FopsAI
FopsAI provides an Agent-as-a-Service platform that deploys AI agents to manage the full data lifecycle for financial reconciliation and regulatory reporting. The platform uses conversational AI configuration, universal data ingestion with AI document extraction, and a three-pillar match engine combining exact, fuzzy, and AI semantic matching. It is built for regulated financial institutions such as banks, asset managers, and fund administrators.
- Financial Technology
- AI Agents
- Artificial Intelligence
- Regulatory & Compliance Technology
- Software Only
Funding
Raised to date
$120KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Regulated financial institutions face significant operational burdens in managing data across reconciliation and regulatory reporting workflows. Manual processes for ingesting, transforming, matching, and reporting data are time-consuming, error-prone, and difficult to scale, while legacy systems lack the flexibility to handle diverse data formats and complex matching logic.
Solution
FopsAI provides an Agent-as-a-Service platform that deploys AI agents to own the entire data lifecycle—from ingesting and transforming raw files to matching, resolving breaks, and delivering audit-ready regulatory reports. The platform uses conversational AI configuration, allowing users to describe workflows in natural language while the agent auto-detects schemas and generates reconciliation rules. Universal data ingestion handles any file format, with AI document extraction (IDP) converting scanned PDFs and unstructured documents into structured data, supported by 50+ built-in transform operators. A three-pillar match engine combines exact, fuzzy, and AI semantic matching to handle everything from straightforward matches to complex residual cases across all asset classes. Every decision is traceable through Glass Box reasoning, ensuring deterministic governance and auditability for compliance purposes.
Target Audience
Primary customers are regulated financial institutions, including banks, asset managers, and fund administrators that need to manage reconciliations and regulatory reporting across equities, fixed income, derivatives, and fund administration.
Features
- Conversational AI configuration that auto-detects data schemas and generates reconciliation rules from natural language
- Universal data ingestion supporting CSV, Excel, TXT, JSON, XML, plus AI document extraction (IDP) for scanned PDFs and images beyond traditional OCR
- Multi-channel intake via file, email, and SFTP with 50+ built-in transform operators requiring no pre-defined templates
- Three-pillar match engine combining exact matching (handles 60–80% instantly), fuzzy logic for formatting noise, and AI semantic matching for complex residuals
- Glass Box reasoning providing full traceability of every decision with deterministic governance
- Scalable engine architecture designed for enterprise-grade financial operations