AI Chat Interface
A clean chatbot or AI assistant interface where users can ask questions and get helpful answers.
LLM Chatbots & AI Web Apps
LLM Chatbots And AI Web Apps
Build intelligent LLM-powered chatbots and AI web applications that understand user intent, answer questions, process documents, connect with your systems, and automate business workflows. Dotera creates custom AI chat experiences, internal assistants, RAG-based apps, AI dashboards, and web apps powered by large language models.
LLM-Powered Chatbots
AI Web Applications
RAG & Knowledge Base Systems
Custom AI Workflow Integration
Page Sections
250+
Projects Delivered
50+
Happy Clients
98%
Client Retention
20+
Skilled Professionals
15+
Industries Served
100%
Satisfaction Guaranteed
Trusted By Leading Brands
Companies We’re Proud to Work With
We collaborate with forward-thinking companies across industries, delivering innovative digital solutions that drive real business impact and long-term success.
Why LLM Apps?
Because Modern Users Expect Intelligent Digital Experiences
LLM-powered chatbots and AI web apps can understand natural language, search knowledge, summarize content, automate workflows, and help users complete tasks faster. Instead of static interfaces, your platform becomes interactive, intelligent, and useful.
01
Natural Conversations
Let users ask questions and get helpful responses in plain language.
02
Knowledge-Aware Answers
Connect the chatbot with your documents, FAQs, databases, and internal knowledge.
03
Task Automation
Allow AI to summarize, classify, extract, generate, route, or trigger actions.
04
Custom AI Experience
Build AI workflows around your exact business model, users, tools, and goals.
AI App Features
Powerful Features for LLM Chatbots and AI Web Apps
We build AI features that help users search knowledge, upload documents, generate outputs, automate tasks, and interact with your platform intelligently.
Intelligent App Experience
From chat interfaces to AI-powered workflows, every feature is designed around real business use cases.
AI Chat Interface
A clean chatbot or AI assistant interface where users can ask questions and get helpful answers.
RAG Knowledge System
Give Your AI App the Right Knowledge
We can build retrieval-augmented generation systems that connect LLMs with your own documents, data, FAQs, policies, and business knowledge.
Retrieval-Augmented Answers
RAG helps your chatbot answer from your approved knowledge instead of relying only on general model knowledge.
Website Content
Use website pages, service details, pricing notes, help content, and public information.
PDF Documents
Process guides, reports, contracts, manuals, company policies, and other PDF files.
Knowledge Base
Connect FAQs, tutorials, internal help docs, support articles, and training material.
Database Content
Use structured records, product data, order data, CRM data, or business-specific datasets.
API Data
Fetch real-time data from tools, systems, dashboards, CRMs, or custom APIs.
Internal Documents
Train internal assistants using SOPs, processes, HR docs, project guides, or team knowledge.
RAG is best for AI apps that need accurate answers from your own approved knowledge, documents, policies, product data, or APIs.
AI Web App Types
AI Web Apps Built for Real Business Use Cases
We design and develop AI web apps for teams, customers, internal operations, document workflows, and SaaS-style AI products.
Customer Support AI App
Answer customer questions, search support knowledge, create tickets, and escalate complex cases.
Document AI Platform
Upload documents, extract information, summarize content, compare files, and ask document questions.
Internal Team Assistant
Help employees search SOPs, policies, project notes, company docs, and internal workflows.
AI SaaS Application
Build subscription-based AI tools with accounts, usage limits, dashboards, billing, and saved outputs.
AI Dashboard
Combine AI insights, reports, summaries, recommendations, and workflow controls in one dashboard.
Sales & Proposal Assistant
Generate proposals, qualify leads, summarize requirements, and support sales teams with AI guidance.
Prompt Workflow Engine
Structured AI Workflows, Not Random Prompts
Good AI apps need carefully planned prompts, rules, context, guardrails, outputs, and actions. We design prompt workflows that produce useful and reliable results.
01
User Input
The user asks a question, uploads a file, submits a form, or requests an AI action.
02
Context Retrieval
The app finds relevant knowledge, documents, database records, or previous conversation context.
03
Prompt Execution
The LLM receives structured instructions, context, rules, and formatting requirements.
04
Output Validation
The system checks formatting, required fields, confidence, safety rules, or missing details.
05
Action / Response
The app shows the answer, saves output, sends email, creates a ticket, updates data, or calls an API.
Structured prompt workflows help make AI outputs more reliable, reusable, formatted, and connected to real actions.
AI Integrations
Connect Your AI App With the Tools You Already Use
LLM apps become more valuable when they connect with your business systems, documents, user data, communication tools, and automation workflows.
OpenAI / Gemini / Claude
Integrate leading LLM providers based on your use case, budget, and technical requirements.
Vector Databases
Use vector search for RAG, semantic search, document Q&A, and knowledge retrieval.
CRMs & Support Desks
Connect AI workflows with HubSpot, Zoho, Salesforce, Zendesk, or custom CRM systems.
File Storage
Connect with Google Drive, Firebase Storage, S3, document libraries, or internal storage.
Authentication & Billing
Support user accounts, subscriptions, usage limits, payments, and access permissions.
APIs & Automation
Call internal APIs, trigger workflows, send emails, update databases, or create tasks.
We can integrate LLM apps with AI providers, vector databases, CRMs, file storage, billing, dashboards, and your custom APIs.
What You Get
From AI Idea to Working LLM Product.
