Comparing 16 vendors in Causal AI Startups across 0 criteria.
Causal AI is an advanced form of artificial intelligence designed to uncover, model, and utilize cause-and-effect relationships within complex datasets. Unlike traditional AI models that rely on statistical correlations or pattern recognition, causal AI employs techniques such as causal inference, counterfactual reasoning, and structural causal models (SCMs) to provide deeper insights into why events occur and how interventions influence outcomes. At its core, causal AI seeks to answer a fundamental question in decision-making: “What will happen if we do X?” By integrating domain knowledge and causal graphs, these systems can simulate interventions, predict their effects, and optimize actions to achieve desired results.
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Market Segmentation and Regional Scope
1.3.2 Inclusions and Exclusions
1.3.3 Years Considered
1.3.4 Currency Considered
1.3.5 Units Considered
1.4 Stakeholders
2.1 INTRODUCTION
2.2 MARKET DYNAMICS
2.1 DRIVERS
2.1.1 Increasing demand for explainable AI in regulated industries
2.1.2 Growing demand for robust counterfactual analysis
2.1.3 Surge in demand for predictive maintenance and root cause analysis
2.1.4 Shift from predictive to causal AI-based prescriptive analytics
2.2 RESTRAINTS
2.2.1 Lack of standardized tools and frameworks for causal inference
2.2.2 High computational costs for causal modeling
2.3 OPPORTUNITIES
2.3.1 Causal AI in precision healthcare and drug discovery
2.3.2 Scalable causal inference APIs for real-time applications
2.3.3 Integrating causal AI with IoT for real-time decision making
2.4 CHALLENGES
2.4.1 Complexity of causal model development and interpretability
2.4.2 Data quality and availability for causal inference
2.5 VALUE CHAIN ANALYSIS
2.6 TECHNOLOGY ANALYSIS
2.6.1 KEY TECHNOLOGIES
2.6.2 COMPLEMENTARY TECHNOLOGIES
2.6.3 ADJACENT TECHNOLOGIES
3.1 OVERVIEW
3.2 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
3.2.1 PROGRESSIVE COMPANIES
3.2.2 RESPONSIVE COMPANIES
3.2.3 DYNAMIC COMPANIES
3.2.4 STARTING BLOCKS
3.3 COMPETITIVE SCENARIO
3.3.1 Product Launches
3.3.2 Acquisitions
3.3.3 Partnerships, Collaborations, Alliances, And Joint Ventures
4.1 Parabole.AI
4.1.1 Business overview
4.1.2 Products/Solutions/Services offered
4.1.3 Recent developments
4.1.4 MnM view
4.2 Howso
4.2.1 Business overview
4.2.2 Products/Solutions/Services offered
4.2.3 MnM view
4.3 Incrmntal
4.3.1 Business overview
4.3.2 Products/Solutions/Services offered
4.3.3 Recent developments
4.3.4 MnM view
4.4 Causality Link
4.4.1 Business overview
4.4.2 Products/Solutions/Services offered
4.4.3 MnM view
4.5 VELDT
4.5.1 Business overview
4.5.2 Products/Solutions/Services offered
4.5.3 MnM view
4.6 Causely
4.6.1 Business overview
4.6.2 Products/Solutions/Services offered
4.6.3 Recent developments
4.7 Scalnyx
4.7.1 Business overview
4.7.2 Products/Solutions/Services offered
4.8 Datma
4.8.1 Business overview
4.8.2 Products/Solutions/Services offered
4.9 Actable AI
4.9.1 Business overview
4.9.2 Products/Solutions/Services offered
4.9.3 Recent developments
4.10 Xplain Data
4.10.1 Business overview
4.10.2 Products/Solutions/Services offered
4.10.3 Recent developments
4.11 Causa
4.11.1 Business overview
4.11.2 Products/Solutions/Services offered
4.11.3 Recent developments
4.12 Geminos
4.12.1 Business overview
4.12.2 Products/Solutions/Services offered
4.12.3 Recent developments
4.13 CML Insight
4.13.1 Business overview
4.13.2 Products/Solutions/Services offered
4.13.3 Recent developments
4.14 Taskade
4.14.1 Business overview
4.14.2 Products/Solutions/Services offered
4.14.3 Recent developments
4.15 biotx.ai
4.15.1 Business overview
4.15.2 Products/Solutions/Services offered
4.15.3 Recent developments
4.16 CausAI
4.16.1 Business overview
4.16.2 Products/Solutions/Services offered
4.16.3 Recent developments