AI software · Blaze Analytics vGmbH
Promote BlazeSQL
BlazeSQL
AI data analyst that queries your SQL database in seconds for technical and non-technical teams.
Partner summary
The offer at a glance
A quick read on buyer fit, pitch, economics, and promotion fit.
Best buyer
BI and analytics leads at data-bottlenecked teams
Main outcome
Cut ad-hoc reporting load on analysts by roughly a day and a half per week.
Commission
To be confirmed
Best channels
Partner Content, Newsletter, Linkedin, Comparison Pages
Terms
BlazeSQL handles SQL database connections and customer data. Promotions must avoid implying specific security certifications, payout guarantees, or compliance posture beyond what the public website states.
Main pitch
BlazeSQL is the AI data analyst that actually learns your SQL database. It auto-extracts schema, lets technical and non-technical teammates ask questions in plain language, and...
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
Blaze Pro
Primary$150/ month
Tracks Paid Subscription
- Specialized AI Data Analyst
- Graphs and dashboards
- Desktop version with private database connection
- Knowledge base
Blaze Advanced
$250/ month
Tracks Paid Subscription
- All Pro features
- AI-generated reporting emails
- Advanced analytics AI that can run Python
- Public and embeddable dashboards
- Priority support
Blaze Team
$400/ month
Tracks Paid Subscription
- Standard plan for teams
- Includes 3 users, $50 per extra user
- AI Data Analyst
- Desktop app for private database connections
- Dashboards and agent reports
Blaze Team Advanced
$800/ month
Tracks Paid Subscription
- Enhanced plan for teams
- Includes 3 users, $75 per extra user
- Dynamic integration with any source
- Advanced AI model with forecasting and statistical analysis
- Computer agent for deep research and PDF generation
Blaze Enterprise
Custom/ custom
Tracks Enterprise Contract
- SSO login via SAML or OpenID Connect
- Unlimited access groups with table and column restrictions
- Self-hosting storage for query results
- SLAs and dedicated support
- Bulk seat pricing tiers
Who this converts for
The buyers this offer is shaped for. Match your reach to the strongest audience fit.
BI and analytics leads at data-bottlenecked teams
Heads of BI, analytics managers, and data leads who own ad-hoc reporting and want to remove themselves as the bottleneck for the rest of the business.
Pain points
- Backlog of ad-hoc data requests from across the company
- Non-technical teammates cannot get answers without an SQL-savvy person
- Hard to scale BI coverage without adding headcount
- Backlog of ad-hoc SQL requests
- Non-technical staff cannot self-serve from the database
- Building embedded analytics in-house takes months
- Existing BI tools require dashboards to be pre-built for every question
Desired outcomes
- Free up analyst time for higher-value work
- Let business teams self-serve trusted answers
- Scale BI coverage without hiring
- Free analyst time for higher-value work
- Self-service answers across the business
- Faster turnaround on reports and benchmark studies
- Ship branded embedded analytics in a SaaS product without a long internal build
Non-technical operators and team leads
Operations, customer success, onboarding, and product teammates who need answers from the database without writing SQL.
Pain points
- Cannot write SQL but needs answers from the database
- Waiting on analysts for routine questions
- Spreadsheets and CSV exports slow down decisions
Desired outcomes
- Self-serve answers from the database
- Build personal dashboards without engineering help
- Troubleshoot customer issues independently
Founders and operators of small SQL-driven businesses
Founders, COOs, and CTOs of small teams who use SQL daily and want an AI co-pilot to write complex queries faster.
Pain points
- Burns mental energy writing routine SQL
- Limited engineering time available for data work
- Needs to test hypotheses quickly without engineering tickets
Desired outcomes
- Move faster on data questions
- Reduce SQL toil for the leadership team
- Test hypotheses without engineering involvement
SaaS product and engineering teams shipping embedded analytics
Product, engineering, and founder teams at SaaS companies that want to ship a branded AI data chat and customer-facing analytics inside their own product.
