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Conversational AI Development Services

Conversational AI Development

Quecko builds conversational AI systems that go beyond scripted responses. We engineer multi-turn dialogue engines with intent recognition, entity extraction, knowledge-grounded responses, and seamless handoff to human agents — deployed across web, mobile, WhatsApp, Telegram, and voice channels.

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400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
What We Build

Comprehensive Conversational AI Engineering

01

Multi-Turn Dialogue Systems

Context-aware dialogue engines that track conversation state across multiple turns, handle topic switching, and maintain coherent responses throughout complex interactions — not just single-question FAQ bots.

02

Intent Recognition & Entity Extraction

NLU pipelines that accurately classify user intent and extract structured entities (dates, product names, order numbers, locations) from natural language — trained on your domain-specific vocabulary.

03

Knowledge-Grounded Responses (RAG)

Retrieval-augmented generation systems that ground AI responses in your knowledge base, documentation, and product data — delivering accurate, citation-backed answers instead of hallucinated responses.

04

Human Handoff & Escalation Logic

Intelligent escalation systems that detect when the AI can't resolve an issue, seamlessly transfer context to a human agent, and route based on topic, urgency, and customer tier.

05

Voice AI & Speech Interfaces

Voice-based conversational AI with speech-to-text, natural language understanding, and text-to-speech — deployed as IVR replacements, voice assistants, or phone-based support systems.

06

Omnichannel Deployment

Deploy your conversational AI across web chat, mobile apps, WhatsApp, Telegram, Slack, email, and voice — with unified conversation history and consistent behavior across channels.

The Challenge

Users don't want to talk to a decision tree. They want a conversation that actually solves their problem.

Most chatbots are glorified FAQ pages with a text input. They can't handle multi-turn context, misunderstand intent, give generic responses, and frustrate users into calling support anyway. Building a conversational AI that genuinely understands user intent, maintains context across turns, retrieves accurate information from your knowledge base, and knows when to escalate to a human — requires NLU engineering, dialogue management, and retrieval-augmented generation that most teams don't have in-house. Quecko builds conversational systems that resolve real issues, reduce support costs, and leave users feeling like they had a useful interaction.

Execution Blueprint

From Day 1 to Day 90: What Conversational AI Execution Looks Like

01Day 1–15

Dialogue Design & Data Analysis

Support data analysis, intent taxonomy design, conversation flow mapping, NLU architecture, and knowledge base assessment.

02Day 16–45

Core Development

Dialogue engine, intent/entity models, RAG pipeline, knowledge base ingestion, CRM/helpdesk integrations, and channel connectors.

03Day 46–75

Testing & Optimization

Intent accuracy testing, conversation simulation, edge case handling, response quality evaluation, human handoff testing, and performance optimization.

04Day 76–90

Deployment & Analytics

Omnichannel launch, analytics dashboard deployment, feedback loop setup, agent training on escalation workflows, and continuous improvement.

Technology

Technologies We Master

Tools, frameworks, and protocols we use to build secure and scalable solutions.

LLMs

OpenAI GPT-4oOpenAI GPT-4o
Anthropic ClaudeAnthropic Claude
Google GeminiGoogle Gemini
fine-tuned open-source modelsfine-tuned open-source models

NLU

RasaRasa
DialogflowDialogflow
custom intent classifierscustom intent classifiers
spaCyspaCy
transformer-based NERtransformer-based NER

RAG

LangChainLangChain
LlamaIndexLlamaIndex
PineconePinecone
WeaviateWeaviate
pgvectorpgvector

Voice

DeepgramDeepgram
WhisperWhisper
ElevenLabsElevenLabs
Twilio VoiceTwilio Voice

Channels

WhatsApp Business APIWhatsApp Business API
Telegram Bot APITelegram Bot API
SlackSlack
IntercomIntercom
custom web widgetscustom web widgets

Analytics

LangSmithLangSmith
custom conversation analyticscustom conversation analytics
sentiment trackingsentiment tracking
Our Edge

We Build Conversations That Resolve Issues — Not Frustrate Users.

Our RAG pipelines ensure responses come from your actual data — not LLM hallucinations. Every answer is traceable to your knowledge base.

Knowledge-Grounded Accuracy

Our RAG pipelines ensure responses come from your actual data — not LLM hallucinations. Every answer is traceable to your knowledge base.

Multi-Turn Intelligence

Our dialogue systems maintain context across complex, multi-turn conversations — not just single-question FAQ matching.

Omnichannel Native

We deploy across web, mobile, WhatsApp, Telegram, Slack, and voice — with unified conversation history and consistent AI behavior.

250+ Products Shipped

We bring the same engineering discipline to conversational AI that we apply to blockchain infrastructure and enterprise software.

Our Work

Our Projects

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Social Proof

“With hard work, determination, and an amazing team at Quecko, we can overcome any obstacle and achieve anything we set our minds to.”

Mateen O Dawood

Stable33 Protocol
Engagement

How We Collaborate

Dedicated Conversational AI Pod

Full-time NLU engineers, backend developers, and UX designers building your dialogue systems.

Project-Based Deployment

End-to-end conversational AI development from dialogue design to omnichannel launch.

Optimization & Scaling

Standalone engagement for improving existing chatbot accuracy, adding channels, or migrating to LLM-powered dialogue.

FAQ

Frequently Asked Questions

A chatbot typically follows scripted decision trees. Conversational AI uses natural language understanding, multi-turn context tracking, and knowledge retrieval to have genuine, adaptive conversations. We build the latter.

Yes. We integrate with Zendesk, Intercom, Salesforce, HubSpot, Freshdesk, and custom support platforms — syncing conversation context, ticket creation, and customer data.

We build intelligent escalation systems that detect uncertainty, transfer full conversation context to human agents, and route based on topic, urgency, and customer tier — ensuring seamless handoff without users repeating themselves.

Web chat, mobile apps, WhatsApp, Telegram, Slack, email, voice (phone/IVR), and custom integrations — all sharing unified conversation history and consistent behavior.

Blogs

Latest Stories from Quecko

Ready to build a conversational AI that actually resolves issues?

From multi-turn dialogue and knowledge-grounded responses to omnichannel deployment and human handoff — Quecko builds conversational systems your customers and support teams will thank you for.

Talk to a Conversational AI EngineerView Our Portfolio