Build AI Features
Without Complexity
Add powerful AI capabilities to your application without building complex AI infrastructure. Create intelligent assistants, automate workflows, and connect your product to your data all from one platform.
Six powerful primitives to build
anything
AI Agents that Automate Work
Create AI agents that can understand tasks, make decisions, and complete multi-step workflows automatically no babysitting required.
- Customer support automation
- Order processing assistants
- AI operations assistants
- Automated research agents
Agents That Work Together
Multiple AI agents can collaborate, share information, and delegate tasks to each other to complete complex processes at scale.
- Research agent + writing agent
- Support agent + technical agent
- Sales agent + analytics agent
- AI team for internal operations
AI Chat with Text & Voice
Enable users to interact with AI using text or voice. Support conversations with multiple AI models depending on the task at hand.
- AI customer support chat
- Voice assistants in apps
- AI copilots for SaaS products
- Voice-enabled help centers
Persistent Chat History
Keep track of conversations so AI remembers previous interactions and provides increasingly relevant, context-aware responses over time.
- Long-term customer conversations
- AI tutoring systems
- Support ticket conversations
- AI productivity assistants
Smart Semantic Search
Find information based on meaning instead of keywords. Users ask questions naturally and instantly get the most relevant results.
- Help center search
- Documentation assistants
- Knowledge search inside companies
- Product information search
AI Knowledge Base
Connect your AI to documents, APIs, and databases so it can fetch real-time information and answer questions with precision and accuracy.
- AI support trained on company docs
- Internal company knowledge assistants
- AI product experts
- Data-driven chat assistants
Agents that think together
Common use cases
See how it fits into real-world workflows
AI Customer Support Agents
Resolve tickets automatically, escalate intelligently, and learn from every interaction to improve over time.
AI Copilots Inside SaaS Apps
Embed a context-aware AI assistant directly into your product that understands the user's data and workflow.
Internal Knowledge Assistants
Give your team instant access to institutional knowledge — docs, policies, past decisions — via natural conversation.
Voice AI Assistants
Deploy voice-first AI experiences that understand context, remember history, and respond naturally in real-time.
Automated Research Tools
Build agents that gather, synthesize, and summarize information from multiple sources into actionable insights.
AI Workflow Automation
Orchestrate complex multi-step business processes end-to-end with AI that decides, acts, and adapts dynamically.
DNotifier offers
Everything you need to build, scale, and deliver real-time experiences
Real time communication
Bring real-time communication to your business.
Seemless integration
Developers, save between 70% to 80% of development time.
Predictable pricing
Simple subscription plans designed for startups and growing teams.
Cheaper by design
- Predictable pricing
- No surprise bills
- Built for startups and enterprises
Resilient architecture
- No single point of failure
- Lowest message delivery latency
- Better resilience
- More control than traditional brokers
Focused feature set
- Pub/Sub
- Chat
- AI Agents
- Semantic / Elastic Search
Every application
needs dnotifier
Understand why every application needs to integrate DNotifier
Pub/Sub
- Predictable pricing
- No surprise bills
- Built for startups and enterprises
Chat
- Rapid chat setup
- Group & private messaging
- Built to scale
AI & Semantic Search
- Build intelligent AI agents
- Semantic search across knowledge
- Context-aware responses
How to use dnotifier
Integrate DNotifier into your app in minutes. Follow these three simple steps to start developing production grade softwares.
Install the Package
Initialize DNotifier
Connect & Receive Messages
React / Next.js (Browser)
In a browser environment you don't need to install or pass `ws`. The SDK automatically uses the browser's built-in WebSocket. Perfect for Vite, Create React App, or Next.js client components.
added 1 package, audited in 2s✓ Installation complete appId: "your_app_id", secret: "your_app_secret", transport: "ws", userId: "current_user_id", onConnected: () => console.log('Connected ✓'), onMessage: (data) => console.log(data.payload.toJSON()),}); ✓ Connected (browser WebSocket)One platform, three layers
DNotifier is built as a layered system — each layer adds intelligence on top of the last, giving you a complete real-time platform in one SDK.
AI Foundation
The foundational layer that connects AI models, enterprise data, APIs, MCP servers, and external tools into a unified AI ecosystem, enabling developers to build without vendor lock-in.
AI Orchestration
Design and orchestrate intelligent workflows where AI agents collaborate, make decisions, execute tasks, and seamlessly interact with humans and business systems.
AI Infrastructure
Run AI applications in production with enterprise-grade infrastructure for real-time communication, knowledge retrieval, observability, monitoring, and event-driven execution.
Built for developers, trusted at scale
From solo hackers to enterprise teams — developers choose DNotifier for its transparent pricing, clean SDK, and zero-compromise architecture.
Teams across every industry
Real-time infrastructure is a universal need. Here's where developers are deploying DNotifier.
Fraud alerts, trade notifications, account activity streams
Patient alerts, care coordination, AI triage agents
Live tutoring chat, quiz events, student notifications
Order status, inventory updates, support chat agents
In-app notifications, AI copilots, real-time dashboards
Fleet tracking, dispatch events, driver coordination
What developers say about DNotifier
Hear from developers who have used DNotifier and what they think about it.
“Our app needed AI agents with persistent memory, tool use, and live updates pushed to every client. DNotifier's runtime shipped in two days. No custom orchestration layer. We scaled past 200K DAU without surprise bills.”
“Our tutoring product needed agents that collaborate, research, support, and chat with a shared knowledge base. Multi-agent orchestration and semantic search shipped in days, not a custom LangGraph-style stack.”
“We run AI copilots and real-time dashboards on DNotifier’s messaging layer. Sub-5ms latency at a million messages a day, clean WebSocket SDK, and we stopped babysitting Redis, queues, and vector DBs separately.”