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Alembic

Alembic utilizes a causality-aware composite AI, powered by a high-performance supercomputer, to analyze data from various marketing channels and sales activities in near-real time. This technology enables enterprises to identify key drivers of revenue and optimize media spend by providing actionable insights into the impact of their marketing efforts.

San Francisco, United StatesFounded 2018432K+ followers
Updated 20 months ago

Funding

$27.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Traditional marketing mix models and multi-touch attribution systems often lag or mislead, making it difficult for enterprises to identify the key drivers of revenue and optimize media spend. This results in wasted marketing budget and an inability to proactively adjust media spend as the competitive landscape changes.

Solution

Alembic provides a causality-aware composite AI platform that analyzes data from various marketing channels and sales activities in near-real time, enabling enterprises to identify key drivers of revenue. Powered by a high-performance supercomputer, the platform combines customer data with proprietary data to identify signals across omnichannel marketing and sales activities and trace them to conversions and revenue. This enables visibility into what’s driving revenue, allowing marketers to optimize media spend proactively. The platform extracts signals from noise, ingesting data directly from sources to provide simple reports for key decisions.

Target Audience

The primary users are enterprise marketing, finance, and sales teams in industries such as finance, sports, healthcare, internet, hospitality, retail, and e-commerce.

Features

  • Causality-aware composite AI that analyzes data from web, social, broadcast, and sales channels
  • High-performance supercomputer for near-real-time analysis of large datasets
  • Proprietary data and graph neural network to enrich and distill actionable insights
  • Ability to identify the lead sources that move fastest and uncover how to remove friction between deal stages
  • Multi-KPI support to minimize time spent evaluating media effectiveness and increase alignment
  • Multi-factor analysis using quantitative signals to determine the impact of marketing activity on goals
  • Secure enterprise-grade solution with SOC2/3 certification and a privacy-first architecture
This profile is AI-generated and may contain inaccuracies.