Search results for Lensa

Stop relying on outdated reports. Our AI-powered platform delivers real-time intelligence that empowers smarter, faster decisions across credit, compliance, and risk.

Lens is warehouse software for liquidators, bin stores and multichannel resellers. As your team hand-sorts mixed pallets, it tells them which bin each item goes in. AI fills in the product data before review, and approved items list to Amazon, eBay, Walmart, Target and other marketplaces from one place, synced with your WMS. Mixed pallets are where reseller margins get lost. Every item has to be identified, sorted, checked and listed, and most teams do it with spreadsheets, sticky notes and several marketplace tabs open at once. Lens turns that intake into one guided workflow: - Guided sorting. When someone on the floor picks up an item, Lens tells them which temporary bin it goes in. New hires sort correctly from day one, and every item has a known location from the moment it comes off the pallet. - Bin review with AI-filled data. Sorted bins go to a review stage, where Lens has already filled in titles, attributes and other listing fields. Your team checks and approves the data instead of typing it from scratch. - Central marketplace listing. Approved products sit in one catalog and sync out to Amazon, eBay, Walmart, Target and other marketplaces, so nobody has to re-enter the same item on every channel. WMS sync. Lens connects to your warehouse management system so inventory and locations stay consistent. You don’t need a WMS to start. Lens handles all kinds of inventory, not just returns: overstock, liquidation loads, shelf pulls and mixed lots. It works for an operation processing a few pallets a week and for a warehouse running conveyor lines. Key features: - Directed bin sorting for hand-sorted pallets - Temporary bin and location management - AI-prefilled product data - Bin-level review and data-integrity checks - Centralized product catalog - Multichannel marketplace listing (Amazon, eBay, Walmart, Target, more) - WMS integration - Support for mixed, commingled and liquidation inventory

IAM Posture™ is an enterprise diagnostic engine that provides vendor-neutral posture assessment and Zero Trust maturity scoring. The LENS™ Assessment maps architectures directly against NIST 800-207 and CISA maturity models to identify security gaps and misconfigurations before vendor procurement.

Let our team of designers, developers, and artists help build and market your business from the ground up

LANSA's Rapid Application Modernization Process (RAMP) is the solution for legacy system modernization that addresses both your immediate tactical needs and strategic long-term modernization requirements. RAMP is a reengineering tool that lets you rapidly consolidate your 5250 applications into a graphical application framework to create composite applications. You can then incrementally replace your 5250 programs with new components in a timeframe that makes sense to your organization.

For 30 years, LANSA Professional Services has delivered thousands of enterprise-grade software applications to its clients. We can rapidly design and develop a single app, or guide organizations through a complete ROI-justified digital transformation.

We have re-imagined and transformed how patients connect to your practice with a unique experience. Think of us as another member of your team, we'll handle the overflow of phone calls by booking appointments, triaging repeat prescriptions requests... and so much more!

L3NS.ai is an AI Product Marketer designed to grow Disruptive World-Changing Products from Zero to 1M+ users, saving founders 100+ hours per week.

Stacksmith enables application packaging and automated continuous maintenance for multiple clouds. Stacksmith’s application-centric approach emphasizes the orchestration of applications and associated processes, instead of an infrastructure-centric approach which looks at the world through the lens of machines to which software is connected. Stacksmith delivers monitoring, notifications, and a simple updating process that relieves operational burden, while minimizing the impact of addressing security vulnerabilities. Stacksmith’s uniform process of building containers and VM images enables easy deployment on multiple clouds.

SearchBlox Search Server is an advanced enterprise search solution that leverages artificial intelligence to index and analyze data from over 300 sources, delivering highly relevant search results swiftly. Designed for sectors like government, finance, and healthcare, it enhances data accessibility and operational efficiency. Key Features and Functionality: - AI-Driven Search: Utilizes machine learning models to personalize search results, adapting to user queries and content for improved relevance. - Comprehensive Data Integration: Supports indexing from a wide array of data sources, including websites, intranets, emails, and social media platforms. - SearchAI Modules: Offers specialized tools such as PreText NLP for automatic metadata generation, SmartSuggest for intelligent autocomplete, SmartFAQs for relevant Q&A extraction, ChatBot for automated customer support, SmartSynonyms for contextually relevant term generation, and SemanticLens for understanding user intent beyond keywords. - Robust Security: Ensures data protection and compliance with regulations like GDPR, HIPAA, and ISO through encryption, authentication, and monitoring. - Analytics and Insights: Provides real-time reporting on user behavior and search performance to refine strategies and enhance user experience. Primary Value and User Solutions: SearchBlox Search Server addresses the challenge of managing and retrieving information from vast and complex datasets. By delivering precise and personalized search results, it empowers organizations to make informed decisions, improve customer experiences, and maintain compliance with data protection standards. Its AI-driven approach reduces manual effort in data management, enhances operational efficiency, and ensures users have quick access to the information they need.

