Slide Unlocking value in your data
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Delivering leading-edge technology and data science to solve the investment industry’s critical challenges

Unlocking the power of data to make better investment decisions and improve operational efficiency.

Equipping asset managers with the edge needed to beat markets and competitors.

ABOUT US

Insig AI was formed on May 2021 by the reverse takeover of Insight Capital by the Catena Group following Insight’s three years of successful growth. Insig’s mission is to transform our clients’ competitiveness through unlocking the power of their data. We deliver products designed to adapt to and enhance investment strategies; enabling asset managers to transition to a data-centric business model, advance and scale their analytical potential and gain value, speed and strategic leverage. Our products provide “out of the box” data analytics solutions that generate explainable and transparent outputs and methodology backed by an experienced and multi-disciplined team with deep sectorial knowledge

To find out more about us, please check our Team Biographies.

ABOUT US

Insig AI was formed on May 2021 by the reverse takeover of Insight Capital by the Catena Group following Insight’s three years of successful growth and machine learning solutions delivery to the asset management industry. Our mission is to transform our clients’ competitiveness through unlocking the power of their data. Insig AI delivers products designed to adapt to and enhance investment strategies; enabling asset managers to transition to a data-centric business model, advance and scale their analytical potential and gain value, speed and strategic leverage. Our products provide “out of the box” data analytics solutions that generate explainable and transparent outputs and methodology backed by an experienced and multi-disciplined team with deep sectorial knowledge

To find out more about us, please check our Team Biographies.

PRODUCTS

Insig AI integrates software, data science and cloud computing to help asset managers make better decisions, generate value and manage their workflow more effectively. Our products can be used alone or together with other Insig AI products.

Our products allow investment professionals to get the most out of their data, through applying cutting-edge machine learning techniques, elastic database and cloud-computing technology.

Insig ESG is the market-leading platform for the aggregation and analysis of ESG company information for better and quicker responsible investment decisions and portfolio optimisation.

Going beyond a reliance on an off-the-shelf ESG rating requires vision and design, but can pay off through competitive edge and impact.

With this comes the challenge of weaving together multiple sources of ESG data in a meaningful way that can be used to support sound and transparent investment decisions.

At Insig ESG, we focus on removing the technical barriers to our clients achieving the ESG investing approach they desire.

Insig ESG offers two main solutions to enable our clients to develop and execute their ESG investing strategies. Our methodologies are fully documented, publicly disclosed and transparent, providing reassurance to clients and their stakeholders on the integrity of the evidence-based decisions.

Our Bespoke ESG Scoring applies Insig’s cloud computing and data infrastructure expertise to centralise disparate sources of ESG data, aggregating it to be modelled and integrated into an investment strategy. Our ESG domain expertise brings tailor-made and robust ESG frameworks and transparent weighting and scoring methodologies for weaving metrics together.

ESG Disclosure Scores generated from the ESG Research Tool below can also be integrated, particularly when other data is sparse such as for private or smaller companies.

Our ESG Research Tool is a platform for the efficient, versatile and thorough analysis of company disclosures. It is built on an extensive, machine-learning supported database of company reports for the past 5 years including all annual reports, ESG documents and earnings call transcripts. Advanced AI models act as a powerful tool for filtering through the noise to surface trends, understanding the direction of travel, and benchmarking against peer groups. The ability to drill down to sentence level and full transparency to source documents brings rigour to the due diligence of ESG decisions.

Insig ESG offers an extensive machine-learning enabled database of company metrics, reports, transcripts and other data.  The scoring methodology is transparent and adaptable, giving you the ability to interrogate conclusions and back up results. You can apply ESG standards or create your own individual weighting for individual components or metrics.

Insig ESG is fully documented, publicly disclosed and transparent, providing reassurance to clients as to the integrity of your ESG decisions.

Contact our team to find out more.

Insig Portfolio is our data science team in a box. It empowers you to optimise investment strategy, trading and risk management with the latest machine learning technology. Designed to enhance investment strategies and portfolio interrogation, Insig Portfolio is less expensive, quicker and easier to implement than an in-house team and our clients benefit from Insig’s proven expertise and consultancy.

