Tidepool
Tidepool is an AI tool developed by Aquarium that specializes in product analytics for AI text interfaces. It employs advanced algorithms t...
Last verified:
What is Tidepool?
Tidepool is a product analytics platform designed specifically for AI text interfaces, helping product teams analyze chat conversations, user feedback, LLM prompts, and other text interactions to make better product decisions. The tool uses neural network embeddings to automatically group unstructured text data by similarity, revealing patterns like prompt topics, languages, and common usage patterns that can be turned into shortcuts.
Key features include automatic clustering of user text interactions, LLM-powered summarization of cluster attributes, tracking attributes in production traffic to correlate with product outcomes, and a no-code interface that works for both technical analysts and non-technical stakeholders. Tidepool uses lightweight classifiers to efficiently categorize new data and scales to datasets with billions of tokens, connecting text data to business metrics like revenue conversion, user segmentation, and model accuracy.
Tidepool is ideal for product teams building AI-enabled applications, AI developers working with LLMs, analytics teams on Snowflake, and businesses that need to understand customer text interactions. The tool integrates into existing product analytics stacks via SDK, CDP, or reverse-ETL, and offers warehouse-native integrations with Snowflake for production-scale text datasets.
The platform helps teams get meaningful insights from unstructured text interactions without keyword searches in SQL or one-off Jupyter notebooks, enabling faster progress to product-market fit with the first generation of LLM-enabled products.
Tidepool pricing
Pricing model: Paid
Tidepool offers three pricing tiers: Starter (Free plan with limited features), Growth at $200 per month, and Enterprise with custom pricing based on specific needs. No free trial is available. The Free Plan includes limited features while the Enterprise Plan offers custom pricing for clinics or health systems. For detailed Enterprise pricing, contact the Tidepool team directly.
Tidepool pros
- Automatically groups text data by similarity using neural network embeddings
- LLM-powered summarization identifies what each cluster contains
- Tracks attributes in production and correlates to product outcomes
- No-code interface accessible to technical and non-technical users
- Lightweight classifiers efficiently categorize new data at scale
- Scales to datasets with billions of tokens
- Connects text data to revenue conversion and business metrics
- Warehouse-native Snowflake integration for production-scale analysis
- Integrates with existing analytics stacks via SDK, CDP, or reverse-ETL
- Eliminates need for keyword searches in SQL databases
- No requirement for one-off Jupyter notebook analysis
- Automatically surfaces prompt topics, languages, and usage patterns
- Users can create attributes defined in natural language
- LLL categorizes subset for user review and refinement
- Export categorized outputs to data warehouse for BI tools like Mode or Looker
Tidepool cons
- Growth plan starts at $200 per month, may be expensive for small teams
- No free trial available
- Free plan has limited features
- Enterprise pricing is custom and requires contacting sales
- Requires uploading user text interaction events first
- Specific to AI text interfaces, not general visual UI analytics
- May require data infrastructure integration (SDK, CDP, reverse-ETL)
- Lightweight models run on foundation model embeddings, requiring ML setup
Frequently asked questions about Tidepool
What is Tidepool?
Tidepool is a product analytics platform for AI text interfaces that helps product teams find patterns in user text interactions to make better product decisions. It analyzes chat conversations, user feedback, LLM prompts, and more using neural network embeddings to automatically group data by similarity and surface insights.
How does Tidepool analyze text data?
Tidepool uses neural network embeddings to automatically group user text interactions by similarity. It runs embedding clustering to surface attributes like prompt topics, languages, and usage patterns. LLMs then summarize what each cluster contains, and lightweight embedding classifiers efficiently categorize all existing and future data at scale.
Who should use Tidepool?
Tidepool is designed for product teams building AI-enabled applications, AI developers working with LLMs, analytics teams on Snowflake, and businesses that need to understand customer text interactions. It works for both technical analysts and non-technical stakeholders through its no-code interface.
What data can Tidepool analyze?
Tidepool analyzes chat conversations, user feedback, LLM prompts, user text interactions, review sentiment, messages mentioning specific topics, and prompts containing code snippets. It can handle any unstructured text data from AI text interfaces including prompt topics, languages, and usage patterns.
Does Tidepool integrate with Snowflake?
Yes, Tidepool now supports warehouse-native integrations into Snowflake, making it easier for analytics teams on Snowflake to derive valuable insights from production-scale text datasets they have stored there. This integration simplifies getting started for teams already using Snowflake.
How do I integrate Tidepool with my existing stack?
Tidepool integrates into existing product analytics stacks via SDK, CDP (Customer Data Platform), or reverse-ETL. You can integrate it with your existing data infrastructure and then either chart categorized outputs in Tidepool or export them back to your data warehouse for analysis in BI tools like Mode or Looker.
What is an attribute in Tidepool?
An attribute is a characteristic of the data you want to analyze, defined in natural language. Examples include 'sentiment of reviews,' 'messages mentioning legal topics,' or 'prompts containing code snippets.' Tidepool structures unstructured text by finding categories for that attribute, like 'positive vs negative vs neutral sentiment.'
How does Tidepool scale to large datasets?
Tidepool uses lightweight classifiers running on foundation model embeddings to scalably extract attributes from hundreds of millions of interaction events in production. The lightweight embedding classifiers cheaply categorize all existing and future data, allowing the platform to scale to datasets with billions of tokens.
What is the pricing for Tidepool?
Tidepool offers three plans: Starter (Free with limited features), Growth at $200 per month, and Enterprise with custom pricing. No free trial is available. Enterprise pricing is custom and depends on specific needs like patient volume. Contact the Tidepool team directly for detailed Enterprise pricing.
Can I export Tidepool analysis results?
Yes, you can export categorized outputs back to your data warehouse for further analysis in business intelligence tools like Mode or Looker. You can also chart the categorized outputs directly within Tidepool's intuitive visual interface to explore subcategories and analyze specific conversations.