Table of Contents
Overview
In today’s data-rich enterprise environment, finding precise answers and building comprehensive reports quickly remains a significant challenge for organizations. Super represents an innovative AI-powered search and workflow platform designed to revolutionize how companies interact with their internal knowledge. Super delivers the most accurate way to extract insights from company data, boasting an impressive 2x accuracy improvement over competitors and a 40% speed enhancement from its previous version. With its advanced orchestration engine, Super empowers organizations to find answers and generate automated workflows from data across their entire ecosystem in seconds, transforming enterprise knowledge management and information discovery.
Key Features
Super delivers powerful capabilities designed to provide unparalleled accuracy and speed in data retrieval, analysis, and workflow automation.
2x Accuracy Improvement Over Competitors: Super distinguishes itself by delivering answers twice as accurate as leading competitors and 2.3x more accurate than its first version, ensuring reliable and trustworthy insights for critical decision-making.
40% Faster Than Previous Version: Experience significantly enhanced performance with Super V2, allowing users to retrieve information and build automated workflows at accelerated pace, saving valuable time across the organization.
Advanced Orchestration Engine: At its core, Super features a sophisticated orchestration engine capable of processing complex queries and seamlessly integrating data from diverse sources across your organization, enabling multi-step workflow automation.
Unified Cross-Organizational Search: Break down data silos with Super’s ability to connect and access information from various departments and systems throughout your entire enterprise, providing a single source of truth.
Automated Workflow Creation: Generate workflows that automate repetitive tasks, from data retrieval to report generation, with pre-set orchestrated searches that eliminate manual information gathering.
Rapid Answer Retrieval: Receive the information you need precisely when you need it. Super is engineered for speed, providing quick and direct answers to pressing business questions by analyzing connected sources in real-time.
Enterprise-Grade Integrations: Built for large organization demands, Super offers robust and secure connections to 20+ enterprise data sources including Slack, Google Drive, Notion, Confluence, Slite, SharePoint, Asana, Jira, Linear, GitHub, and Attio, with API and Zapier support for custom sources.
Web Companion Browser Extension: Access Super’s AI capabilities directly in your browser on any webpage, combining team knowledge with web content to answer questions contextually without switching applications.
Ready-to-Use AI Assistants: Deploy pre-configured AI assistants tailored to specific tools and workflows, accessible across your team with one-click activation for common business tasks.
Permission-Aware Search: Maintains existing access controls across all connected systems, ensuring users only see information they’re authorized to access while providing comprehensive search capabilities.
Natural Language Queries: Ask questions in plain English and receive intelligent, context-aware responses synthesized from multiple data sources rather than simple keyword-matched results.
How It Works
Super’s sophisticated architecture makes accessing and analyzing company data remarkably straightforward and efficient through an intelligent, unified approach.
First, Super integrates with various company data sources spread across your organization, including communication platforms, document repositories, project management tools, and code repositories, creating a unified knowledge landscape. Once connected, its advanced orchestration engine processes user queries with remarkable intelligence, understanding context and intent rather than just keywords. The AI then retrieves and analyzes relevant data from all integrated sources in real-time, ensuring comprehensive understanding without requiring pre-indexing or data duplication.
Super generates accurate answers and enables workflow automation, delivering results in seconds directly to users through its web interface, browser extension, or embedded assistants. The platform continuously learns from user interactions to improve relevance and accuracy over time. Unlike traditional enterprise search requiring data indexing, Super maintains security by accessing data through live API calls, ensuring information is always current while respecting permission structures.
Use Cases
Super’s capabilities make it invaluable across multiple business functions, driving efficiency and informed decision-making throughout organizations.
Enterprise Knowledge Management: Centralize and make accessible all company knowledge, allowing employees to quickly find information, best practices, policies, and procedures across all connected systems.
Executive Decision Support: Provide leaders with rapid, accurate insights synthesized from multiple sources to inform strategic decisions and respond to market changes effectively.
Cross-Functional Reporting: Generate integrated reports that pull data from various departments and tools, offering holistic views of organizational performance without manual data compilation.
Strategic Analysis: Conduct in-depth analysis of market trends, internal performance, competitive landscapes, and customer feedback to formulate robust business strategies.
