Genesis Computing
Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.
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Zerve AI
Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists, business users and teams alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear.
Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax.
Zerve can be used as SaaS, self-hosted, or even on-premise for highly regulated environments.
Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others.
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Menza
Menza is an AI-powered data analytics and business intelligence platform that continuously monitors and analyzes a company’s connected data, from ecommerce systems like Shopify and POS to ad platforms like Google Ads and Meta, CRM, finance, and more, then translates complex signals into clear, plain-English insights, alerts, and recommendations so teams always know what’s happening and why. With over 650 integrations, Menza lets users ask natural-language questions about their business and instantly receive trustworthy, cross-platform answers, visual dashboards, and proactive alerts delivered to their inbox or dashboard before small issues become big problems. It automatically detects anomalies such as revenue drops, inventory shortages, campaign inefficiencies, and optimization opportunities, offering context and actions that help optimize marketing spend, operations, and growth strategies.
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Trace
Trace is an automated KPI analysis platform that helps teams see exactly why business metrics move without chasing dashboards or waiting days for answers. It uses metric trees to connect KPIs with their underlying drivers in a shared, computable model of performance, making analysis repeatable, explainable, and suitable for reliable AI-powered insights. Trace decomposes performance, attributes changes, ranks the most important drivers, compares results with plan, detects anomalies, and scans segments so teams can move from a question to a clear explanation in minutes. Unlike dashboards that only show what happened or AI copilots that still depend on users to direct the investigation, Trace encodes analytical skills that allow its AI agent to perform the analyst workflow autonomously. Teams can begin with one or two critical KPIs, use editable templates, and connect the platform to their warehouse without migrating or restructuring data.
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