CUSTOMERS WHO TRUST ALEMBIC
Alembic prides itself on being an applied science company
Alembic's in-house science team develops novel causal methodologies built to solve the commercial challenges enterprises actually face. Every advancement in the platform comes from a real business problem, not a research paper.
Larger information sets mean richer results
Find value in every datapoint
The Alembic platform transforms your data regardless of its initial state. Diverse sources can be seamlessly integrated even if they are inconsistent or incomplete. Your full dataset will be converted with all inputs perfectly aligned with consistent schema and precise spatiotemporal relationships.
Data with context yields greater insights
The advanced ingestion pipeline captures real-time signals from business activities, user interactions, environmental contexts, and macroeconomic indicators. Precise timestamp synchronization allows you to preserve and observe spatial and temporal relationships.
Information integrity regardless of scale
Automated quality monitoring continuously validates data flows through anomaly detection and integrity verification, even as volume and granularity expand. Alembic processing architecture scales horizontally for lightning-fast analysis of massive time-series and geospatial datasets.
See inside the Alembic Causal Intelligence Platform
The Science Behind Why™
Composite AI brings together large language models (LLM) to translate complex output into understandable language, causal AI (CAI) to determine links through the funnel, machine learning (ML) to detect patterns and categorize data and Natural Language Processing (NLP) to extract/group similarities.
Data activation ingests and stitches together structured and unstructured information from all sources (POS, advertising metrics, social/web analytics, research, studies) creating a complete historical picture that you can extend and interpret into the future. Your Alembic Intelligence Brief presents your high-level and detailed findings.
Observability functions to establish a baseline, taking anomalies and spikes across thousands of data points to create causal chains, which are passed to the causality layer for historical analysis.
Causality conducts a historical analysis, revealing which initiatives best provide growth across your chosen revenue or other metrics, letting you optimize and iterate. Thousands of causal chains are analyzed to pinpoint the actions and investments that offer the most promise.
Prediction modeling offers 30-60-90 days forecasts, using observed conversion metrics like revenue to accurately predict future returns. You can forecast conversion rates of booked revenue. You can project revenue from incoming leads/opportunities. You can make informed investment decisions that will convert to your chosen metrics.
Intelligence synthesizes and summarizes all predictive and historical causality information to help you confidently build your operating plan and budgets. LLMs help you interpret thousands of insights into digestible information over your specified time period from daily and weekly to quarterly and monthly.
Privacy and Security by design are the foundation of Alembic. Resilient. No single point of failure. Fully SOC 2 compliant. 99.5% uptime SLA. Ultimate security where no PII, PDI, PIC data or cookies are collected. Alembic’s complete privacy is a matter of policy and practice, fully GDPR and USDP compliant. Data is ingested as anonymous aggregate statistical causal attribution without individual tracking and is not shared across customers.
Automate the analysis behind every plan: the Alembic Intelligence Brief
Access comprehensive and actionable intelligence in a single unified view, eliminating the need to navigate multiple dashboards, coordinate with data analysts, or manage external vendors. Our Intelligence Brief serves as your strategic executive intelligence report. Reveal the drivers of revenue and key KPIs across every initiative you fund. With a consolidated approach, you can eliminate dashboard fatigue while benefiting from clear, data-driven insights that directly connect spend to outcomes.
Collects and processes diverse data sources.
Produces decisions, not dashboards.
