Alembic's current reliability-engineering opening and a reported B2B pipeline increase identify possible growth drivers, while Haus demonstrates a separate causal-testing and customer-activation outcome; these individual signals do not establish repeated company-wide growth. It is hiring a Senior Site Reliability Engineer for an in-person role at its San Francisco headquarters. A Fortune 500 B2B technology leader expanded its sales pipeline by 37% using Alembic's causality models.

Haus enables brands to answer key business questions in weeks rather than months. FanDuel's sportsbook activations rose by 11% in its experimentation case.

Alembic's thesis is that causal analysis lets an enterprise trace sponsorship spend to cash sales in real time and reallocate while a campaign is still running. An airline case demonstrates that link, and the broader Causal AI market is forecast to expand from USD 158.7 million in 2026 to USD 761.4 million by 2031, with Alembic named among the report's key players.

Recast offers Bayesian MMM, GeoLift experiments, forecasts, plans, and workflow integrations.

Data availability is a key execution risk for Alembic: measurement is only as trustworthy as the signals feeding it, and fragmented marketing data can delay trustworthy attribution and make measurement tools less reliable. Alembic's Causal Layer connects to existing enterprise infrastructure in weeks.

Alembic says it collects anonymized aggregate signals without PII, pixels, cookies, or individual tracking in a customer-only environment.