Introducing Uesugi Engine: Causal AI Meets Digital Twins for Policy Impact Verification
dattala Co., Ltd. (Headquarters: Hiroshima; CEO: Yuki Ishihara) will begin alpha testing of "Uesugi Engine", a new platform that enables virtual experimentation of PR campaigns and policy outcomes — such as visitor traffic, sales, and regional revitalization — through digital twins, within 2025.
Traditionally, predictions were limited to "closed metrics" like click-through rates and viewership, leaving the true economic impact and behavioral changes as a black box.
Uesugi Engine combines advanced causal inference AI with real-time updated digital twins, enabling pre-launch virtual experimentation of "what-if" scenarios such as:
- "What if we moved the event start time 2 hours earlier?"
- "What if we shifted ad budget from social media to OOH?"
- "What if we extended the campaign by one week?"
To capture the "local reality" that generative AI alone cannot fully cover, this platform actively promotes collaboration with local businesses and municipalities. A proprietary system bridges offline statistics and event data held by regional partners with advertising exposure, foot traffic, and sales data. This "big data x local data" hybrid approach delivers high-precision simulations that nationwide models alone cannot achieve.
Three Innovations This Solution Delivers
Outcome-Driven Prediction
Instead of measuring exposure volume, directly verify "how many visitors will increase" and "what economic ripple effect will occur" in a virtual environment.
End-to-End Hypothesis-to-Decision Platform
dattala's consulting team provides seamless support from interviews through data integration, scenario design, and impact assessment reports. The platform continuously updates with the latest data and evaluation results, enabling rapid course corrections.
Broad Use Cases
Applicable for advertisers, municipalities, and consulting firms — from tourism campaigns and demand forecasting for commercial facilities to cost-effectiveness assessments for public events.
Uesugi Engine Core Architecture
Uesugi Engine is built on deep tech originating from university research, structured in three integrated layers: Data Integration Layer, Model Integration Layer, and Simulation Layer. First, it flexibly ingests multi-source data — from government open data to on-site logs — and normalizes it to local characteristics. Then, an analysis engine applying advanced research insights estimates intervention impact and projects findings into a real-time virtual environment. "What if?" scenarios like shifting launch timing or adjusting budget allocation are instantly reproduced, with outcome magnitude and ripple effects intuitively visualized. This three-layer integration enables an innovative process for forecasting the "actual outcomes" of social policies at the planning stage — something previously difficult to measure.
By embedding deep tech research foundations at the engine's core, the platform extends academic rigor into the PR and policy domain — achieving both scholarly backing and real-world implementation.
Call for Co-Creation Partners
Uesugi Engine will begin alpha testing within 2025, with a production release planned for 2026.
We are recruiting co-creation partners ahead of the alpha launch. Target partners include advertisers and agencies seeking campaign optimization, local governments and public organizations promoting EBPM for tourism or disaster preparedness, and large-scale facility and event operators interested in demand and flow simulations. If you're interested, please contact us.
About dattala Co., Ltd.
Guided by the mission to "bridge people and data, designing the world with technology," dattala combines AI, digital twins, causal inference, and other advanced technologies — delivering logical, evidence-based solutions to complex challenges facing businesses and society.
Contact
dattala Co., Ltd.