Conversational AI

Rag Chatbot production-grade that ships on day one

Retrieval-augmented chatbots that answer from your private docs, PDFs, and databases — grounded and citable.

Overview

What RAG Chatbot Development looks like with us

We help fast-moving companies ship Rag Chatbot with senior engineers, clear scopes, and honest timelines. We bring production discipline: observability, runbooks, rollback plans, and documented handover to your team. Each project has a named lead engineer, a delivery lead, and a weekly written status so there are no surprises. Whether you're a seed-stage startup or a Fortune 500 modernising legacy systems, the engagement shape adapts to your stage.

What we deliver

01Continuous improvement loop — review logs, refine prompts, retrain as needed
02Intent design, conversation flows, and fallback strategies built around real user transcripts
03Multi-channel deployment — WhatsApp, Messenger, Slack, web, voice where needed
04Guardrails: PII redaction, prompt injection defence, content policy enforcement
05Analytics: containment rate, handoff rate, CSAT sampling

Use cases

How teams use this

01 / 03

Deploy a sales-qualification bot on your marketing site or WhatsApp

02 / 03

Launch a support chatbot that resolves common queries and hands off cleanly to humans

03 / 03

Build an internal knowledge assistant over your company's Notion / Confluence / Drive

Stack we typically work across

OpenAIClaudeTwilioWhatsApp Business APISlack APILangChain

Trusted by teams worldwide

100+ companiesquietlyrunonsystemswebuilt.

FAQs

Common questions

Does it integrate with our CRM or helpdesk?

Yes — Zendesk, Intercom, Salesforce, HubSpot, Freshdesk, and custom systems via webhook.

What containment rates should I expect?

For well-scoped support bots with a clean knowledge base, 40-65% containment is realistic. We baseline on your actual transcripts before quoting numbers.

Do you sign NDAs before a scoping call?

Yes — standard practice. We circulate a mutual NDA before any detailed conversation about your product, data, or roadmap.

What does pricing look like?

Three models: fixed-scope for clear MVPs, monthly retainer for ongoing engineering, or day-rate staff augmentation. We send a written quote within one week of the scoping call.

Client voices

Whatpeople who shipped with ussayafterwards.

01 / 04

“Engineer Master Labs built our entire AI call center platform from scratch. Their STT model supporting 100+ languages transformed our business completely!”

Tanya Schumann

CEO PreCallAI

02 / 04

“The automation solutions from Engineer Master Labs helped us scale our revenue operations without hiring additional staff. Their lead generation automation is exceptional.”

Moushami Ganguly

Founder RevenueCaptain

03 / 04

“Their AI engineers delivered a robust call automation system that processes thousands of calls daily. The real-time STT capabilities are game-changing for our business.”

Udit Goenka

CEO QCall.ai

04 / 04

“Engineer Master Labs provided exceptional full-stack development services. Their team's expertise in both frontend and backend technologies delivered exactly what we needed.”

Robert C.

CTO FareOf