Does WisdomAI have a free plan?

WisdomAI does not publish prices or offer self-serve signup. Its plans require a sales call. Dot offers a free plan without a credit card.

Does WisdomAI integrate with Microsoft Teams?

WisdomAI documents a native Slack app but no Microsoft Teams app. Dashboards can be emailed. Dot has native apps for both chat platforms.

Does WisdomAI replace Looker or Tableau?

WisdomAI's guide recommends moving off Looker and does not list a LookML connector. Dot uses existing LookML or dbt models as context.

All comparisons

Dot vs WisdomAI

Dot has published pricing, a Teams app, and direct dbt and Looker grounding. WisdomAI offers embedded analytics.

What are the differences between Dot and WisdomAI?

Showing 16 of 43 capabilities across 6 categories

02 / 10

Where can users receive answers?

Native Microsoft Teams app

Dot: Yes. Native Microsoft Teams app alongside Slack
WisdomAI: Partly. Docs claim Teams access; setup remains undocumented Source

Answers and reports by email

Dot: Yes. Full email surface for analysis and reports
WisdomAI: Partly. Dashboard email subscriptions only; not a Q&A surface Source

05 / 10

How do you know the data is correct?

Regression tests for important questions

Dot: Yes. Per-org eval suites drive ongoing accuracy tuning
WisdomAI: Partly. Thumbs-up/down feedback only; no formal eval suite Source

06 / 10

Who owns and maintains the business logic?

Business context lives in a repository you own

Dot: Yes. Two-way sync with your GitHub or GitLab
WisdomAI: No. Reads GitHub; context versioning remains inside ACE Source

Context and apps use Git and pull requests

Dot: Yes. Every publish is versioned through Git and PRs
WisdomAI: Partly. Versioning and drift detection, no human-approval gate Source

Context remains portable if you leave

Dot: Yes. Readable context and apps stay in your repository
WisdomAI: Partly. APIs expose context; bulk export remains undocumented Source

07 / 10

Which outputs can it produce?

Runs Python for statistical work

Dot: Yes. Writes and runs Python for statistical analysis
WisdomAI: Partly. Internal dataframe processing only; not user-exposed Source

White labeling and embedded analytics

Dot: Partly. Dashboard embedding; limited white-label controls
WisdomAI: Yes. Iframe, SDK, GraphQL, and white-label embedding Source

Notebook or IDE for analysts

Dot: No. No notebook or IDE; Python runs internally
WisdomAI: Yes. Full SQL playground with control and versioning Source

08 / 10

Which governance and security controls are included?

Security audit log

Dot: Yes. Security audit log with a SIEM export API
WisdomAI: Partly. Chat-history/usage log; no SIEM export documented Source

Self-hosting available

Dot: Partly. Self-hosted option available at the Enterprise tier
WisdomAI: Yes. SaaS, VPC/BYOC, or full on-prem deployment documented Source

Uses the platform's native governance

Dot: No. Separate service; warehouse queries, metadata sync
WisdomAI: Partly. Runs within Teradata AI Studio; elsewhere standalone Source

10 / 10

How do pricing and cost controls work?

Public, predictable pricing

Dot: Yes. Public pricing page with concrete tier prices
WisdomAI: No. No published pricing; contact sales for a number Source

Hard usage limits, spend visibility, and ROI

Dot: Yes. Set usage limits; track spend and ROI
WisdomAI: Partly. Seat or contract limits; ROI tracked separately Source

Free tier or trial

Dot: Yes. Free plan available, no credit card required
WisdomAI: No. No free tier; sales-led motion only Source

No new vendor to procure

Dot: No. New vendor; own procurement and security review
WisdomAI: Partly. Integrated into Teradata AI Studio for customers Source

