Product Introduction
- Tallyrus is an AI-powered document evaluation platform designed to automate bulk analysis of resumes, contracts, essays, and other files using customizable criteria. It replaces manual screening by enabling users to upload thousands of documents and generate standardized scores, tags, and summaries in seconds.
- The core value of Tallyrus lies in its ability to transform inconsistent, time-consuming document reviews into auditable, AI-driven workflows that ensure objective evaluations while reducing human error and operational costs.
Main Features
- Tallyrus employs advanced AI algorithms to analyze documents with human-level accuracy, interpreting context, extracting key information, and applying user-defined evaluation frameworks such as safety ratings, technology classifications, or improvement categories.
- Users create custom evaluators by defining criteria (e.g., scoring scales for "Safety" or dropdowns for "Type of Tech"), which the platform applies uniformly across all documents, ensuring standardized results for scenarios like vendor screening or grant applications.
- The platform processes hundreds of files in seconds using parallel computing architecture, delivering organized results in filterable tables with export options, while maintaining audit trails for compliance and team collaboration.
Problems Solved
- Tallyrus eliminates inefficiencies in manual document review processes, which often involve disjointed workflows, subjective judgments, and hours spent on repetitive tasks like resume shortlisting or contract risk detection.
- It serves teams across HR, education, legal, and compliance sectors that require scalable, consistent evaluations, such as hiring managers screening candidates or educators grading student submissions.
- Typical use cases include automated scoring of invention disclosures (e.g., classifying "Quantum Sock Sorter" patents), flagging risky clauses in legal contracts, or prioritizing grant applications based on predefined sustainability metrics.
Unique Advantages
- Unlike generic document analyzers, Tallyrus combines granular rubric customization (e.g., 10-point safety scales, multi-choice tags) with AI contextual understanding, enabling precise alignment with industry-specific evaluation standards.
- The platform innovates with auditable result trails and team collaboration tools, ensuring transparency in high-stakes scenarios like compliance checks or vendor risk assessments, where traceability is critical.
- Competitive strengths include support for unlimited document types (PDF, DOCX, etc.), parallel processing for enterprise-scale workloads, and prebuilt rubric templates for common workflows like K-12 essay grading.
Frequently Asked Questions (FAQ)
- What is an evaluator? An evaluator is a customizable framework defining scoring rules, tags, and criteria (e.g., "Safety" ratings or "Type of Tech" dropdowns) that Tallyrus applies automatically to analyze documents consistently.
- How fast is the evaluation? Tallyrus processes hundreds of documents in seconds using distributed cloud computing, with benchmarks showing 500-page analyses completed in under 30 seconds.
- What file types are supported? The platform supports PDF, DOCX, TXT, and image files, with OCR capabilities for scanned documents and compatibility with cloud storage integrations like Google Drive.