Left Right Mind

Left Right Mind builds Augmented IQ, an AI platform designed for business intelligence that combines document and data analysis with a human-in-the-loop workflow. Based in India, the company offers consulting-led pilots rather than DIY implementations, coupling the platform with a decade of consulting experience. The source material references partnerships with Sinequa, AWS, and Salesforce, and notes that pilots built through strategic partnerships were 2x as likely to reach full deployment as those built internally.

Services and capabilities

Augmented IQ centers on three interconnected capabilities. Its document intelligence layer uses retrieval-augmented generation (RAG) to let users query documents directly, with smart OCR for analyzing scanned or offline contracts. Responses include explainable AI with citations and data source previews. The data intelligence piece offers natural language querying of data ecosystems, AI-powered visualizations, trend detection, and SQL extraction—allowing teams to generate reports without repeated AI compute costs. Custom connectors built by Left Right Mind's consulting team integrate with existing data infrastructure.

The platform's knowledge management layer creates what the company calls a Knowledge Fabric, connecting siloed data and systems. A built-in Content Curator agent generates knowledge articles shaped by employee feedback. Crucially, Left Right Mind embeds a human-in-the-loop workflow, with subject matter experts able to approve and validate AI outputs before they go live.

Left Right Mind positions this as distinct from off-the-shelf GenAI tools. The company collaborates with stakeholders to discover, design, develop, and deploy the platform for specific use cases. Deployment occurs on private cloud infrastructure within the enterprise, maintaining security and compliance with existing access controls. The platform uses a built-in content cache agent and composable architecture to reduce token usage and ownership costs.

How they work

Left Right Mind runs consulting-led pilots rather than transactional engagements. The process involves discovering your use case, designing a solution, developing it on your infrastructure, and deploying it. Pricing and engagement duration are not disclosed in the source material, though the company mentions optimizing for budget through token reduction and architecture choices. Deployment on private cloud suggests longer sales cycles and enterprise-focused engagement.