Automatically categorizes bank and credit card transactions into relevant accounting categories (e.g., office supplies, travel, utilities) using machine learning models trained on financial data.
Extracts key data from uploaded invoices (vendor, amount, date, line items) via OCR and AI, auto-populates accounting records, and matches them to payments.
Analyzes historical income and expense patterns to generate forward-looking cash flow projections, highlighting potential shortfalls or surpluses.
Monitors transactions in real-time to identify unusual patterns, duplicate payments, or potentially fraudulent activities based on behavioral benchmarks.
Generates comprehensive financial statements (profit & loss, balance sheets, tax summaries) and custom reports with scheduled delivery via email or dashboard.
Allows management of finances across multiple business entities or subsidiaries within a single dashboard, consolidating transactions and reports.
Small business owners use Zylo to automate daily bookkeeping tasks such as expense tracking, receipt matching, and bank reconciliation. By connecting their business accounts, they receive categorized transactions and real-time financial snapshots without manual data entry. This saves significant time, reduces errors, and ensures up-to-date records for tax season, allowing owners to focus on core operations rather than administrative finance work.
Accounting firms adopt Zylo to manage multiple client accounts efficiently. The platform aggregates client financial data, automates preliminary categorizations, and flags discrepancies for review. Accountants can provide higher-value advisory services, as routine data processing is handled by AI, leading to scalable practice growth and improved client satisfaction through faster, more accurate reporting.
Finance teams in mid-sized companies use Zylo to enforce expense policies automatically. The AI scans submitted expenses against configured rules (e.g., spending limits, approved vendors) and flags violations before reimbursement. This ensures compliance, reduces manual audit workload, and provides analytics on spending patterns to optimize policy effectiveness and control costs.
Startup founders leverage Zylo's predictive analytics to model cash flow scenarios and create financial projections for investor pitches. By analyzing burn rate and revenue trends, the tool helps anticipate funding needs and runway. Accurate, data-driven forecasts enhance credibility with investors and support strategic decision-making for growth stages.
Non-profit organizations use Zylo to track restricted funds, donations, and grant expenditures with precise categorization. The tool automates report generation for funders and ensures compliance with grant requirements. This transparency simplifies audit processes and helps maintain donor trust by clearly demonstrating how funds are utilized toward mission-driven activities.
Sign in to leave a review
15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
