About Apers

Apers provides an AI-autopilot platform that automates due diligence, market analysis, and investment insights for institutional real estate investors, utilizing large language models and advanced quantitative analytics. By streamlining complex data processing and reducing the need for non-investment staff, Apers enhances decision-making efficiency and accelerates deal processing speed.

```xml <problem> Institutional real estate investors face challenges in efficiently processing vast amounts of data for due diligence, market analysis, and investment decisions, leading to slower deal processing and increased operational costs. Traditional methods require significant manual effort and non-investment staff, hindering the ability to quickly identify and capitalize on opportunities. </problem> <solution> Apers provides an AI-powered platform designed to automate and streamline critical workflows for institutional real estate investors. By leveraging large language models and advanced quantitative analytics, Apers automates tasks such as due diligence, market analysis, and decision support. The platform extracts and analyzes relevant internal and external information, enabling investors to quickly assess deals and make informed decisions. Apers aims to accelerate deal processing speed, reduce the need for extensive non-investment staff, and ultimately improve investment returns. </solution> <features> - Automated due diligence using large language models to improve accuracy and speed. - Advanced market analytics tools providing quantitative insights at the user's fingertips. - AI-powered decision support utilizing algorithms like Retrieval Augmented Generation (RAG). - Automated data processing and rent-roll analysis. - 24/7 availability to support real-time decision-making. </features> <target_audience> Apers primarily targets institutional real estate investors and lenders seeking to enhance their decision-making processes and improve efficiency through AI-driven automation. </target_audience> ```

What does Apers do?

Where is Apers located?

Apers is based in Cambridge, United Kingdom.

When was Apers founded?

Apers was founded in 2023.

Who founded Apers?

Apers was founded by Francis Huang.

Francis Huang - Co-Founder/AI

Location

Cambridge, United Kingdom

Founded

2023

Employees

3 employees

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Apers

Score: 30/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

apers.app 100+

Founded 2023 – Cambridge, United Kingdom

Funding

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Team (<5)

Francis Huang

Co-Founder/AI

Company Description

Problem

Institutional real estate investors face challenges in efficiently processing vast amounts of data for due diligence, market analysis, and investment decisions, leading to slower deal processing and increased operational costs. Traditional methods require significant manual effort and non-investment staff, hindering the ability to quickly identify and capitalize on opportunities.

Solution

Apers provides an AI-powered platform designed to automate and streamline critical workflows for institutional real estate investors. By leveraging large language models and advanced quantitative analytics, Apers automates tasks such as due diligence, market analysis, and decision support. The platform extracts and analyzes relevant internal and external information, enabling investors to quickly assess deals and make informed decisions. Apers aims to accelerate deal processing speed, reduce the need for extensive non-investment staff, and ultimately improve investment returns.

Features

Automated due diligence using large language models to improve accuracy and speed.

Advanced market analytics tools providing quantitative insights at the user's fingertips.

AI-powered decision support utilizing algorithms like Retrieval Augmented Generation (RAG).

Automated data processing and rent-roll analysis.

24/7 availability to support real-time decision-making.

Target Audience

Apers primarily targets institutional real estate investors and lenders seeking to enhance their decision-making processes and improve efficiency through AI-driven automation.