See the real causes. Make better decisions.
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CausalMind AI is the first enterprise-grade platform for fully automated causal discovery (AutoCD)—helping organizations understand why things happen, not just what happens. While most tools rely on correlations, we uncover real cause-and-effect relationships, enabling better, faster decisions without needing expert analysts. This prevents costly mistakes and creates long-term strategic value. Our platform is already proven in large-scale tech and automotive settings. What makes us unique is that we’ve automated a process that was previously manual, slow, and expert-only, our team is highly specialized in the field and we are the pioneers in automated causal discovery. This creates a high barrier to entry and gives us a clear lead in the emerging field of Causal AI.
CausalMind AI is the first enterprise-grade platform for fully automated causal discovery (AutoCD)—helping organizations understand why things happen, not just what happens. While most tools rely on correlations, we uncover real cause-and-effect relationships, enabling better, faster decisions without needing expert analysts. This prevents costly mistakes and creates long-term strategic value. Our platform is already proven in large-scale tech and automotive settings. What makes us unique is that we’ve automated a process that was previously manual, slow, and expert-only, our team is highly specialized in the field and we are the pioneers in automated causal discovery. This creates a high barrier to entry and gives us a clear lead in the emerging field of Causal AI.
TEAM
TEAM
Automated causal discovery: Much like autoML, the best causal algorithm is identified automatically.
Automated causal discovery: Much like autoML, the best causal algorithm is identified automatically.
Causal Inference: Users can measure the impact of actions (treatments) on outcomes.
Causal Inference: Users can measure the impact of actions (treatments) on outcomes.
Interpretability: Simplifies causal analysis with an intuitive interface, using an AI agent to provide clear, natural-language explanations and recommendations, eliminating the need for technical expertise.
Interpretability: Simplifies causal analysis with an intuitive interface, using an AI agent to provide clear, natural-language explanations and recommendations, eliminating the need for technical expertise.
On-premise deployment for data security: Ensures safety by keeping data within an organization's infrastructure.
On-premise deployment for data security: Ensures safety by keeping data within an organization's infrastructure.
Multiple Datasets: Our solution automates the integration of fragmented data from multiple sources.
Multiple Datasets: Our solution automates the integration of fragmented data from multiple sources.
Collaborative Discovery: Our solution enables causal discovery across multiple organizations' data without sharing the data itself, overcoming confidentiality concerns.
Collaborative Discovery: Our solution enables causal discovery across multiple organizations' data without sharing the data itself, overcoming confidentiality concerns.
Prior Knowledge: Our solution allows users to incorporate domain knowledge, such as industry facts, and relevant insights, into the causal discovery process.
Prior Knowledge: Our solution allows users to incorporate domain knowledge, such as industry facts, and relevant insights, into the causal discovery process.
Extensions: The user can provide access to tools such as API’s to the AI agent to be used in order to act based on the results.
Extensions: The user can provide access to tools such as API’s to the AI agent to be used in order to act based on the results.
Get in touch, discover causal AI
Get in touch, discover causal AI
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