From AI product planning and conversation design to RAG setup, LLM integration, frontend development, backend logic, testing, deployment, and support — everything is handled with a clear AI web app development process.
AI Product Planning
We define your use case, users, workflows, data sources, AI outputs, and success goals.
Conversation & UX Design
We design chat flows, prompts, user journeys, layouts, feedback, and interaction patterns.
RAG / Knowledge Setup
We prepare documents, embeddings, vector search, retrieval logic, and knowledge sources.
AI Web App Development
We build the frontend, backend, database, authentication, dashboards, and AI features.
Testing & Guardrails
We test prompts, outputs, edge cases, hallucination risks, access rules, and workflows.
Deployment & Support
We deploy your AI web app and help improve prompts, knowledge, and workflows after launch.
Deliverables
What You Receive
Every LLM chatbot and AI web app project comes with the core assets, integrations, testing notes, and deployment support needed for a reliable AI product.
AI Chat Interface
A polished chat UI or AI web app interface designed around your users.
Prompt Workflows
Structured prompts, system instructions, fallback rules, and output formats.
RAG Knowledge Setup
Document processing, embeddings, retrieval logic, and approved knowledge sources.
Frontend & Backend
Complete app logic, database, APIs, authentication, and AI integration.
Testing Report
Prompt testing, answer quality checks, edge cases, and workflow validation notes.
Deployment Support
Hosting setup, environment configuration, launch checks, and improvement support.
Everything is prepared for useful AI interactions, secure access, future improvements, and real business workflows.
Technologies We Use
Modern Technologies For Modern Solutions
We leverage the latest and most reliable technologies to build scalable, high-performance digital solutions tailored to your business needs.
Next.js
Next.js powers fast and scalable web applications with server-side rendering for optimal performance.
React.js
Build interactive UIs with React – the most popular JavaScript library for fast, dynamic, and responsive websites.
Node.js
A powerful backend framework, Node.js allows us to create scalable, real-time applications for modern web needs.
Express.js
Built on Node.js, Express is a fast, minimalist web framework that powers API development and server-side logic.
Web Development
Backend Development
Mobile App Development
AI App Safety
Secure. Controlled. Production-Ready.
LLM-powered apps need careful access control, safe prompt handling, data protection, and reliable response behavior. We design AI systems with practical guardrails and secure workflows.
Prompt Guardrails
Structured instructions and fallback rules for safer AI behavior.
Access Control
Limit features, data, and tools based on user roles and permissions.
Data Protection
Handle documents, user data, and business knowledge carefully.
Usage Monitoring
Track AI usage, errors, feedback, and improvement opportunities.
Timeline
From AI Concept to Live Web App.
A clear LLM chatbot and AI web app development timeline that keeps product planning, AI logic, integrations, testing, and deployment organized.
Week 1
Discovery & AI Product Planning
We define your use case, users, app flow, data sources, AI features, and technical requirements.
Week 2
UX, Prompts & Knowledge Setup
We design the interface, conversation flow, prompts, knowledge structure, and RAG setup.
Week 3-5
Development & Integrations
We build the AI web app, connect LLMs, configure retrieval, build APIs, and create dashboards.
Week 6+
Testing, Deployment & Optimization
We test output quality, deploy the app, monitor behavior, and improve prompts and workflows.
Estimated Delivery Flow
Our Pricing
Flexible LLM Chatbot & AI Web App Packages
Choose the right AI web application package based on your chatbot complexity, knowledge base, integrations, and product goals.
Starter
For basic LLM chatbots and MVPs
$5,999
One-Time
- Single LLM Chatbot
- Custom Chat Interface
- Basic Knowledge Base
- Website Integration
- Admin Panel
- 30 Days Support
AI App Support Plans
Keep Your AI Web App Reliable
Ongoing support plans to keep your LLM chatbots, AI web apps, knowledge bases, and integrations secure, updated, and optimized.
Care Basic
Essential support for small AI chatbots and MVPs.
$249/mo
- Monthly AI App Review
- Knowledge Base Updates
- Minor Bug Fixes
- Basic Performance Monitoring
- Email Support
Need a custom maintenance plan? We can tailor support based on your website size, update frequency, and business needs.
AI App Support
We Improve Your AI App After Launch
LLM apps become better with real usage. We help refine prompts, update knowledge, improve workflows, monitor usage, and add new AI features over time.
01
Prompt Improvements
We improve system prompts, answer quality, output formats, and fallback responses.
02
Knowledge Updates
We update documents, FAQs, product data, policies, and internal knowledge sources.
03
Usage Review
We review common questions, failed answers, user feedback, and improvement areas.
04
Workflow Enhancements
We add new AI actions, integrations, dashboards, or automation flows.
05
Safety Checks
We monitor edge cases, access rules, sensitive data handling, and response reliability.
FAQ
Frequently Asked Questions
Find quick answers to the most common questions about our services, process, and support.
Dotera LLM chatbots and AI web apps service can include AI product planning, chat UI design, prompt workflow design, RAG knowledge setup, LLM integration, frontend and backend development, database setup, authentication, dashboards, testing, deployment, and post-launch improvement.
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Seamlessly connect your brand and digital goals with smart, scalable solutions that drive real business growth.
Most Popular
Dedicated Team
Best for long-term and complex projects
Full-time Expert Team
Flexibility & Scalability
Transparent Pricing
Ideal for evolving and growing products.
Time & Material
Pay for the time and resources used
Flexible Scope
Agile & Adaptive
Pay as you go
Ideal for projects with changing needs.
