Alembic Technologies, Inc.
Category: AI in Marketing
Alembic is a state-of-the-art causal AI platform that connects every marketing dollar spent to revenue, eliminating blind spots and wasted budget Alembic Technologies, Inc. was founded in 2018. The company is led by Tomás Puig. Based in San Francisco, United States. Team size: 50. Total funding raised: $177M. Latest round: Series B. Key investors include Prysm Capital, Accenture, WndrCo (Jeffrey Katzenberg), Liquid 2 Ventures (Joe Montana), Silver Lake Waterman, NextEquity, Friends & Family Capital.
- Founded
- 2018
- Headquarters
- San Francisco, United States
- Team size
- 50
- Total funding
- $177M
Value proposition
Moves beyond correlation to uncover actual causal drivers of revenue, eliminating 'hallucinations' in AI predictions through proprietary causal algorithms and supercomputing infrastructure
Products and solutions
Causal AI marketing analytics platform, Spiking Neural Network (SNN) and causal algorithm frameworks, Real-time brand health and sentiment tracking tools, Marketing attribution and ROI measurement tools
Unique value
First commercial implementation of causal AI for marketing, using supercomputing-driven simulations to map complex customer behavior patterns with NVIDIA-powered infrastructure
Target customer
Enterprise marketing teams, Fortune 500 brands, and data-driven organizations requiring advanced attribution and ROI measurement
Industries served
Enterprise Software, Marketing & Advertising, Consumer Goods, Technology, Financial Services, Airlines, Higher Education
Technology advantage
Proprietary causal inference models combined with an NVIDIA-powered supercomputer for real-time computation of trillions of causal relationships, achieving 95% confidence in predictions up to 2 years in advance
How they differentiate
Alembic differentiates itself through proprietary causal AI and dedicated supercomputing infrastructure for marketing analytics, enabling precise attribution of marketing activities to revenue using cause-and-effect relationships rather than correlation-based models
Main competitors
HubSpot, SEMrush, Sprout Social, Conductrics, Salesforce Marketing Cloud, Google Analytics
Key partnerships
NVIDIA (supercomputing infrastructure and exclusive partner), Accenture (strategic investment and client transformations), Prysm Capital (lead investor), Equinix (data center infrastructure)
Notable customers
NVIDIA, Delta Air Lines, Texas A&M, Mars, Fortune 500 B2B technology companies
Major milestones
Raised $145M Series B funding in November 2025 with 15.7x valuation increase, Built one of the world's fastest supercomputers for causal AI computation, Deployed second NVIDIA NVL72 superPOD cluster for bi-coastal redundancy, Named as Sample Vendor in Gartner's 'Emerging Tech Impact Radar: Intelligent Simulation' report, Achieved 520% engagement lifts in customer campaigns
Growth metrics
Fortune 500 technology leader expanded sales pipeline by 37% using Alembic's causality models; Texas A&M boosted fan engagement and donor contributions; Achieved 15.7x valuation increase from Series A to Series B
Market positioning
Positioned as an enterprise leader in causality-driven marketing intelligence, targeting Fortune 500 companies with a focus on hallucination-free AI insights for CMOs
Geographic focus
Primarily North American market with expanding global client acquisition, evidenced by Fortune 500 technology clients and international case studies
Patents and IP
Patent-pending Spiking Neural Network (SNN) and causal algorithms technology developed exclusively by Alembic's internal science team
About Tomás Puig
Began career at NASA at age 15. Former Global CMO at Emarsys (Vector Capital portfolio), Head of Demand Generation at Cambium Networks (Vector Capital portfolio). Background spans technology, marketing, venture capital, and creative fields with film/ads awards (4 National ADDYs, 2 Cannes Lions).
Official website: https://getalembic.com