Hai App

Building an Intelligent Chat Platform for Everyday Productivity

Ment Tech Labs collaborated with Hai App to develop an advanced AI-powered chatbot platform that blends productivity and conversation in one intuitive experience. Designed for both personal and professional users, Hai enables intelligent task automation, real-time assistance, and contextual interactions through a sleek and scalable AI interface.

Hai App

Quick Project Highlights

Region/Industry

Project Duration

Client Type

Core Technologies

OpenAI API
LangChain
Next.js
FastAPI
PostgreSQL
Redis
WebSocket
AWS Lambda
Hai App

Client Background

Hai App is an innovative AI startup that set out to redefine personal and professional productivity through intelligent conversation. Unlike traditional chatbots built for single-purpose tasks, Hai functions as an all-in-one conversational assistant managing schedules, generating ideas, writing drafts, and automating everyday workflows through a natural chat interface.

The client’s vision was to design a platform that feels human-like yet highly functional, capable of integrating with calendars, note-taking tools, and productivity systems while maintaining seamless data privacy and personalized responses. Ment Tech Labs was chosen to architect and develop the full AI ecosystem from prototype to launch.

Your AI Should Work the Way You Do

Key Challenges Hai Faced Before Partnering
with Ment Tech Labs

Fragmented Productivity Ecosystem

Fragmented Productivity Ecosystem

Users had to switch between multiple apps for messaging, task management, and creative assistance.

Lack of Contextual Understanding

Lack of Contextual Understanding

Existing chatbots struggled to retain memory across conversations, leading to repetitive prompts and poor continuity.

Complex Risk Modelling for Isolated Markets

Real-Time Integration Complexity

Syncing live data from tools like Google Calendar, Notion, and Slack within conversations required advanced API orchestration.

Scalable Backend for Future Integrations

Scalability of AI Interactions

The system needed to support thousands of concurrent chat sessions without performance lag or response delay.

Multi-Modal Functionality

Multi-Modal Functionality

The client aimed to include text, voice, and image-based interactions, each requiring optimized processing and memory retention.

Secure Data Management

Secure Data Management

Ensuring privacy and compliance for user data across personal and enterprise accounts demanded robust encryption and permission control.

Ment Tech Labs’ Development Approach

Phased Execution Focused on Transparency, Impact, and Scalability

Ment Tech Labs approached the Hai App project with a clear objective — to create an intelligent, human-like chatbot that could act as a personal assistant and productivity companion. The development strategy was divided into structured phases to ensure technical precision, scalable infrastructure, and intuitive design.

Discovery and Requirement Analysis

The team conducted deep research on user behavior, productivity workflows, and conversation patterns. Multiple use cases were defined, from freelancers managing projects to executives organizing daily tasks. These insights formed the foundation for the AI flow and interface logic.

Discovery Phase

System Architecture and Model Selection

Ment Tech Labs designed a modular architecture capable of supporting conversational memory, natural language reasoning, and external tool integration. The system used a combination of fine-tuned GPT models and LangChain pipelines to ensure long-term contextual recall and smooth multi-turn conversations.

Compliance and KYC Workflow Integration

Backend Development and Data Layer Setup

The backend was built using FastAPI and PostgreSQL, optimized for scalability and latency-free responses. Redis caching handled conversational state management, while WebSocket protocols were implemented to power real-time, multi-session chats without delay.

Smart Contract Development and Testing

Frontend and UX Engineering

The front-end team created a clean, distraction-free chat interface using Next.js with Tailwind CSS. A dual-pane layout was developed, one for conversations and another for tasks, reminders, and automation summaries. Special attention was given to accessibility, ensuring a seamless experience across desktop and mobile devices.

 Wallet and Network Interoperability

Integration of External Tools and APIs

Custom connectors were developed for Google Calendar, Slack, Notion, and Trello to allow Hai App to schedule meetings, summarize chats, and organize notes directly from user prompts. The integration layer was designed to let users manage multiple tools through one central conversation thread.

Frontend Experience and Card UI Design

Context Memory and Personalization

Ment Tech Labs implemented a dynamic memory layer that stored contextual data such as user preferences, tone, and task history. This allowed the AI to remember instructions like “Remind me every Monday” or “Draft messages in a friendly tone,” ensuring continuity between sessions.

