Contact RobertAdler@amgkernel.com -- American Model Generator - Bid Wanted
Users must be customers of an NASD brokerage to Train any LLM Researching Unexplored 30+ years of True Investor Sentiment Data and Interactive Analytics in the AMG Kernel. Code - Available in a private GitHub repository or Lovable Cloud for appended downloads to Train LLM with the continuous Fund Flow data your broker is already receiving from LSEG along with their Holdings data. The list of Fiduciaries below are users of this information.
Scope -> Advise/Consult/Prompt/License Established Data + Analytics dedicated team to license developed code and training products
........or - Seed Resources for Business Founding indications of interest:
The system uses the Model Context Protocol to host a private MCP server of market data that maximizes cache efficiency (reduce costs) in front of an LLM request. The outcome is to transform a simple non-reasoning dual-vector kernel of EDGAR filings into a powerful agentic orchestrator, that anchors and extends reasoning capabilities in MCP client LLM's without redesigning a core model, like Gemini, Claude, ChatGPT, Perplexity....
Interactive dashboard controls facilitate opportunities to research shared questions and common understandings between the Fiduciary and Customer that are always fixated on their shared tangible form of expression: Trusted numerically reconciled values to anchor and extend a continuous learning awareness of how intentional sentiment is changing.
Demo: Prototype dashboard visualization templates to train unique LLM signals using continuous market data overlays of changing regulated values and sentiment.
Founding research and equity offering extends to Regulated Information Customers who purchased Open-end Fund Flow and Securities Ownership data, and renewed subscriptions to the information during the 2010 sale of AMG Data Services to Thomson Reuters (now LSEG):
Bank of America
Goldman Sachs
Renaissance Technologies
Fidelity Management & Research
Barclays Capital
JP Morgan Chase
Daiwa
Citigroup
Credit Suisse
Leuthold Weeden
Viking Global
UBS
SG Americas
Thomas Weisel Partners
Standard & Poor's
Relevant:
NASDAQ - Membership
Newscorp - Text & Fox
AWS - Cloud Data Services
Lyft/Uber (Rideshare model for less regulated and non-Financial dimensional templates)
....