Alembic Technologies
Alembic helps enterprises predict revenue impact from marketing spend using Causal AI.
Alembic Technologies is a Causal AI platform that connects marketing spend to revenue outcomes with deterministic attribution and forecasting. Using graph neural networks and epidemiological mathematics applied to 2.5M+ data sources, it predicts revenue, close rates, and customer counts up to 2 years in advance with 95% confidence. The platform unifies brand, performance, and omnichannel marketing measurement into a single causal model, eliminating attribution blind spots endemic to traditional marketing analytics.
Problem solved
Enterprise marketers cannot accurately attribute revenue to specific marketing activities or forecast ROI, resulting in wasted budgets and misallocated resources across channels.
Target customer
Fortune 200 and enterprise brands with complex omnichannel marketing budgets ($10M+ annual marketing spend) seeking deterministic attribution and revenue forecasting across multiple business units.
Founders
T
Tomás Puig
Founder & CEO
Started career at NASA Ames at 15, won four National ADDY Awards and two Cannes Lions in advertising, led marketing at high-growth companies including WP Engine (acquired by Silver Lake), Cambium Networks (IPO), and Emarsys (acquired by SAP).
J
John Adams
Co-Founder & CTO
Head of Information Security at Bolt.com for 8 years, leading infrastructure and security architecture.
S
Seth Little
Co-Founder
W
Will Ramey
Co-Founder
Funding history
Seed
$9.5M
Unknown
Led by Unknown
· Unknown
Series A
$14M
February 2024
Led by WndrCo
· MXV Capital, Liquid 2 Ventures
Series B
$145M
November 2025
Led by Prysm Capital, Accenture
· Silver Lake Waterman, Liquid 2 Ventures, NextEquity, Friends & Family Capital, WndrCo
Total raised:
$266M
Pricing
Custom enterprise pricing based on scale and specific needs. No publicly available pricing disclosed.
Notable customers
NVIDIA, Texas A&M, North Sails, Delta Air Lines, Mars, Fortune 500 technology companies
Integrations
NVIDIA DGX SuperPOD (real-time simulation infrastructure), standard marketing data sources and CRM systems
Tech stack
React (JavaScript frameworks)
jQuery UI (JavaScript libraries)
jQuery Migrate (JavaScript libraries)
jQuery (JavaScript libraries)
core-js (JavaScript libraries)
Tippy.js (JavaScript libraries)
YouTube (Video players)
Vimeo (Video players)
Plyr (Video players)
Zendesk (Documentation)
Webpack
Popper
RSS
Open Graph
Module Federation
HTTP/3
WordPress (Blogs)
Site Kit (Analytics)
Quora Pixel (Analytics)
Quantcast Measure (Analytics)
Linkedin Insight Tag (Analytics)
Google Analytics (Analytics)
Facebook Pixel (Analytics)
HSTS (Security)
Detectify (Security)
Twitter Emoji (Font scripts)
Google Font API (Font scripts)
PHP (Programming languages)
Apple iCloud Mail (Webmail)
Google Workspace (Email)
Amazon S3 (CDN)
MySQL (Databases)
Reddit Ads (Advertising)
Linkedin Ads (Advertising)
Twitter Ads (Advertising)
Taboola (Advertising)
Google Tag Manager (Tag managers)
Elementor (Page builders)
Yoast SEO (SEO)
Amazon Web Services (PaaS)
AWS Certificate Manager (SSL/TLS certificate authorities)
Sendgrid (Email)
Hello Elementor (WordPress themes)
Strattic (Hosting)
Priority Hints (Performance)
Website
Competitors
Fospha
Marketing measurement platform without Causal AI capabilities; focuses on attribution modeling rather than causal inference and revenue forecasting.
Glassbox
Business productivity software with different focus areas; lacks specialized causal mathematics for marketing attribution.
mParticle
Customer data platform focused on data collection and segmentation; does not offer causal attribution or revenue forecasting.
Digimind
Social listening and intelligence tool; lacks enterprise revenue attribution and forecasting capabilities.
Ahrefs
SEO and content analysis tool; does not address omnichannel marketing attribution or revenue prediction.
Why this matters: Alembic raised $145M in November 2025 (a 15.7x valuation increase from Series A), backed by Accenture and Prysm Capital, signaling major enterprise momentum around Causal AI. The November 2025 launch of Version 3.0 with NVIDIA DGX SuperPOD real-time simulation represents a significant product pivot toward predictive decision intelligence, positioning Alembic as a foundational tool for marketing ROI in the AI era.
Best for: Fortune 200 and enterprise brands that need to prove marketing ROI across multiple channels, forecast revenue impact before committing budgets, and eliminate wasted spend through causal attribution.
Use cases
Sponsorship ROI Quantification
Delta Air Lines quantified the revenue lift from its Team USA Olympics sponsorship within days, linking brand activations directly to ticket sales. This enables brands to justify major sponsorship investments with hard revenue data rather than brand lift proxies.
Sales Pipeline Expansion
A Fortune 500 technology leader expanded its sales pipeline by 37% by achieving precise marketing attribution across business units. The platform identified which marketing activities drove qualified pipeline, allowing reallocation to highest-impact tactics.
Viral Moment Valuation
Mars measured the real dollar value of viral celebrity moments in real time, converting social buzz into quantified revenue impact. This allows marketing teams to capitalize on organic moments with precise budget reallocation.
Fan Engagement and Donor Revenue
Texas A&M boosted fan engagement and donor contributions across sports programs using Causal measurement and forecasting. The platform connected marketing activities to both engagement and revenue outcomes for athletic departments.
Alternatives
Fospha
Choose Fospha if you need traditional multi-touch attribution; choose Alembic for causal inference and revenue forecasting capabilities.
Measured
Choose Measured for simpler MMM implementation; choose Alembic for enterprise-scale causal AI with 2-year revenue forecasting.
Prism
Choose Prism for lightweight marketing analytics; choose Alembic for deterministic attribution tied directly to enterprise revenue outcomes.
FAQ
What does Alembic Technologies do? +
Alembic is a Causal AI platform that connects every marketing dollar spent to revenue outcomes. It uses graph neural networks and epidemiological mathematics to provide deterministic attribution, revenue forecasting up to 2 years in advance, and simulation of marketing decisions—eliminating the guesswork in marketing ROI.
How much does Alembic cost? +
Alembic uses custom enterprise pricing based on your organization's scale and specific needs. Contact their sales team for a detailed quote. There is no publicly available pricing tier.
What makes Alembic different from other marketing attribution tools? +
Alembic applies Causal AI—mathematics originally developed for epidemiological contact tracing—to deterministically link marketing activities to revenue rather than using correlation. It processes 2.5M+ data sources and forecasts revenue up to 2 years out with 95% confidence, whereas traditional attribution tools only correlate activity to conversion events.
Who uses Alembic? +
Enterprise brands and Fortune 200 companies with complex omnichannel marketing budgets use Alembic, including NVIDIA, Delta Air Lines, Mars, and Texas A&M. The platform is designed for organizations spending $10M+ annually on marketing across multiple channels and business units.
How does Alembic compare to Fospha? +
Both address marketing attribution, but Alembic's Causal AI model goes beyond Fospha's multi-touch attribution. Alembic predicts future revenue impact and simulates decisions before execution, while Fospha focuses on correlating past activity to conversions. Alembic's edge is deterministic causality and 2-year forecasting.
Tags
causal AI
marketing attribution
revenue forecasting
omnichannel marketing
marketing ROI
predictive analytics
enterprise measurement