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A fast, intuitive, and AI-powered search experience using instant answers, useful suggestions, and ambiguity correction in natural language.
Enjoy an intuitive, Google-like search experience to ask business questions the same way you do everyday Internet searches.
No more waiting days or weeks for reports and dashboards. Use intelligent search to get instant answers and make fast decisions.
With powerful analytics at your fingertips, save time discovering or cleaning data and spend your energy on decisive action instead.
Don't know where to start your search? Just click the search box to get AI-powered search suggestions.
Going beyond mere keywords, MachEye understands your queries, identifies the context in which you asked, and provides instant answers with charts and narration.
By providing ambiguity correction, search suggestions, and search prompts, MachEye helps you refine your queries to arrive at the exact information you were looking for.
MachEye helps you analyze unexplored dimensions in your data. By creating computed attributes, you can derive values not directly present in the data to provide additional business context.
Break free from the limitations of charts! It's easy to share your data insights with internal or external customers and transform their decision intelligence. Our APIs and SDKs simplify the integration of intelligent search into JavaScript, Java, and Python-based applications.
// Create an intent to start the search query flow
const macheye = require('macheye')('John Doe');
const searchQuery =
'find the campaign with highest billing growth last FQ';
const workspace = await macheye.metadataService.getWorkspaceDetails
('Revenue Operations');
// get MachEye to process the search query and fetch answers
const searchResponse = await macheye.searchService.doSearch
({searchQuery, workspace});
// process response object for inclusion in your app
customapp.renderResponse({searchResponse.charts,
searchResponse.text});
import com.macheye.Environment;
import com.macheye.Workspace;
import com.macheye.SearchService;
import com.macheye.SearchResponse;
Environment.configure('John_Doe', macheye_key);
String searchQuery =
"find the campaign with highest billing growth last FQ";
String workspaceCode = Workspace.getCode('Revenue Operations');
// get MachEye to process the search query and fetch answers
SearchResponse searchResponse = SearchService.search(searchQuery,
workspaceCode);
// process response object for inclusion in your app
processResponse(searchResponse.charts, searchResponse.text);
import macheye
macheye.configure("John_Doe", "macheye_key")
# Create an intent to start the search query flow
searchQuery =
"find the campaign with highest billing growth last FQ"
workspaceCode = macheye.Workspace.getCode('Revenue Operations')
# get MachEye to process the search query and fetch answers
searchResponse = macheye.SearchService.search(searchQuery, workspaceCode)
# process response object for inclusion in your app
processResponse(searchResponse.charts, searchResponse.text)
With natural search, search suggestions, and ambiguity correction on any device, MachEye makes enterprise data conversational.
Leveraging AI models, MachEye answers the “Why” behind your insights and recommends tactical and strategic actions.
By presenting insights as interactive stories, MachEye helps users explore, understand, and engage with data in a fun and easy way.
With a cloud-native SaaS offering, NO data duplication, and an automated data catalog, MachEye makes onboarding a snap.
What kind of data does the NLP based analytics search work with?
Do I need to prepare my data for NLP based search analytics to work?
How different is NLP based analytics search compared to LLM based products like chat-GPT?