Data-Driven Planning: Base business plans and initiatives on concrete data and insights gathered from across the organization, moving away from guesswork toward informed foresight.
Company-Wide Research: Empower employees across all levels to conduct thorough research on any internal topic by asking natural language questions and receiving synthesized answers.
Rapid Information Retrieval: Instantly access specific pieces of information or data points from Slack conversations, Jira tickets, Google Docs, GitHub repositories, or any connected source.
New Employee Onboarding: Accelerate onboarding by providing new hires with instant access to company knowledge, enabling them to find answers independently without constantly asking colleagues.
Customer Support Enhancement: Enable support teams to quickly find relevant product information, troubleshooting guides, and historical context from multiple sources to resolve customer issues faster.
Engineering Productivity: Help developers find code examples, technical documentation, API references, and past architectural decisions across GitHub, Confluence, Slack, and Linear.
Sales Enablement: Provide sales teams with instant access to product details, pricing information, competitive intelligence, and successful pitch examples from across company systems.
Pricing
Super offers transparent, flexible pricing designed to accommodate organizations requiring enterprise-level search and workflow capabilities.
Core Plan: \$15 per user per month, requires minimum of 10 licenses. Includes Super AI search across all connected tools, natural language queries, permission-aware results, web companion browser extension, ready-to-use AI assistants, and approximately 100 questions per user per month from shared token pool.
Enterprise Plan: Custom pricing for large organizations requiring dedicated account management, priority support, enhanced token allowances, increased data storage limits beyond 1GB per paid seat, custom integrations, and advanced security features.
Pilot Program: Available through white-glove onboarding offering 3 weeks of unlimited access to Super, dedicated setup support for data source configuration, mid-pilot check-in for feedback and technical needs assessment, and end-of-pilot evaluation. Requires discovery call to ensure proper fit and setup before beginning trial.
Combined Offering with Slite: For teams also using Slite knowledge base, combined packages available that include both Super AI search and Slite’s documentation platform, providing integrated knowledge management and AI-powered search in single subscription.
Note: Each paid user shares from organization’s combined monthly token pool. Storage limit for indexed data is 1GB per paid seat shared across entire organization. Contact sales when approaching limits to adjust plan accordingly.
Pros and Cons
Understanding both strengths and limitations provides clarity for informed decision-making about enterprise search investments.
Advantages
Industry-Leading Accuracy: Provides answers that are 2x more accurate than closest competitors and 2.3x more accurate than Super V1, minimizing errors in critical decision-making and ensuring reliable information.
Significantly Faster Performance: Delivers insights and enables workflows 40% quicker than previous version, boosting productivity, responsiveness, and reducing time wasted searching for information.
Comprehensive Organizational Data Access: Breaks down data silos effectively, allowing unified search across 20+ enterprise tools for holistic view of information across entire enterprise.
Rapid Insights and Workflow Automation: Enables users to get answers and automate workflows in seconds rather than hours, accelerating research cycles and eliminating repetitive manual tasks.
Permission-Aware Security: Maintains existing access controls from source systems, ensuring users only see authorized information while enabling comprehensive search capabilities.
No Data Duplication Required: Uses real-time API calls rather than indexing, enhancing security by not storing duplicate copies of sensitive data while ensuring information freshness.
Disadvantages
Minimum Seat Requirement: Core plan requires 10-license minimum, which may be prohibitive for very small teams or individual users seeking enterprise search capabilities.
Token-Based Usage Limits: Approximately 100 questions per user per month from shared pool may be insufficient for power users or teams with high query volumes, requiring Enterprise plan upgrades.
Storage Limitations: 1GB indexed data storage per paid seat shared across organization may require careful management for enterprises with extensive documentation needs.
Learning Curve for Complex Workflows: While basic search is intuitive, building sophisticated automated workflows and leveraging advanced orchestration may require training and practice.
Setup Time for Large Enterprises: While onboarding is streamlined, large organizations with numerous diverse data sources and complex permission structures may require dedicated implementation time.
How Does It Compare?
The enterprise search and knowledge management landscape in 2025 features diverse sophisticated solutions, each with distinct strengths and positioning. Understanding Super V2’s differentiation requires examining specific competitors and their approaches.
