Sisu Data
Sisu Data was founded in 2018 by Peter Bailis, a Stanford computer science professor who built the company around machine learning research into automated data diagnosis.
Profile
Sisu Data built machine learning software that automatically analyzed cloud data to identify why business metrics changed and surfaced actionable explanations, allowing analysts to get answers in seconds rather than days.
Sisu Data was founded in 2018 by Peter Bailis, a Stanford computer science professor who built the company around machine learning research into automated data diagnosis. The core product was a decision intelligence engine that analyzed cloud-scale datasets to identify what changed in business metrics and why, using techniques developed at Stanford and validated at Microsoft, Facebook, and Google. Over five years, Sisu built what it described as "one of the fastest and most advanced engines for analyzing structured data in the cloud." The company raised $128.7 million across three rounds: $14.2 million in Series A (2018, led by Andreessen Horowitz), $52.5 million in Series B (October 2019, led by NEA), and $62 million in Series C (September 2021, led by Green Bay Ventures).
By 2023, Sisu had grown to 124 employees and achieved $9.9 million in annual recurring revenue. The customer base included Samsung, Upwork, Wayfair, Gusto, Mastercard, Autodesk, Equinox, and Udacity—primarily enterprises in ecommerce and technology seeking automated insight generation. On October 16, 2023, Snowflake acquired Sisu Data.
In its announcement, Sisu stated it would discontinue the standalone product and integrate its technology into Snowflake's data cloud platform. The company cited Snowflake's investment in machine learning-powered functions as the strategic rationale, noting Sisu and Snowflake both aimed to "accelerate the future of data together." As of mid-2026, Sisu operates as a division within Snowflake rather than as an independent vendor, and the standalone product is in wind-down.
Who buys this
- Enterprise ecommerce companies optimizing customer journey metrics and revenue drivers
- Technology firms using SaaS and cloud analytics platforms requiring anomaly detection
- Consumer-focused businesses (retail, fintech) analyzing large-scale operational metrics
- Organizations running analytics on Snowflake who need automated insight generation
Publicly disclosed clients
- Samsung
- Upwork
- Wayfair
- Gusto
- Mastercard
- Autodesk
- Equinox
- Udacity
Strengths and what to watch
Strengths
- Founded by Peter Bailis, a respected systems researcher with Stanford credentials and prior publications in database systems and ML at scale.
- Built proprietary ML engine for multidimensional data analysis, validated across enterprise deployments at Samsung, Upwork, and Wayfair.
- Raised $128.7M from tier-one investors (a16z, NEA, Green Bay Ventures), signaling strong market validation before acquisition.
Watch for
- Standalone product is discontinued as of October 2023 acquisition; customers must migrate to Snowflake or integrate via APIs. No public timeline for feature parity or discontinuation support.
- Company operates as internal division of Snowflake with no independent roadmap visibility; unclear if Sisu's ML capabilities are being actively developed or consolidated into Snowflake's native analytics functions.
- Acquisition raised from private to acquired status with no public financial disclosures after October 2023; future strategic importance within Snowflake portfolio is unclear.
Key Information
- Industry
- Data Analyst Platforms
- Founded
- 2018
Frequently Asked Questions
What is Sisu Data?
Sisu Data was machine learning software that analyzed cloud data to automatically identify why business metrics changed and deliver actionable explanations. Analysts got answers in seconds rather than days. Founded in 2018 by Stanford professor Peter Bailis, it raised $128.7 million before Snowflake's October 2023 acquisition.
How did Sisu Data analyze business data?
Sisu used a proprietary machine learning engine to examine cloud-scale datasets and identify what metrics changed and why. Its techniques were developed at Stanford and validated at Microsoft, Facebook, and Google deployments. The platform delivered insights automatically, reducing analysis time from days to seconds.
How much funding did Sisu Data raise?
Sisu Data raised $128.7 million across three rounds: Series A ($14.2M, 2018, Andreessen Horowitz), Series B ($52.5M, October 2019, NEA), and Series C ($62M, September 2021, Green Bay Ventures). By 2023, the company reached 124 employees and $9.9 million annual recurring revenue before acquisition.
