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LeapGen AI Solutions for the Public Sector

Surround AI

Surround Ai Problem Statement: 

Government IT and HR departments face increasing pressure to provide scalable, reliable support and information dissemination without proportional increases in staff. How can agencies rapidly deploy customizable, AI-powered conversational solutions to enhance internal efficiencies and employee engagement on a secure Platform?

  • Surround AI is a next-gen conversational AI platform built to automate enterprise workflows and enhance user engagement.
  • It supports virtual assistants that deliver contextual insights with natural language understanding, knowledge graphs, and document processing.

Core Capabilities

  • Multilingual & Voice Capabilities: Supports global users via text and voice channels
  • Cloud-Native Architecture: Secure, scalable deployments via Azure and GCP
  • Custom AI Workflows: No-code tools to build domain-specific automations
  • Real-Time Triage & Routing: Escalation with full context and audit trails
  • Continuous Learning: Synthetic data + feedback loops for better conversation quality

Data Coffee

Data Coffee Ai Problem Statement:

Government agencies struggle to securely unify and derive actionable insights from vast, sensitive data, often hindering the full potential of AI and large language models. How can businesses transform fragmented information into a compliant, intelligent data foundation that seamlessly powers advanced analytics and AI-driven initiatives?

  • Data Coffee is a secure data governance and transformation platform engineered for regulated industries such as healthcare, finance, and AI development. It consolidates fragmented data, enables privacy-safe collaboration, and empowers AI and analytics with compliant, high-quality datasets.

Core Capabilities:

  • Tokenization & Anonymization: Real-time masking of PII/PHI with cross-referenceable tokens
  • Synthetic Data Generation: Privacy-safe datasets mimicking real data for QA and AI training
  • Data Consolidation: Combines structured/unstructured data across EHRs, CRMs, APIs
  • Structured Data Indexing: Converts raw input into clean, queryable, governed datasets
  • Audit-Ready Governance: Full data lineage, access logging, and governance dashboards