Cinchy
UpdatedCinchy is a Toronto-based enterprise data collaboration company founded in 2014 and launched in 2017 by Dan DeMers and Karanjot Jaswal.
Profile
A data collaboration platform that eliminates point-to-point integrations by letting enterprises share and govern data across systems using federated data mesh architecture.
Cinchy is a Toronto-based enterprise data collaboration company founded in 2014 and launched in 2017 by Dan DeMers and Karanjot Jaswal. The company pioneered the "dataware" model—a distinctive approach that positions data collaboration and governance as alternatives to traditional point-to-point data integration. Paul Patterson became CEO in January 2024, replacing DeMers who shifted to Chief Simplification Officer; Jaswal remains CTO and co-founder.
The core Cinchy Dataware Platform uses federated data mesh principles to allow organizations to share and govern data across systems without building costly integrations. In 2025, Cinchy expanded its portfolio with PeriMind, an AI governance registry and control plane for tool calls made by AI agents to enterprise systems—a response to governance gaps Cinchy discovered in its own data collaboration work. The company also launched a Systems Consolidation Solution in April 2025, targeting ERP and CRM migrations.
Cinchy has raised $24.1 million across five rounds, including a $14.5 million Series B in October 2022 led by Forgepoint Capital. The company reported $11.4 million in annual revenue by 2024, up from $7.9 million in 2023, with a team of approximately 68 people. Major customers span financial services (RBC, TD Bank, National Bank, Raymond James, iA Financial Group), real estate and asset management (Brookfield Properties, Colliers International), and other verticals including DNB ASA. Cinchy's pitch resonates with data governance professionals and CIOs navigating regulatory pressure around AI agent security, particularly following NIST's February 2026 launch of the AI Agent Standards Initiative.
Who buys this
- Tier-1 global banks and financial services firms managing multi-system data consolidation
- Credit unions and community banks deploying specialized financial data solutions
- Large enterprises (retail, real estate, manufacturing) modernizing legacy system integrations
- Organizations adopting AI agents and needing governance for agent-to-system data access
Publicly disclosed clients
- RBC (Royal Bank of Canada)
- TD Bank
- National Bank of Canada
- Raymond James
- iA Financial Group
- Brookfield Properties
- DNB ASA
- Colliers International
Strengths and what to watch
Strengths
- Distinctive 'no-integration' positioning based on federated data mesh principles—avoids the traditional ETL/ELT tooling conversation entirely
- Expanding into AI governance (PeriMind) at the moment regulatory pressure on agent security is rising, positioning Cinchy ahead of compliance demand curves
- Strong financial services customer base with deep integration into major banks, reducing churn risk in a conservative vertical
Watch for
- No Series C announced; steady revenue growth ($7.9M to $11.4M in 2023-24) but flat funding stage since October 2022 raises questions about capital efficiency or investor appetite for the dataware category
- Paul Patterson as CEO is relatively new (18 months tenure); historically, data integration companies experience market headwinds when leadership transitions occur
- PeriMind is a new market (AI agent governance) with unclear product-market fit; if NIST standards and regulatory pressure do not materialize as Cinchy anticipates, the pivot could underperform
Key Information
- Industry
- Data Engineering
- Founded
- 2014
- Employees
- 51-200
- Headquarters
- Toronto, ON
Frequently Asked Questions
What is Cinchy?
Cinchy is a Toronto-based enterprise data collaboration platform founded in 2014 that eliminates point-to-point integrations by letting organizations share and govern data across systems using federated data mesh architecture. The company was launched in 2017 by Dan DeMers and Karanjot Jaswal.
What is the dataware model?
The dataware model is Cinchy's distinctive approach positioning data collaboration and governance as alternatives to traditional point-to-point data integration. It uses federated data mesh principles to allow organizations to share and govern data across systems without building costly integrations between them.
Who are Cinchy's main customers?
Cinchy's major customers span financial services including RBC, TD Bank, National Bank of Canada, Raymond James, and iA Financial Group; real estate firms like Brookfield Properties and Colliers International; and other enterprises including DNB ASA. The company targets tier-one global banks and large enterprises modernizing legacy system integrations.
What is Cinchy PeriMind?
PeriMind is Cinchy's AI governance registry and control plane for tool calls made by AI agents to enterprise systems. Launched in 2025, it addresses governance gaps Cinchy discovered in its data collaboration work, positioning the company ahead of rising regulatory pressure on agent security and NIST standards.
