About Langware.ai

nLangware is developing Flowpad, a knowledge orchestration engine that automates database updates, allowing technology teams to focus on product development. This solution reduces the time spent on manual ticket updates, enhancing operational efficiency and enabling teams to leverage AI for improved decision-making.

```xml <problem> Technology teams spend significant time on manual database updates and ticket management, diverting resources from core product development. This reliance on manual processes leads to inefficiencies, delays, and hinders the ability to leverage data effectively for informed decision-making. </problem> <solution> nLangware's Flowpad is a knowledge orchestration engine designed to automate database updates and streamline workflows for technology teams. By automating the process of updating databases, Flowpad reduces the need for manual intervention, freeing up engineers to focus on higher-value tasks such as product innovation. The platform integrates with existing systems to provide a centralized view of data, enabling teams to make data-driven decisions more efficiently. Flowpad's automation capabilities enhance operational efficiency, reduce errors, and accelerate the development lifecycle. </solution> <features> - Automated database updates triggered by events or scheduled intervals - Integration with popular ticketing systems (e.g., Jira, ServiceNow) for seamless workflow management - Centralized knowledge repository for storing and accessing critical data - Customizable rules engine for defining automation logic - Real-time monitoring and reporting dashboards for tracking performance - AI-powered insights and recommendations for optimizing workflows </features> <target_audience> The primary target audience includes software development teams, IT operations departments, and DevOps engineers seeking to automate database management and improve operational efficiency. </target_audience> ```

What does Langware.ai do?

Where is Langware.ai located?

Langware.ai is based in Tel Aviv, Israel.

When was Langware.ai founded?

Langware.ai was founded in 2024.

Who founded Langware.ai?

Langware.ai was founded by Eran Shlomo.

Eran Shlomo - CEO

Location

Tel Aviv, Israel

Founded

2024

Employees

5 employees

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Langware.ai

Score: 88/100

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

Executive Summary

langware.ai 500+

Founded 2024 – Tel Aviv, Israel

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (5+)

Gadi Tunes

VP R&D

Eran Shlomo

CEO

Company Description

Problem

Technology teams spend significant time on manual database updates and ticket management, diverting resources from core product development. This reliance on manual processes leads to inefficiencies, delays, and hinders the ability to leverage data effectively for informed decision-making.

Solution

nLangware's Flowpad is a knowledge orchestration engine designed to automate database updates and streamline workflows for technology teams. By automating the process of updating databases, Flowpad reduces the need for manual intervention, freeing up engineers to focus on higher-value tasks such as product innovation. The platform integrates with existing systems to provide a centralized view of data, enabling teams to make data-driven decisions more efficiently. Flowpad's automation capabilities enhance operational efficiency, reduce errors, and accelerate the development lifecycle.

Features

Automated database updates triggered by events or scheduled intervals

Integration with popular ticketing systems (e.g., Jira, ServiceNow) for seamless workflow management

Centralized knowledge repository for storing and accessing critical data

Customizable rules engine for defining automation logic

Real-time monitoring and reporting dashboards for tracking performance

AI-powered insights and recommendations for optimizing workflows

Target Audience

The primary target audience includes software development teams, IT operations departments, and DevOps engineers seeking to automate database management and improve operational efficiency.