Which companies used Sisu Data?
Notable Sisu Data customers included Samsung, Upwork, Wayfair, Gusto, Mastercard, Autodesk, Equinox, and Udacity. The customer base primarily comprised enterprises in ecommerce and technology sectors seeking automated insight generation. These organizations used Sisu to analyze large-scale operational and customer metrics across cloud data platforms.
When did Snowflake acquire Sisu Data?
Snowflake acquired Sisu Data on October 16, 2023. Upon acquisition, Sisu announced it would discontinue the standalone product and integrate its technology into Snowflake's data cloud platform. Snowflake aimed to leverage Sisu's machine learning capabilities to accelerate its analytics offerings and advance the future of data together.
What happened to Sisu Data after the Snowflake acquisition?
After Snowflake's October 2023 acquisition, Sisu Data became an internal division. The standalone product entered wind-down with no public discontinuation timeline. Customers must migrate to Snowflake or integrate via APIs. Future development remains unclear with no visibility into Sisu's strategic importance within Snowflake's portfolio.
How Sisu Data compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Sisu Data
- Positioning
- Sisu Data built machine learning software that automatically analyzed cloud data to identify why business metrics changed and surfaced actionable explanations, allowing analysts to get answers in seconds rather than days.
- Customer segments
- Enterprise ecommerce companies optimizing customer journey metrics and revenue drivers
- Strengths
- Founded by Peter Bailis, a respected systems researcher with Stanford credentials and prior publications in database systems and ML at scale.
- Watch for
- Standalone product is discontinued as of October 2023 acquisition; customers must migrate to Snowflake or integrate via APIs. No public timeline for feature parity or discontinuation support.
Tellius
- Positioning
- Agentic decision intelligence platform for enterprise teams automating metric diagnosis and driver attribution on cloud data.
- Customer segments
- Fortune 500 companies in CPG, ecommerce, pharma, and financial services seeking automated root-cause analytics.
- Strengths
- Automated quantified driver attribution explains metric changes without requiring analyst-written SQL or manual segmentation.
- Watch for
- Customers cite high complexity and training costs; viable primarily for mid-to-large enterprises with dedicated data teams.
- Recent moves
- Raised $3.1M and launched Agent Mode in October 2025, expanding autonomous agentic analytics capabilities.
ThoughtSpot
- Positioning
- Analytics platform targeting enterprises that need AI-driven search-based exploration and automated root-cause analysis at scale.
- Customer segments
- Large enterprise data teams and business analysts at Fortune 1000 companies needing self-serve cloud analytics.
- Strengths
- Spotter AI agent connects structured metrics with unstructured context from Slack and Jira for root-cause workflows.
- Watch for
- Volume-based pricing spikes contracts past $140K annually; natural language queries require extensive upfront data modeling.
- Recent moves
- Launched four Spotter BI agents for autonomous analytics in December 2025, targeting structured and unstructured data.
Sources
- techcrunch.com — Series C funding amount ($62M), date (September 2021), investor details (Green Bay Ventures lead), customer names (Samsung, Wayfair, Upwork), employee headcount and revenue metrics
- www.globenewswire.com — Series B funding details ($52.5M, October 2019, led by NEA), customer names (Samsung, Upwork, Mixt), product capabilities and technical foundation
- www.cbinsights.com — Founding date (2018), headquarters (San Francisco), acquisition by Snowflake (October 2023), total funding ($128.7M), employee count (124), customer list including Mastercard, Autodesk, Equinox, Udacity, Roman, Fractory
- www.crunchbase.com — Complete funding history, founding date, Peter Bailis as founder, acquisition announcement, investor list, company timeline
- www.linkedin.com — Sisu's official announcement of Snowflake acquisition and product discontinuation decision
- getlatka.com — Revenue ($9.9M in 2023), employee count (124 in 2023), growth trajectory, pre-acquisition financials