AI Automation

AI automation that actually fits how your business works.

Most AI solutions deployed by businesses today are simple, out-of-the-box wrappers that do not understand specific customer contexts or operational flows. They hallucinate, give irrelevant answers, and fail to connect to your databases or scheduling tools.

At Vyuha, we build custom AI agents, automated communication pipelines, and document-processing engines that integrate directly with your actual workflows. By utilizing advanced LLM APIs (Anthropic Claude, OpenAI GPT) alongside customized vector search (RAG) and API webhooks, we create secure, language-agnostic AI systems. These tools operate 24/7, answering customer queries, notifying users, and digitizing operations without expanding your headcount.

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Timeline Live in 2–4 weeks
Tech stack
Claude API OpenAI API Python Node.js LangChain pgvector
What we build

What We Build

Our AI systems are customized to eliminate manual bottleneck procedures in customer support, back-office operations, and client communication:

Conversational WhatsApp AI Agents

Built using the WhatsApp Business API to hold natural conversations in English, Telugu, and Hindi, answering service queries and pricing questions.

Retrieval-Augmented Generation (RAG) Engines

Internal database bots that search through product catalogs, warranty policies, and company PDFs to serve correct answers.

Document Parsing & Extraction

AI scripts that automatically read incoming invoices, customer registration slips, and contracts, pushing structured data directly to your CRM.

Smart Lead-Routing Webhooks

AI scripts that score incoming leads, categorize customer intent, and route high-value deals directly to sales staff on Slack.

Architecture

How It Works Technically

We construct robust server architectures to ensure security and speed. Our pipeline typically routes WhatsApp API triggers through a Node.js webhook server hosted on Railway or Vercel.

User messages are embedded and matched against a pgvector (Supabase Postgres) database to pull company context. This context is fed to the Claude 3.5 Sonnet or GPT-4o API, returning a constrained response. Session memory is retained client-side, and if the system encounters a sentiment trigger indicating user frustration, the conversation automatically escalates to a live support team dashboard.

Technologies

Modern Tech Stack

We build with technologies optimized for speed, reliability, and security.

Claude & GPT APIs
For advanced reasoning, context understanding, and natural conversation flow.
Node.js & Python
For fast webhook handling, data processing pipelines, and AI agent logic.
Supabase & pgvector
For secure storage and ultra-fast similarity search over vector database embeddings.
WATI & Twilio
Meta-verified API integration channels for reliable customer WhatsApp messaging.
Free Proposal

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Fill out the form and our team will get back to you with a detailed strategy and quote within 24 hours.

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  • Direct developer communication
  • Fixed price, no hidden fees