About 1000 Kelvin

1000Kelvin's AMAIZE software utilizes AI-driven printability analysis, automatic build preparation, and exposure strategy optimization to enhance the efficiency of additive manufacturing processes. This solution enables companies to reduce production costs and time while ensuring high-quality output and first-time-right results.

```xml <problem> Laser powder bed fusion (LPBF) metal 3D printing requires precise control and optimization to balance cost, quality, and efficiency. Inadequate print preparation can lead to defects, increased material waste, and higher production costs. </problem> <solution> AMAIZE from 1000 Kelvin is an AI-powered software suite designed to optimize the additive manufacturing workflow, from design validation to build preparation and execution. The platform uses AI-driven printability analysis to identify potential issues like overheating, shrink lines, and distortion before printing. It also provides automatic build preparation, including part orientation, nesting, and support generation, based on thermal physics predictions. Furthermore, AMAIZE offers an exposure strategy optimizer that predicts and corrects thermal issues to improve print quality and prevent defects, ensuring first-time-right results. </solution> <features> - AI-driven printability checker to assess design risks such as overheating and distortion - Cost estimator for accurate production cost prediction and quote generation - Automatic build preparation with AI-based thermal physics predictions for optimal part orientation, nesting, and support generation - Exposure strategy optimizer to predict and correct thermal issues, improving print quality - Automated support generation - Predictive thermal analysis </features> <target_audience> The primary target audience includes companies using laser powder bed fusion (LPBF) metal 3D printing for production, as well as design engineers and manufacturing professionals seeking to optimize their additive manufacturing processes. </target_audience> ```

What does 1000 Kelvin do?

Where is 1000 Kelvin located?

1000 Kelvin is based in Germany.

When was 1000 Kelvin founded?

1000 Kelvin was founded in 2022.

How much funding has 1000 Kelvin raised?

1000 Kelvin has raised 3000000.

Location

Germany

Founded

2022

Funding

3000000

Employees

16 employees

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1000 Kelvin

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Executive Summary

1000kelvin.com 1K+

Crunchbase

Founded 2022 – Germany

Funding

Estimated Funding

$3M+

Team (15+)

No team information available.

Company Description

Problem

Laser powder bed fusion (LPBF) metal 3D printing requires precise control and optimization to balance cost, quality, and efficiency. Inadequate print preparation can lead to defects, increased material waste, and higher production costs.

Solution

AMAIZE from 1000 Kelvin is an AI-powered software suite designed to optimize the additive manufacturing workflow, from design validation to build preparation and execution. The platform uses AI-driven printability analysis to identify potential issues like overheating, shrink lines, and distortion before printing. It also provides automatic build preparation, including part orientation, nesting, and support generation, based on thermal physics predictions. Furthermore, AMAIZE offers an exposure strategy optimizer that predicts and corrects thermal issues to improve print quality and prevent defects, ensuring first-time-right results.

Features

AI-driven printability checker to assess design risks such as overheating and distortion

Cost estimator for accurate production cost prediction and quote generation

Automatic build preparation with AI-based thermal physics predictions for optimal part orientation, nesting, and support generation

Exposure strategy optimizer to predict and correct thermal issues, improving print quality

Automated support generation

Predictive thermal analysis

Target Audience

The primary target audience includes companies using laser powder bed fusion (LPBF) metal 3D printing for production, as well as design engineers and manufacturing professionals seeking to optimize their additive manufacturing processes.