AI strategy and engineering for enterprise teams
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AI strategy and engineering for enterprise teams
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Minnow designs and builds reliable web, data, and backend systems using proven engineering practices and modern cloud platforms.
Minnow evaluates AI opportunities, defines roadmaps, and helps business and engineering teams choose practical use cases that can be delivered responsibly.
Minnow builds AI-enabled tools that help teams review documents, automate routine work, and turn messy information into dependable business data.
LLM- and ML-assisted extraction, validation, and review workflows for regulatory filings, finance operations, and other complex documents.
AI capabilities integrated with established product, data, cloud, governance, and control systems rather than isolated prototypes.
Analytics, search, ETL, and structured-data platforms using Python, TypeScript, Java, PostgreSQL, Elasticsearch, and AWS.
Minnow Software was founded by Jacob Beard in 2013 as a technology consultancy serving startups, Fortune 100 companies, and teams in healthcare, entertainment, finance, and apparel. Today, Minnow focuses on AI strategy and AI engineering for organizations that need more than a demo: they need durable systems that fit their data, controls, workflows, and operating model.
Jacob brings more than 15 years of experience across enterprise software, regulated financial systems, cloud platforms, document processing, and data products. Recent consulting work includes evaluating generative-AI use cases, building document-intelligence workflows, extracting validated structured data from complex public filings, and integrating AI capabilities into established enterprise applications.
Minnow is strongest where strategy and implementation have to move together: use-case discovery, architecture, prototype validation, production delivery, stakeholder alignment, and the practical tradeoffs required to make AI useful inside real organizations.
