Unlocking AI Solutions for Optimal Business Results
Smart Information and Task Assistant
SITA elevates customer support with API integrations that provide personalized answers. Powered by Langchain and versatile API adapters, SITA streamlines integrations across services.
BY TARKA LABS
Sales Email Agent
SEA is a savvy email creation tool that crafts bespoke lead-gen emails for targeted campaigns. Powered by a vector database and the best sales practices, SEA delivers compelling copy that converts.
BY TARKA LABS
Knowledgeable Retail Shopping Navigation Assistant
A conversational shopping assistant. KRSNA uses advanced LLMs to understand customer preferences, match them with products from a complex vector database, and drive discovery.
BY TARKA LABS
Knowledgeable Interactive Language Improver
Built for language learning, KILI translates podcast scripts and streams them in a dual-text display for effortless learning. It makes learning new languages intuitive and natural!
BY TARKA LABS
Versatile Intelligent Document Understanding and Retrival Agent
Built to simplify support. Powered by Retrieval Augmented Generation (RAG), VIDURA quickly digests vast document libraries to deliver precise answers based on context and past interactions.
Creative Harmonic Imagery Transformation Rendering Assistant
CHITRA generates album artwork by analyzing song lyrics, extracting keywords, and using AI to create unique cover designs. Simply select a song, and our tool transforms its essence into visually captivating artwork suitable for album covers.
BY TARKA LABS
SQL Assistant for Retrieval and Analysis
Connect your structured database system with SARA for GenAI to create SQL queries and fetch appropriate data for the questions asked by the user
BY TARKA LABS
Document Understanding and Data Extraction
DUDE is a tool to extract structured data from the documents that can be used for audits, analysis and downstream processing.
BY TARKA LABS
Music Catalog
MUSICAT is a headless music catalog system capable of conducting similarity searches across songs and extracting music metadata through advanced LLM models.
BY TARKA LABS