Sprinkle Data
Sprinkle Data is a Bangalore-based SaaS company, founded in 2017, that sells an agentic analytics platform for enterprise data teams, combining connectors, SQL/Python pipelines, dashboards, embedded analytics, and autonomous AI agents that run on top of Snowflake, BigQuery, Redshift, and Databricks.
- Company typePrivate
- Founded2017
- HeadquartersBangalore City, India
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Sprinkle Data does
Sprinkle Data is a Bangalore-headquartered, private SaaS company founded in 2017 that sells an agentic analytics platform targeting enterprise data teams at fast-growing companies. The product unifies five traditionally separate layers — connectors, data transformation (SQL and Python pipelines), drag-and-drop dashboards, embedded analytics, and autonomous AI agents — into a single governed platform that runs on top of customers' existing cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks). Its flagship capability, Sprinkle Agents v2 (launched August 2024), accepts plain-English questions, queries the warehouse, validates the data, drafts root-cause-analysis reports, and ships the insight to Slack with full lineage, materially reducing ad-hoc analytics backlog (Sprinkel cites a 40% reduction after 90 days at Swiggy and 98% faster RCA on average).
The company monetizes via an annual subscription to the analytics platform; pricing is quote-based for enterprise tiers, and there is a self-serve entry point with a workspace available in under five minutes. Go-to-market is hybrid: product-led growth for mid-market and a sales-assisted enterprise motion supported by SSO/RBAC, GDPR compliance, and a self-hosted deployment option for regulated industries. Disclosed customers include Swiggy, Tata CLiQ, LeadSquared, Yulu, Netenrich, Brightmoney, mPokket, AceTurtle, and Aavas, operating across food delivery, e-commerce, fintech, martech, cybersecurity, electric mobility, and housing finance.
On the disclosed dashboard, Sprinkle reports MRR of $1.24M (12.4% growth), ARPU of $486 (3.1% growth), churn of 1.8% (down 0.4 percentage points), 12B+ rows analyzed daily across customer warehouses, and a 4.8/5 rating on Capterra. The company employs 11–50 people, serves Asia-Pacific and European markets, and is led by founder and CEO Sharad Agarwal and CTO Amareshwari Sriramadasu. No funding rounds, valuation, or cap-table information is disclosed in the source material.
Sprinkle Data firmographics
Firmographics- Name
- Sprinkle Data
- Legal name
- Sprinkle Data
- Website
- https://sprinkledata.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Sprinkle Data is a Bangalore-based SaaS company, founded in 2017, that sells an agentic analytics platform for enterprise data teams, combining connectors, SQL/Python pipelines, dashboards, embedded analytics, and autonomous AI agents that run on top of Snowflake, BigQuery, Redshift, and Databricks.
- Ownership category
- akta.pro rank
Sprinkle Data industry classification
Industry- Product category
- Data Analytics Platform
- NAICS
- Software Publishers (513210), Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)
Keywords
Where Sprinkle Data is headquartered
LocationHeadquarters
- HQ city
- Bangalore City
- HQ country
- India
- HQ region
- Asia
Markets served
Sprinkle Data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure
Revenue model
- Analytics Platform Subscription: SaaS subscription model for the Sprinkle analytics platform. The webpage shows MRR of $1.24M with ARPU of $486, suggesting per-seat or usage-based subscription tiers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise tier with full platform access |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels4 records
Sprinkle Data product offering
Product offeringCore offering
Sprinkle Data provides an agentic analytics platform for enterprises that unifies 200+ data source connectors, SQL/Python data transformation pipelines, drag-and-drop governed dashboards, embedded analytics, and autonomous AI agents. The agents explore existing data warehouses (Snowflake, BigQuery, Redshift, Databricks), perform root-cause analysis on business metric anomalies, draft RCA summaries, and ship insights to Slack with full data lineage.
Product overview
Sprinkle Data offers a unified agentic analytics platform consisting of six integrated modules: Sprinkle Agents (autonomous AI for RCA and insights), Dashboards (drag-and-drop reporting), Transform (SQL/Python pipelines), Connectors (200+ source integrations), and Embed (embedded analytics API). The platform runs on existing data warehouses (Snowflake, BigQuery, Redshift, Databricks) and replaces five disconnected tools with one governed solution, featuring SSO/RBAC governance and GDPR compliance built-in.
Differentiator
Problem solved
Functional benefit
Products and services
- Sprinkle Platform Unified agentic analytics platform for enterprises combining connectors, data transformation, dashboards, embedded analytics, and AI agents into a single governed analytics solution that runs on existing data warehouses.
- Sprinkle Agents Autonomous AI agents that explore data warehouses, compute anomalies on business metrics, perform root-cause analysis, and deliver insights to Slack with full data lineage. Version 2 (v2) enables plain-English queries and automated RCA drafting.
- Dashboards Drag-and-drop dashboard builder with real-time, governed KPI tracking. Supports metric reuse across teams with consistent definitions and visual reporting for revenue, cohorts, funnels, and pipelines.
- Transform SQL and Python data pipeline authoring with scheduling and testing capabilities. Enables defining metrics once (e.g., monthly_recurring_revenue) as a single source of truth across teams.
- Connectors 200+ pre-built source connectors landing data into Snowflake, BigQuery, Redshift, or Databricks without code. Includes connectors for Stripe, Salesforce, and other enterprise systems.
- Embed Embedded analytics capability allowing analytics dashboards to be dropped into external products via API (v1/embed/dashboard endpoint) with JWT authentication, customizable theme and locale settings.
