AI software · Omni Analytics
Promote Omni Analytics
Omni Analytics
AI analytics platform that turns your data into a trusted source of truth so anyone can get answers in seconds.
Partner summary
The offer at a glance
A quick read on buyer fit, pitch, economics, and promotion fit.
Best buyer
Data and analytics teams
Main outcome
Provide self-service analytics for 700+ monthly users with governed AI.
Commission
To be confirmed
Best channels
Founder Led Outreach, Warm Intro, Content Marketing, Comparison Articles
Terms
Founder confirmation required before promotion.
Main pitch
Pitch Omni as the AI analytics platform built on a governed semantic model: business users ask questions in natural language and trust the answers, data teams keep one source of...
Economics
Partner terms
Commission, pricing model, and review timing for this listing.
Commercial terms
Partner terms
Founder confirmation required before partners promote this listing.
- Commission
- To be confirmed
- Pricing
- Subscription
- Duration
- —
- Review period
- 30 days
Pricing tiers
Request demo
PrimaryCustom/ month
Tracks Demo Request
- 1:1 meeting with the Omni team
- Walk-through tailored to your data stack
- Discussion of AI, BI, and embedded use cases
Free trial
Custom/ month
Tracks Trial Signup
- Hands-on access to Omni with your data
- Connect a warehouse and start querying
- Try AI chat, dashboards, workbooks, and spreadsheets
Who this converts for
The buyers this offer is shaped for. Match your reach to the strongest audience fit.
Data and analytics teams
Heads of data, analytics engineers, and analysts owning the warehouse-to-BI stack and rolling out AI on top of governed metrics.
Pain points
- Backlog of ad-hoc reporting requests
- AI tools that hallucinate without business context
- Inconsistent metrics across tools
- AI analytics tools that hallucinate without business context
- Data teams overwhelmed with ad-hoc reporting requests
- Inconsistent metrics across BI tools, spreadsheets, and AI bots
- Slow, costly path to ship customer-facing analytics inside a product
Desired outcomes
- Govern metrics once for BI and AI
- Enable self-service across the business
- Ship AI analytics users trust
- Trustworthy AI answers grounded in a semantic model
- Self-service analytics that frees up the data team
- One source of truth for BI, embedded analytics, and external AI tools
- Faster launch of AI-powered features in customer-facing products
Business and operations teams
Finance, marketing, sales, ops, and customer leaders who need fast, governed answers without learning SQL.
Pain points
- Waiting on the data team for routine answers
- Spreadsheet exports that drift from live data
- Different tools showing different numbers
Desired outcomes
- Ask in plain English and trust the answer
- Use Excel-style formulas on live data
- Get scheduled insights and alerts in Slack and email
Product and engineering teams building embedded analytics
Product, engineering, and growth leaders shipping customer-facing dashboards and AI features inside SaaS products.
Pain points
- In-house analytics never matches the brand
- Slow and costly to ship AI features
- Embedded BI tools that are hard to customize
Desired outcomes
- Ship white-labeled analytics quickly
- Add natural-language querying to the product
- Create premium analytics-driven product tiers
AI and platform engineering teams
Teams adopting MCP-based agents in Claude, ChatGPT, Cursor, and custom chatbots that need a governed data source.
Mid-market and enterprise teams with a cloud data warehouse who want unified BI and AI on a governed semantic layer
Help anyone in the company get a trustworthy answer from data — through BI, AI, or an embedded experience — without waiting on the data team and without sacrificing governance.
Help anyone in the company get a trustworthy answer from data — through BI, AI, or an embedded experience — without waiting on the data team and without sacrificing governance
Help anyone in the company get a trustworthy answer from data — through BI, AI, or an embedded experience — without waiting on the data team and without sacrificing governance.
Why partners convert here
When to pitch this, and the outcomes the buyer actually gets.
