Overview

Indite.io is a no-code / low-code automation platform that unifies customer engagement and business process orchestration. The platform is built using Node.js and Next.js and is deployed on AWS Cloud infrastructure. By leveraging a secure, custom-managed infrastructure, Indite enables organizations to deploy AI-driven solutions that connect conversational interfaces directly to complex backend operations within a single, extensible ecosystem.

Technologies Used

Node.js
Next.js
Pinecone
LangChain
OpenAI SDK
AWS

Project Highlights

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Built a secure low-code/no-code automation platform and hosted it on AWS

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Enabled business teams to launch AI workflows without technical support

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Model-agnostic AI orchestration supporting multiple LLMs

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Secure networking and advanced data protection

The Challenges

1

Data isolation concerns in multi-tenant and shared AI environments

2

Limited infra and database control with standard managed services

3

Difficulty bridging conversational AI with complex backend workflows

4

Security risks linked with handling sensitive enterprise & customer data

Solutions by Bacancy

1

Secured platform infrastructure with isolated AWS networking and ensured compliance readiness

2

Our AWS developers deployed self-managed PostgreSQL on EC2 and optimized compute configurations

3

Our AI developers built a model-agnostic AI orchestration layer using LangChain, OpenAI SDK, and Pinecone to connect chat interfaces with backend processes.

4

While building Indite.io, Bacancy developers enforced ephemeral data storage, advanced data anonymization, and private network layers to ensure enterprise-grade security.

Core Features

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Visual chatbot and workflow builders for no-code AI automation

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Secure, isolated networking with layered VPC-based defenses

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Model-agnostic AI orchestration supporting multiple LLM providers

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Structured data partitioning for privacy, auditability, and compliance

No. of Resource

04

No. of Resource

Time Frame

May 2023 - Dec 2025

Time Frame

Project Snapshot

Indite.io

Outcomes

Reduced Engineering Dependency for AI Deployment

Accelerated Time-to-Market for AI Use Cases

Established Secure Multi-Tenant Architecture with Strict Data Isolation

Strengthened Enterprise Data Protection and Compliance Readiness

Enabled Full Infrastructure and Database Control

Eliminated Vendor Lock-In with Model-Agnostic AI Orchestration

Technical Stack

Frontend Next.js (App Router)React Zustand React Query
Backend Node.jsPostgreSQL Pinecone
Cloud AWS
AI LangChain OpenAI SDKGoogle Generative AIAWS Bedrock
Integrations Stripe WhatsApp Slack REST APIWebhooks iframe embeddable scriptSDKs
CMS & Web Builders WordPress Shopify Webflow Wix Framer

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