Genloop

What Genloop does

Genloop provides an AI-powered data intelligence stack that enables business users to get reliable, contextual answers from structured data in seconds using plain English. It eliminates the need for SQL or traditional BI tools by acting as a personal data analyst, delivering instant, accurate insights with enterprise-grade security and compliance. The platform connects to an entire data estate, including structured data, documents, and applications, building a living context graph that understands business processes, decisions, and people. Genloop's proprietary LLM Customization stack powers its AI agents, which continuously refine their context and skills through interactions and feedback. It offers features like deterministic reasoning, decision intelligence, and a review center for data team validation, ensuring accuracy and trustworthiness. Genloop aims to make data accessible to everyone, freeing data teams from ad-hoc queries and enabling faster, data-backed decisions across various business functions.

Products

• The Genloop PlatformA comprehensive data intelligence stack with five core capabilities: Living Context Graph, Self-Learning Loop, Deterministic Reasoning, and Decision Intelligence. It connects to various data sources, provides free dashboards, and integrates with existing AI agents and workflows.
• Genloop for ProductProvides product teams with insights into release impact, user cohorts, adoption, engagement, and churn in plain English and real-time.
• Genloop for FinanceEnables finance teams to ask questions about financial data in plain English, offering root-cause analysis, trend breakdowns, and verified numbers for variance tracking and cost monitoring.
• Genloop for MarketingConnects ad platforms, CRM, and analytics to provide marketing teams with unified campaign ROI and conversion insights across paid, organic, and email channels.
• Genloop for SalesConnects sales data, CRM, and marketing metrics to deliver pipeline insights, forecast accuracy, and deal velocity, helping sales teams understand why deals close or don't.
• Genloop for OperationsConnects operational data across stores, supply chains, and logistics, enabling ops teams to drill into underperformers, find hidden correlations, and understand metrics like ATV, shrinkage, and SLA compliance.

Key capabilities

• Living Context Graph
• Self-Learning Loop
• Deterministic Reasoning
• Decision Intelligence
• Connects to structured and unstructured data
• Connects to business applications
• Free dashboards
• Plain English querying (no SQL)
• Enterprise-grade governance
• Role-based access control (RBAC)
• Review Center for validation and learning
• Security & Compliance (SOC2 Type II, ISO 27001)
• No data copies (on-prem, VPC, air-gapped deployment options)
• Automated reports and proactive insights
• API access
• Custom agent building
• SSO / SAML
• Iframes for internal and external applications
• Dedicated Solutions Architect
• Dedicated support with SLA
• Slack integration
• Integration with other AI tools (e.g., Claude)

Use cases

• Getting reliable, contextual answers from structured data in seconds
• Measuring release impact and comparing metrics across releases
• Identifying growing engagement cohorts based on behavior
• Ensuring consistent definitions for activation, retention, and churn
• Tracking variance and monitoring costs in finance
• Spotting cost spikes early
• Analyzing campaign ROI across marketing channels
• Identifying underperforming marketing segments
• Unifying conversion definitions across marketing data
• Understanding why sales deals close or don't
• Improving forecast accuracy and identifying slipping deals in sales
• Accelerating sales processes by providing insights on customer fit and competitor patterns
• Drilling into underperforming operational segments (geography, store, etc.)
• Finding hidden correlations in operational data
• Answering ad-hoc business questions without data team intervention
• Proactive insights and reasoning for store teams to sell smarter
• Seamlessly joining across multiple data sources for chatbots
• Automating reports and scheduling proactive insights
• Providing data intelligence for early-stage teams without extensive BI setup

AI approach

Genloop provides an AI-powered data intelligence stack that enables business users to get insights from structured and unstructured data using natural language. It builds a "Living Context Graph" that understands business context, processes, decisions, and people, and refines its understanding through a "Self-Learning Loop" based on interactions and feedback. The platform emphasizes deterministic reasoning and decision intelligence, providing reasoning for its answers and suggesting actions. It uses a proprietary LLM Customization stack and is ranked #1 on Spider 2.0 and LiveSQL benchmarks for data reasoning accuracy.

Tech named: Generative AI, LLMs, Artificial Intelligence, AI, ChatGPT, Large Language Models, Gemini, Analytics, Agentic Analytics, Business Intelligence, proprietary LLM Customization stack, Spider 2.0 Benchmark, LiveSQL Benchmark, Claude

Industries served

• Technology
• Information and Internet
• Retail
• Pharma
• Finance
• Marketing
• Sales
• Operations

What it says sets it apart

• No. 1 on Spider 2.0 Benchmark for data reasoning accuracy
• No. 1 on LiveSQL Benchmark
• Most Innovative Product by NetApp
• Proprietary LLM Customization stack
• Living Context Graph that understands data architecture, processes, decisions, and people
• Self-learning loop that refines context and skills with every interaction and feedback
• Deterministic reasoning that investigates, cross-references, and traces anomalies
• Decision intelligence that surfaces insights, suggests actions, tracks outcomes, and remembers what worked
• Enterprise-grade security and compliance (SOC2 Type II, ISO 27001) with no data copies
• Ability to work with structured and unstructured data simultaneously
• Eliminates need for SQL or traditional BI tools for business users
• Provides reasoning and confidence scores for answers
• Offers a review center for data experts to validate and correct answers
• Scalable answers without increasing headcount for data teams
• Unified data universe without data migration, reading from existing infrastructure
• Business memory that builds a semantic layer over data, understanding business-specific terms
• Faster time to value, with setup in minutes
• Federated analytics across various data sources and apps
• No BI setup required, connecting directly to databases without ETL pipelines or engineering costs
• Offers a free tier with lifetime free dashboards