AI Agents. Enterprise-Grade. Campaign-Ready.

“Creates graphs and charts to summarize output from ML solutions. Displays the following metrics:
RFM – Frequency of segments, distribution of segments, total sales by segments and more
NBP – Most recommended product combos, product recommendation frequencies and more “

Reviews written copy for compliance with brand, legal, and terminology guidelines. Flags potential issues across five dimensions (tone, terminology, prohibited content, compliance, and risks), and provides structured feedback with suggested improvements.

Run conversational analytics against any dataset in Treasure Data, drastically reducing the time to manually comb through data to identify patterns and answer questions.

Automates the end-to-end data onboarding workflow from various sources through intelligent SQL generation and workflow orchestration. Streamlines the Treasure Data pipeline-building process, from staging and cleaning customer data to unifying datasets, creating derived attributes, and generating parent segments.

Orchestrates data pipelines from source systems into Treasure Data across staging, transformation and profiles layer. Automatically generates code based on user input to help reduce deployment time by 50% or more.

Monitors data pipelines to detect anomalies and flag inconsistencies, ensuring that the data feeding your AI models and marketing systems is always clean and trustworthy.

Ask natural language questions of your customer data, uncover trends, and generate insights that can power campaign strategies, product optimization, and revenue growth.

Generates brand-consistent marketing email drafts that are based on your campaign details and brand guidelines.

Instantly creates on-brand images from text prompts, enforcing brand guidelines and copyright rules, without needing design expertise.