Smarter.Codes

Smarter.codes is a company that develops software and automation solutions for enterprise use. The organisation provides digital automation, data processing and software systems designed to interact with web content, user interfaces and natural language. Operations are presented through internet-scale projects such as large-scale web crawling and automation of desktop and web applications, indicating work across multiple regions via online services and web-based deployments.

Services and capabilities

• Natural language processing systems: development of systems that parse and extract structured information from text, for example extracting ingredient information from labels.
• Web crawling and data extraction: large-scale crawlers and parsers to collect business website data, including extraction of office locations and other structured details from millions of pages.
• Robotic Process Automation (RPA): automation of repetitive tasks within software interfaces, such as assisting users to complete lengthy forms for real estate workflows.
• No-code/low-code tools: visual builders and drag-and-drop interfaces for creating chatbots and other workflow automations, exemplified by a hybrid chatbot builder.
• Data analytics and processing pipelines: systems to aggregate, clean and prepare crawled or extracted data for downstream use.
• Integration and deployment: delivery of end-to-end solutions that integrate crawled data, NLP outputs and automation into existing software environments.

Industry focus

• Retail and consumer goods: text analysis of product labels to extract ingredient and specification information.
• Real estate: automation of form completion and workflow steps via RPA for property-related processes.
• Business information and directories: large-scale web crawling projects to locate office addresses and business contact information.
• Customer service and support: production of chatbot builders and conversational automation tools for handling user interactions.

Technology and delivery approach

• Integration of data sources: combining web-crawled content, extracted text and structured databases to produce usable datasets.
• Automation across UI and backend: deploying RPA bots that interact with software interfaces as well as backend automation components.
• Use of NLP and machine learning: applying natural language processing to understand and structure textual inputs such as labels and web content.
• Scalable crawling and processing pipelines: building systems capable of crawling large numbers of websites and processing the resulting data at scale.
• No-code deployment options: delivering visual tools that enable non-developers to configure chatbots and some automations, alongside programmatic integrations for developers.