Glean
Glean provides powerful AI-powered enterprise search with its proprietary Enterprise Graph technology connecting people, data, and processes. It offers integration with 100+ applications, personalized search results, code intelligence for technical teams, and third-generation AI Assistant capabilities. Glean emphasizes semantic understanding and continuous learning from user interactions.
Super V2 differentiates through its claimed 2x accuracy advantage over competitors, 40% faster performance, and workflow automation capabilities through its orchestration engine. While Glean excels at personalization and code intelligence, Super positions itself as more accurate in answer retrieval with stronger emphasis on automated workflow creation rather than just search. Super’s real-time API approach versus Glean’s indexing methodology offers different security and freshness tradeoffs.
Guru
Guru functions as AI source of truth with knowledge cards, verification workflows, expert assignments, and deep integrations with Slack, Salesforce, Microsoft Teams, and browser extensions. It emphasizes content verification to maintain accuracy, proactive knowledge surfacing based on context, and collaboration features for content creation and curation.
Super distinguishes itself through comprehensive multi-source search and orchestration rather than Guru’s card-based knowledge management approach. While Guru excels at structured knowledge curation with verification workflows, Super provides broader automated search across all connected tools without requiring manual card creation. Super’s workflow automation capabilities extend beyond Guru’s primary focus on knowledge capture and distribution.
Coveo
Coveo delivers AI-Relevance platform focused on commerce, service, website, and workplace search with powerful machine learning for personalization, generative AI-powered answers, extensive platform integrations including Salesforce, ServiceNow, SAP, and Adobe, and sophisticated analytics for content optimization and gap identification.
Super differentiates through its emphasis on internal enterprise search and workflow automation rather than Coveo’s broader focus across customer-facing commerce and service experiences. While Coveo excels at personalized product discovery and customer self-service, Super specializes in internal knowledge work and cross-functional data access. Super’s orchestration engine for workflow automation provides capabilities beyond Coveo’s primarily search-focused offering.
Dashworks (Acquired by HubSpot April 2025)
Dashworks pioneered real-time API-based enterprise search without traditional indexing, offering zero-data retention security model, instant setup with no sync required, agentic search with live data retrieval, and integration with major workplace tools. In April 2025, HubSpot acquired Dashworks to enhance its Breeze AI capabilities.
Super shares Dashworks’ philosophy around real-time search and security but adds significant workflow automation and orchestration capabilities. Both emphasize accuracy and security, but Super’s 2x accuracy claim positions it as more precise. The Dashworks acquisition by HubSpot shifts its focus toward HubSpot ecosystem integration, while Super remains independent platform serving broader enterprise needs. Super’s workflow features extend beyond Dashworks’ primarily search-focused capabilities.
Google Cloud Search
Google Cloud Search provides enterprise search deeply integrated with Google Workspace using Google’s PageRank and machine learning algorithms, offering universal search across Gmail, Drive, Calendar, Sites, third-party applications via 100+ connectors, and administrative controls for content indexing and security policies.
Super distinguishes itself through platform-agnostic approach supporting multiple ecosystems versus Google Cloud Search’s optimization for Google-centric environments. While Google excels for organizations heavily invested in Google Workspace, Super provides comparable search capabilities across diverse toolsets including Microsoft, Atlassian, and independent platforms. Super’s workflow automation through orchestration engine extends beyond Google Cloud Search’s primarily search-focused functionality.
Elastic Enterprise Search
Elastic offers open-source search and analytics engine built on Elasticsearch with highly customizable relevance tuning, support for full-text, geospatial, and vector search, flexible deployment options (cloud or self-managed), and rich ecosystem of plugins for data ingestion and visualization.
Super provides managed, no-code alternative to Elastic’s developer-focused platform. While Elastic excels for technical teams requiring complete customization control and self-managed deployment, Super offers faster setup with pre-built integrations and AI-powered natural language interface. Elastic requires significant DevOps resources and tuning expertise, whereas Super delivers immediate value through managed service. Super’s workflow orchestration provides business-user accessibility that Elastic’s technical focus doesn’t emphasize.
Sinequa
Sinequa delivers intelligent search platform with 200+ connectors for structured and unstructured data, advanced NLP and semantic extraction for entity recognition, multimedia processing capabilities (audio, video transcription), and RAG copilot for contextualized, traceable answers with governance.
