Datrics Analysis: $1 Raised
What is Datrics?
Datrics builds an enterprise AI decision engine for claims, medical coding, and regulated operational workflows. The platform combines no-code data integration, human-in-the-loop review, explainable decisions, and audit logging for healthcare, insurance, and public-sector use. Its case study shows 90% plus auto-validation, 99.9% assessment accuracy, and a public-sector deployment delivered in under 12 weeks.
Location
156 2nd St, San Francisco, California 94105, United States
Employees
11-50
Founded
2020
Revenue
$2.5-2.7M
Product Features & Capabilities
- Intelligent data ingestion engine, Automated data enhancement and processing workflow, AI data preparation, Advanced modeling capabilities, No-code visual interface, Natural language interface for instant analysis, Scheduled insights across multiple data sources, Embedded solutions, Cloud platform, On-premise installation, Professional services for AI strategy support.
Pricing
- Free Plan: Free, 20 MB dataset size
- Basic Plan: $19.99/month, 128 MB dataset size
- Professional Plan: $49.99/month, 1 GB dataset size
- Individual Plan: $41.66/user/month (billed yearly)
How much Datrics raised
1 - $1+ million
August 5, 2021Lead Investor: Not specified in the source
Who are the founders of Datrics
Market Focus
Datrics primarily focuses on the artificial intelligence industry, specifically in providing automated conversational analytics to help businesses process data and enhance decision-making.
Competitors Overview
Datrics competes in the AI-powered business intelligence and conversational analytics market with several notable competitors:
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DataChat: A no-code analytics platform that allows users to ask questions in plain English and receive instant answers. It emphasizes speed to insights and offers a free trial, making it attractive for users seeking a low-risk entry point.
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Chatterlytics: This tool provides natural language interaction with data, generating visualizations and reports instantly while ensuring enterprise-grade privacy. Its focus on privacy and multi-database support appeals to businesses with strict data governance needs.
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Datagran: An enterprise-grade platform that enables the creation of professional data software using AI, featuring natural language querying and custom alerts. It offers a freemium model starting at $50, which could be advantageous for startups or smaller businesses.
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Athenic AI: This platform provides mission-critical insights quickly without requiring technical expertise, with pricing starting at $120. Its focus on speed and ease of use may attract non-technical users.
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DataInsight: Offers instant data analysis and visualizations, connecting to major databases. It is a paid service starting at $200, which may be a consideration for budget-conscious businesses.
These competitors highlight various strengths such as ease of use, privacy features, and pricing models, which could influence a potential customer's choice depending on their specific needs.
Investors
- NEAR (located in Zug, Switzerland) - invested on Sep 27, 2022
- Y Combinator (located in Mountain View, United States) - invested on Sep 29, 2021
- ICU (located in Kyiv, Ukraine) - invested in 2021
Business Model
Subscription-based model with revenue from analytics services and customer insights solutions.
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