Web Applications
Fast, secure, SEO-ready web apps and SaaS platforms built with React, TypeScript and Node.js — from dashboards to full multi-tenant products.
Explore web applications →Services
Everyone has met a chatbot that made things worse. The difference between that and one customers actually thank you for is not the AI model — it is everything built around it.
A production chatbot needs four things a demo never shows: retrieval, so answers come from your real documents instead of the open internet; guardrails, so it stays inside your policies and prices; escalation, so a human takes over the moment confidence drops or a customer asks for one; and analytics, so you can see what people actually ask and fix the gaps. We build all four in from the first week — they are the project, not add-ons.
We are model-agnostic on purpose. The right large language model depends on your languages, latency needs and budget, and the market shifts every few months — so we architect every bot so the model can be swapped without rebuilding. What stays constant is your knowledge base, your conversation design and your integrations.
Channels matter as much as intelligence. A support bot that only lives on your website misses the customers who message you on WhatsApp — which, in the Middle East and much of Asia, is most of them. We deploy to web chat, WhatsApp Business and internal tools like Slack from the same brain, so answers stay consistent everywhere. We practice what we build: the AI finance assistant on our own Ectto platform runs with carefully scoped guardrails in front of real public users.
Delivery follows our standard escrow model: we agree a test set of real questions the bot must answer correctly, you verify against it, and funds release only when it passes. An AI project with no acceptance criteria is a gamble; ours ships with a scorecard.
Questions people ask us
Left alone, language models can — which is why we never leave them alone. Retrieval grounds every answer in your documents, guardrails keep the bot inside approved topics, and when it is not confident, it says so and offers a human instead of guessing. We also agree a test set of real questions before launch, and the bot must pass it before escrow releases.
Whichever fits your languages, latency and budget best at build time — and we architect so the model can be swapped later without rebuilding, because this market moves fast. Your knowledge base and conversation design are the durable investment; the model is a component.
Yes — that is the core of most builds. We ingest your help articles, PDFs, product data and policies into a searchable knowledge base the bot retrieves from. When your documents change, the bot updates; no retraining projects, no stale answers.
Yes, through the WhatsApp Business API — and for businesses in the Gulf, India and Southeast Asia we usually recommend starting there, because that is where your customers already are. The same bot can serve your website chat simultaneously with consistent answers.
Two costs: our build (fixed, quoted upfront, escrow-protected) and the ongoing model usage, which is metered per conversation and billed by the AI provider to your own account. For most support bots, monthly usage costs less than a single staff hour — we will estimate it for your volumes before you commit.
It must — and we design the handover to carry full context, so your agent sees the whole conversation instead of asking the customer to repeat themselves. Handover triggers are configurable: low confidence, specific topics like refunds, or simply the customer asking.
The analytics dashboard shows resolution rate, deflection, common questions, and where conversations get stuck. In the first month we review it with you and tune the knowledge base — the bot at week six is meaningfully better than at launch, and you can see exactly why.
Related
Fast, secure, SEO-ready web apps and SaaS platforms built with React, TypeScript and Node.js — from dashboards to full multi-tenant products.
Explore web applications →Subscription platforms, license servers and cloud backends on Azure, AWS and Vercel — with billing, auth and analytics built in.
Explore saas & cloud →Every ai chatbots project runs on our escrow model: your funds stay safeguarded until you approve delivery.
How escrow works →Tell us about your project — we'll reply within one business day with a plan and an escrow-protected quote.