Seek AI

Name: Seek AI
Brand: Seek AI

Agentic AI for Data. Ask your data anything and get accurate answers faster. Delegate data work to trusted AI agents.

Est 2019|Valuation $30M|Raised $11.7M|19 Ref Customers

LinkedIn 125K|Web traffic 2K|FTEs 26|HQ Melbourne, Victoria, AU

MarketsNL & Conversational Analytics

01Competitive Landscape

Narrative competitive analysis

Seek AI vs. ThoughtSpot - ThoughtSpot is a broader analytics platform with an established BI feature set. Seek is positioned more narrowly as an interface for natural-language access to structured data and embedding that experience. - ThoughtSpot has publicly discoverable pricing and an extensive market presence; Seek's public pricing is less transparent in the reviewed materials. - Buyers should compare governance, auditability, and embedding features across both platforms. Seek AI vs. Looker - Looker is anchored by a semantic modeling layer with centralized governance and a mature BI ecosystem. If an organization already has a robust semantic model in Looker, adding another layer may duplicate functionality unless the new product demonstrably improves speed-to-answer or embedding UX. Seek AI vs. Snowflake Cortex Analyst - Snowflake's native text-to-SQL capability is attractive for teams that prioritize running solely within Snowflake's operational and security boundaries. - Seek's Snowflake Native App presents a similar "run inside Snowflake" approach; differences to evaluate include UX, governance features, workflow integrations, and accuracy on the buyer's schema.

Adoption trends / market signals

Distribution via Snowflake Marketplace and the acquisition by a large platform vendor indicate strategic interest in natural-language AI for analytics. Buyers should consider potential changes in product packaging and integration following the acquisition.

	Seek AI	ThoughtSpot	Snowflake Cortex Analyst
Starting Price	Not publicly listed (quote-based in reviewed sources)	Public pricing examples are available and published for several plans	Usage-based credits inside Snowflake; costs based on messages processed + warehouse execution costs
Primary fit	Organizations seeking natural-language-to-SQL agents, Slack/web Q&A, and embedding; suitable for deployments where a Snowflake-native option is desirable	Enterprises seeking a broader BI/search/AI analytics platform with governed dashboards and embedding	Snowflake-first teams that want native text-to-SQL and tight platform integration
Key Strength	Focus on human-in-the-loop workflows and multiple deployment modes (web, embedded, Snowflake Native App)	Mature BI platform features (dashboards, search analytics, embedding) and broad market adoption	Native Snowflake integration including billing/monitoring and platform conformity
Key Weakness	Limited public pricing and a relatively small independent review footprint; effectiveness depends on semantic readiness	Can be costly depending on usage patterns; broader BI capabilities may exceed needs for simple Q&A use cases	Best fit for Snowflake-centric environments; governance and governance tooling are still required

01Competitive Landscape

Narrative competitive analysis

Seek AI vs. ThoughtSpot

ThoughtSpot is a broader analytics platform with an established BI feature set. Seek is positioned more narrowly as an interface for natural-language access to structured data and embedding that experience.
ThoughtSpot has publicly discoverable pricing and an extensive market presence; Seek's public pricing is less transparent in the reviewed materials.
Buyers should compare governance, auditability, and embedding features across both platforms.

Seek AI vs. Looker

Looker is anchored by a semantic modeling layer with centralized governance and a mature BI ecosystem. If an organization already has a robust semantic model in Looker, adding another layer may duplicate functionality unless the new product demonstrably improves speed-to-answer or embedding UX.

Seek AI vs. Snowflake Cortex Analyst

Snowflake's native text-to-SQL capability is attractive for teams that prioritize running solely within Snowflake's operational and security boundaries.
Seek's Snowflake Native App presents a similar "run inside Snowflake" approach; differences to evaluate include UX, governance features, workflow integrations, and accuracy on the buyer's schema.

Adoption trends / market signals

Distribution via Snowflake Marketplace and the acquisition by a large platform vendor indicate strategic interest in natural-language AI for analytics. Buyers should consider potential changes in product packaging and integration following the acquisition.

	Seek AI	ThoughtSpot	Snowflake Cortex Analyst
Starting Price	Not publicly listed (quote-based in reviewed sources)	Public pricing examples are available and published for several plans	Usage-based credits inside Snowflake; costs based on messages processed + warehouse execution costs
Primary fit	Organizations seeking natural-language-to-SQL agents, Slack/web Q&A, and embedding; suitable for deployments where a Snowflake-native option is desirable	Enterprises seeking a broader BI/search/AI analytics platform with governed dashboards and embedding	Snowflake-first teams that want native text-to-SQL and tight platform integration
Key Strength	Focus on human-in-the-loop workflows and multiple deployment modes (web, embedded, Snowflake Native App)	Mature BI platform features (dashboards, search analytics, embedding) and broad market adoption	Native Snowflake integration including billing/monitoring and platform conformity
Key Weakness	Limited public pricing and a relatively small independent review footprint; effectiveness depends on semantic readiness	Can be costly depending on usage patterns; broader BI capabilities may exceed needs for simple Q&A use cases	Best fit for Snowflake-centric environments; governance and governance tooling are still required