Performance Optimization and Launch

Quality Assurance and Security Implementation

Extensive testing was performed to validate the accuracy of AI responses and prevent data overlap between users. AES-256 encryption, token-based authentication, and anonymized data handling were enforced for full privacy and compliance with GDPR standards.

Performance Optimization and Launch

Deployment and Continuous Optimization

The final system was deployed on AWS Lambda for dynamic scaling and high availability. Ment Tech Labs also set up analytics dashboards to track AI performance, response accuracy, and user engagement. Continuous monitoring allowed for rapid updates, ensuring consistent improvements post-launch.

Performance Optimization and Launch

Solutions Delivered for Hai App

Ment Tech Labs delivered a complete AI-driven productivity ecosystem for Hai App transforming it from a simple chatbot concept into an intelligent assistant that manages workflows, automates daily actions, and adapts to every user’s behavior. Each solution was engineered to meet specific goals of usability, personalization, and performance.

Unified Conversational Interface

Unified Conversational Interface

Developed a seamless chat experience that merges communication, task management, and information retrieval into one interface, eliminating the need for multiple productivity apps.

Context-Aware AI Engine

Context-Aware AI Engine

Integrated a conversational memory layer that allows the AI to recall previous chats, preferences, and incomplete tasks ensuring continuity and human-like understanding during long sessions.

Workflow Automation and Smart Commands

Workflow Automation and Smart Commands

Enabled users to automate tasks such as meeting scheduling, note creation, and project updates through simple prompts like “Remind me to follow up on design feedback at 3 PM.”

Multi-Platform Connectivity Layer

Multi-Platform Connectivity Layer

Built a secure integration framework that connects Hai App with Google Workspace, Notion, Trello, and Slack, allowing users to manage data and communications in real time.

Voice and Text Interaction Engine

Voice and Text Interaction Engine

Introduced dual input modes where users can switch between text and voice seamlessly. This was powered by speech-to-text AI and optimized latency processing for instant responses.

Custom AI Routine Builder

Custom AI Routine Builder

Developed a no-code interface that lets users design recurring workflows such as “Morning Summary,” “Meeting Recap,” or “Daily Focus List” directly through chat prompts.

Our clients

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Elephant
Quantum Genrater
Energy Fi
Wenbit
3co-swap
Crypto
social swap

Key Features of the Hai App

Intelligent Conversation Hub



Memory-Powered Responses



Integrated Task Panel



Multi-App Integration Dashboard


Voice Command Activation

Personalized Routine Builder



Knowledge Summarizer



Secure Cloud Architecture

Multi-Device Continuity
Intelligent Conversation Hub

Intelligent Conversation Hub

A centralized space where users chat, create tasks, ask questions, and get instant answers from the AI without switching between apps.

Memory-Powered Responses

Memory-Powered Responses

The system remembers past interactions, pending tasks, and user preferences, allowing the AI to deliver consistent and context-aware responses.

Integrated Task Panel

Integrated Task Panel

Each conversation can trigger actionable tasks like setting reminders, creating lists, or assigning team follow-ups directly from the chat window.

Multi-App Integration Dashboard

Multi-App Integration Dashboard

A unified control center that connects with tools like Google Calendar, Slack, Notion, and Trello, letting users automate actions within external apps.

Voice Command Activation

Voice Command Activation

Users can talk naturally to the AI to schedule meetings, manage notes, or request summaries using speech recognition and instant response delivery.

Personalized Routine Builder

Personalized Routine Builder

A feature that allows users to set recurring daily workflows such as “Morning Report” or “End-of-Day Summary,” customized entirely through chat instructions.

Knowledge Summarizer

Knowledge Summarizer

The AI can condense long conversations, meetings, or documents into short summaries and key takeaways for quick decision-making.

Secure Cloud Architecture

Secure Cloud Architecture

Every message, task, and file is processed through encrypted cloud servers with strict data privacy and user-level control.

 Multi-Device Continuity

Multi-Device Continuity

Sessions remain synced across mobile, desktop, and web so users can start a conversation on one device and continue seamlessly on another.

Enquiry

Key Outcomes and Measurable Impact

Driving Performance and Efficiency Across DeFi Markets

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