Genloop
Genloop is a Santa Clara-based AI company that sells an agentic analytics intelligence layer — text-to-SQL, contextual memory, and a Claude MCP interface — on top of enterprise data warehouses and SaaS apps, sold via persona and vertical packages to enterprise data teams and business users.
- Company typePrivate
- Founded2023
- HeadquartersSanta Clara, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Genloop does
Genloop is a Santa Clara-headquartered private AI company that builds an agentic analytics intelligence layer positioned between enterprise data estates and end users (human and AI agent). The platform connects natively to the major data warehouses and SaaS applications — Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, MySQL, Oracle, SAP, Trino, Aurora, Salesforce, HubSpot, Looker, Mixpanel, Amplitude, QuickBooks, Google Analytics, and Confluent — and exposes the same data through conversational analytics, collaborative liveboards, a native Slack surface, an MCP server for Claude and other AI agents, and embeddable API/iframe delivery. The core technical asset is a four-dimensional Living Context Graph (Data, Process, Decision, User context) that auto-discovers schema and refines with every interaction, paired with multi-agent Deep Analysis and Decision Intelligence that tracks action-outcome pairs.
The product is sold to enterprise data teams and to non-technical business users via persona-targeted solutions (Data Leader, Product Leader, Founder) and five vertical use cases (Finance, Marketing, Sales, Product, Operations). Genloop is a freemium platform with free liveboards and a "no per-seat" sharing model, and SOC 2 Type II and ISO 27001 compliance is held. Disclosed commercial proof points include a Fortune 500 data infrastructure customer (95% answer accuracy versus 40% previously, monthly infrastructure cost cut from ~$30K to ~$4K), a large retail chain (7.6% revenue growth attribution, 90% incentive achievement), and a pharma analytics deployment (22pp accuracy gain, 10x lower LLM cost per query). The company is a portfolio company of 1752vc, has 1–10 employees, and operates across North America and South Asia. It was selected for India's IndiaAI Mission in September 2025 and partnered with the Government of India in October 2025 to develop foundational large language models. CEO Ayush Gupta was named to the MIT Sloan Management Review AI50 list in June 2026. Revenue model specifics and pricing are not publicly disclosed.
Genloop firmographics
Firmographics- Name
- Genloop
- Legal name
- Genloop, Inc.
- Website
- https://genloop.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Genloop is a Santa Clara-based AI company that sells an agentic analytics intelligence layer — text-to-SQL, contextual memory, and a Claude MCP interface — on top of enterprise data warehouses and SaaS apps, sold via persona and vertical packages to enterprise data teams and business users.
- Ownership category
- akta.pro rank
Genloop industry classification
Industry- Product category
- Enterprise AI Analytics Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Experiment Tracking, Metadata & Model Registry (HDAAABAC)
Keywords
Where Genloop is headquartered
LocationHeadquarters
- HQ city
- Santa Clara
- HQ country
- United States
- HQ region
- North America
Markets served
Genloop business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales
Genloop product offering
Product offeringCore offering
Genloop is an agentic analytics intelligence layer that sits between enterprise data estates and users or AI agents. It connects to data warehouses, databases, and business applications to deliver natural-language querying, dashboards, root-cause analysis, and AI-driven insights without requiring ETL or data copies. The platform combines a Living Context Graph, self-learning loop, deterministic reasoning, and MCP-based integration with AI agents like Claude and ChatGPT.
Product overview
Genloop is an agentic analytics intelligence layer offered as a unified platform with modular components. The core Genloop Platform provides five integrated capabilities: Conversational Analytics (natural language queries), Governance (RBAC/RLS/CLS security), Context Hub (four-dimensional business context), Collaborative Liveboards (free dashboards), and Deep Analysis & Automated Actions (multi-step reasoning). These are complemented by integration modules including Genloop MCP (Claude AI connection), Connect Slack (native Slack integration), and Embedded Analytics (API/iframe embedding). The platform targets multiple personas through specialized solutions: Data Leader, Product Leader, and Founder solutions, plus vertical use-cases for Finance, Marketing, Sales, Product, and Operations teams. All capabilities share the same Context Hub, ensuring consistent KPI definitions and governance across every deployment surface.
