Pre-Trained Models
Hyperbots Sales Tax Verification Co-pilot, pre-trained on millions of vendor documents like line items and addresses, ensures quick integration and high accuracy in identity verification.
Key Features
Extensive pre-training
Hyperbots' Sales Tax Verification Co-pilot, built on the Agentic AI platform, is pre-trained on millions of line items and addresses, tax categories ensuring quick integration, high accuracy, and adaptability to various documents and data formats from day one of going live.
Document and format agnosticism
Recognizes and processes invoice documents 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 line items and addresses.
High verification accuracy
Leveraging its vast training data, the co-pilot achieves near-perfect accuracy in validating fields.
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.
Sales tax compliance
Co-pilot verifies applicable sales tax for every invoice and line item automatically
Tax underpayment
Co-pilots acts as a preventive methods against over or under charged sale tax by vendors
Auditability
Human Errors
Reputation
VALUE PROPOSITION
Why Hyperbots Sales
Tax-Verification Co-Pilot?
Hyperbots Sales Tax Verification Co-pilot automates tax validation for invoices, leveraging AI to ensure compliance with regional tax laws and eliminating errors, reducing manual effort and financial risks.
Before and After Hyperbots Sales Tax Verification Co-Pilot
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FAQs: Pre-Trained Models
What makes the Sales Tax Verification Co-pilot operational from day one?
The Co-pilot is pre-trained on millions of tax regulations and invoices, enabling quick deployment and seamless integration without extensive customization.
Can the Sales Tax Verification Co-pilot handle various tax document formats?
Yes, the Co-pilot is document and format agnostic, efficiently processing structured tax forms, free-form scanned documents, and other layouts without requiring custom templates.
How accurate is the Co-pilot in tax verification?
The Co-pilot achieves near-perfect accuracy by leveraging its vast training data to validate tax IDs, tax rates, and jurisdiction details with exceptional reliability.
Is the Sales Tax Verification Co-pilot adaptable to specific industry tax requirements?
Absolutely, the Co-pilot is trained on diverse datasets, enabling it to meet industry-specific tax compliance needs, such as healthcare tax exemptions or manufacturing tax certifications.
What are the advantages of pre-training for businesses using the Co-pilot?
Pre-training significantly reduces implementation time, allowing businesses to quickly start accurate tax verification and eliminate manual validation efforts.
What is the core technology behind the Sales Tax Verification 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 in tax verification.
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.