AI, Analytics & Data Automation · Evidence-based profile · August 2026

Alteryx

A long-running enterprise analytics company that evolved from spatial data and desktop analytics into a unified cloud, AI and agentic-analytics platform.

Founded 1997Irvine, CaliforniaPrivate since Mar. 2024Alteryx OneAgentic AI

Research standard: Alteryx became private in March 2024 after Clearlake Capital Group and Insight Partners completed a $4.4B acquisition. Post-2023 financials are therefore not publicly reported with SEC-level regularity.

1. Company Overview

Item	Verified profile
Company	Alteryx, Inc.
Industry	Enterprise data analytics, analytics automation, AI-ready data and analytics.
Founded	1997, originally Spatial Re-Engineering Consultants (SRC), LLC.
Headquarters	Irvine, California, USA.
Type	Private since March 2024; formerly NYSE: AYX.
Mission	We Put Data and AI to Work for the Intelligent Enterprise.
Brand	We. Know. Data.
Current platform	Alteryx One.
Website	alteryx.com
Current reported scale	8,000+ customers, 750,000+ community members, 400+ partners serving 90 countries and 380M+ workflows automated annually, according to Alteryx.

2. Founders

Co-founder

Dean Stoecker

Education: University of Colorado; MBA, Pepperdine University.

Career: Donnelley Marketing Information Services, Strategic Mapping and Integration Technologies; worked on geocoding, location analytics and enterprise data.

Expertise: enterprise software, sales, data, analytics and strategy.

Alteryx role: Co-founder; CEO until 2020; Executive Chairman thereafter.

Achievements: Led Alteryx to its 2017 IPO; EY Entrepreneur Of The Year regional recognition; created Alteryx for Good.

DOB, birthplace, nationality, current net worth: Not Publicly Available from authoritative sources.

Photo reference: Alteryx executive release

Co-founder

Olivia “Libby” Duane Adams

Career: Worked with Stoecker at Donnelley Marketing and joined the founding effort in 1997.

Expertise: marketing, advocacy, community, analytics education and go-to-market.

Role: Co-founder and senior marketing/customer-advocacy leader.

Founding insight: She described frustration with slow business processes and the need to combine software and data into faster, accessible analytics.

DOB, birthplace, nationality, net worth: Not Publicly Available.

Photo/interview: TechRound interview

Co-founder

Ned Harding

Background: Engineering leader and software architect.

Expertise: analytics engines, workflow architecture and engineering.

Role: Co-founder and original CTO; later retired from Alteryx.

Contribution: Core engineering and workflow architecture behind early analytics products.

DOB, birthplace, nationality, net worth: Not Publicly Available.

Photo/history: Alteryx Community history

3. Founding Story

Alteryx began in 1997 as Spatial Re-Engineering Consultants (SRC). Stoecker and Adams had worked in data and marketing technology and saw a recurring problem: organizations had valuable data but lacked fast, usable tools to combine, analyze and operationalize it. Harding joined as technical co-founder.

The early business focused on spatial intelligence, demographic mapping and reporting. Allocate incorporated geographically organized U.S. Census data, while a 2000 U.S. Census Bureau contract provided early validation. In 2006 the Alteryx software product was released as a unified spatial/non-spatial environment. In 2010 SRC changed its company name to Alteryx.

Turning point: Alteryx generalized its spatial-data heritage into a broader analyst workflow platform. Geography became one data type among many, while the deeper thesis became making complex analytics accessible to business users.

The company then moved into subscription software, raised venture capital, acquired complementary technologies, went public in 2017, expanded into cloud analytics and became private again in 2024.

4. Company Timeline

1997 — SRC LLC founded by Dean Stoecker, Olivia Duane Adams and Ned Harding.

1998–2000 — Demographic/geographic data products develop; Allocate incorporates U.S. Census data; Census Bureau contract validates the model.

2006 — Alteryx software released as a platform for analytical processes and applications.

2010 — SRC renamed Alteryx.

2011–2015 — Venture financing from SAP Ventures, Toba Capital, Insight, Sapphire, ICONIQ and Meritech.

2014 — $60M financing round.

2015 — $85M financing led by ICONIQ.

2017 — Yhat acquisition; Semanta acquisition; NYSE IPO at $14/share.

2019 — ClearStory Data and Feature Labs acquired.

2020 — Mark Anderson becomes CEO; Stoecker becomes Executive Chairman.

2021 — Hyper Anna and Lore IO acquired; Q3 revenue $123.5M and ARR $578.6M.

2022 — Trifacta acquisition announced to accelerate cloud-first analytics.

2023 — FY revenue $970M; ARR $955M; cloud and AI roadmap emphasized.

Dec. 2023 — $4.4B take-private agreement announced.