Quantifiable outcome
- 40% reduction in ad-hoc query backlog after 90 days
- +2 more outcomes
Companies that use Sprinkle Data
Customer profileNamed customers9 records
Segments2 records
Ideal customer profiles2 records
Sprinkle Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability6 records
Feature7 records
Sprinkle Data partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- SnowflakecoreSnowflake is a pre-built connector and supported data warehouse. Sprinkle syncs data to Snowflake and queries it for analytics. Snowflake sync status shown as 'synced 2m ago' on platform.
- StripecoreStripe is a pre-built connector for payment data. Platform shows Stripe sync status as 'synced 5m ago'. Used for payment events analysis in root-cause analysis.
- SalesforcecoreSalesforce is a pre-built connector for CRM data. Shown as 'syncing...' status on the platform dashboard.
- Google BigQuerycoreBigQuery is a supported data warehouse destination for Sprinkle connectors. Part of the 200+ pre-built connectors ecosystem.
- Amazon RedshiftcoreRedshift is a supported data warehouse destination for Sprinkle connectors. Part of the 200+ pre-built connectors ecosystem.
- DatabrickscoreDatabricks is a supported data warehouse/lakehouse destination for Sprinkle connectors. Part of the 200+ pre-built connectors ecosystem.
Scale indicators7 records
Recent moves5 records
Expansion highlights6 records
Sprinkle Data competitors and assessment
Company assessmentDirect peers
- ThoughtSpot: AI-driven analytics platform offering natural-language querying, embedded analytics, and governed dashboards on cloud warehouses. Most direct comparison to Sprinkle's agentic analytics + dashboard + connector stack.
- Sigma Computing: Spreadsheet-style cloud analytics on Snowflake/BigQuery/Databricks with strong self-serve positioning and embedded analytics. Competes head-on with Sprinkle's governed, no-code analytics layer over warehouses.
- Mode Analytics: Collaborative analytics platform combining SQL/Python notebooks, dashboards, and reporting on top of warehouses. Targets the same analyst persona Sprinkle serves with Transform and dashboards.
- Hex: AI-powered analytics workspace blending notebooks, data apps, and now AI/agent capabilities over warehouses. Closest new-generation peer to Sprinkle's AI-agent-driven RCA positioning.
Emerging players
- Preset: Cloud-hosted Apache Superset offering modern, self-serve BI over warehouses. Comparable lightweight, governed dashboard and SQL pipeline layer, though without the agentic AI angle.
- dbt Labs: Leader in SQL-based data transformation and metric definition over warehouses. Sprinkle's Transform competes with dbt's modeling layer, and dbt's emerging AI assistant overlaps with Sprinkle Agents.
Broad incumbents
- Domo: Long-standing cloud BI/analytics incumbent offering dashboards, ETL, and now AI capabilities. Broader portfolio than Sprinkle but overlaps significantly in governed dashboards and embedded analytics.
- Tableau (Salesforce): Market-leading BI platform with deep enterprise penetration, augmented by Salesforce Einstein AI. Competes with Sprinkle on dashboards and natural-language exploration; much larger incumbent.
- Databricks AI/BI (Genie): Databricks' native AI/BI Genie layer that lets business users query lakehouses in natural language. A direct warehouse-native competitor to Sprinkle's agentic analytics, bundled with the data platform itself.
Regional players
- Holistics: Vietnam/Southeast Asia-based self-serve BI platform offering a governed semantic layer, dashboards, and data modeling. Comparable to Sprinkle in positioning and PLG GTM, mainly serving APAC mid-market.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks5 records
Key highlights6 records
Customer concentration
Sprinkle Data social profiles
Digital presenceSprinkle Data compliance and trust
Trust signalCompliance1 record
Sprinkle Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sprinkle Data leadership team
Management profileNumber of profiles
Profiles2 records
Sprinkle Data funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sprinkle Data M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Sprinkle Data
What does Sprinkle Data do?
Sprinkle Data provides an agentic analytics platform for enterprises that unifies 200+ data source connectors, SQL/Python data transformation pipelines, drag-and-drop governed dashboards, embedded analytics, and autonomous AI agents. The agents explore existing data warehouses (Snowflake, BigQuery, Redshift, Databricks), perform root-cause analysis on business metric anomalies, draft RCA summaries, and ship insights to Slack with full data lineage.
Is Sprinkle Data a public or private company?
Sprinkle Data is a private company. It is classified as unknown and is currently operating.
When was Sprinkle Data founded?
Sprinkle Data was founded in 2017. It employs 11 to 50 people.
Where is Sprinkle Data based?
Sprinkle Data is headquartered in Bangalore City, India, in the Asia region.
How does Sprinkle Data make money?
One revenue line is on record: analytics Platform Subscription.
Who are Sprinkle Data's main competitors?
Direct peers on record are ThoughtSpot, Sigma Computing, Mode Analytics and Hex. Emerging players are Preset and dbt Labs. Broad incumbents are Domo, Tableau (Salesforce) and Databricks AI/BI (Genie). Holistics is listed as a regional player.
Does Sprinkle Data have an API?
Yes. The platform offers an embed API endpoint (/v1/embed/dashboard) for embedding analytics into products, with JWT-based authentication and configurable theme/locale parameters. The API supports dashboard embedding functionality and appears to be part of the enterprise offering.
What industry is Sprinkle Data in?
Sprinkle Data's product category is Data Analytics Platform. Its primary akta.pro industry code is HDAEABAI, Query Engines & SQL Analytics Layers for Warehouses/Lakes, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 513210 and its SIC code is 7372.