Entis

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Entis is an AI-powered platform designed for asset managers to build investment portfolios with sustainable returns. It analyzes unstructured data to discover key investable insights.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is Entis?

Entis is an AI-powered platform that assists asset managers in constructing investment portfolios aimed at achieving sustainable returns. The platform leverages artificial intelligence to analyze unstructured data, identifying and extracting crucial investable insights. It employs a scientific methodology to explore and uncover new investment opportunities in previously uncharted territories. Entis operates as an independent business unit of APG and originated as a spin-off from Deloitte.

Best used for

Building sustainable investment portfolios by leveraging AI to analyze unstructured data and discover unique insights.

Common actions

Build investment portfolios

Analyze market data

Discover investment insights

Optimize returns

Identify new opportunities

Capabilities

Key features

AI-powered portfolio building
Analyzes unstructured data
Discover investable insights
Scientific investment approach

Target Audience

Asset ManagersInvestment ProfessionalsFinancial Analysts

Integrations

Not yet documented

Pricing & Plans

unknown

Not publicly disclosed. Check entis.ai for current pricing.

FAQs

Given Entis is an independent business unit of APG, is it available for external asset managers or exclusively for APG's internal use?

Entis is designed to assist asset managers in general. While it originated from APG, its platform and services are available to other institutional investors and asset managers looking to enhance their portfolio construction with AI-driven insights.

What types of unstructured data does Entis analyze to discover investable insights?

Entis analyzes a wide range of unstructured data, including news articles, research papers, social media feeds, corporate filings, and other alternative data sources. Its AI models are trained to extract sentiment, trends, and hidden correlations from this diverse information.

How does Entis's 'scientific investment approach' differ from traditional quantitative analysis?

Entis's scientific approach goes beyond traditional quantitative analysis by leveraging advanced AI and machine learning to identify non-obvious patterns and relationships in vast, complex datasets. It aims to uncover novel investment opportunities that might be missed by conventional methods, rather than just optimizing known factors.

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