Mar. 19, 2024 — Clearlake/Insight acquisition closes; Alteryx becomes private.

2025–2026 — Platform consolidation, generative AI and agentic analytics become central.

5. Products & Services

Product	Purpose / users	Technology / features	Pricing	Pros / limitations
Alteryx One	Unified platform for analysts, operations and enterprises.	Data prep, analytics, reporting, AI, automation, Agent Studio, App Builder, Server, Orchestrator and Auto Insights.	Starter $250/user/month billed annually; Professional/Enterprise contact sales.	Broad and governed; enterprise complexity.
Designer	Visual workflow creation.	Drag-and-drop data prep, joins, transforms, macros, spatial and predictive analytics.	Now packaged through Alteryx One.	Accessible UX; historically premium pricing.
Server / Orchestrator	Production deployment and automation.	Scheduling, API triggers, monitoring, permissions and governance.	Enterprise / capacity-based.	Strong operationalization; administration required.
Auto Insights	Automated discovery and business-facing insight.	Pattern discovery, narratives and insight delivery.	Edition dependent.	Fast insight; human validation still needed.
Agent Studio	Governed enterprise AI agents.	Agents, tools, business logic and workflow execution.	Enterprise/add-on packaging.	Connects AI to workflows; agent reliability is an ongoing issue.
App Builder	Publish analytic applications.	Interactive applications around workflows and analytics.	Higher editions.	Bridges analytics and applications.

Official pricing: Alteryx One Pricing.

6. Technology Stack

Data & analytics

Visual workflow engine for connecting, preparing, blending, transforming and analyzing structured and semi-structured data.

AI / ML

Natural-language workflow assistance, predictive modeling, automated insights, narrative generation and agentic workflows.

Cloud

Cloud and hybrid deployment with integrations for Snowflake, Databricks, BigQuery, Redshift and enterprise applications.

Programming

Low-code/no-code core with Python, R, APIs and extensibility for technical users.

Automation

Scheduled, API-triggered and application-driven workflow execution through Orchestrator and platform services.

Security

Governance, workflow lineage, permissions, private-data handling and deployment controls; private/on-prem options support regulated use cases.

Current AI Analytics documentation says AI-ready workflows can run directly against Snowflake, Databricks, BigQuery, Redshift and other platforms, as well as SAP, Salesforce, Workday, ServiceNow, SQL Server and Oracle.

7. Business Model

Subscriptions: Enterprise software has historically been the primary revenue stream.
Professional services: Training, consulting and services supplement software revenue.
Platform expansion: Alteryx One unifies products and monetizes editions, users and automation capacity.
Land-and-expand: Analysts can begin with workflow creation and expand into governance, AI and automation.
Enterprise sales: Direct sales plus system integrators and technology partners.
No consumer focus: Primarily B2B enterprise software.

The key competitive advantage is the combination of analyst-friendly UX, data connectivity, mature workflow automation, governance and a growing AI/agent layer.

8. Funding History

Period	Event	Amount	Investors / notes
2011	Venture	$6M	SAP Ventures.
2013	Venture	$12M	SAP Ventures and Toba Capital.
2014	Series B	$60M	Insight Venture Partners, Sapphire Ventures and Toba Capital.
2015	Growth round	$85M	ICONIQ led; Insight and Meritech participated.
2017	IPO	Public listing	NYSE: AYX; $14/share IPO price.
2024	Take-private	$4.4B transaction value incl. debt	Clearlake Capital and Insight Partners; $48.25 cash/share.

Current valuation: Not Publicly Available. The $4.4B figure is the last verified transaction value, not a current independently reported equity valuation.

9. Leadership Team

Role	Current leader	Background
CEO	Andy MacMillan	Enterprise technology executive with experience scaling software/data businesses, including Tableau.
CFO	Jon Pexton	Technology-company finance and operating leadership.
Chief Revenue Officer	Steven Birdsall	Enterprise sales and revenue leadership.
Chief Product Officer	Ben Canning	Product leadership across analytics/platform capabilities.
Chief Strategy Officer / Chief of Staff	Nali Giliana	Strategy and executive operations.
Chief People Officer	Jill Bone	People and organizational leadership.
CMO	Michelle Huff	Enterprise technology marketing.
CTO	Arvind Krishnan	Technology and enterprise software leadership.
Chief Legal Officer	Steve Holsten	Appointed June 2026.

Primary source: Alteryx Leadership.