The Moody’s Analytics CreditLens platform helps financial institutions make better commercial lending decisions, with increased speed and efficiency.

Smart Mobile Software Empowering Dental Insurance, Dental Plans and Health Plans

Document Lens is an advanced tool designed to recognize and extract entities from text files in PDF, DOCX, and TXT formats. Utilizing a scalable Natural Language Processing (NLP pipeline, it efficiently retrieves entities from multi-domain knowledge graphs or datasets accessible via SPARQL endpoints. This capability enables users to transform unstructured documents into structured, actionable data, facilitating seamless integration into various data processing workflows. Key Features and Functionality: - Entity Recognition and Extraction: Identifies and extracts entities from text documents, converting unstructured data into structured formats. - Multi-Format Support: Processes documents in PDF, DOCX, and TXT formats, ensuring versatility across different document types. - Scalable NLP Pipeline: Employs a robust NLP pipeline that can be configured to retrieve entities from diverse knowledge graphs or datasets via SPARQL endpoints. - Configurable Options: Offers a range of configurable settings, allowing users to tailor the tool to specific requirements and data sources. - Integration Capabilities: Designed to function as part of a larger end-to-end system, integrating seamlessly with other data processing tools and workflows. Primary Value and Problem Solved: Document Lens addresses the challenge of extracting meaningful information from unstructured text documents. By automating the recognition and extraction of entities, it significantly reduces the time and effort required for manual data processing. This automation enhances data accuracy and consistency, enabling organizations to efficiently integrate valuable information into their data ecosystems. As a result, users can make more informed decisions, streamline operations, and unlock insights from previously inaccessible data sources.

SQL Lens is a lightweight, highly scalable, and platform-agnostic tool designed to automate the transformation of data from SQL databases into RDF1.1 or Labelled Property Graph CSV formats. It ensures full compatibility with Amazon Neptune and other common graph databases, facilitating seamless data integration and analysis. Key Features and Functionality: - Automated Data Transformation: Converts SQL database data into RDF1.1 or LPG CSV formats, streamlining the process of integrating relational data into graph structures. - Provenance Tracking: Includes provenance information by default, providing transparency and traceability of data transformations. - Semantic Web Standards Support: Adheres to W3C Semantic Web Standards, including RDF1.1 and SPARQL1.1, ensuring interoperability and compliance with industry norms. - Platform Agnostic: Designed to be lightweight and highly scalable, supporting various graph databases without being tied to a specific platform. Primary Value and User Solutions: SQL Lens addresses the challenge of integrating relational database data into graph-based systems by providing an automated, standards-compliant transformation process. This enables organizations to leverage the advantages of graph databases, such as enhanced data relationships and advanced analytics, without the need for manual data conversion. By supporting provenance tracking and adhering to established semantic web standards, SQL Lens ensures data integrity and facilitates seamless integration with existing systems, thereby accelerating the adoption of graph technologies in data-driven environments.

RESTful Lens is a lightweight, highly scalable tool designed to transform data from RESTful API responses into RDF 1.1-compliant N-QUADS format, facilitating seamless integration with knowledge graphs. By automating this conversion process, RESTful Lens enables organizations to efficiently structure and utilize their data within semantic web frameworks. Key Features and Functionality: - Automated Data Transformation: Converts RESTful API response data into RDF 1.1 N-QUADS format, streamlining the integration process with knowledge graphs. - Provenance Tracking: Includes provenance information by default, ensuring data traceability and reliability. - Standards Compliance: Supports W3C Semantic Web Standards, including RDF 1.1 and SPARQL 1.1, promoting interoperability across various platforms. - Amazon Neptune Compatibility: Fully compatible with Amazon Neptune, allowing for seamless deployment within AWS environments. - Platform Agnostic: Designed to operate across different platforms, providing flexibility in deployment options. Primary Value and User Solutions: RESTful Lens addresses the challenge of integrating unstructured RESTful API data into structured knowledge graphs. By automating the transformation process and adhering to established semantic web standards, it enables organizations to enhance data interoperability, improve data quality, and facilitate advanced analytics. This solution is particularly beneficial for businesses seeking to leverage their API data within semantic frameworks without extensive manual processing.

Create a computer vision AI project with a trusted company. Solve problems with Landing AI's cloud-based computer vision software platform LandingLens.

BizEE Software Ltd is a UK company making software to help businesses and other organizations save energy.

FarmLens is a NDVI software platform for monitoring crop health and supporting precision decisions in the field.

Decision Lens is a cloud-based software that enables a comprehensive business process for strategically identifying, prioritizing, analyzing, and measuring which investments, projects, and resources will deliver the highest returns.