Use cases
- Self-service AI chat backed by a governed semantic model
- Self-service AI chat backed by a governed semantic model
- Unified BI with dashboards, workbooks, spreadsheets, and SQL
- Unified BI with dashboards, workbooks, spreadsheets, and SQL
- Embedded AI analytics inside your SaaS product
- Embedded AI analytics inside your SaaS product
- Query governed data from external AI tools via MCP and APIs
- Query governed data from external AI tools via MCP and APIs
Outcomes
Enable a 100+ person organization with a 3-person data team.
EvidenceLaunch customer-facing AI analytics in weeks instead of months.
EvidenceMeet enterprise security and compliance requirements out of the box.
EvidenceTrustworthy AI answers grounded in a semantic model
Self-service analytics that frees up the data team
One source of truth for BI, embedded analytics, and external AI tools
Faster launch of AI-powered features in customer-facing products
Cribl supports 700+ monthly self-service users on Omni
EvidencePhotoroom 3-person data team enables 100+ employees
EvidenceActiveProspect rebuilt embedded dashboards in under two weeks
EvidenceUscreen launched a revamped analytics offering in one month
EvidenceStandard Metrics shipped customer-facing AI analytics in under three months
EvidenceEnterprise security and compliance
EvidenceCustomer roster spans enterprise brands
EvidenceSOC 2, HIPAA, and GDPR compliance
EvidencePublic customer logos include Condé Nast, BuzzFeed, Perplexity, Mercury, Guitar Center, dbt Labs, and BambooHR
EvidenceBefore · After
Self-service AI chat backed by a governed semantic model
Before
Users wait for analysts to answer routine questions, or rely on generic AI tools that hallucinate metrics.
After
Omni's AI uses the semantic layer to interpret questions, run governed queries, and return answers with supporting evidence.
Expected outcome: Faster answers for business users and fewer ad-hoc requests for the data team.
What makes this different
Where this offer beats the alternatives.
Unified BI: dashboards, workbooks, spreadsheets, SQL, and AI chat in one platform
Shared semantic model powering BI, embedded, and external AI through MCP and APIs
Excel-style formulas on live, governed data
Built-in Modeling Agent and Skills for agent-driven model development
Branch mode, Git, and CI/CD for safe AI and analytics deployments
Native bi-directional dbt integration
Promotion strategy
Partner playbook
Angles, questions, objections, and inputs to keep outreach sharp.
Value proposition
AI analytics platform that turns your data into a trusted source of truth so anyone can get answers in seconds.
How to pitch
Pitch Omni as the AI analytics platform built on a governed semantic model: business users ask questions in natural language and trust the answers, data teams keep one source of truth across BI and AI, and product teams ship embedded AI analytics in weeks instead of months.
Positioning
Omni unifies AI chat, dashboards, workbooks, spreadsheets, and SQL on a shared semantic layer, so the same governed metrics power internal BI, embedded analytics, and external AI tools through its MCP server and APIs.
Best angles to test
- Trustworthy AI on your data because of the semantic layer
- Replace Looker, Tableau, or Power BI with one unified platform
- Ship embedded AI analytics in weeks instead of quarters
- Make Claude, ChatGPT, and Cursor query your governed metrics via MCP
- Excel-style formulas on live, governed data
- AI analytics platform built on a governed semantic model
- Unified BI with dashboards, workbooks, spreadsheets, SQL, and AI chat
- Embedded analytics with SSO, APIs, and an MCP server
- Native integrations with Snowflake, Databricks, BigQuery, Redshift, Postgres, dbt, and more
- SOC 2, HIPAA, and GDPR compliance per omni.co
Angles to avoid
- Do not claim guaranteed revenue lift or specific metric improvements without a published case study
- Do not claim official partnership with Omni before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not claim results are typical
- Do not name specific Omni customers as references unless quoted from the public website
Discovery questions
- Which BI tool are you using today and what is your renewal timeline?
- Where does your governed semantic layer live today (Looker, dbt, in-house)?
- Are you building or shipping customer-facing analytics inside your product?