Across all 43 capabilities

Dot36 supported2 partial5 not available

WisdomAI28 supported10 partial5 not available

Category	Decision point	Dot	WisdomAI
02 / 10Where can users receive answers?	Native Microsoft Teams app	Yes. Native Microsoft Teams app alongside Slack	Partly. Docs claim Teams access; setup remains undocumented Source
02 / 10Where can users receive answers?	Answers and reports by email	Yes. Full email surface for analysis and reports	Partly. Dashboard email subscriptions only; not a Q&A surface Source
05 / 10How do you know the data is correct?	Regression tests for important questions	Yes. Per-org eval suites drive ongoing accuracy tuning	Partly. Thumbs-up/down feedback only; no formal eval suite Source
06 / 10Who owns and maintains the business logic?	Business context lives in a repository you own	Yes. Two-way sync with your GitHub or GitLab	No. Reads GitHub; context versioning remains inside ACE Source
	Context and apps use Git and pull requests	Yes. Every publish is versioned through Git and PRs	Partly. Versioning and drift detection, no human-approval gate Source
	Context remains portable if you leave	Yes. Readable context and apps stay in your repository	Partly. APIs expose context; bulk export remains undocumented Source
07 / 10Which outputs can it produce?	Runs Python for statistical work	Yes. Writes and runs Python for statistical analysis	Partly. Internal dataframe processing only; not user-exposed Source
	White labeling and embedded analytics	Partly. Dashboard embedding; limited white-label controls	Yes. Iframe, SDK, GraphQL, and white-label embedding Source
	Notebook or IDE for analysts	No. No notebook or IDE; Python runs internally	Yes. Full SQL playground with control and versioning Source
08 / 10Which governance and security controls are included?	Security audit log	Yes. Security audit log with a SIEM export API	Partly. Chat-history/usage log; no SIEM export documented Source
	Self-hosting available	Partly. Self-hosted option available at the Enterprise tier	Yes. SaaS, VPC/BYOC, or full on-prem deployment documented Source
	Uses the platform's native governance	No. Separate service; warehouse queries, metadata sync	Partly. Runs within Teradata AI Studio; elsewhere standalone Source
10 / 10How do pricing and cost controls work?	Public, predictable pricing	Yes. Public pricing page with concrete tier prices	No. No published pricing; contact sales for a number Source
	Hard usage limits, spend visibility, and ROI	Yes. Set usage limits; track spend and ROI	Partly. Seat or contract limits; ROI tracked separately Source
	Free tier or trial	Yes. Free plan available, no credit card required	No. No free tier; sales-led motion only Source
	No new vendor to procure	No. New vendor; own procurement and security review	Partly. Integrated into Teradata AI Studio for customers Source
Across all 43 capabilities		Dot36 supported2 partial5 not available	WisdomAI28 supported10 partial5 not available

Conclusion

Choose for the analytics stack you want to end up with

The decision is not only which tool answers questions today. It is which product can become your analytics platform over time.

Choose WisdomAI for a managed AI layer with embedded delivery

Embedding supports iFrames, React, GraphQL, and white-labeling.
The company has raised $73 million in funding.
Uses PDFs, Confluence, Notion, Jira, and Slack as context.

Pricing

WisdomAI does not publish prices; plans require a sales call.
No free trial, free plan, or self-serve signup is listed.
SaaS, VPC, BYOC, and on-premises plans are quoted separately.

Source

Choose Dot for best-of-breed AI analytics that can replace BI

Connect Dot to the data sources and semantic models you already have, then start with one agent. Context, apps, and business logic stay version-controlled in a repository you own, so they never become a Dot-only asset. Add dashboards, reporting, and governed workflows as adoption grows, then retire BI software you no longer need.

Watch out

Dot is growing quickly. Its smaller team may not offer the same level of hands-on support as a larger vendor in every region.

Pricing

Free plan, no credit card
Pro at $200/month, or $180/month billed annually. Unlimited users.
Team at $800/month, or $720/month billed annually. Adds single sign-on and row-level security.
Enterprise is custom: self-hosting, SLAs, and volume terms

Full pricing

Why the pricing model matters

Frontier AI has variable inference cost. A vendor that relies only on seat pricing must eventually meter AI, absorb the cost, or limit capability. Dot makes usage visible, lets teams set limits, and tracks the return on that spend.

Receipts

Benchmarked against human analysts, and measured in production

DABStep is Adyen’s public data-analysis benchmark. Dot scored above trained human analysts. It is independently published and available to inspect. In production, customers report these outcomes.

18× ROI

Choco, from time saved on analytics

12,000+ hours

saved every year at Duolingo, across 5,000+ tables

99% faster

time-to-insight at Emerge

€800K found

in a single investigation at KRY

Every Dot answer shows its work. Click any number to inspect the query.