Pre-Trained Models
Hyperbots Payments Co-pilot, pre-trained on millions of documents like W-9 forms and contracts, ensures quick integration and high accuracy in identity verification.
Key Features
Extensive pre-training
The co-pilot is pre-trained on millions of statements and checks, making it highly robust and adaptable to diverse formats.
Document and format agnosticism
Recognizes and processes checks and statements of any layout, size, or format without requiring custom templates.
Quick integration
Pre-training ensures the Co-pilot is operational from day one, significantly reducing onboarding implementation time for businesses.
Core IP from rigorous experimentation
The platform's capabilities are the result of extensive experimentation, optimizing AI models for payment reconciliation with exceptional scalability and accuracy.
High verification accuracy
Leveraging its vast training data, the Co-pilot achieves near-perfect accuracy in extracting fields like amount, invoice number, vendor name from narrations
Adaptability across industries
Its training dataset spans vendor onboarding use cases from multiple industries, enabling the Co-pilot to cater to diverse regulatory and operational needs.
10%
Cash outflow
Co-pilot optimizes payment timings and methods, analysing
payment terms, discounts, penalties and, cost of capital
Vendor satisfaction
Vendors have higher satisfaction as they know real-time status of invoice processing and payments
Auditability
Human Errors
Approvals
Reconciliations & Other KPIs
VALUE PROPOSITION
Why Hyperbots Payments
Co-Pilot?
Hyperbots Payments Co-pilot automates payment processing with features like timing recommendations, approval workflows, and multi-method support (ACH, checks, wire transfers), ensuring secure, efficient, and compliant financial operations.
Before and After Hyperbots Payments Co-Pilot
FAQs: Pre-Trained Models
What makes the Payment Co-pilot operational from day one?
The Co-pilot is pre-trained on millions of documents, enabling quick deployment and seamless integration without extensive customization.
Can the Co-pilot handle various document formats?
Yes, the Co-pilot is document and format agnostic, efficiently processing structured forms, free-form scanned documents, and other layouts without requiring custom templates.
How accurate is the Co-pilot in vendor identity verification?
The Co-pilot achieves near-perfect accuracy by leveraging its vast training data
Is the Co-pilot adaptable to specific industry requirements?
Absolutely, the Co-pilot is trained on diverse datasets, enabling it to meet industry-specific needs.
What are the advantages of pre-training for businesses?
Pre-training significantly reduces implementation time, allowing businesses to quickly onboard vendors and eliminate manual validation efforts.
What is the core technology behind the Co-pilot’s capabilities?
The Co-pilot’s performance is powered by Hyperbots’ Agentic AI platform, refined through rigorous experimentation to deliver exceptional scalability, accuracy, and adaptability.
Why Hyperbots Agentic AI Platform?
Finance specific
Hyperbots Agentic AI platform specializes exclusively in finance and accounting intelligence, leveraging millions of data points from invoices, statements, contracts, and other financial documents. No other platform has such large pretrained models on F&A data.
Best-in-class accuracy
Hyperbots achieves 99.8% accuracy in converting unstructured data to structured fields through a multimodal MOE model integrating LLMs, VLMs, and layout models. With contextual validation and augmentations, the platform ensures 100% accuracy for deployed agents.
Synthesis of unstructured and strutured finance data
Hyperbots agents emulate finance professionals to autonomously perform F&A tasks by reading and writing data like COA, expenses, and vendor masters from core accounting systems and integrating it with unstructured data from financial documents such as invoices, POs, and contracts.
Pre-trained agents with state of the art models
Hyperbots' Agentic platform, pre-trained on millions of financial documents like invoices, bills, statements, and contracts, ensures seamless integration, high accuracy, and adaptability to any accounting content, form, layout, or size from day one.
Company specific inference time learning
Hyperbots' Agentic platform employs state-of-the-art Auto ML pipelines with techniques like reinforcement learning to enable inference-time learning for tasks such as GL recommendation and cash outflow forecasting, ensuring continuous improvement and adaptability.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!