Automated Solutions to Reduce Risk and Optimize Yield
Utilizing machine learning, Generative AI, and workflow automation tools to expedite the execution of complex, manual, time-consuming asset management tasks while guaranteeing compliance and quality control
A Leap Forward in Business Intelligence
Our adoption strategy from Data Management to Operational Automation
Democratizing Access
Chatbot Agents that serve as domain-knowledge and data experts, allowing users to query the database and research material through a plain language, conversational interface
ETL & Visualization
Agents that streamline the ingestion, transformation, management, and visualization of massive and disparate datasets
Advanced Analytics
Agents that analyze portfolio data to derive and communicate novel, actionable insights
Data Validations
Agents to extract key data, write and execute data-to-data and docs-to-data validations for due diligence, compliance, tokenization, etc.
Automated Operations
Agents to perform various operational tasks, such as legal reviews, doc prep & filing, process oversight, finance & accounting functions, etc.
A New Era in AI
Large language models (LLMs), advanced computer models designed to understand and generate human-like text, are revolutionizing how we interact with data by mimicking human reasoning and communication.
Artificial Intelligence (AI), a computer science field focused on creating processes to perform tasks that typically require human intelligence, is converging with LLMs, enabling the development of sophisticated routines through plain language non-technical instructions and moving the boundaries of what’s possible,
Rocktop is aggressively pursuing the development and integration of these tools, or “Generative AI Agents,” across the platform.
AI Building Blocks
Rocktop uses Generative AI to build the best asset, the best asset management process and ultimately, achieve Alpha through best execution. Specifically, we deploy AI agents to enhance data ingestion, transformation, validation and to ensure accessibility, completeness and reliability. In certain circumstances, we use it to streamline integrations with legacy systems and with blockchain partners to ensure asset immutability, transparency and compliance. To optimize asset processing, it’s used to connect to workflow engines, generate reports, documents and other work products as well as analyze interactions with outside partners and service providers.
The Blocks We Have to Build Things
The systems, tools, and analytics in our environment that can be configured into a Solutions-as-a-Service
The Things We Choose to Build
Revenue
Cost/Efficiency
Enterprise Value
Applications within our AI solution set include a Microservices Engine, predictive Data Mapper, proscriptive Analytics, a lexical Question Responder, automated Web Scraper, natural language SQL Agent, and Content Summarizer combined into bespoke configurations.