10. Financial Information

Metric	Latest verified public figure	Status
Revenue	$970M	FY2023; +13% YoY.
ARR	$955M	Q4/FY2023; +15% YoY.
Net loss	$(179)M	FY2023 GAAP.
Operating loss	$(146)M	FY2023 GAAP.
Gross profit	$839M	FY2023.
Customers	8,000+	Current company-reported.
Employees	~2,300–2,345 around final public period	Historical; current count Not Publicly Available.
Market cap	Not applicable	Private since Mar. 2024.
Current revenue / ARR	Not Publicly Available	Private company.

FY2023 financials are grounded in the final SEC 10-K: SEC Form 10-K.

11. Competitors

Competitor	Overlap	Strength	Alteryx advantage
Dataiku	Enterprise analytics/ML	Collaborative data science.	Mature analyst workflow UX and automation.
KNIME	Low-code analytics	Open ecosystem.	Enterprise commercial platform and support.
Databricks	Data/ML/GenAI	Lakehouse and developer ecosystem.	Business-analyst-first workflows.
Microsoft Fabric / Power BI	Analytics/data/AI	Distribution and Microsoft ecosystem.	Specialized workflow automation.
Google Cloud / BigQuery	Cloud analytics/AI	Hyperscaler infrastructure.	Independent multi-cloud/hybrid layer.
Tableau / Salesforce	BI	Visualization/CRM ecosystem.	Deeper data preparation and automation.

Market share: Not reliably public after the take-private; no percentage is invented.

12. SWOT Analysis

Strengths

25+ years of experience.
8,000+ customer scale.
Strong no-code workflow UX.
Broad connectors.
Enterprise governance.
Deep enterprise footprint.

Weaknesses

Premium pricing versus open source.
Portfolio complexity.
Cloud transition costs.
Reduced financial transparency post-take-private.

Opportunities

Agentic AI grounded in business logic.
AI-assisted analytics.
Private/hybrid AI.
Enterprise automation.

Threats

Hyperscaler bundling.
Databricks convergence.
Open-source alternatives.
Fast AI platform change.

13. AI & Innovation

AI analytics: natural-language assistance, predictive modeling, automated insights and narrative generation.
Agentic AI: May 2026 capabilities put business logic at the center of enterprise agents.
MCP: Alteryx One MCP Server connects trusted workflows to agents, LLMs and enterprise applications.
Auto Insights: automated pattern discovery and explanation.
Machine learning: predictive modeling and historical Intelligence Suite capabilities.
Patents: Alteryx has accumulated IP around analytics, spatial data and workflow automation; current active-patent count is Not Publicly Available.
Open source: Core Alteryx products are proprietary, with integrations into Python/R and broader open ecosystems.

14. Partnerships

Cloud & data

AWS, Google Cloud, Snowflake, Databricks and other cloud/data platforms.

System integrators

Alteryx has highlighted 40+ global system integrators including Accenture, EY, KPMG, PwC and Slalom.

Enterprise customers

Customer references include Siemens, MillerKnoll, IQVIA and large financial-services, healthcare and technology organizations.

15. Global Presence

The 2023 10-K listed sales offices in Australia, France, Germany, Japan, Singapore, UAE and UK, plus R&D centers in Australia, Czech Republic, India and Ukraine. Alteryx currently reports 400+ partners serving 90 countries. Its international strategy is enterprise-led: local sales/support, regional compliance and partner ecosystems.

16. Marketing Strategy

Branding

“We. Know. Data.” and “analytics for all” make complex analytics approachable.

Content & SEO

Solution pages, use cases, documentation, customer stories and research target analytics, automation, AI and data-prep demand.

Events

Inspire and Alteryx on Tour create category visibility.

Community

Alteryx Community supports peer learning and product education; 750,000+ members are currently reported.

Developer relations

APIs, Python/R integration, SDKs and technical documentation support extensibility.

Enterprise proof

Customer stories quantify time savings, cost reductions and workflow automation.

17. Company Culture

Alteryx emphasizes customer needs, focus, curiosity, excellence/execution, respect, transparency and inclusion. It also operates Alteryx for Good, supporting nonprofit and education initiatives.

Work culture: customer and outcome oriented.
Community: strong emphasis on analytics education and user participation.
Benefits: exact global package Not Publicly Available.
Remote/hybrid: current global policy Not Publicly Available in one authoritative source.
Hiring: role and region dependent; no universal public process should be assumed.

18. Awards & Recognition

98 G2 awards are listed on the current Alteryx About page.
2026 recognition includes G2 Best Software Awards, CRN AI 100, Big Data 100 and Info-Tech Data Quadrant recognition.
2025 recognition includes Dresner Advisory Services Technology Innovation Awards.
Dean Stoecker received EY Entrepreneur Of The Year 2017 regional recognition.
Alteryx has received Gartner Peer Insights and Deloitte Technology Fast 500-era recognition.

Current list: Alteryx Awards.

