Cube vs. Vena: Feature, Pricing & Enterprise Readiness Comparison Guide 2026
Both keep finance in the spreadsheet. One is a data layer underneath it; the other is a full performance management platform with its own database. That difference decides the price, the timeline and the ceiling.
The Short Answer
Cube is a spreadsheet-native FP&A platform founded in 2018 in New York. It sits underneath Excel and Google Sheets as a centralised data and governance layer, using patented bi-directional sync so numbers flow both ways between the platform and the spreadsheet. It is explicitly not a modelling engine — the model stays in the spreadsheet.
Vena is an Excel-native corporate performance management platform founded in 2011. Planning templates are Excel workbooks connected to its own database engine, CubeFLEX, with analytics delivered through embedded Power BI and AI running inside Excel and Microsoft Teams. It covers consolidation, close and account reconciliation as well as planning.
They are direct competitors for teams that have decided the spreadsheet stays. Neither publishes list pricing. The decision is about depth and tier: Cube is lighter, faster to deploy, supports Google Sheets and costs less; Vena is a fuller platform with more of the finance calendar in it.
Every capability claim is drawn from vendor documentation, vendor security pages, marketplace listings or named third-party research, is dated, and is attributed at the point the claim is made. Where something is not published, the guide says so rather than guessing. Pricing from third-party sources is labelled as an estimate. Datarails publishes this guide and competes in the FP&A market; it is not one of the two products compared here and appears only in one clearly labelled section.
Why Finance Teams Compare Cube and Vena
Most FP&A shortlists split early on one question: does the spreadsheet stay? Teams that answer no look at Pigment, Anaplan, Planful or Workday Adaptive Planning. Teams that answer yes end up with a much shorter list, and Cube and Vena are usually both on it.
From there the comparison is not about philosophy — they agree — but about how much platform you are buying. Cube describes itself as a centralised FP&A data and governance layer rather than a modelling engine: the model lives in your spreadsheet, and Cube supplies the clean data, version control, consolidation and reporting underneath. Vena supplies all of that plus its own database engine, an analytics layer built on Power BI, financial close and account reconciliation, and a Microsoft-wide surface area covering Teams and PowerPoint.
That difference shows up in three practical places. Price — Cube sits a tier below. Time to deploy — Cube is positioned on fast implementation with minimal disruption, Vena is a longer build because there is more to build. Ceiling — a team that later needs close management, account reconciliation or deep multi-dimensional modelling will find Cube’s scope narrower by design.
One more difference matters more than its size suggests: Cube supports Google Sheets natively, and Vena does not. For an organisation on Google Workspace, that single row often settles the comparison before anything else is discussed.
What This Choice Looked Like in My Own Finance Team
At JL Clark, our planning was disconnected from the start. Every budget cycle I sent out more than 40 spreadsheets and hoped people emailed them back on time. Then the real work started: consolidating all of them into one three-statement model. That held together until someone “helped” by adding a row or a column to their workbook, and every link downstream quietly broke. I spent more time repairing the model than analysing what was in it.
Moving to a platform fixed the mechanics fast. The people part took longer. For the first time we had an audit trail of every input, and comparing actuals to budget took a click instead of a week. That was great for finance. But a department head who used to submit a number and never hear about it again felt watched.
The team wasn’t pushing back on the software. They were pushing back on the accountability that came with it.
— Annette DeYoung, Senior Manager, Partner Solutions and Enablement, Datarails
- When a contributor changes the structure of their input, does the model break, or does the system stop the change? This matters more here than anywhere, because both platforms leave the model in the spreadsheet.
- What does the audit trail look like to the contributor, not just to finance?
- How do I roll out budget-versus-actual visibility so it does not feel like a gotcha?
What Is Cube?
Cube is a spreadsheet-native FP&A platform founded in 2018 in New York by a three-time CFO. It reports more than 500 organisations as customers, including Block, Docebo, Cracker Barrel and Wealthfront, and targets mid-market finance teams that have outgrown manual Excel consolidation but want to keep spreadsheets.
The platform connects to ERP, CRM, HRIS and data warehouse systems through no-code integrations and centralises that data into a single source of truth. Finance then works through patented bi-directional sync into Excel and Google Sheets — building budgets, variance reports and forecasts in the same tools, with version control, multi-entity roll-ups, intercompany eliminations and audit-ready reporting handled by the platform.
Cube’s current positioning is as an agentic FP&A platform: an agentic layer covering unified data, business logic, AI agents and controls, surfaced across Cube web, Excel and Google Sheets, Slack and Teams, PowerPoint and Google Slides, BI tools, and AI assistants via MCP. It holds SOC 1 and SOC 2 Type 2 certification.
What Is Vena?
Vena is a corporate performance management and FP&A platform built around Microsoft Excel, founded in 2011 and headquartered in Toronto. Planning templates are Excel workbooks that read from and write to Vena’s central database, so budgeting, forecasting, reporting, consolidation and account reconciliation run through governed spreadsheets.
Its database engine, CubeFLEX, is built for Excel-scale planning models. Vena Insights delivers analytics through embedded Power BI. Vena Copilot runs agentic AI inside Excel and Microsoft Teams, grounded by a context engine the company calls Omega. Vena for PowerPoint links slides to live planning data.
