Ikigai is an AI platform that utilizes patented Large Graphical Models to automate data reconciliation, forecasting, and scenario planning for structured and time series data. By transforming sparse and inconsistent data into accurate forecasts, Ikigai enhances operational efficiency and decision-making across various industries, resulting in measurable improvements such as 20% more accurate forecasting and 30% cost reduction in planning.
Funding
$37.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle with sparse, inconsistent, and dynamic data, making accurate forecasting and planning difficult across various business functions. Traditional AI solutions often require significant resources and time to process this data, while spreadsheets lack the sophistication to handle complex scenarios effectively.
Solution
Ikigai is an AI platform designed to address these challenges by providing accurate forecasting and planning capabilities for structured and time series data. Utilizing patented Large Graphical Models (LGM), Ikigai transforms sparse and inconsistent data into a single source of truth, enabling organizations to predict and plan across supply, demand, people, and budgets. The platform offers AI-driven data reconciliation, demand forecasting, and scenario generation, enhanced by the ability to incorporate external data sources and human expertise. Ikigai's computationally efficient LGM requires fewer resources than traditional AI, while its flexible architecture supports business users, data scientists, and IT professionals through pre-built solutions, API toolkits, and low-code/no-code interfaces.
Target Audience
Ikigai is designed for business users, data scientists, and IT professionals across industries like retail, manufacturing, and financial services who need accurate forecasting and planning solutions.
Features
- Patented Large Graphical Model (LGM) for generative representation of sparse tabular data
- aiMatch: AI-driven data reconciliation to match disparate data sources and cleanse missing data
- aiCast: Demand forecasting that incorporates external data sources like weather and social sentiment
- aiPlan: Scenario generation powered by reinforcement learning to find optimal plans for business constraints
- AI Builder: API toolkit and low-code/no-code platform to turn AI models into solutions
- eXpert-in-the-loop: Reinforces AI models with human intuition and expertise
- 200+ out-of-the-box data integrations