19. Challenges & Controversies

Profitability

FY2023 GAAP net loss was $179M despite $970M revenue, highlighting the challenge of balancing growth and operating leverage.

Cloud transition

Legacy desktop/server products had a large installed base while the market moved toward cloud-native architectures; Trifacta strengthened the cloud strategy.

Competition

Databricks, Microsoft, Google, AWS and open-source tools increasingly overlap with data preparation, analytics and AI.

Take-private

The $4.4B acquisition ended public reporting. It was approved by stockholders and closed March 2024.

Responsible AI

AI analytics raises risks around sensitive data, access, model outputs and hallucination; governance and private/hybrid deployment are therefore important.

20. Future Roadmap

Agentic analytics

Agents that operate through trusted workflows and business logic rather than raw-data prompting.

Alteryx One

Consolidation of historically separate products into one platform with editions, roles and automation capacity.

MCP / AI ecosystem

Connecting workflows to LLMs, agents and enterprise apps through the Alteryx One MCP Server.

AI-assisted analytics

More natural-language workflow building, predictive modeling and narrative insights.

Hybrid AI

Private and on-prem deployment remains strategically useful for regulated enterprises.

Platform monetization

Edition + user + automation-capacity packaging signals recurring platform expansion.

Forecast boundary: These are evidence-based strategic inferences from official 2026 announcements, not guarantees of unannounced products.

21. Key Facts — 50 Interesting & Lesser-Known Insights

Alteryx began as SRC LLC in 1997.
The founders were Dean Stoecker, Olivia Duane Adams and Ned Harding.
The original focus was spatial intelligence.
The company built demographic mapping and reporting tools.
Allocate incorporated U.S. Census data.
A Census Bureau contract validated the early business.
Alteryx software was released in 2006.
SRC became Alteryx in 2010.
The name relates to altering X/Y dimensions.
SAP Ventures was an early investor.
Toba Capital was an early investor.
Insight became an important investor before the IPO.
Alteryx raised $60M in 2014.
It raised $85M in 2015.
The IPO occurred in March 2017.
The IPO price was $14/share.
Yhat strengthened model deployment.
Semanta was acquired in 2017.
ClearStory Data was acquired in 2019.
Feature Labs was acquired in 2019.
Feature Labs focused on feature engineering.
Mark Anderson became CEO in 2020.
Dean Stoecker became Executive Chairman.
Hyper Anna was acquired in 2021.
Lore IO was acquired in 2021.
Q3 2021 revenue was $123.5M.
Q3 2021 ARR was $578.6M.
Trifacta was announced as an acquisition in 2022.
Trifacta strengthened cloud data preparation.
FY2023 revenue was $970M.
FY2023 ARR was $955M.
FY2023 revenue grew 13%.
FY2023 net loss was $179M.
FY2023 subscription revenue was $516M.
FY2023 international revenue was $279M.
The company had more than 8,000 customers in the public era.
It now reports 750,000+ community members.
It now reports 400+ partners.
Those partners serve 90 countries.
It reports 380M+ workflows automated annually.
Alteryx was taken private in March 2024.
The take-private value was $4.4B including debt.
The cash consideration was $48.25/share.
Clearlake and Insight own the private company.
Alteryx One is the unified platform direction.
Starter pricing is $250/user/month billed annually.
Professional and Enterprise are contact-sales priced.
Automation capacity is part of packaging.
Agentic AI is central to the 2026 roadmap.
Business logic is a stated differentiator for agents.
The Alteryx One MCP Server connects workflows to AI agents.
The company supports cloud and hybrid environments.
It integrates with Snowflake and Databricks.
It also connects to BigQuery and Redshift.
It has a long history of analytics automation.
Its core products remain proprietary rather than open-source.

22. Lessons for Entrepreneurs

Startup

Start with a painful workflow, not a fashionable technology label.

Business

Move up-market by adding governance, automation, deployment and measurable outcomes.

Leadership

Founder-led businesses may need professional operating leadership at scale.

Marketing

Community, education and events can create a durable technical category.

Product

AI is most valuable when embedded into a governed workflow rather than sold as a model alone.

Fundraising

Strategic investors can provide customers, distribution and domain expertise as well as capital.

Enterprise

Hybrid deployment and governance can become competitive features in regulated markets.

AI era

A durable moat may be trusted business logic and workflow context, not foundation-model ownership.

23. References

Primary sources

Founder / historical sources

Final assessment: Alteryx’s strategic shift is from analytics automation toward a governed AI + data + business-logic platform. Its 2026 direction suggests that its competitive thesis is making AI agents operate on trusted enterprise workflows rather than merely providing another model interface.

Prepared from public sources reviewed in August 2026. Current undisclosed financial, employee, valuation, founder DOB and net-worth details are intentionally not guessed.