Vena reports more than 2,000 customers and expanded twice in 2026: it completed the acquisition of Acterys in March and announced an agreement to acquire Morpheo AI in July. It was positioned as a Challenger in the 2025 Gartner Magic Quadrant for Financial Planning Software.
Cube vs. Vena at a Glance
| Category | Cube | Vena |
|---|---|---|
| Core category | Spreadsheet-native FP&A data and governance layer | Excel-native corporate performance management |
| Founded / HQ | 2018 · New York, United States | 2011 · Toronto, Canada |
| Customers | More than 500 organisations | More than 2,000 |
| Spreadsheets supported | Excel and Google Sheets, both native | Excel only |
| Modelling engine | None by design — the model stays in the spreadsheet | CubeFLEX, built for Excel-scale planning models |
| Analytics layer | Reporting in-platform and in spreadsheets; BI tool integrations | Vena Insights, built on embedded Power BI |
| Close and reconciliation | Multi-entity roll-ups and intercompany eliminations; not a close suite | Financial close and account reconciliation in platform |
| AI | AI agents on governed data; AI assistants via MCP | Vena Copilot agents in Excel and Microsoft Teams |
| Other surfaces | Slack, Teams, PowerPoint, Google Slides, BI tools | Microsoft Teams, Power BI, PowerPoint |
| Published pricing | Nowithdrew public tiers; quote-based | Notwo plans named, no figures |
| Security certifications | SOC 1 and SOC 2 Type 2 | SOC 1 and SOC 2 Type II audited by Deloitte; CSA Trusted Cloud Provider |
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Cube vs. Vena: Feature-by-Feature Comparison
| Capability | Cube | Vena |
|---|---|---|
| Excel as the planning surface | Yespatented bi-directional sync | Yestemplates are Excel workbooks |
| Google Sheets as a planning surface | Yesnative, equal to Excel | Nonot supported |
| Mac support for the spreadsheet client | PartialExcel add-in is Windows-only; Mac users work via Google Sheets or web | Not documented |
| Budgeting and forecasting | Yes | Yes |
| Scenario planning | Yes | Yesscenario modelling, simulations via Copilot |
| Dedicated modelling engine | Noby design; the model stays in the spreadsheet | YesCubeFLEX |
| Multi-entity roll-ups | Yes | Yes |
| Intercompany eliminations | Yes | Yes |
| Financial close management | Nooutside the product’s scope | Yes |
| Account reconciliation | No | Yes |
| Version control and audit trail | Yesaudit trail from source to slide | Yes |
| Power BI as the analytics layer | PartialBI tools are a connected surface | YesVena Insights is built on it |
| AI agents | Yesagents on clean, governed data | YesPlanning, Analytics, Reporting and Query agents |
| MCP for external AI assistants | YesAI assistants via MCP | Not documented |
| AI inside Microsoft Teams | YesSlack and Teams surfaces | YesVena Copilot for Teams |
| Slide automation | YesPowerPoint and Google Slides | YesVena for PowerPoint |
| ERP and system integrations | YesNetSuite, Sage Intacct, QuickBooks, Xero, Salesforce, Snowflake and more; 20+ no-code integrations | YesNetSuite, Sage Intacct, Dynamics 365, SAP, Acumatica, QuickBooks, Xero |
| SOC 1 | YesType 2 | YesType II, audited by Deloitte |
| SOC 2 | YesType 2 | YesType II, audited by Deloitte |
| ISO 27001 | Not documented | Not documentedfor the platform; data centres stated as certified |
| Free trial | No | No |
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The three “No” marks against Cube — no modelling engine, no close management, no account reconciliation — are scope decisions rather than gaps. Cube is deliberately a layer, not a suite. They matter only if those capabilities are on your requirements list.
Deep Feature Analysis: Cube vs. Vena
A Layer or a Platform
Cube is explicit that it is not a modelling engine. It is a centralised FP&A data and governance layer: it connects source systems, cleans and centralises the data, and syncs bi-directionally into the spreadsheet where the model already lives. Model building stays formula-based in Excel or Google Sheets.
Vena supplies the same governance plus its own database engine. CubeFLEX holds the structure, and the Excel templates are the interface onto it. That means more of the logic can live in the platform rather than in workbook formulas, and the platform can carry workloads a spreadsheet cannot.
This is the whole comparison in one row. If your model is good and the problem is the data feeding it, Cube solves exactly that and nothing you do not need. If your model is itself the problem — too big, too fragile, too dependent on one person’s formulas — a data layer underneath will not fix it, and Vena’s engine is the relevant capability. Be honest about which problem you have, because the two cost very different amounts.
Google Sheets
Google Sheets is a first-class surface, equal to Excel, with the same bi-directional sync. Third-party reviews consistently cite this as Cube’s clearest differentiator against Excel-only competitors, and Cube customers using Google Workspace name it as the reason they chose it.
Vena is Excel-only. Its entire architecture — CubeFLEX, Vena Insights on Power BI, Copilot in Excel and Teams, Vena for PowerPoint — assumes a Microsoft 365 organisation, and the depth of that integration is the pay-off for the constraint.
