Marc Benjamin Steiner

Capital Markets | Fixed Income | Investment Professional | FinTech

๐Ÿ“ United Kingdom๐Ÿ”„ Updated September 2026๐Ÿ’ผ 1 investments๐Ÿ“… 5 years investing๐Ÿ—“ Last invested May 2021
Angel investor๐ŸŒ United Kingdom
1
Total investments
0
Early stage
1
Mid stage
0
Late stage
5y
Years active

Portfolio

1 investments ยท sorted by recency
All investments
Early stage
Mid stage
Late stage
Strategic Advisor | Board Member | Investor
May 2021
Intellibonds is an AI-driven platform tailored for banks and institutional fixed income investors seeking to enhance investment operations and alpha generation. Our platform offers two core products, Credit Assist and Portfolio Assist, complemented by a suite of predictive data solutions. Credit Assist primarily centers on credit risk predictions and the augmentation of credit analyst workflows through advanced AI integration. On the other hand, Portfolio Assist empowers portfolio managers with bespoke trade ideas, facilitates portfolio construction and rebalancing, and employs algorithmic monitoring for individual holdings. Additionally, our supplementary predictive data products feature a spectrum of multi-algorithmic models designed to expedite and refine investment decision-making. Leveraging a diverse range of data sources, including company fundamentals, bond pricing, market news, market-implied ratings, and CDS levels, among others, our platform excels at signal detection at both issuer and security levels. Key Benefits of Intellibonds: Superior Investment Returns: Our proprietary bond scoring engine identifies bonds poised for superior or inferior performance in the near term, empowering you to optimize portfolio returns while mitigating potential losses. Loss Mitigation: Through our sophisticated credit risk prediction engine, Intellibonds provides early warnings concerning potential credit deteriorations within your holdings. This proactive approach helps mitigate losses and averts reactive forced selling scenarios. Cost Optimization: By consolidating multiple datasets and automating repetitive tasks, our platform streamlines fixed income investment decisions. This optimization leads to significant cost savings of 20-30% across data, system, and labour expenses, enhancing overall operational efficiency.
Experience ยท 1 entries
All (1)
Investments (1)
2021
Strategic Advisor | Board Member | Investor
May 2021
Intellibonds is an AI-driven platform tailored for banks and institutional fixed income investors seeking to enhance investment operations and alpha generation. Our platform offers two core products, Credit Assist and Portfolio Assist, complemented by a suite of predictive data solutions. Credit Assist primarily centers on credit risk predictions and the augmentation of credit analyst workflows through advanced AI integration. On the other hand, Portfolio Assist empowers portfolio managers with bespoke trade ideas, facilitates portfolio construction and rebalancing, and employs algorithmic monitoring for individual holdings. Additionally, our supplementary predictive data products feature a spectrum of multi-algorithmic models designed to expedite and refine investment decision-making. Leveraging a diverse range of data sources, including company fundamentals, bond pricing, market news, market-implied ratings, and CDS levels, among others, our platform excels at signal detection at both issuer and security levels. Key Benefits of Intellibonds: Superior Investment Returns: Our proprietary bond scoring engine identifies bonds poised for superior or inferior performance in the near term, empowering you to optimize portfolio returns while mitigating potential losses. Loss Mitigation: Through our sophisticated credit risk prediction engine, Intellibonds provides early warnings concerning potential credit deteriorations within your holdings. This proactive approach helps mitigate losses and averts reactive forced selling scenarios. Cost Optimization: By consolidating multiple datasets and automating repetitive tasks, our platform streamlines fixed income investment decisions. This optimization leads to significant cost savings of 20-30% across data, system, and labour expenses, enhancing overall operational efficiency.