How does Cinchy differ from traditional integration tools?
Cinchy differentiates as a 'no-integration' platform using federated data mesh architecture, avoiding traditional ETL/ELT conversations entirely. Rather than building point-to-point connections between systems, it allows organizations to share and govern data across infrastructure natively, positioning data collaboration as a fundamental alternative to conventional integration tooling solutions.
What is Cinchy's Systems Consolidation Solution?
Cinchy launched its Systems Consolidation Solution in April 2025 specifically for ERP and CRM migrations, addressing the industry challenge where 45% of ERP projects exceed budget and 75% of migrations fail. The solution aims to strip complexity and risk from legacy system consolidation for large enterprises modernizing infrastructure.
How Cinchy compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Cinchy
- Positioning
- A data collaboration platform that eliminates point-to-point integrations by letting enterprises share and govern data across systems using federated data mesh architecture.
- Customer segments
- Tier-1 global banks and financial services firms managing multi-system data consolidation
- Strengths
- Distinctive 'no-integration' positioning based on federated data mesh principles—avoids the traditional ETL/ELT tooling conversation entirely
- Watch for
- No Series C announced; steady revenue growth ($7.9M to $11.4M in 2023-24) but flat funding stage since October 2022 raises questions about capital efficiency or investor appetite for the dataware category
Collibra
- Positioning
- Enterprise data governance and catalog platform, six consecutive Gartner MQ Leader wins, $350M ARR, $5.25B valuation.
- Customer segments
- CDOs and data governance leaders at Fortune 500 and global financial services firms managing regulatory and AI compliance.
- Strengths
- Six consecutive Gartner MQ Leader recognitions and 120 to 130 percent net revenue retention signal deep enterprise stickiness.
- Watch for
- Customers cite heavy implementation overhead. Platform underutilizes without dedicated stewardship programs, raising adoption failure risk post-deployment.
- Recent moves
- Acquired Raito (data access management) in June 2025 and Deasy Labs (unstructured data governance) in July 2025.
Atlan
- Positioning
- Cloud-native data catalog and governance platform, positioned as the context layer for AI-ready enterprise data teams.
- Customer segments
- Data engineers and CDOs at cloud-native mid-to-large enterprises running Snowflake or Databricks stacks.
- Strengths
- Only vendor in the 2026 Gartner MQ explicitly cited for future-proof architecture. Snowflake 2025 Data Governance Partner of Year.
- Watch for
- Opaque list pricing requires negotiated discounts to reach affordability. Documented performance degradation under very large dataset loads.
- Recent moves
- Partnered with BigID to launch a unified structured and unstructured data catalog for AI governance, March 2026.
Informatica
- Positioning
- Full-stack data integration, governance, MDM, and data quality platform, now a Salesforce subsidiary after $8 billion acquisition.
- Customer segments
- CIOs at large enterprises with complex multi-cloud data estates, increasingly concentrated in Salesforce-aligned organizations post-acquisition.
- Strengths
- Single platform covering data integration, governance, MDM, and data quality natively. No competing vendor bundles all four.
- Watch for
- Salesforce acquisition (November 2025) erodes vendor neutrality. Customers flag risk of Salesforce-first roadmap prioritization and post-acquisition pricing increases.
- Recent moves
- Salesforce completed $8 billion acquisition of Informatica in November 2025, creating a combined data and CRM platform.
Sources
- cinchy.com — Company mission, PeriMind product, customers including RBC, TD Bank, Raymond James, iA Financial Group
- betakit.com — Paul Patterson CEO appointment (Jan 2024), Dan DeMers transition to Chief Simplification Officer, Series A and Series B funding history, founding date and major customers
- techcrunch.com — Series B funding round details ($14.5M, October 2022), investor participants, company background
- getlatka.com — 2024 revenue ($11.4M), 2023 revenue ($7.9M), employee count (68), recent business performance
- www.businesswire.com — April 2025 Systems Consolidation Solution announcement, problem statement (45% ERP projects over budget, 75% ERP migrations fail), co-founder Karanjot Jaswal quote
- www.glassdoor.com — Employee satisfaction metrics (4.6/5 rating, 89% recommend, 93% positive business outlook, compensation and culture ratings)