AI Chatbot Development Company.
Custom AI chatbots trained on your own content, connected to your CRM and live on your website, WhatsApp and app, with clean handover to human agents.
An AI chatbot trained on your own content answers customer questions accurately, in your tone, on your website, WhatsApp and app, and hands over to a human the moment it should. EqualPixels builds custom AI chatbots grounded in your documentation and connected to your CRM, so answers are specific to the customer asking rather than generic.
What makes an AI chatbot different from the old ones?
Rule-based chatbots followed a decision tree and failed the moment a customer phrased something unexpectedly. A modern AI chatbot, often called a custom GPT chatbot or LLM chatbot, is grounded in retrieval over your own content: it finds the relevant passage in your documentation, policies or product data, and answers from that, with a citation.
The practical difference is coverage. A scripted bot handles the twenty questions you anticipated. A retrieval-grounded bot handles the long tail, and tells you honestly when it does not know.
AI chatbot development services
Website and in-app chat
A branded chat widget that answers from your knowledge base, checks order or account status through your API, captures leads, and escalates to a human with the full conversation attached.
WhatsApp Business API chatbots
For teams in Pakistan, the UAE, Saudi Arabia and much of Europe, WhatsApp is the primary channel. We handle Business API approval, template messages, session management, shared team inbox and the automation behind it.
Internal knowledge assistants
A private chatbot for staff, answering from HR policies, SOPs, technical documentation and past project files, with permissions so people only see what they are entitled to.
Lead qualification bots
Conversational qualification that asks the questions your sales team would, scores the lead, books the meeting in the right calendar, and writes it all into the CRM.
Multilingual chatbots
English, Urdu, Arabic and European languages, including right-to-left interfaces and dialect handling, tested with native speakers rather than assumed to work.
Human handover and agent assist
Clean escalation into your existing helpdesk, plus an assist mode where the bot drafts the reply and your customer support agent approves it, which is often the right first step before full automation.
Where AI chatbots pay for themselves
| Use case | What the bot handles | What it protects |
|---|---|---|
| Pre-sales questions | Specifications, pricing logic, availability, comparisons | Enquiries lost outside office hours |
| Order and delivery status | Live lookup against your systems | Repetitive tier-1 tickets |
| Booking and scheduling | Availability, confirmation, rescheduling | No-shows and phone tag |
| Policy and account questions | Answers with citations from your own documents | Inconsistent answers between agents |
| Onboarding and how-to | Step-by-step guidance from your documentation | Support load in the first 30 days |
How much does AI chatbot development cost?
AI chatbot development typically starts at $5,000 for a single-channel chatbot grounded in your existing content, including content preparation, the test set and handover rules.
- Channels
- Each extra channel (website, app, WhatsApp, Slack) adds integration and testing work.
- Live lookups
- Reading order, booking or account data through your API, and writing back to the CRM, adds the most scope.
- Content clean-up
- Out-of-date or contradictory help content has to be fixed before it can be indexed.
- Languages
- Every language, Arabic and Urdu included, gets its own test set checked by native speakers.
Running costs sit outside the build: model usage is billed per token by the provider, and WhatsApp conversations carry Meta’s own per-message fees, published on its WhatsApp Business Platform pricing page. We estimate both from your real message volume before you commit.
How we build a chatbot that does not embarrass you
- Collect and clean the source contentAccuracy is a content problem before it is a model problem.
- Ground every answer in retrievalThe bot answers from your documents, not from what the model half-remembers about your industry.
- Write the refusal behaviourWhat it must never answer, and exactly what it says instead.
- Build a test setReal customer questions with approved answers, run on every change.
- Set the handover rulesLow confidence, an angry customer, or any money question goes to a person.
- Launch narrow, then widenOne topic area first, measured, before opening the whole knowledge base.
The stack behind our chatbots
- Models
- OpenAI, Anthropic Claude and Google Gemini, chosen per project by how they score on your test set
- Retrieval
- embeddings stored in pgvector, Pinecone or Qdrant, with hybrid keyword and vector search and a reranker so exact product names and codes are found
- Actions
- tool calling with structured outputs for order lookups, bookings and CRM updates, so the bot calls your API with validated fields rather than guessing
- Interface
- a streaming chat widget built with the Vercel AI SDK in React or Next.js, or the WhatsApp Business Cloud API
- Guardrails and evals
- refusal rules, PII redaction, a regression test set run on every change, and every conversation traced in Langfuse or your own logging
Frequently asked questions
Still have questions? Write to us at [email protected]
How much does AI chatbot development cost?
AI chatbot projects typically start at $5,000 for a single-channel bot grounded in your existing documentation. The price rises with the number of channels, live lookups into your systems, how much source content needs cleaning, and the languages required, so a multilingual bot with CRM write access is a larger build. Model usage and WhatsApp message fees are running costs on top, and we estimate them before you commit.
How long does it take to build?
Typically three to six weeks for a production chatbot on one channel, including content preparation and testing. WhatsApp adds time for Business API approval, which is outside our control and usually takes a few days to two weeks.
Can the chatbot use our existing help centre content?
Yes, and that is the fastest path to accuracy. We index your help centre, PDFs, policies and product data, and keep the index in sync as content changes.
What stops it from giving wrong answers?
Retrieval grounding with citations, an explicit refusal policy, a fixed test set run before every release, and confidence-based handover to a human. We also log every conversation so you can see what it got wrong and fix the source content.
Can it speak Arabic or Urdu?
Yes. We build and test multilingual bots including Arabic with right-to-left layout, and we validate quality with native speakers rather than relying on the model’s own claims.
Will it work on WhatsApp?
Yes. We set up the WhatsApp Business API, handle template approval, and connect it to the same knowledge base and CRM as your website chat, so a customer gets the same answer on either channel.
Do we need an AI agent instead of a chatbot?
If you want questions answered, a chatbot is enough. If you want work completed, such as issuing a refund or updating a booking, that is an AI agent. Many of our clients start with a chatbot and add agent capabilities once accuracy is proven.
Let’s build what’s next.
Tell us about your AI Chatbot Development Company project. We’ll reply within 24 hours with a clear plan and estimate.