Pain points
- Customers keep requesting custom reports
- Building embedded analytics in-house takes months
- Need multi-tenant row-level data isolation done right
Desired outcomes
- Ship a branded AI analytics surface in weeks
- Sell analytics as a premium tier
- Keep API keys server-side and enforce per-tenant access
Teams running a SQL data warehouse who need both technical and non-technical users to get answers
Help business and product teams ask questions of a SQL database and get trusted, governed answers without writing SQL or waiting on the BI team.
plus SaaS companies that want to ship branded embedded AI analytics with row-level access controls
Help business and product teams ask questions of a SQL database and get trusted, governed answers without writing SQL or waiting on the BI team.
Why partners convert here
When to pitch this, and the outcomes the buyer actually gets.
Use cases
- Eliminate the ad-hoc reporting bottleneck
- Eliminate the ad-hoc reporting bottleneck
- Enable non-technical self-service analytics
- Enable non-technical self-service analytics
- Ship white-label embedded AI analytics in a SaaS product
- Ship white-label embedded AI analytics in a SaaS product
- Autonomous research and reporting from one question
- Autonomous research and reporting from one question
Outcomes
Cut ad-hoc reporting load on analysts by roughly a day and a half per week.
EvidenceServe the entire business from a small BI function without adding headcount.
EvidenceDrive broad self-service analytics adoption across technical and non-technical teams.
EvidenceFree analyst time for higher-value work
Self-service answers across the business
Faster turnaround on reports and benchmark studies
Ship branded embedded analytics in a SaaS product without a long internal build
Over 2 million questions answered
EvidenceSaved around a day and a half per week at Trengo
EvidenceBI scaled without additional headcount at Kudosity
EvidenceBroad non-technical adoption at Poppy Mobility
EvidencePrivacy-first architecture with zero data retention on AI calls
EvidenceSupports the most popular SQL databases
EvidenceBefore · After
Eliminate the ad-hoc reporting bottleneck
Before
Analysts spend most of the week clearing a backlog of ad-hoc SQL requests for the rest of the business.
After
Teammates ask BlazeSQL directly, get the answer, and only escalate when the question is genuinely complex.
Expected outcome: BI team reallocates significant time to strategic work while non-technical teams get answers faster.
What makes this different
Where this offer beats the alternatives.
Self-learning AI that extracts schema and improves from feedback
Both technical and non-technical modes in one product
Available where users work: ChatGPT, Claude, Slack, and Microsoft Teams
Privacy-first deployment with local desktop mode and Zero Data Retention
White-label embedded analytics with API-driven user and row-level access controls
Promotion strategy
Partner playbook
Angles, questions, objections, and inputs to keep outreach sharp.
Value proposition
AI data analyst that queries your SQL database in seconds for technical and non-technical teams.
How to pitch
BlazeSQL is the AI data analyst that actually learns your SQL database. It auto-extracts schema, lets technical and non-technical teammates ask questions in plain language, and ships answers as charts, dashboards, or full PDF and interactive reports. SaaS teams can also embed and white-label BlazeSQL with server-side auth and row-level access controls.
Positioning
For BI leaders and SaaS teams who want trusted, self-learning AI analytics on top of their SQL database without giving up control over access and data isolation.
Best angles to test
- Replace the ad-hoc reporting ticket queue for BI teams
- ChatGPT, Claude, Slack, and Microsoft Teams as the entry point for data questions
- White-label embedded analytics as a premium SaaS tier
- Privacy-first deployment with local desktop mode and Zero Data Retention
- Autonomous research plus SQL plus report generation in one thread
- BlazeSQL is an AI data analyst that connects to your SQL database
- Supports technical and non-technical users in one product
- Available inside ChatGPT, Claude, Slack, and Microsoft Teams
- Offers desktop, web, and Database Connection API deployment models
- Supports white-label embedded analytics with row-level access controls
- Encrypts data at rest and in transit and runs AI calls with Zero Data Retention
- Over 2 million questions answered across customers
Angles to avoid
- Do not claim guaranteed revenue
- Do not claim results are typical
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not claim specific customer logos as paying users without founder confirmation
- Do not promise specific uptime, SLAs, or security certifications beyond what the website states
Discovery questions
- How large is your ad-hoc data request backlog and who handles it today?