Insig Portfolio provides a data-science and machine learning platform built around your investment strategy and trading data.

It enables portfolio managers to enhance trading strategies by using machine learning algorithms to analyse in-house and third-party data; you can explore and visualise data more effectively to construct effective investment strategies and optimisations.

Insig Portfolio adapts to fit your needs. Client indicators, data sets and calculations can be integrated, and automatic updates ensure the product provides updated analysis reflecting new data and delivers to your investment strategy.

  • Machine-learning enabled multi-factor exploration: Identifying key factors and trends to optimise portfolio construction.
  • Fundamental investment factors interrogation: Constructing thousands of sample portfolios to test existing and prospective investment hypotheses.
  • Decision performance attribution: Demonstrating how allocation decisions have impacted performance.
  • Factor performance attribution: Displaying key indicators of performance, based on historical analysis.
  • Strategy bias identification: Identifying unintended regional or sectoral concentration.

Insig Portfolio is offered with a core level of Insig advisory support services to ensure you get the most out of the platform.

Contact our team to find out more.

Insig Data takes data from third party providers and transforms it into a machine-readable format, allowing machine learning and analysis to be conducted on that data. It is rapidly deployed, data-agnostic and easy to implement.

Third-party data from companies such as S&P, CapIQ, Thomson Reuters, Bloomberg and FactSet must be cleaned, transformed and indexed before applying machine learning.

Historically, asset managers would need to hire data scientists to ‘clean’ and tag this data.

Insig Data enables clients to immediately harness the potential of machine learning and other data exploration techniques.

Insig Data covers a wide range of asset classes, enabling you to expand and accelerate your strategy, analysis and execution; it works with alternative sources such as residential property pricing data and social media.

Contact our team to find out more.

Insig Docs automatically extracts, stores and tags data from documents, enabling you to access, unlock and visualise large amounts of data.

Insig Docs uses best-in-class optical character recognition (OCR) and extraction technology, combined with elastic databases, to rapidly unlock the value of your data from previously inaccessible sources. Data is immediately available to other Insig applications for exploration or visualisation.

Contact our team to find out more.

Insig Exceleton converts complex Excel spreadsheets into Python code. It allows you to move beyond Excel’s limitations on scalability, automation and data connectivity, by enabling machine learning and other data analytics to be conducted on your data. The process requires zero user coding and enables the full benefits of machine learning.

Exceleton extracts values, formulas and dependencies into python, accelerating your transition to implementing machine-learning led data strategy and providing exponential growth in your analysis capabilities.

Contact our team to find out more.

PRODUCTS

Insig AI integrates software, data science and cloud computing to help asset managers make better decisions, generate value and manage their workflow more effectively. Our products can be used alone or together with other Insig AI products.

Our products allow investment professionals to get the most out of their data, through applying cutting-edge machine learning techniques, elastic database and cloud-computing technology.

Insig ESG is the market-leading platform for the aggregation and analysis of ESG company information for better and quicker responsible investment decisions and portfolio optimisation.

Going beyond a reliance on an off-the-shelf ESG rating requires vision and design, but can pay off through competitive edge and impact.

With this comes the challenge of weaving together multiple sources of ESG data in a meaningful way that can be used to support sound and transparent investment decisions.

At Insig ESG, we focus on removing the technical barriers to our clients achieving the ESG investing approach they desire.

Insig ESG offers two main solutions to enable our clients to develop and execute their ESG investing strategies. Our methodologies are fully documented, publicly disclosed and transparent, providing reassurance to clients and their stakeholders on the integrity of the evidence-based decisions.

Our Bespoke ESG Scoring applies Insig’s cloud computing and data infrastructure expertise to centralise disparate sources of ESG data, aggregating it to be modelled and integrated into an investment strategy. Our ESG domain expertise brings tailor-made and robust ESG frameworks and transparent weighting and scoring methodologies for weaving metrics together.

ESG Disclosure Scores generated from the ESG Research Tool below can also be integrated, particularly when other data is sparse such as for private or smaller companies.

