Alembic Technologies has raised $145 million in Series B and growth funding to expand its Causal AI platform across Fortune 500 companies. Prysm Capital and Accenture led the round, with participation from Silver Lake Waterman, Liquid 2 Ventures, NextEquity, Friends & Family Capital, and WndrCo. The investment values the company at 15.7 times its Series A valuation.
The capital will help Alembic meet demand from enterprise clients including Delta Air Lines, Mars, and NVIDIA. These companies use the platform to connect marketing investments directly to revenue outcomes through deterministic attribution rather than traditional correlation-based analytics.
As AI models become more widely available, companies need ways to differentiate their decision-making capabilities. Alembic's approach centers on turning proprietary data into a competitive advantage that generic large language models can't replicate.
"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."
The platform creates what Puig describes as a data flywheel. Better insights improve products and strategies, which generate higher-quality data, which then feeds back into more accurate predictions. This loop builds momentum over time.
The funding strengthens Alembic's partnership with Accenture, which will integrate the Causal AI platform into client engagements. For Accenture, the technology addresses a core challenge in enterprise transformation: helping leaders make decisions based on verified cause-and-effect relationships rather than assumptions.
"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."
Puig sees the Accenture collaboration as a way to reach companies struggling to extract actionable insights from their data. "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."
Delta Air Lines uses Alembic to measure how marketing exposure translates to ticket sales. The airline can now quantify revenue lift from specific campaigns, including its Team USA Olympics sponsorship, within days rather than months.
"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."
Mars faces a different challenge: measuring the business impact of organic social media moments. When a brand goes viral, the company knows it's positive but hasn't been able to quantify the sales effect or understand where it fits in the customer journey.
"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.
Other clients have achieved measurable outcomes. North Sails optimized its digital strategy for record ROI. A Fortune 500 technology company expanded its sales pipeline by 37% through precise marketing attribution across business units. Texas A&M University boosted fan engagement and donor contributions across athletics programs.
Alembic is using part of the funding to deploy a new NVIDIA NVL72 superPOD cluster at Equinix's SV11 data center in Silicon Valley. The system will power the company's continuous-learning spiking neural networks and spatio-temporal graph construction, which require significant computing resources as data volumes grow.
This marks Alembic's second owned supercomputing cluster, establishing bi-coastal redundancy. Owning the infrastructure gives the company guaranteed resource availability and control over the full technology stack. The new cluster is scheduled to go live by year-end.
"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."
Alembic combines academic research capabilities with commercial product development. The company's spiking neural networks represent a departure from standard AI architectures, designed specifically for event-driven processing and efficiency at scale.
"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."
The company's initial focus is marketing attribution, but the ambition extends to Causal inference analysis across all enterprise functions. The same technology that measures advertising effectiveness could eventually help companies understand operational decisions, supply chain impacts, or product development outcomes.
Silver Lake Waterman's growth funding adds to institutional backing from Prysm Capital, NextEquity, and WndrCo. NVIDIA serves as both the founding enterprise customer and exclusive supercomputing partner.
"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."
Jeffrey Katzenberg, founding partner of WndrCo, brings decades of brand marketing experience to the table. His involvement stems from longstanding challenges around attribution that have made it difficult to quantify marketing investments.
"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."
Alembic provides enterprise Causal AI that helps companies understand the effects of their actions. The platform's proprietary graph neural-network architecture enables deterministic attribution, revenue forecasting, and insight generation across brand, performance, and omnichannel marketing budgets. While the initial focus is marketing analytics, the company's goal is to provide Causal inference analysis across all enterprise functions.
