Hyperlinear offers AI‑driven agents that continuously operate across a financial firm’s existing systems to automate high‑risk workflows such as trade reconciliation and regulatory filings. The agents automatically resolve high‑confidence exceptions, surface ambiguous items for human review with full context and recommended actions, and log every decision for audit‑ready traceability, allowing compliance teams to retain final approval while reducing manual effort and error rates.
Funding
Funding not disclosed
Founders
Product
Problem
Financial services firms must repeatedly perform complex, high‑stakes workflows such as trade reconciliation and regulatory filings (e.g., Form PF, ADV, 13F). These processes involve manual data gathering across multiple systems, are error‑prone, and require extensive human oversight, leading to operational risk and missed deadlines.
Solution
Hyperlinear provides AI‑driven agents that operate continuously across a firm’s existing systems to automate reconciliation, compliance, and reporting tasks. The agents interpret regulatory requirements, pull and validate data from disparate sources, and execute multi‑step workflows with built‑in human‑in‑the‑loop controls. High‑confidence exceptions are resolved automatically, while low‑confidence or high‑risk items are surfaced with full context and recommended actions for review. Every decision and data point is logged for traceability, enabling compliance teams to retain final approval authority while reducing manual effort and error rates.
Target Audience
Primary customers are asset managers, hedge funds, and banks that need to automate trade reconciliation, regulatory reporting, and other compliance‑heavy financial workflows.
Features
- Autonomous AI agents that execute long‑running, multi‑system financial workflows without needing legacy software modifications
- Real‑time reconciliation with automatic resolution of high‑confidence breaks and escalation of ambiguous exceptions
- Regulatory filing automation that maps evolving requirements to applicable sections, populates forms, and validates data across systems
- Human‑in‑the‑loop review interface presenting full context, recommended actions, and audit‑ready documentation for each decision
- End‑to‑end traceability of data lineage and decision logs to satisfy compliance and audit standards
- Scalable architecture designed for large‑scale financial operations and high‑volume data processing