A financial reasoning engine, you can trust

Aim Plans seeks to build a next-generation  intelligence platform built around agentic AI, score-driven reasoning, and strategy automation. The system integrates structured and unstructured data to produce interpretable, dynamic market views and autonomous decision-making agents. It targets high-value use cases in asset management, advisory, and quant-driven investment ecosystems.

== Vision

To create a real-time, agent-powered trading infrastructure that enables institutional and advisory clients to:

• Build and execute strategies using hybrid rule-ML logic
• Reason across macroeconomic, sentiment, technical, and fundamental data
• Track score evolution, forecast regime changes, and self-calibrate signal models
• Maintain explainability, auditability, and human alignment at scale

== Key Features

• Agentic Reasoning Engine: Modular AI agents operate in multi-step workflows with contextual memory and score-based decision arbitration
• Score DAG (Directed Acyclic Graph): A multi-timeframe, multi-perspective scoring model that fuses signals into composite market views (e.g., bull/bear state)
• Strategy Builder: Visual and DSL-based builder for human- or model-defined trading logic
• Forecasting & Validation: Score forecasting engine to anticipate market shifts and track signal accuracy over time
• Sentiment Engine: Real-time NLP pipeline for earnings, macroeconomic, political, and financial news parsing
• Configuration & Extensibility: YAML/JSON configuration infrastructure with full versioning and API exposure
• Execution Layer: Multi-broker routing, position monitoring, backtesting integration

== Target Market

• Buy-Side Firms: Hedge funds, asset managers, and systematic desks seeking hybrid strategies with real-time adaptability
• Fintech Platforms: White-labeled strategy builder, agent engine, and score API for robo-advisors or trading apps
• Registered Investment Advisors (RIAs): Visual strategy interface, explainable logic, and sentiment dashboards
• Sell-Side / Research Teams: Scenario-based reasoning over macro and earnings inputs; shareable forecast models