About Quaisr

Quaisr develops a platform that integrates existing modeling and simulation ecosystems to create standardized, end-to-end workflows for industries such as aerospace, chemicals, and pharmaceuticals. This technology enables organizations to reduce physical experimentation, optimize resource usage, and enhance data-driven decision-making through built-in AI algorithms.

```xml <problem> Many organizations struggle to integrate disparate modeling and simulation tools into cohesive workflows, leading to data silos and hindering efficient decision-making. This lack of standardization increases the reliance on physical experimentation, wastes resources, and limits the potential for data-driven optimization. </problem> <solution> Quaisr offers a platform that connects existing modeling and simulation ecosystems, creating standardized, end-to-end workflows for industries like aerospace, chemicals, and pharmaceuticals. The platform integrates custom analyses with enterprise ERP and PLM systems, enabling users to maximize the value of their existing modeling and simulation efforts. By connecting workflows to built-in optimization and AI algorithms, Quaisr unlocks simulation-backed decision-making, reduces the need for physical experimentation, and enhances resource efficiency. The platform also provides knowledge management tools to track history, knowledge, and insights in a consistent place, and facilitates rapid no-code app creation for sharing in-house workflows across teams. </solution> <features> - Integration of existing modeling and simulation tools into end-to-end workflows - Connection of custom analyses with enterprise ERP and PLM systems - Built-in optimization and AI algorithms for simulation-backed decision-making - Knowledge management tools for tracking history, knowledge, and insights - Rapid no-code app creation for sharing in-house workflows - Enterprise deployment with access governance and usage monitoring - SOC 2 Type II compliance in accordance with AICPA standards </features> <target_audience> The primary target audience includes engineering teams in aerospace, chemicals, pharmaceuticals, and other industries who seek to operationalize solutions, maximize fleet uptime, reduce energy consumption, and optimize processes through modeling and simulation. </target_audience> ```

What does Quaisr do?

Where is Quaisr located?

Quaisr is based in London, United Kingdom.

When was Quaisr founded?

Quaisr was founded in 2020.

How much funding has Quaisr raised?

Quaisr has raised 3100000.

Location

London, United Kingdom

Founded

2020

Funding

3100000

Employees

17 employees

Major Investors

Crane Venture Partners

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Quaisr

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Executive Summary

quaisr.io 1K+

Crunchbase

Founded 2020 – London, United Kingdom

Funding

Estimated Funding

$3M+

Major Investors

Crane Venture Partners

Team (15+)

No team information available.

Company Description

Problem

Many organizations struggle to integrate disparate modeling and simulation tools into cohesive workflows, leading to data silos and hindering efficient decision-making. This lack of standardization increases the reliance on physical experimentation, wastes resources, and limits the potential for data-driven optimization.

Solution

Quaisr offers a platform that connects existing modeling and simulation ecosystems, creating standardized, end-to-end workflows for industries like aerospace, chemicals, and pharmaceuticals. The platform integrates custom analyses with enterprise ERP and PLM systems, enabling users to maximize the value of their existing modeling and simulation efforts. By connecting workflows to built-in optimization and AI algorithms, Quaisr unlocks simulation-backed decision-making, reduces the need for physical experimentation, and enhances resource efficiency. The platform also provides knowledge management tools to track history, knowledge, and insights in a consistent place, and facilitates rapid no-code app creation for sharing in-house workflows across teams.

Features

Integration of existing modeling and simulation tools into end-to-end workflows

Connection of custom analyses with enterprise ERP and PLM systems

Built-in optimization and AI algorithms for simulation-backed decision-making

Knowledge management tools for tracking history, knowledge, and insights

Rapid no-code app creation for sharing in-house workflows

Enterprise deployment with access governance and usage monitoring

SOC 2 Type II compliance in accordance with AICPA standards

Target Audience

The primary target audience includes engineering teams in aerospace, chemicals, pharmaceuticals, and other industries who seek to operationalize solutions, maximize fleet uptime, reduce energy consumption, and optimize processes through modeling and simulation.