Dimension Labs connects customer conversations with business metrics to help teams investigate why figures change. It accepts call transcripts, chats, support tickets, surveys, CRM notes and emails alongside structured CRM, usage and financial data. Its AI agent answers questions in plain English and can produce evidence-backed reports, charts and causal findings. A Meaning Layer standardizes channels and enriches records with attributes such as intent, sentiment, root cause and risk. The platform describes traceability to source records, extraction logic and model-version lineage, with version control and audit trails. Connections are available through its Universal API, one-click integrations or API endpoints. Structured output can be exported to Snowflake, Databricks or BigQuery for BI tools including Tableau, Power BI and Hex. Dimension Labs lists cloud and on-prem deployment, plus SOC 2 and ISO 27001 compliance, GDPR and CCPA compliance, PII redaction, penetration testing and data deletion. The free Explore tier stops at 1,000 records per month. Paid plans start at $999 per month; Enterprise is custom, starting at $150,000 per year. The maker says there is no traditional free trial.

Who it is for

Dimension Labs names Sales, CX and Support, Customer Success, Product, and Data and Analytics teams as users. Its Enterprise plan is positioned for Fortune 500 and large enterprise organizations.

What is good

Combines conversational and structured business data.
Plain-English questions can produce evidence-backed reports.
Exports structured output to data warehouses.
Lists cloud and on-prem deployment.
Free Explore tier available.

What to know first

Explore stops at 1,000 monthly records.
No traditional free trial.
Paid plans start at $999 per month.
Enterprise starts at $150,000 per year.

Verdict

Dimension Labs brings customer conversations and structured metrics into a shared analysis workflow, with lineage and warehouse exports. The free tier has a hard monthly record cap, and paid plans begin at $999 per month.

Dimension Labs plans and pricing

All plans

Explore Free Free 1,000 records/mo · 1 data source · single-source AI Agent Q&A · CSV export · hard stop at 1,000 records dimensionlabs.io · 30 Sept 2026

Discover $999/mo Per Month; annual option $9,990/year, billed upfront 5,000 records/mo · 1 data source · unlimited intelligence reports · $0.15/record overage · Week 4 finding guarantee dimensionlabs.io · 30 Sept 2026

Prove $2,999/mo Per month; annual option $29,990/year, billed upfront 25,000 records/mo · up to 3 sources · causal findings with confidence intervals · warehouse export · $0.10/record overage dimensionlabs.io · 30 Sept 2026

Scale $6,999/mo Per month; annual option $69,990/year, billed upfront 100,000 records/mo · unlimited data sources · subgroup causal analysis · priority support SLA · $0.06/record overage dimensionlabs.io · 30 Sept 2026

Enterprise Not published Custom; starting at $150,000/year Unlimited records · unlimited sources · dedicated CSM · on-premise deployment option · HIPAA/GDPR alignment dimensionlabs.io · 30 Sept 2026

Compared on customer success analytics software

Free plan: Yes
Renewal risk analytics: Yes
Expansion analytics: Yes
Engagement analytics: Yes
Data source depth: multi-source

Best Dimension Labs alternatives

See all 20

Two bars Bruin for Customer Success Free tier No. 1Free6.6 One bar Muntri Free tier No. 2$299/mo6.5 One bar AccountLens Free tier No. 3$99/mo6.4 One bar CSI Pro Free tier No. 4Free6.4 One bar GainTrace Free tier No. 6$6.83/mo6.4 No signal Hook Paid plans No. 7—5.5

The record

Purpose

Dimension Labs connects customer conversations to business metrics so users can investigate why metrics move.

Data types

It accepts conversational data such as call transcripts, chats, support tickets, surveys, CRM notes and emails, along with structured CRM, usage and financial data.

Analysis

Its AI agent answers questions in plain English and can produce evidence-backed reports, charts and causal findings.

Meaning Layer

The platform normalizes channels and enriches records with dimensions such as intent, sentiment, root cause and risk.

Governance

The platform describes source-record traceability, extraction logic and model-version lineage, plus version control and audit trails.

Integrations

The maker says its Universal API can connect conversational data sources and that integrations include one-click connections or API endpoints.

Warehouse and BI

Structured output can be exported to Snowflake, Databricks or BigQuery and used with BI tools including Tableau, Power BI and Hex.

Security

The maker lists SOC 2 and ISO 27001 compliance, GDPR and CCPA compliance, PII redaction, penetration testing and data deletion.

Deployment

The platform page lists cloud or on-prem deployment, and the Enterprise plan includes an on-premise deployment option.

Support

The pricing page lists email support on plans, with priority support SLA on Scale and a dedicated customer success manager on Enterprise.

Limits

Explore has a hard stop at 1,000 monthly records; paid Discover, Prove and Scale tiers bill additional records at their tier-specific overage rates.

Evaluation

The maker calls Explore its evaluation tier and says it does not offer a traditional free trial; qualifying enterprise deals can use paid POCs.

Intended users

The pricing page positions Enterprise for Fortune 500 and large enterprise organizations; the platform names Sales, CX and Support, Customer Success, Product, and Data and Analytics teams.

Headquarters

San Francisco, California, United States

Price from

$999/mo