Our ESG Research Tool is a platform for the efficient, versatile and thorough analysis of company disclosures. It is built on an extensive, machine-learning supported database of company reports for the past 5 years including all annual reports, ESG documents and earnings call transcripts. Advanced AI models act as a powerful tool for filtering through the noise to surface trends, understanding the direction of travel, and benchmarking against peer groups. The ability to drill down to sentence level and full transparency to source documents brings rigour to the due diligence of ESG decisions.

Insig ESG offers an extensive machine-learning enabled database of company metrics, reports, transcripts and other data.  The scoring methodology is transparent and adaptable, giving you the ability to interrogate conclusions and back up results. You can apply ESG standards or create your own individual weighting for individual components or metrics.

Insig ESG is fully documented, publicly disclosed and transparent, providing reassurance to clients as to the integrity of your ESG decisions.

Contact our team to find out more.

Insig Portfolio is our data science team in a box. It empowers you to optimise investment strategy, trading and risk management with the latest machine learning technology. Designed to enhance investment strategies and portfolio interrogation, Insig Portfolio is less expensive, quicker and easier to implement than an in-house team and our clients benefit from Insig’s proven expertise and consultancy.

Insig Portfolio provides a data-science and machine learning platform built around your investment strategy and trading data.

It enables portfolio managers to enhance trading strategies by using machine learning algorithms to analyse in-house and third-party data; you can explore and visualise data more effectively to construct effective investment strategies and optimisations.

Insig Portfolio adapts to fit your needs. Client indicators, data sets and calculations can be integrated, and automatic updates ensure the product provides updated analysis reflecting new data and delivers to your investment strategy.

  • Machine-learning enabled multi-factor exploration: Identifying key factors and trends to optimise portfolio construction.
  • Fundamental investment factors interrogation: Constructing thousands of sample portfolios to test existing and prospective investment hypotheses.
  • Decision performance attribution: Demonstrating how allocation decisions have impacted performance.
  • Factor performance attribution: Displaying key indicators of performance, based on historical analysis.
  • Strategy bias identification: Identifying unintended regional or sectoral concentration.

Contact our team to find out more.

Insig Data takes data from third party providers and transforms it into a machine-readable format, allowing machine learning and analysis to be conducted on that data. It is rapidly deployed, data-agnostic and easy to implement.

Third-party data from companies such as S&P, CapIQ, Thomson Reuters, Bloomberg and FactSet must be cleaned, transformed and indexed before applying machine learning.

Historically, asset managers would need to hire data scientists to ‘clean’ and tag this data.

Insig Data enables clients to immediately harness the potential of machine learning and other data exploration techniques.

Insig Data covers a wide range of asset classes, enabling you to expand and accelerate your strategy, analysis and execution; it works with alternative sources such as residential property pricing data and social media.

Contact our team to find out more.

Insig Docs automatically extracts, stores and tags data from documents, enabling you to access, unlock and visualise large amounts of data.

Insig Docs uses best-in-class optical character recognition (OCR) and extraction technology, combined with elastic databases, to rapidly unlock the value of your data from previously inaccessible sources. Data is immediately available to other Insig applications for exploration or visualisation.

Contact our team to find out more.

Insig Exceleton converts complex Excel spreadsheets into Python code. It allows you to move beyond Excel’s limitations on scalability, automation and data connectivity, by enabling machine learning and other data analytics to be conducted on your data. The process requires zero user coding and enables the full benefits of machine learning.

Exceleton extracts values, formulas and dependencies into python, accelerating your transition to implementing machine-learning led data strategy and providing exponential growth in your analysis capabilities.

Contact our team to find out more.

INSIGHTS

Our most recent company news and views on the wider marketplace are published below.

Insig Partners Limited (office address)
23 King Street, St. James’s
London SW1Y6QY
United Kingdom

Email: info@insg.ai

Insig AI Plc (registered address)
30 City Road
London EC1Y 2AB
United Kingdom

Insig AI Corporation
16192 Coastal Highway
Delaware 19958
United States of America

Email: info@insg.ai

For media enquiries:
SEC Newgate UK
Robin Tozer / Tom Carnegie
Tel: +44 20 3757 6767

Follow Insig-AI On Social Media

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