Alembic Technologies, a pioneer in Causal AI for the enterprise, announced it has secured $145 million in Series B and growth funding — a 15.7x increase in valuation over their Series A round. Led by Prysm Capital and Accenture, with participation from Liquid 2 Ventures, NextEquity, Friends & Family Capital, WndrCo and growth funding from SLW, this investment underscores the confidence leading investors and partners have in Alembic’s technology and momentum.
“As powerful artificial intelligence models increasingly converge in capability, the key competitive advantage shifts to proprietary data. Getting a real edge isn’t about using the best LLM; it’s leveraging the unique information rivals can’t access.”
“As powerful artificial intelligence models increasingly converge in capability, the key competitive advantage shifts to proprietary data,” said Tomás Puig, CEO and founder of Alembic. “Getting a real edge isn’t about using the best LLM; it’s leveraging the unique information rivals can’t access. The exclusive data a company generates protects its strategy from generic model outputs where two competitors could get the same answer. This ensures any key insights and market decisions come from a truly private intelligence engine.”
Alembic’s Causal engine creates a compounding data flywheel: Better insights lead to improved products and strategies for customers, which then capture more high-signal data. That loop accelerates, building a durable strategic advantage.
The round deepens Alembic’s strategic partnerships with leaders like Accenture, which will leverage the Causal AI platform to accelerate its clients’ enterprise reinvention journeys.
“Our clients are not just implementing AI; they are undergoing total enterprise reinvention, which hinges on trust and intelligence at the digital core,” said Julie Sweet, chair and CEO of Accenture. “Alembic’s Causal AI provides exactly that by moving the enterprise beyond correlation to deliver the verifiable, cause-and-effect insights leaders need to act with decisive speed.”
“This investment and collaboration with Accenture will help us reach more companies that want to understand what really drives their results,” said Puig. “Most businesses are not short on data. They are short on answers. Together we are turning that data into concrete insights that leaders can act on.”
This funding will accelerate the scaling of Alembic’s Causal AI decision engine to meet rising demand from Fortune 500 B2B and B2C clients, including Delta Air Lines, Mars, and its founding enterprise customer, NVIDIA.
“Alembic’s ability to connect marketing exposure directly to business outcomes — with speed, precision and granularity — is what made this relationship so transformative for us. Unlike traditional measurement tools, Alembic gave us a unified view across channels and campaigns, unlocking insights we simply couldn’t access before,” said Alicia Tillman, chief marketing officer at Delta Air Lines. “This partnership marks a major leap forward in how we quantify impact, and it’s laying the groundwork for a more agile, refined and scalable measurement framework across the enterprise.”
“We are using math to liberate creativity! Our fans and communities create billions of organic conversations and content about our brands. When a viral moment happens, we normally know it’s directionally positive, but we can’t attribute the sales uplift or its place in the customer journey. Alembic’s Causal AI is a breakthrough, allowing us to move beyond correlation to see exactly how that organic conversation created a sequence that directly impacted sales,” said Gülen Bengi, lead global chief marketing officer for Mars Inc., and global chief growth officer for Mars Snacking.
Alembic Announces Deployment of NVIDIA DGX AI Supercomputing Fueled by New Funding
To power its next phase of growth, Alembic is using this capital to deploy a new NVIDIA NVL72 superPOD cluster deployed at Equinix’s AI-ready SV11 International Business Exchange™ (IBX®) data center in Silicon Valley. This state-of-the-art DGX AI Supercomputing cluster, running the NVIDIA AI Enterprise software suite, provides the high-performance computing backbone required for Alembic’s Causal AI. The system is engineered to power the company’s continuous-learning spiking neural networks and spatio-temporal graph construction, ensuring real-time, Causal insights as customer data volumes scale exponentially. This marks the second supercomputing cluster that Alembic owns outright, establishing bi-coastal redundancy. This strategic investment in a dedicated, private AI fleet ensures guaranteed resource availability and offers Alembic unparalleled control to optimize the full stack for the company’s unique Causal AI workloads. The new cluster is scheduled to go live by the end of the year.
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“Alembic is an applied science company. To build the world’s most advanced Causal AI, you need the world’s most advanced computing platform,” added Puig. “This new NVL72 superPOD that we are building in partnership with NVIDIA and Equinix is our engine. It allows our research teams to fully leverage multi-exaflop-level compute and NVIDIA’s algorithmic software stack, like the CUDA-X toolkit, from cuGraph for graph processing to TensorRT for high-speed inference. This deep integration is one of our secret weapons: we spend more time on breakthrough research and mathematics and less time on repetitive low-level engineering, enabling us to deliver Causal answers to partners like Accenture in near real-time, not months.”
Defining the Next Era of Enterprise AI
“Alembic is not just another AI tool; it’s emerging as a mission-critical intelligence layer for the enterprise,” said Matt Roberts, cofounder and partner at Prysm Capital. “We heard a consistent story from its early customers, which are moving from theoretical ‘insights’ to proven, real-world impact at a massive scale. The company is pioneering a new foundational model for enterprise decision-making, and we’re excited to partner with Tomás and his exceptional team as they define this category.”
Alembic combines the compute power and engineering skill of a world-class research lab, pioneering next-generation AI architectures through its event-driven and efficient spiking neural networks. This foundation enables the company to continually advance Causal AI performance and scalability for its enterprise partners.
“Alembic has achieved the rare balance of deep technical rigor and immediate commercial relevance,” added Shawn K. O’Neill, managing partner at SLW. “Its Causal AI engine is already playing a key role in how global enterprises allocate marketing and operational spend, and we’re proud to support its next phase of growth.”
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“In my over 40 years as a brand marketer, the challenges around attribution and effectiveness have made it virtually impossible to quantify the impact of every dollar invested in marketing,” said Jeffrey Katzenberg, founding partner of WndrCo. “Since partnering with Tomás and the Alembic team last year, we’ve had the privilege of introducing Alembic’s platform to some of the world’s largest brands. There have been such positive reactions from CMOs, who are now leveraging this unprecedented level of intelligence to make decisions on where to allocate advertising dollars to optimize sales.”
Justin Wexler, WndrCo general partner and Alembic board director, said, “When I first began to get to know Tomás, it became clear that Alembic was on the path to defining the future of enterprise intelligence, made possible by advances in AI that had yet to be connected to real commercial needs. It’s been rewarding to see the market increasingly recognize the transformative impact of Alembic’s platform on enterprise decision-making.”
Real Results from Causal Truth
Alembic’s platform has helped leading enterprises achieve measurable business impact:
- Delta Air Lines quantified the revenue lift from its Team USA Olympics sponsorship within days, linking brand activations to ticket sales.
- Mars measured the real dollar value of viral celebrity moments while North Sails optimized digital strategy for record ROI.
- A Fortune 500 technology leader expanded its sales pipeline by 37%, achieving precise marketing attribution across business units.
- Texas A&M boosted fan engagement and donor contributions across sports programs through Causal measurement and forecasting.
