Super V2

Product Introduction

1. Super V2 is an AI-powered enterprise search and workflow automation platform designed to deliver accurate answers and generate reports from company data across integrated tools. It combines semantic search, structured data retrieval, and AI orchestration to provide unified access to organizational knowledge.
2. The core value lies in its 2x higher accuracy than competitors and 40% faster performance compared to its predecessor, achieved through an advanced orchestration engine that retrieves, ranks, and composes data from multiple sources while enforcing permissions.

Main Features

1. The platform executes step-by-step query plans involving retrieval from 30+ integrated tools like Slack, Jira, and Google Drive, then ranks results using contextual signals like document freshness and user permissions.
2. It supports hybrid search capabilities, combining semantic understanding of unstructured data (documents, tickets) with structured queries on tables/dashboards, delivering answers with cited sources including titles, snippets, and timestamps.
3. Permission-aware outputs inherit access controls from original systems, ensuring users only see data they’re authorized to view, with full audit logs of retrieval paths and ranking decisions.

Problems Solved

1. It eliminates time wasted on manual data hunting across disconnected tools, reducing internal queries by 90% and RFP completion time from hours to 30 seconds through automated brief generation.
2. The product serves fast-moving teams in sales, support, engineering, and operations where documentation lags behind rapid operational changes and cross-tool data correlation is critical.
3. Typical scenarios include sales reps auto-generating pricing sheets with live CRM data, support agents resolving tickets using historical resolutions, and engineers tracing incidents through linked PRs/deploys.

Unique Advantages

1. Unlike Perplexity or Glean, Super V2 uniquely combines workflow automation with search, enabling users to not only find information but also trigger actions like auto-filling RFPs or generating compliance reports.
2. The orchestration engine introduces configurable retrieval pipelines that can prioritize specific data sources per query type, such as prioritizing Confluence pages for policy questions versus Jira tickets for incident resolution.
3. Competitive differentiation comes from SOC 2 Type II/HIPAA compliance, granular permission mirroring from source systems, and measurable ROI through tracked query deflection rates and hours saved per workflow.

Frequently Asked Questions (FAQ)

1. What data sources does Super V2 support? The platform integrates with 30+ enterprise tools including Slack, Jira, Confluence, Google Drive, and custom sources via API/Zapier, while maintaining native permission structures from each system.
2. How does Super ensure data security? All data processing complies with SOC 2 Type II and HIPAA standards, with encrypted transmissions, permission inheritance at query time, and optional on-premises deployment for sensitive datasets.
3. Can teams customize the AI workflows? Users can build custom retrieval pipelines through the Assistants Library, configuring source prioritization, output formats, and approval steps while maintaining audit trails of all AI-generated content.
4. What makes Super V2 more accurate than competitors? The orchestration engine uses multi-stage verification comparing results across structured/unstructured sources, with explainable ranking scores based on document authority and temporal relevance.
5. How does permission handling work? Access controls sync directly from integrated tools, ensuring answers only surface documents/channels/issues the user already has permissions to view in the original platforms.