Blackstraw AI

Blackstraw AI builds artificial intelligence and data systems for enterprises and works with them from planning through to scaled deployment. Its stated approach is to strategise, build and scale. The firm identifies the use cases where AI will pay off, implements and integrates the systems, and then monitors cost and performance so that results can be improved over time.

Intelligent document processing for regulated industries

The document automation combines computer vision with natural language processing to classify documents and extract their key values and entities without manual review. The material it works on includes forms, financial documents and legal papers. The company says its solutions are built to integrate with existing document management and robotic process automation systems. The sectors it names for this work are mortgage lending, banking, healthcare, courts and government bodies.

Language AI for unstructured text

Much of an enterprise's data is free text, such as emails, specifications, contracts and customer feedback. Blackstraw's language work turns that text into structured intelligence and enables automated conversations with customers, employees and leaders through conversational AI. Natural language generation is used to draft summaries and contract documents, and speech and text synthesis are used to simulate human conversation.

Agentic AI for legacy code and order processing

The firm's agentic AI work covers autonomous agents that collaborate, learn and scale enterprise modernisation, including the migration of legacy code. One case study reports that agentic automation made one client's order processing 85 per cent faster. Its intelligent automation work is cognitive, meaning it automates business processes with artificial intelligence rather than replacing a single task.

Data platforms for analytics and retail

The enterprise data platform work provides a modern data foundation for analytics and automation. A retail project unifies data across the business and supplies real-time insights. The firm also offers an enterprise generative AI platform, which it presents as a way for companies to put generative AI to work on their own data.

Invoice and tax document extraction

Named projects include a deep learning solution that extracts invoice details for a multinational logistics company, and a deep learning tool with auto-labelling and optical character recognition that automates data extraction for a global VAT refund and compliance company. Intelligent document extraction is also applied to finance operations for a global provider of financial services technology.

Use cases, strategy and monitoring

The firm starts each engagement by identifying AI use cases and defining a strategy for the business. Its implementation work focuses on integration and on a deployment that runs smoothly, and the monitoring that follows watches cost and performance so that the business gets the outcomes it set out to achieve.