- Which non-technical teams are blocked from getting answers without writing SQL?
- Do your customers ask for custom reports or in-product analytics today?
- What SQL warehouse or databases power your reporting?
- Do you need row-level access controls for multi-tenant or customer-facing analytics?
Disqualifiers
- Organizations without a SQL database
- teams with strict bans on AI-assisted query generation
- or environments that cannot allow any third-party access to schema metadata.
Target keywords
Objections & responses
“We are worried about sending production database content to a third-party AI.”
Response: BlazeSQL only needs schema metadata to generate queries. The desktop app and Database Connection API keep query results local, and AI calls run with Zero Data Retention on Google Vertex AI, so customer data is not stored by the model provider or used for training.
“Non-technical users will write bad questions and get misleading answers.”
Response: BlazeSQL learns your schema, captures categorical values, lets you add knowledge base descriptions, and measures its own accuracy from feedback so non-technical teams can be onboarded with guardrails.
“We already have a BI tool, why add another layer?”
Response: BlazeSQL is not a replacement dashboard tool. It removes the SQL bottleneck in front of any existing warehouse and meets people in ChatGPT, Claude, Slack, and Microsoft Teams. Dashboards remain available where you need them.
“We need customer-specific data isolation for embedded analytics.”
Response: The embedded product supports API-driven user management, per-database access scoping, and row-access filter IDs so each customer sees only their data inside a multi-tenant deployment.
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
- BlazeSQL is an AI data analyst that connects to your SQL database
- Supports technical and non-technical users in one product
- Available inside ChatGPT, Claude, Slack, and Microsoft Teams
- Offers desktop, web, and Database Connection API deployment models
- Supports white-label embedded analytics with row-level access controls
- Encrypts data at rest and in transit and runs AI calls with Zero Data Retention
- Over 2 million questions answered across customers
Claims to avoid
- Do not claim guaranteed revenue
- Do not claim results are typical
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not claim specific customer logos as paying users without founder confirmation
- Do not promise specific uptime, SLAs, or security certifications beyond what the website states
Compliance notes
- BlazeSQL handles SQL database connections and customer data. Promotions must avoid implying specific security certifications, payout guarantees, or compliance posture beyond what the public website states.
Evidence
Proof & trust signals
Claims, evidence links, and operational trust signals partners can lean on.
Proof points
- Cut ad-hoc reporting load on analysts by roughly a day and a half per week.
- Serve the entire business from a small BI function without adding headcount.
- Drive broad self-service analytics adoption across technical and non-technical teams.
- Questions answered: 2,000,000 questions
- Free analyst time for higher-value work
- Self-service answers across the business
- Faster turnaround on reports and benchmark studies
- Ship branded embedded analytics in a SaaS product without a long internal build
- Over 2 million questions answered
- Saved around a day and a half per week at Trengo
- BI scaled without additional headcount at Kudosity
- Broad non-technical adoption at Poppy Mobility
- Privacy-first architecture with zero data retention on AI calls
- Supports the most popular SQL databases
Proof links
- BlazeSQL homepage
Product homepage and primary positioning page.
- White Label & Embedded Analytics
Embedded analytics product page covering branding, auth, and row-level access controls.
- BlazeSQL team pricing
Team, Team Advanced, and Enterprise pricing.
About Blaze Analytics vGmbH
BlazeSQL is an AI data analyst that connects to a company's SQL database and turns natural-language questions into trusted queries, dashboards, and reports. It auto-extracts schema, learns from feedback, and supports technical SQL users alongside non-technical business users via chat, Slack, Microsoft Teams, ChatGPT, and Claude. SaaS teams can also embed and white-label BlazeSQL inside their own product with API-driven user management and row-level access controls.
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