- What is your warehouse — Snowflake, Databricks, BigQuery, Redshift, Postgres?
- Are you adopting MCP-based AI tools like Claude, ChatGPT, or Cursor?
Disqualifiers
- Companies without any cloud warehouse
- that need only a single static dashboard
- or that are unwilling to invest in any semantic modeling.
Target keywords
Objections & responses
“We already use Looker, Tableau, or Power BI — why switch?”
Response: Omni unifies dashboards, workbooks, spreadsheets, SQL, and AI chat on one governed semantic layer, so teams stop juggling tools and avoid metric drift. Compare pages on omni.co document direct trade-offs versus each incumbent.
“AI on top of our data will hallucinate and give bad answers.”
Response: Omni's AI is grounded in the semantic layer your team already governs, with curated Topics, endorsed queries, and admin-visible usage logs to tune accuracy. Permissions and branch mode let you launch safely.
“Building embedded analytics ourselves is too slow and expensive.”
Response: Omni offers SSO embedding, APIs, an MCP server, CSS-level customization, and developer controls, so product teams ship branded customer-facing analytics in weeks instead of quarters.
“We need enterprise security and compliance before adopting a new BI tool.”
Response: Omni publishes SOC 2, HIPAA, and GDPR compliance, role-based access controls, and audit logs for embedded deployments.
“Business users will not adopt yet another tool.”
Response: Business users can ask in natural language, work in familiar Excel-style formulas on live data, or use a point-and-click field picker — no SQL required — and receive insights via Slack and email.
Rules
Promotion rules
Where you can promote, what is restricted, and what the founder requires.
Allowed channels
Restricted channels
- AI-generated content
- Yes
- Content reuse
- No
- Founder approval
- Yes
Approved claims
- AI analytics platform built on a governed semantic model
- Unified BI with dashboards, workbooks, spreadsheets, SQL, and AI chat
- Embedded analytics with SSO, APIs, and an MCP server
- Native integrations with Snowflake, Databricks, BigQuery, Redshift, Postgres, dbt, and more
- SOC 2, HIPAA, and GDPR compliance per omni.co
Claims to avoid
- Do not claim guaranteed revenue lift or specific metric improvements without a published case study
- Do not claim official partnership with Omni before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not claim results are typical
- Do not name specific Omni customers as references unless quoted from the public website
Evidence
Proof & trust signals
Claims, evidence links, and operational trust signals partners can lean on.
Proof points
- Monthly active business users: 700 users
- Enable a 100+ person organization with a 3-person data team.
- Launch customer-facing AI analytics in weeks instead of months.
- Meet enterprise security and compliance requirements out of the box.
- Trustworthy AI answers grounded in a semantic model
- Self-service analytics that frees up the data team
- One source of truth for BI, embedded analytics, and external AI tools
- Faster launch of AI-powered features in customer-facing products
- Cribl supports 700+ monthly self-service users on Omni
- Photoroom 3-person data team enables 100+ employees
- ActiveProspect rebuilt embedded dashboards in under two weeks
- Uscreen launched a revamped analytics offering in one month
- Standard Metrics shipped customer-facing AI analytics in under three months
- Enterprise security and compliance
- Customer roster spans enterprise brands
- SOC 2, HIPAA, and GDPR compliance
- Public customer logos include Condé Nast, BuzzFeed, Perplexity, Mercury, Guitar Center, dbt Labs, and BambooHR
Proof links
- Omni Analytics favicon
Omni Analytics favicon used as logo placeholder
- Omni Analytics social share image
Open Graph unfurl image for Omni Analytics
- Dashboards in Omni
Custom visualizations, drill-downs, and filters in Omni dashboards
About Omni Analytics
Omni combines AI chat, dashboards, workbooks, spreadsheets, and SQL on a shared semantic model, so data teams can govern metrics once while business users self-serve answers, and product teams can embed AI-powered analytics in their own applications.
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Listing transparency
Company activation will confirm the remaining commercial and tracking details.