Differentiator
Problem solved
Functional benefit
Products and services
- Genloop Platform Agentic analytics intelligence layer that connects to enterprise data estates (warehouses, databases, and apps) and delivers natural-language querying, dashboards, root-cause analysis, and AI-driven insights without ETL or data copies. Sold to enterprise data, product, and operations leaders.
- Founder Solution Packaged analytics offering targeting early-stage founders and startups that need chat, dashboards, and reports in one place with no per-seat cost and no BI setup.
- Product Leader Solution Self-serve product analytics offering for product leaders and PMs that provides direct data access, real-time adoption, engagement, and churn insights without depending on data teams.
- Data Leader Solution Packaged offering for data and analytics leaders that sits on top of the existing data stack, offloads ad hoc business questions, and avoids turning the data team into a permanent support desk.
- Finance Analytics AI-driven finance analytics use case for finance teams, providing variance tracking, cost monitoring, root-cause analysis, and verified answers with reasoning and confidence.
- Marketing Analytics AI-driven marketing analytics use case that unifies ad platforms, CRM, and analytics tools to deliver campaign ROI, channel performance, and conversion analysis.
- Sales Analytics AI-driven sales analytics use case that combines sales data, CRM, and marketing metrics to deliver pipeline insights, forecast accuracy, and deal velocity analysis.
- Product Analytics AI-driven product analytics use case that connects product analytics sources for adoption, engagement, and churn insight generation in real time with consistent metric definitions.
- Operations Analytics AI-driven operations analytics use case that connects operational data across stores, supply chains, and logistics to enable drill-down analysis and hidden correlation discovery.
Companies that use Genloop
Customer profileIdeal customer profiles8 records
Genloop technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability9 records
Genloop partnerships and signals
Strategic signalRecent moves6 records
Expansion highlights6 records
Genloop competitors and assessment
Company assessmentMarket position
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Genloop social profiles
Digital presenceGenloop compliance and trust
Trust signalCompliance2 records
Genloop financial estimates
Financial estimateRevenue estimate
Valuation estimate
Genloop leadership team
Management profileNumber of profiles
Profiles1 record
Genloop funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Genloop M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Genloop
What does Genloop do?
Genloop is an agentic analytics intelligence layer that sits between enterprise data estates and users or AI agents. It connects to data warehouses, databases, and business applications to deliver natural-language querying, dashboards, root-cause analysis, and AI-driven insights without requiring ETL or data copies. The platform combines a Living Context Graph, self-learning loop, deterministic reasoning, and MCP-based integration with AI agents like Claude and ChatGPT.
Is Genloop a public or private company?
Genloop is a private company. It is classified as venture growth investor backed and is currently operating.
When was Genloop founded?
Genloop was founded in 2023. It employs 1 to 10 people.
Where is Genloop based?
Genloop is headquartered in Santa Clara, United States, in the North America region.
Does Genloop have an API?
Yes. Genloop offers API access for embedding analytics capabilities in external-facing data products. The platform integrates with AI agents via MCP (Model Context Protocol) for Claude, ChatGPT, and other AI tools. Teams can also embed Genloop via iframe or connect to their own product. The intelligence layer is available directly in the Genloop UI, in Slack, via MCP to Claude Code/ChatGPT/any AI agent, as an API for external-facing data products, or embedded as an iframe in the customer's own platform. Developer documentation is at genloop.ai/platform/genloop-mcp.
What industry is Genloop in?
Genloop's product category is Enterprise AI Analytics Platform. Its primary akta.pro industry code is HDAAABAC, Experiment Tracking, Metadata & Model Registry. Its NAICS code is 5182 and its SIC code is 7372.