consistent; the customisation is what makes each chatbot useful.

  • Delivered custom AI chatbots to multiple clients across multiple industries.
  • Each bot trained on its client's actual FAQ and knowledge base content — not generic responses.
  • Embedded as branded chat widgets on each client's website.
  • Live 24/7, handling the repetitive customer questions that used to consume team time.
  • Ongoing engagement — we maintain, retrain, and improve the chatbots as our clients' businesses evolve.
— tech stack

What we used.

OpenAI GPT APICustom Chatbot ArchitectureKnowledge Base IntegrationWeb Chat WidgetResponsive Conversational UIOngoing Training & Maintenance
— active service offering

Why a service, not a product.

There are plenty of generic chatbot SaaS tools on the market. We're not trying to compete with them. We build custom because customer support chatbots that work — that actually deflect support tickets and don't frustrate customers — need to know the business they're serving. A SaaS product can't do that as well as a custom build can. So we offer it the way it should be done: per client, properly trained, branded, and maintained. If you'd rather have a chatbot that's generic but cheap, we're not the right fit. If you want one that actually feels like part of your business, we are. The AI Chatbot Platform is an active, ongoing service. We continue to build new chatbots for new clients, maintain and retrain existing ones, and improve our approach as the underlying AI models evolve.

— start a project

Let's build what's next.

Tell us what you're building. We'll tell you how we'd approach it.