Quaeris

Quaeris

Quaeris, Inc.
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About

Conversational Intelligence is a unique way for the human user to collaborate with a machine. Humans bring to the table their intuition, and the machine comes with its ability to self-drive through data uncovering interesting patterns. Thus, humans and machines play to their strengths and collaborate to discover hidden gems in data. Using the unique Conversational Intelligence technology pioneered by DataChat, now you can carry out a broad range of data analytics functions, including exploratory data analysis, predictive analytics, structured querying, free search querying, visualization and data wrangling in a single platform. And you can do this by simply conversing with the platform in controlled natural language. Do more with less, and faster. Get richer and faster insights from data even with small teams, and move your business at the speed of data. Improve your competitive advantage. DataChat AI is a conversational, natural language, data analytics platform

About

Align analytics to your everyday business workflows. Your business relies on people, data and documents, but the process of using them is broken. QuaerisAI enables seamless downstream workflows across your People, Documents and Data Assets. Use natural language search on data, documents and collaborate in private or within Communities - all in one platform! QuaerisAI offers time savings of at-least 30 minutes to an hour/day/resource - imagine the productivity enhancements you give your users without the expense of buying and consolidating a bunch of AI tools. Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses looking for a conversational, natural language and data analytics platform

Audience

CROs, COOs, CIOs. Finance, Sales and Ops

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$100 per month
Start with User Group based pricing or Consumption Based pricing.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.3 / 5
features 4.3 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • QuaerisAI stands out as a converged enterprise search engine that finally bridges the gap between structured data and unstructured documents. No more toggling between platforms. No more copy-pasting SQL. I particularly appreciate the chat interface that lets you ask questions in plain English—ideal for non-technical users and a godsend for ops leaders trying to drive real-time insights. Features like BYOM (Bring Your Own Model) give flexibility that's rare. The Data Extract Agent is also a game-changer—transforming 1000s of docs into clean, structured spreadsheets instantly.
  • Quaeris is a sleek and lightweight platform and hence it is easier to implement. The visualizations and the dashboard features are excellent. Unlike other similar enterprise tools in the market, it doesn't require a lot of heavy lifting which makes it a great choice for faster implementation and enterprise-wide adoption.
  • Quaeris positions itself as a next-generation GenAI-powered analytics platform that transforms how businesses interact with data. Its core value proposition revolves around enabling self-service analytics through conversational queries, AI-driven insights, and embedded data storytelling. 1. Conversational Interface is Intuitive Quaeris allows business users (non-technical) to interact with complex datasets using simple natural language queries — similar to a ChatGPT-like interface for data analytics. 2. Speed to Insights Its ability to pull structured (databases) and unstructured (documents, reports) data into a unified query layer is a major time-saver for business intelligence (BI) workflows. 3. Embedded Analytics for SaaS Products Strong capability to integrate analytics and data visualizations natively into other SaaS applications — good for product teams. 4. Proactive Insights via AI Agents Rather than only responding to queries, Quaeris agents surface trends, anomalies, and business recommendations automatically. 5. Secure & Enterprise-Ready Focus on data governance, compliance, and secure deployment options (important for regulated industries like finance or healthcare). Key Features: Conversational Analytics (natural language queries to data) Embedded Analytics for SaaS platforms Enterprise Search across structured and unstructured data Data Stories — auto-generated visual narratives Proactive AI Agents that surface insights without being asked Collaboration features for data sharing and storytelling Secure, enterprise-grade decision intelligence

Cons

  • The learning curve to fully leverage all the advanced features—like pinboards and query inspection—might require more onboarding support or user training. The UI could benefit from more customization options for more technical users.
  • Haven't observed any significant limitations so far.
  • 1. Early Stage Product Maturity Quaeris is still evolving. Some users may find limitations in highly customized reporting or complex data modeling compared to mature BI platforms like Tableau or Power BI. 2. Data Preparation Still Required Although it enables natural language queries, the underlying data still needs to be structured, clean, and mapped correctly to get optimal results. 3. Enterprise Deployment Complexity Larger enterprises with diverse and siloed data systems may require significant integration effort for full value realization. 4. Graphic Instructions would Help the Novice As the product evolves, the onboarding of new customers can be improved by providing clear, visual instructions of its use. Step-by-step sequences and examples will be appreciated by the users.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DataChat
Founded: 2017
United States
datachat.ai/

Company Information

Quaeris, Inc.
Founded: 2020
United States
www.quaeris.ai/

Alternatives

Alternatives

Looker

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Quaeris

Quaeris

Quaeris, Inc.

Categories

Categories

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Natural Language Processing Features

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Predictive Analytics Features

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Dashboard Features

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Embedded Analytics Features

Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management

HR Analytics Features

Compensation Plan Modeling
Dashboard
HR Metrics Library
Leave & Absence Reporting
Predictive Modeling
Recruiting Management
Succession Planning
Talent Management
Trend Analysis
Turnover Tracking

Marketing Analytics Features

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Natural Language Generation Features

Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Product Analytics Features

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Sales Analytics Features

Collaboration Tools
Dashboards
Forecasting Analytics
Ideal Customer Profile (ICP)
Lead Analytics
Pipeline Management
Predictive Forecasting
Predictive Lead Scoring
Sales Intelligence Reporting

Integrations

ADP DataCloud
Appfigures
Azure Synapse Analytics
BigCommerce
Branch
Docebo
Ellucian Banner
Google Tasks
Guru
HiBob
Informatica Data as a Service
Instagram
Medallia
Oracle Fusion Cloud ERP
Oracle Siebel CRM
PayPal
RingCentral RingCX
Zendesk Gather
Zendesk Sell
Zendesk Talk

Integrations

ADP DataCloud
Appfigures
Azure Synapse Analytics
BigCommerce
Branch
Docebo
Ellucian Banner
Google Tasks
Guru
HiBob
Informatica Data as a Service
Instagram
Medallia
Oracle Fusion Cloud ERP
Oracle Siebel CRM
PayPal
RingCentral RingCX
Zendesk Gather
Zendesk Sell
Zendesk Talk
Claim DataChat and update features and information
Claim DataChat and update features and information
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