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Comment · 6 months ago
No, the title says that air traffic systems have been upgraded, not that the software controls air traffic.
Comment · 6 months ago
Enterprise software startup, DesignVerse, whose platform has helped to modernize Europe's air traffic systems has raised more than $5.5 million in seed funding.
DesignVerse is an AI-based platform that builds and delivers complex enterprise software using an organization’s own documentation and internal rules, ensuring every system is built consistently across teams.
DesignVerse was founded by Andrei Manolache, ex-Oracle product design lead for the Redwood design system used across that company’s enterprise software products, and Robert Dragutoiu, a leading software engineer with more than two decades of experience building complex systems, including advanced self-driving automotive software and AI-driven engineering platforms.
DesignVerse technology has already been adopted by a range of mission-critical organizations, including EUROCONTROL, which is responsible for coordinating air traffic across Europe - overhauling a 15-year old application in just over a month as opposed to the estimated six months it would have taken using conventional methods.
Using AI, DesignVerse technology allows teams to modernize operational software far faster than traditional development processes and is designed for organizations running complex legacy systems, including banks, cybersecurity platforms, and government infrastructure.
In less than five months, the company - headquartered in Bucharest, Romania, with employees across Europe - has exceeded $1.1 million in annual recurring revenue, driven entirely by enterprise customers from highly sensitive sectors.
The platform grounds its AI models in each customer’s design systems, component libraries and technical documentation, allowing software to be generated in line with the company’s existing or target architecture as well as existing or target front-end or back-end technologies.
Andrei Manolache, CEO of DesignVerse, said: “Large organizations lose enormous amounts of time translating design work into production software. Designers create intent, but engineers must manually reinterpret and rebuild it, which leads to inconsistency and delays.
“DesignVerse removes that friction, allowing teams to generate functional enterprise applications directly from their design systems, validating the behavior instantly with business stakeholders and bridging the gap between.”
The DesignVerse approach allows enterprise teams to ship digital products up to five times faster while reducing the manual work and multiple interactions typically required to translate design concepts into production software.
EUROCONTROL said: “DesignVerse, through its AI platform, has supported us in modernizing our software systems at an accelerated pace, without compromising the reliability, safety and security that remain the highest priority for our sector. We value such partnerships that contribute to our efforts to drive innovation and leverage AI at scale across the European aviation ecosystem, and ultimately improve the quality of air travel for the entire community.”
The new seed investment announced today will allow DesignVerse to expand its engineering team and accelerate growth across the enterprise sector, both in Europe and the US.
Robert Dragutoiu, Chief Technology Officer said “Many AI coding tools available today are designed primarily for experimentation or rapid prototyping.
“Our technology builds a system-level context layer from each customer’s design systems, component libraries, and technical documentation, enabling software to be produced seamlessly in alignment with existing architecture and engineering standards, without months of custom integrations.”
Manolache points out: “Organisations running critical infrastructure cannot rely on vibe coding tools. They need software that is reliable, auditable, and built around their existing systems.
“That’s exactly the type of environment for which DesignVerse was designed.”
Comment · 5 years ago
Developers and data scientists invited to use open-source FairLens to focus on data bias solutions
August 9th, 2021
PRESS RELEASE
Synthesized, the leading all-in-one DataOps platform, has today released the world’s first data centric open-source library for identifying data bias and driving fairness in decision-making.
FairLens is an open-source Python library which allows data scientists to automatically discover hidden biases and measure fairness in data.
FairLens is instantly accessible and available in GitHub where Python developers can integrate FairLens into their workflow, collaborate or help develop new features.
Denis Borovikov, co-founder and chief technology officer at Synthesized, said: “The goal of FairLens is to enable data practitioners to gain a deeper understanding of their data, and to help ensure fair and ethical use of data in analysis and data science tasks.
“FairLens is a mathematical framework that we have developed as a starting point for discovering data bias. Synthesized is now calling on developers to get involved to expand ways in which bias and fairness can be tackled and potentially enhance and improve FairLens”.
Nicolai Baldin, co-founder and chief executive of Synthesized said: “Many data science models rely on biased and skewed datasets. What we have created, with FairLens, is a way to highlight the data bias so it’s easily discovered and visualised. While data bias is still a taboo subject for many companies and industries, what FairLens enables is a behind-the-scenes discovery of data bias, which can then be mitigated.”
“With the help of the developer and data science communities, and our machine learning technology, we can build and enhance FairLens collectively, driving adoption across organisations and communities and by doing so, we hope to make a valuable impact on society.”
Synthesized’s package provides multiple metrics to measure biases across a range of protected characteristics such as age, race, sex and other groupings. With limited, poor-quality or skewed datasets; data-driven applications often fail to achieve their intended purpose as they are inherently biased.
FairLens can be tried in Synthesized’s SDK Colab alongside other platform functionalities. It comes with core features which allow users to:
Measure bias - FairLens can be used to measure the extent and significance of biases in datasets using a wide range of metrics Identify sensitive attributes - Data Scientists can automatically identify and flag sensitive columns and hidden correlations between columns to protect sensitive attributes Visualise bias - For example visualize the distribution of a variable with respect to different sensitive demographics, or a correlation heat-map. Score fairness - Data Scientists can highlight hidden biases and correlations within a dataset by selecting a target variable
ENDS
For further information or interviews, please contact:
Tim Reid Media, PR and communications consultant 07720 414205
Email: [email protected]