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Elara - Financial Advisors Assistant
At Elara, we're on a mission to revolutionize wealth management by harnessing the power of AI. Our platform, Elara, is designed to empower financial advisors by automating tedious tasks, providing personalized client solutions, and fostering a vibrant community for growth and collaboration. We were inspired to create Elara after witnessing the challenges faced by advisors, who often juggle too many responsibilities and struggle to build deep, meaningful connections with their clients. Our vision aligns with insights from industry leaders like McKinsey, Accenture, and Deloitte, who have highlighted the growing need for AI-driven tools that provide actionable insights, reduce manual work, and offer hyper-personalized advice to keep clients engaged and loyal. With Elara, advisors can easily integrate our platform with their existing custodian platforms and CRMs, allowing them to interact with our AI through a simple, intuitive chat interface. We see tremendous potential in our target market, which consists of over 300,000 wealth managers in the US alone, with an annual influx of 1,600 advisors joining independent investment advisory firms. The WealthTech industry is experiencing rapid growth, with a projected value of $57 billion by 2030 and a 25% annual growth rate. At Elara, we're committed to standing out from the competition by offering a user-friendly interface, affordable tiered pricing, deep industry insight, and a strong referral network. We have a clear roadmap for success, with plans to launch a robust version of Elara in Q4 2024, followed by market entry and feature enhancements in 2025, and scaling, refining, and connecting in 2026. We've already made significant progress, having built a virtual automation feature and integrated with one of the most widely-used CRMs in the industry.
25 Mar 2024
StableCode as Database interface agent
We utilize a multi-agent setting to create a language-to-database interface. Think Code Interpreter but with multiple models that can be hosted locally or on-premise and your data never leaves your laptop. LLMs enable no-code future. Any person or business with data will be able to interact with it without any coding or hiring an engineer. We believe that the multi-agent paradigm will enable that. In our demo first layer of the system is a non-coding LLM that interacts with the user via chat, when code needs to be written, it passes the task down to StableCode, which is then executed. If there are bugs, agents iteratively fix them until the code is working. In the future agents will be able to code systems of arbitrary complexity.
25 Aug 2023
