Shape

Name: Shape
Brand: Shape

AI Native

Get data insights without knowing SQL

Est 2021|Raised $130K

LinkedIn 221|Website|FTEs 15|HQ London, England, GB

MarketsNL & Conversational Analytics

01Competitive Landscape

Narrative analysis

#### Where Shape may perform well - Price-to-entry: Published starter pricing is materially lower than typical enterprise BI commitments. - Slack-first workflow: Built-in Slackbot can reduce friction for ad-hoc questions. - Embedded analytics: API and React components can appeal to SaaS teams building customer-facing analytics features. #### Where competitors can be stronger - Metabase: Stronger classic BI feature depth (dashboards, self-hosting, admin controls) and an open-source deployment option. - Power BI + Copilot/Fabric: For Microsoft-centric organizations, the integration and governance story may be more complete, though Copilot availability has capacity requirements. - Looker: Strong semantic modeling and governance (LookML) for organizations requiring consistent metric definitions across teams. - ThoughtSpot: More established in search/AI BI, typically oriented to enterprise deployments with prepared data. - Hex: Strong for analyst-led workflows (notebooks and data apps), less focused on broad natural-language access. #### Adoption trends and market signals - Shape is listed in an accelerator/company directory, but public market share or customer count is not disclosed. - Review site presence exists but appears too thin or misclassified to serve as a strong adoption indicator.

	Shape	Metabase	ThoughtSpot
Starting Price	Published starter pricing available from the vendor	Open-source option available; published cloud starter and per-user pricing available from the vendor	Public pricing exists but is often tiered and enterprise-leaning; many deployments are quote-based
Best For	Teams seeking natural-language querying, Slack integration, and basic embedded AI-assisted analytics quickly	Teams seeking conventional BI with optional AI assistant; strong fit for self-hosted/open source	Enterprises seeking search/AI over governed data with robust BI capabilities
Key Strength	Low entry pricing; emphasis on including assumptions and caveats in answers; embedding via API/React; Slack-integrated delivery	Mature BI/dashboards; open-source option; clearer control if self-hosted; SSO/SCIM available in higher tiers	Established presence in search/AI BI; broad enterprise feature set
Key Weakness	Limited public evidence of enterprise-scale deployments; security/compliance beyond SOC 2 Type I not clearly documented; sparse verified reviews	Metabot AI not available in open source; costs can scale with users; may require more analyst work than NLQ-first tools	Cost and procurement complexity; reliance on governed data models; pricing and packaging perceived as complex by some users

01Competitive Landscape

Narrative analysis

Where Shape may perform well

Price-to-entry: Published starter pricing is materially lower than typical enterprise BI commitments.
Slack-first workflow: Built-in Slackbot can reduce friction for ad-hoc questions.
Embedded analytics: API and React components can appeal to SaaS teams building customer-facing analytics features.

Where competitors can be stronger

Metabase: Stronger classic BI feature depth (dashboards, self-hosting, admin controls) and an open-source deployment option.
Power BI + Copilot/Fabric: For Microsoft-centric organizations, the integration and governance story may be more complete, though Copilot availability has capacity requirements.
Looker: Strong semantic modeling and governance (LookML) for organizations requiring consistent metric definitions across teams.
ThoughtSpot: More established in search/AI BI, typically oriented to enterprise deployments with prepared data.
Hex: Strong for analyst-led workflows (notebooks and data apps), less focused on broad natural-language access.

Adoption trends and market signals

Shape is listed in an accelerator/company directory, but public market share or customer count is not disclosed.
Review site presence exists but appears too thin or misclassified to serve as a strong adoption indicator.

	Shape	Metabase	ThoughtSpot
Starting Price	Published starter pricing available from the vendor	Open-source option available; published cloud starter and per-user pricing available from the vendor	Public pricing exists but is often tiered and enterprise-leaning; many deployments are quote-based
Best For	Teams seeking natural-language querying, Slack integration, and basic embedded AI-assisted analytics quickly	Teams seeking conventional BI with optional AI assistant; strong fit for self-hosted/open source	Enterprises seeking search/AI over governed data with robust BI capabilities
Key Strength	Low entry pricing; emphasis on including assumptions and caveats in answers; embedding via API/React; Slack-integrated delivery	Mature BI/dashboards; open-source option; clearer control if self-hosted; SSO/SCIM available in higher tiers	Established presence in search/AI BI; broad enterprise feature set
Key Weakness	Limited public evidence of enterprise-scale deployments; security/compliance beyond SOC 2 Type I not clearly documented; sparse verified reviews	Metabot AI not available in open source; costs can scale with users; may require more analyst work than NLQ-first tools	Cost and procurement complexity; reliance on governed data models; pricing and packaging perceived as complex by some users