AI Dispatch
agent · data analysis

Dot vs Wren AI

59 fields both were evaluated on, 28 of them different — including where one discloses something the other does not. Every value links to the document it came from. 31 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldDotWren AI
Audit trail·
Role-based access with full activity logs. Provable who saw what, which query produced which number.
www.getwren.ai · checked Aug 9, 2026
Explainability·
Fetched metrics from Tableau revenue_dashboard · 8 measures synced 1m ago Cross-checked Snowflake history query_log · validated 3 metric definitions 3m ago Pulled Confluence context Data Dictionary page · 12 terms enriched 5m ago Resolved naming conflict revenue_net · Tableau vs Snowflake 8m ago Context model updated 4 files · ready for review 10m ago
getdot.ai · checked Aug 1, 2026
Runtime governance·
SSO RBAC Row-Level Security
Analyst ✓ ✓ — ✓ — Executive ✓ ✓ ✓ ✓ ✓ Viewer — ✓ — — — Admin ✓ ✓ ✓ ✓ ✓ SSO RBAC Row-Level Security
getdot.ai · checked Aug 1, 2026
Permission scopes·
Compliance certifications·
Regulatory alignment·
Self-reported performance·
Self-reported customer-impact metrics from named case studies: "18x ROI," "12,000h+ saved," "10x ROI," and "€800K found."
12,000h+ saved
getdot.ai · checked Aug 9, 2026
A customer testimonial on the page claims "up to an 80% query hit rate"
delivers up to an 80% query hit rate
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Agency

FieldDotWren AI
Goal complexity·
Multi-dimensional analysis with drill-downs and full methodology.
Complex investigations, executive‑ready reports Multi-dimensional analysis with drill-downs and full methodology.
getdot.ai · checked Aug 1, 2026
Multi-step reasoning in a sandbox, positioned against single-turn chat
Agentic Design 01 Not just chat. Sandboxed, multi-step reasoning.
www.getwren.ai · checked Aug 9, 2026
Action space·
Dot finds the right tables, writes SQL, and generates a chart.
getdot.ai · checked Aug 1, 2026
Tools and scripts run inside an isolated environment. Agents query, chart, extract from PDFs, build dashboards, save skills.
www.getwren.ai · checked Aug 9, 2026
Operating environment·
Slack, Microsoft Teams, and email.
Get insights where you work: Slack, Microsoft Teams, and email.
getdot.ai · checked Aug 1, 2026
20+ data sources: BigQuery, PostgreSQL, ClickHouse, Amazon Redshift, and dialect-agnostic.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Initiative·
Ask in plain English. Dot finds the right tables, writes SQL, and generates a chart.
getdot.ai · checked Aug 1, 2026

Safety

FieldDotWren AI
Safety evaluations·
Safety policy·
Zero data retention on all LLM providers.
getdot.ai · checked Aug 1, 2026
Data handling·
Zero data retention on all LLM providers.
getdot.ai · checked Aug 1, 2026

Practicality

FieldDotWren AI
Pricing model·
Start free with open-source GenBI. Upgrade to full Agentic GenBI for governance, embedded API, and enterprise support.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Deployment options·
no-code integrations or Dot's API.
Connect with no-code integrations or Dot's API.
getdot.ai · checked Aug 1, 2026
Multi-tenant cloud, private cloud, and air-gapped on-prem.
www.getwren.ai · checked Aug 9, 2026
Integrations·
Slack, Microsoft Teams, and email.
Get insights where you work: Slack, Microsoft Teams, and email.
getdot.ai · checked Aug 1, 2026
20+ data sources including BigQuery, PostgreSQL, ClickHouse and Amazon Redshift
20+ data sources: BigQuery, PostgreSQL, ClickHouse, Amazon Redshift, and dialect-agnostic.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Supported regions·
Support model·
"Enterprise support" named as a paid-tier feature; no response times or remedies published
Upgrade to full Agentic GenBI for governance, embedded API, and enterprise support.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Foundation models

