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Rose

Mastery in Data Discovery and Visualisation for Financial Professionals.

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Overview

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Rose AI is an intuitive, robust data solution platform purpose-built for financial analysts and decision-makers. It tackles the challenges of data integration, warehousing, and visualisation by providing a unified space that simplifies data discovery, analysis, and visualisation while maintaining strict data integrity. Founded by investors and data scientists, Rose AI leverages advanced language models, Natural Language Processing (NLP), and Large Language Models (LLMs) for a seamless transition between human-language queries and insightful visual outputs. Every data point is explainable and traceable, cultivating confidence and reliability throughout your data journey. With modern data infrastructure and low/no-code workflows, Rose AI empowers users to effortlessly find, explore, and even monetise critical information assets.

How It Works

  • Ask a Question: Use natural language with Rose AI's NLP/LLMs to query your data intuitively and receive precise, relevant results.
  • Analyze & Visualise Data: Transform raw data into engaging narratives using dynamic visualisation tools, making complex datasets accessible and insightful.
  • Audit Logic: Always understand the origin and rationale behind your insights with full transparency and traceability.
  • Institutional Solutions Pathway:
    • Step 1: Scoping (<1 month) — Consult with stakeholders to understand needs and challenges.
    • Step 2: Discover and Deliver Insights (~1 month) — Identify pressing questions and visualise answers rapidly.
    • Step 3: Solution Design & Implementation (1-3 months) — Tailor solutions to address institutional requirements.
    • Step 4: Comprehensive Documentation (3 months) — Full audit, dashboards, data cleaning, and a data dictionary.
    • Step 5 (Optional): Build or train a data team (Ongoing) — Support talent acquisition or upskill existing teams.

Use Cases

Financial Analysis & Decision Making
Empower analysts and decision-makers to discover, visualise, and analyse complex financial data for more effective, trusted decisions.
Investment Process Optimisation
Optimise investment research with low/no-code data infrastructure, improving efficiency and research accuracy.
Automating Analyst Workflows
Reduce manual work and automate data integration, analysis, and visualisation, enabling analysts to focus on higher-value activities.

Features & Benefits

  • Logic Trees for traceable data insights
  • Dynamic Data Visualisation (line charts, heatmaps, etc.)
  • Seamless Collaboration with workspace sharing
  • Comprehensive Data Analysis with 100+ built-in transformations
  • Diverse Data Sources connectivity
  • Intuitive Data Discovery using advanced NLP and LLMs
  • Deep Investment Insight with conceptual framing
  • Structured Mathematical Logic for digestible analysis
  • Seamless Data Connectivity to databases and analytics tools
  • Clear and Cohesive Written & Visual Narratives
  • Time-Saving by automating integration, warehousing, and visualisation
  • Cost-Effective data management processes
  • Expert Partnership from hedge fund professionals
  • Bespoke Datasets tailored for user needs
  • Data Monetisation via secure marketplace

Target Audience

  • Financial Analysts
  • Decision-Makers in Finance
  • Financial Institutions
  • Investors
  • Data Scientists
  • Hedge Fund Analysts
  • Consultants
  • Organisations seeking easy data discovery, visualisation, and analysis
  • Businesses wanting to monetise their data

Pricing

  • Rose AI offers paid plans and custom institutional solutions.
  • For detailed pricing and enterprise options, contact Rose AI directly.

FAQs

What is Rose AI?

Rose AI is an intuitive platform designed for financial analysts and decision-makers. It integrates advanced language models to enable seamless data discovery, analysis, and visualisation with clear traceability.

How does Rose AI simplify data analysis?

Rose AI allows natural language questions via advanced NLP and LLMs, auto-generates visual insights, and provides traceable logic for all data points, with over 100 built-in data transformations.

What types of data can I interact with on Rose AI?

Users can interact with provided datasets or upload custom data. Supported data types include timeseries (date-value pairs) and map/table formats.

How do I apply transformations to data in Rose AI?

Transform data by entering "rosecode:transformation_name" and optional parameters in code modules (e.g., GDP:yoy for year-over-year change).

Can Rose AI integrate with my existing data sources?

Yes. Rose AI integrates with a broad range of data sources, vendors, and analytical tools for comprehensive analysis.

Who is Rose AI designed for?

Rose AI is crafted for financial analysts, decision-makers, financial institutions, consultants, and organisations looking to enhance data-driven decision making or monetise their data.

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