Sold by: Treasure AI
Deployed on AWS
Treasure AI Studio is a conversational AI-native workspace that lets teams explore customer data, build segments, design journeys, and launch campaigns using natural language - no coding required. As the central interface to Treasure AI's Agentic Experience Platform, Studio connects users to AI agents across web, desktop, mobile, and CLI. Over 30 pre-built skills compress tasks that once took months into minutes. Every AI decision is transparent and reviewable, keeping humans in control of high-impact actions.
4.5
Overview
Treasure AI Studio is a conversational AI workspace that lets teams explore, analyze, and act on customer data using natural language - no coding required. As the central interface to Treasure AI's Agentic Experience Platform, Studio connects users to AI agents and the full Customer Intelligence Loop across web, desktop, mobile, CLI, and voice.
Teams can build audience segments, design customer journeys, generate dashboards, debug workflows, and launch campaigns simply by describing what they need. Over 30 pre-built skills handle platform functions like Trino and Hive queries, workflow management, and creative generation, compressing tasks that once took months into minutes. One retail customer reduced their segment-to-launch cycle from five business days to under eight hours, uncovering previously missed high-intent segments in the process.
Every AI decision produces visible, reviewable output before deployment. Human approval is required for high-impact actions like campaign sends, large-scale data exports, and external activations. No PII is exposed to the AI - it operates only on metadata. Studio puts AI muscle behind human strategy: transparent, governed, and productive from day one.
Enterprise security is built in: OAuth 2.0 with PKCE, server-side sandboxed execution, Network Audit Log, IP Allowlist, and SAML/OIDC support. Treasure AI holds CSA STAR for AI Level 1 and TRUSTe Responsible AI Certification, with SOC 2, GDPR, and CCPA compliance.
Highlights
- From Days to Minutes - Conversational Access to Your Customer Data: Type a question, get a verified answer from live data in seconds. No SQL, no analyst queue, no tickets. Treasure AI Studio replaces analyst tickets, BI dashboards, segmentation UIs, and activation workflows - all through conversation. 30 pre-built skills ship ready on day one with no configuration required, covering CDP operations and content creation.
- Multi-Surface Access: Available across web (no setup), macOS desktop, and iOS mobile with voice dictation - the only CDP workspace shipping desktop, web, mobile, and CLI. The data layer connects to Treasure Data CDP, Snowflake, Databricks, and BigQuery
- Enterprise Security with Responsible AI Certification: Purpose-built for regulated industries and zero-trust environments. All AI execution runs server-side in a sandboxed environment with full audit logging, access controls, and network-level security policies inherited from your existing Treasure Data governance. Treasure AI is certified CSA STAR for AI Level 1 and TRUSTe Responsible AI. Compliant with SOC 2, GDPR, and CCPA.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Treasure AI Studio | POC for proving out use cases | $0.001 |
Dimension | Cost/unit |
|---|---|
Additional Usage and Overage as defined on the Order Form | $0.01 |
Dimensions summary
This listing is a contract-based purchase with two dimensions. The Treasure AI Studio dimension covers a proof of concept, letting you prove out use cases before a wider commitment. The second dimension, Additional Usage and Overage, charges for usage beyond what your Order Form defines. Together, they separate an initial trial-and-validation phase from ongoing consumption. Your baseline scope is set on the Order Form, and the overage dimension bills any activity that exceeds that scope. Studio itself runs on usage-based credits, so charges tie to the conversations and workflows you actually create and run.
Top-of-mind questions for buyers
Studio meters usage as conversations. It runs on usage-based credits, so you pay when you create and run conversations. One AI Credit covers 600 conversations. Credits draw from the same shared pool used across the AI products, so charges tie to what you actually run.
The Additional Usage and Overage dimension bills activity beyond your defined Order Form scope. Your baseline usage sits within that scope. Once you exceed it, the overage dimension charges the extra amount, as defined on the Order Form. This lets consumption scale beyond your initial commitment.
The Treasure AI Studio dimension covers the proof-of-concept phase for validating use cases. The Additional Usage and Overage dimension bills consumption past your defined scope. They bill separately: one for initial validation, one for ongoing usage beyond the Order Form baseline. Both may appear depending on your activity.
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Vendor refund policy
In the event of non conformance with the specified services, Treasure Data will make reasonable efforts to rectify the issue. If a satisfactory resolution is not achieved within 30 days after the customer's notification, the customer has the right to terminate the affected service and will be entitled to a refund of any prepaid fees covering the remaining subscription term for the non conforming service or unperformed professional services
Custom pricing options
Request a private offer to receive a custom quote.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Treasure AI support resources are available via the email below: support@treasure.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Reetika P.
Robust Multi-Layer Data Workflow with Powerful Audience Segmentation
Reviewed on Jun 10, 2026
Review provided by G2
What do you like best about the product?
We work with several layers, including pre_Src, Source, staging, unification, and the golden layer. At the end, there is also an Audience layer where we can create segments.
What do you dislike about the product?
The audience layer only shows email addresses after I create a segment. I should be able to view more attributes as well, not just emails.
What problems is the product solving and how is that benefiting you?
In our scenario, Treasure Data helps us bring in data from various sources, transform it through to the final layer, and then create business-specific segments.
Information Technology and Services
Seamless Multi-Channel Data Integration with Real-Time 360° Profiles
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
Integrates data from multiple channels seamlessly, almost realtime for web activities. Provides activation and segmentation flows makes marketing operations job easy while giving 360 view of the profiles.
What do you dislike about the product?
Journey builder needs some maturity to make it easy to use for general users.
What problems is the product solving and how is that benefiting you?
Combine account data from Salesforce instances B2B and B2C and provide unified view and enrich it further with web activity for realtime segments and activation.
Consumer Goods
Great CDP for Unified Data and Analytics
Reviewed on Jan 16, 2026
Review provided by G2
What do you like best about the product?
Strong analytics capabilities and flexible integration ecosystem.
What do you dislike about the product?
Not as user-friendly unless you have technical expertise.
What problems is the product solving and how is that benefiting you?
Helping to unify customer profiles and segment activation across channels.
Information Technology and Services
Unified Customer Profiles Made Easy, But SQL Skills Needed
Reviewed on Jan 12, 2026
Review provided by G2
What do you like best about the product?
Treasure Data excels at bringing data together from many sources, websites, apps, CRM, support systems, mobile, IoT, etc., into one unified customer profile without requiring a massive engineering team.
What do you dislike about the product?
SQL knowledge is essential for advanced segmentation, transformations, and queries.
What problems is the product solving and how is that benefiting you?
Unifying customer data in one coustomer profile.
Brenda M.
Data Unification for Better Personalization
Reviewed on Jan 11, 2026
Review provided by G2
What do you like best about the product?
I like how Treasure Data Customer Data Platform unifies my customers' data in one place. This allows me to easily view each customer's history and helps to segment audiences and personalize experiences in real time. I find this ability to unify data valuable, as it enhances personalization.
What do you dislike about the product?
It could be simpler for beginners and have a more intuitive interface. At first, it was a bit difficult to set up.
What problems is the product solving and how is that benefiting you?
Unify customer data, allow audience segmentation, and personalize experiences in real-time, solving data issues and improving personalization.