FieldDotWren AI
Fine-tuning·
You can train Dot to get better. Add instructions, examples, and business rules with Dot's context agent.
getdot.ai · checked Aug 1, 2026

Ecosystem

FieldDotWren AI
Protocols supported·
Dot's API.
Connect with no-code integrations or Dot's API.
getdot.ai · checked Aug 1, 2026
MCP; MDL, text-to-SQL and a CLI listed in the same capability row
MDL · text-to-SQL · MCP · CLI · 20+ connectors
www.getwren.ai · checked Aug 9, 2026
Tool use·
Dot finds the right tables, writes SQL, and generates a chart.
getdot.ai · checked Aug 1, 2026
API access·
Dot's API.
Connect with no-code integrations or Dot's API.
getdot.ai · checked Aug 1, 2026
Embedded AI API REST Build your own UX on the raw endpoints: natural language to governed SQL with execution, plus chart specs you render in your stack.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Open source·
Engine self-described as open source; no licence named on the page checked
The engine is open source. That's the difference.
www.getwren.ai · checked Aug 9, 2026

Impact

FieldDotWren AI
User base·
100+ top teams
Trusted by 100+ top teams
getdot.ai · checked Aug 1, 2026
Self-reported 15,000+ data experts and analytics teams. The same page separately claims 50,000+ users (see deployment_scale); the two figures are not reconciled on the page
Trusted by 15,000+ data experts and analytics teams worldwide.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Deployment scale·
Trusted by 50,000+ users worldwide. Public companies across the US, EU, Middle East, and Asia.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Target sectors·
financial analysis tasks from Adyen
Benchmarked on 450+ financial analysis tasks from Adyen
getdot.ai · checked Aug 1, 2026
Manufacturing, healthcare, finance, retail and media
Use cases in production across industries How companies across manufacturing, healthcare, finance, retail and media ship governed answers to humans and agents.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

High-risk domains·
financial analysis tasks from Adyen
Benchmarked on 450+ financial analysis tasks from Adyen
getdot.ai · checked Aug 1, 2026

Disclosed by neither

Both Dot and Wren AI publish nothing on these 31 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 31 identical table rows. Each is shown with its source check on the individual profiles.

  • Autonomy level
  • Human oversight
  • Documented incidents
  • Market recognition
  • Price point
  • Availability
  • Base models
  • Model provider
  • Model swappable
  • Open weights
  • Context window
  • Multi-agent
  • Marketplace presence
  • Red teaming
  • Usage restrictions
  • Model or system card
  • Incident reporting
  • Third-party evaluations
  • Insurance available
  • Own liability cover
  • Insurance carriers
  • Coverage limits
  • Indemnification
  • Liability cap
  • Tamper-evident log
  • Outcome-based pricing
  • Settlement mechanism
  • Asset custody
  • Dispute process
  • SLA terms
  • Evaluation coverage

Questions

How do Dot and Wren AI compare on goal complexity?
Dot: Multi-dimensional analysis with drill-downs and full methodology.. Wren AI: Multi-step reasoning in a sandbox, positioned against single-turn chat.
How do Dot and Wren AI compare on user base?
Dot: 100+ top teams. Wren AI: Self-reported 15,000+ data experts and analytics teams. The same page separately claims 50,000+ users (see deployment_scale); the two figures are not reconciled on the page.
How do Dot and Wren AI compare on target sectors?
Dot: financial analysis tasks from Adyen. Wren AI: Manufacturing, healthcare, finance, retail and media.
How do Dot and Wren AI compare on high-risk domains?
Dot: financial analysis tasks from Adyen. Wren AI: no public information disclosed.
How do Dot and Wren AI compare on integrations?
Dot: Slack, Microsoft Teams, and email.. Wren AI: 20+ data sources including BigQuery, PostgreSQL, ClickHouse and Amazon Redshift.
How do Dot and Wren AI compare on support model?
Dot: no public information disclosed. Wren AI: "Enterprise support" named as a paid-tier feature; no response times or remedies published.