Super differentiates through more modern, user-friendly interface and workflow automation emphasis versus Sinequa’s comprehensive but complex platform. While Sinequa provides extensive multimedia processing and advanced NLP particularly strong in regulated industries like manufacturing and life sciences, Super focuses on business user accessibility and rapid deployment. Sinequa’s strength in handling highly complex, regulated environments comes with implementation complexity that Super’s streamlined approach avoids.
Microsoft Graph and Copilot
Microsoft provides Graph API connecting Microsoft 365 data with Copilot AI assistant deeply integrated across Office applications, offering seamless Microsoft ecosystem integration, AI-powered content generation and summarization, and enterprise-grade security with compliance features.
Super serves organizations beyond Microsoft-centric environments, providing unified search across Microsoft, Google, Atlassian, and independent platforms. While Microsoft Copilot excels for Office-focused workflows, Super’s platform-agnostic approach benefits organizations with diverse toolsets. Super’s independent orchestration engine and workflow automation capabilities extend across multiple platforms versus Copilot’s primary focus within Microsoft ecosystem.
Lucidworks
Lucidworks Fusion provides ML-driven search with predictive analytics, neural hybrid search combining semantic and keyword approaches, customization for specific industries (particularly retail and e-commerce), and visual tools for query pipeline management built on Apache Solr foundation.
Super offers more accessible, business-user-focused alternative to Lucidworks’ technical platform. While Lucidworks excels at complex relevance tuning and e-commerce search with sophisticated ML pipelines, Super provides faster deployment and easier workflow automation through natural language interface. Lucidworks’ strength in handling massive product catalogs and complex retail scenarios comes with technical complexity that Super’s streamlined approach simplifies for general enterprise use.
Key Differentiators
Super V2’s unique positioning centers on several core advantages. Its claimed 2x accuracy improvement over competitors and 2.3x improvement over its own first version positions it as delivering most reliable answers in the enterprise search category. The 40% performance improvement demonstrates significant speed optimization for faster insights.
The advanced orchestration engine enables workflow automation beyond simple search, allowing teams to automate repetitive information-gathering and report-building tasks through pre-configured workflows. The real-time API approach without traditional indexing enhances security and data freshness while respecting source system permissions.
The 20+ enterprise integrations with custom API/Zapier support, combined with browser extension and ready-to-use AI assistants, provide comprehensive accessibility across work contexts. Natural language querying with AI-powered synthesis delivers conversational intelligence rather than basic keyword matching.
For organizations prioritizing pure customization and open-source flexibility, Elastic remains unmatched. For Google Workspace-centric enterprises, Google Cloud Search offers native integration. For structured knowledge curation with verification workflows, Guru provides specialized depth. For highly regulated industries requiring multimedia processing, Sinequa delivers comprehensive capabilities.
However, for organizations seeking the most accurate enterprise search combined with workflow automation, accessible natural language interface, platform-agnostic integration, and rapid deployment without data duplication or complex setup, Super V2 presents a compelling modern alternative bridging accuracy, speed, security, and usability.
Final Thoughts
Super V2 emerges as a formidable solution in the enterprise AI search landscape, particularly for organizations managing vast and fragmented knowledge across multiple platforms. Its commitment to unparalleled accuracy (2x better than competitors), enhanced speed (40% faster than V1), and sophisticated orchestration engine positions it as a game-changer for enterprise knowledge management and decision support.
The platform’s Core plan starting at \$15 per user per month with 10-seat minimum makes enterprise-level search accessible to mid-sized organizations, while Enterprise plans serve large corporations requiring dedicated support and enhanced capabilities. The real-time API approach without data duplication addresses security concerns while ensuring information freshness.
While the 10-seat minimum and token-based usage limits require consideration for smaller teams, and complex workflow automation may involve learning curves, the promise of rapid, highly accurate insights from across entire organizations makes Super compelling for businesses seeking to truly leverage their data for strategic advantage and operational excellence. For companies where finding accurate answers quickly and automating knowledge workflows represent critical priorities, Super V2 warrants serious evaluation as a next-generation enterprise search and workflow platform.