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Tech Tuesday: AI-driven Financial Analysis tools 

In an era where data drives decision-making, AI-driven financial analysis tools are revolutionizing how financial professionals process information and forecast trends.

These tools leverage advanced technologies like machine learning and natural language processing to provide deeper insights, enhance predictive accuracy, and streamline operations. Here are the top five AI-driven financial analysis tools leading this transformation.

This week on Tech Tuesday, we dive into the world of AI-Driven Financial Analysis tools for small and medium-sized enterprises (SMEs).

OneStream Software Sensible Machine Learning (ML)

OneStream Sensible ML is OneStream Software’s AI forecasting solution, tailor-made for enterprise performance management and purpose-built for finance teams. With ML models built directly on top of OneStream’s unified data and proprietary financial intelligence, Sensible ML seamlessly integrates with customers’ existing planning processes and addresses key factors to help teams accurately analyse and forecast business insights, at-scale, and at-speed.

Finance teams are empowered to create their own ML-backed forecasts across the entire enterprise – from data ingestion and quality analysis to model building and utilisation. Its Model Arena offering also incorporates external factors – such as weather and macroeconomic trends, into forecasts. OneStream Sensible ML was released for general availability in February 2023, and has been implemented globally by customers across manufacturing, retail, and logistics services sectors.

Diversiview by LENSELL

Diversiview is a unique portfolio analysis and optimisation tool developed by LENSELL, an Australian FinTech company founded by Dr. Laura Rusu in 2020. Diversiview democratises access to state-of-the-art investment portfolio analytics and

optimisation tools. Based on the principles of Modern Portfolio Theory and using advanced mathematical algorithms and AI technologies, Diversiview allows users to get:

  • Key insight into portfolios’ expected performance.
  • A visualisation of thousands of potential portfolio risk-return positions.
  • Fast ways to calculate efficient allocations that maximise the return expectations.
  • A view of the granular diversification at investment level.
  • Access to strategy backtesting, benchmarking and forecasting.


  • Overview: AlphaSense uses AI and NLP to sift through vast amounts of financial data, including earnings call transcripts, SEC filings, news, and research reports.
  • Features: Advanced search functionality, sentiment analysis, trend identification, and comprehensive data coverage.
  • Benefits: Helps financial analysts make informed decisions by providing real-time insights and reducing research time.


  • Overview: Kavout leverages machine learning to analyze market data and generate predictive analytics.
  • Features: Kai Score (a proprietary stock ranking system), portfolio management tools, and algorithmic trading strategies.
  • Benefits: Enhances investment strategies by identifying potential market opportunities and risks.


  • Overview: Numerai is a hedge fund that crowdsources predictions from data scientists around the world, using AI to manage a global equity long/short strategy.
  • Features: Encrypted data sets, a tournament platform for model submissions, and a proprietary metamodel.
  • Benefits: Integrates diverse predictive models to improve investment returns and reduce risk.


  • Overview: DataRobot automates the creation of machine learning models for financial analysis and decision-making.
  • Features: Automated machine learning (AutoML), time series forecasting, and model interpretability tools.
  • Benefits: Streamlines the model-building process, enabling financial analysts to quickly deploy and understand predictive models.

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Yajush Gupta

Yajush Gupta

Yajush is a journalist at Dynamic Business. He previously worked with Reuters as a business correspondent and holds a postgrad degree in print journalism.

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