This row ends the comparison for a lot of buyers before it starts. If your company runs on Google Workspace, Vena asks finance to live in Excel while the rest of the business works elsewhere. If you run on Microsoft 365, Vena’s depth is a genuine advantage and Cube’s Google Sheets support is irrelevant. One practical footnote worth checking if you have Mac users in finance: Cube’s Excel add-in is Windows-only, with Mac users working through Google Sheets or the web interface.
Scope Beyond Planning
Cube covers planning, reporting, variance analysis, multi-entity roll-ups and intercompany eliminations with audit-ready reporting. It does not cover financial close management or account reconciliation.
Vena adds financial close management and account reconciliation to the same platform, so more of the finance calendar runs through one system with one audit trail and one set of permissions.
Scope is where buyers most often get the tier wrong in both directions. Teams buy Vena for planning alone and under-use half of it; teams buy Cube and add a close tool eighteen months later, ending up with two vendors and two contracts. Write down which workflows are genuinely in scope for the next two years before either demo, and price against that list rather than against the demo.
AI Reach
Cube positions itself as an agentic FP&A platform, with AI agents operating on clean governed data and an explicitly open surface: AI assistants connect via MCP, alongside Slack, Teams, PowerPoint, Google Slides and BI tools. The bet is that finance data should be reachable from wherever people work.
Vena Copilot is an agentic assistant built on Microsoft Azure OpenAI, coordinating Planning, Analytics, Reporting and Query agents grounded by the Omega context engine, running inside Excel and Microsoft Teams. The bet is that AI should meet finance inside Microsoft’s surfaces.
Cube’s MCP support matters if you intend to run your own AI toolchain over finance data; Vena has not publicly documented an equivalent. Vena’s advantage is depth within Microsoft rather than breadth across tools. Both vendors’ AI claims move faster than any comparison page, so the test is the same for each: what exactly can the agent see, and what stops it answering confidently from a partial dataset? Ask for that demonstrated on your own data.
Tier, Timeline and Total Cost
Cube historically published tiers — an Essentials plan around $1,250 to $1,500 a month and a mid-tier around $2,450 to $2,800 — but withdrew public pricing and now quotes every tier after a demo. Third-party estimates put entry in the region of $15,000 to $20,000 a year. Implementation is positioned as fast, with optional rather than mandatory services.
Vena names two plans, Professional and Complete, without figures, and quotes on seat types plus modules. Vendr lists a median annual contract of roughly $34,000 as of September 2026. Implementation is priced separately and delivered by Vena professional services or certified partners.
These are different tiers, not different quotes for the same thing — and the gap is roughly the cost of the capabilities Cube deliberately does not have. The honest comparison is total two-year cost including implementation and anything you would buy alongside. A Cube deployment plus a separate close tool may land close to a Vena Complete deployment; a Cube deployment on its own will not. Note also that Cube’s withdrawal of public pricing means neither vendor now offers a figure before a sales cycle.
Cube vs. Vena Pricing
Neither vendor publishes list pricing. Cube removed its published tiers and now quotes after a demo; Vena has never published figures. All numbers below are third-party estimates or historic published prices that are no longer current.
| Pricing factor | Cube | Vena |
|---|---|---|
| Public pricing | Not disclosed; public tiers withdrawn | Not disclosed |
| Plan names | Essentials, Premium and Enterprise historically; now quoted | Professional and Complete |
| Pricing model | SaaS subscription, per-user or usage-based, scaled by company size and needs | Annual subscription; seat types plus modules |
| Third-party estimates | Entry reported around $15,000–$20,000 a year; historic tiers listed at roughly $1,250–$1,500 and $2,450–$2,800 a month | Median around $34,000 a year (Vendr, September 2026) |
| Implementation | Optional services rather than mandatory systems integration | Priced separately; Vena services or certified partners |
| Free trial | No | No |
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Enterprise Readiness: Cube vs. Vena
Both hold SOC 1 and SOC 2 Type 2. Vena’s are audited by Deloitte and released on request, and Vena is additionally a CSA Trusted Cloud Provider. Cube documents SOC 2 Type II with encryption in transit and at rest, role-based access control and audit logging, including an audit trail from source through to slide.
Neither publishes an ISO 27001 certification for its platform, which is unusual for the category and relevant if your procurement function scores certifications as a checklist — Planful, Prophix and Pigment all document one. Request current reports from both vendors rather than relying on a web page, and if ISO 27001 is a hard requirement, raise it in the first call.
When Each Platform May Be the Better Fit
When Cube May Be a Better Fit
- Your organisation runs on Google Workspace. Google Sheets is a first-class surface; Vena does not support it at all.
- Your model is fine and the data feeding it is not. Cube is built as a data and governance layer, which is exactly that problem.
- You want fast deployment with minimal disruption and no mandatory systems-integrator engagement.
- Your budget sits a tier below mid-market CPM. Third-party estimates put entry materially below Vena’s median.
- You run your own AI tooling. AI assistants connect via MCP, which Vena has not publicly documented.
- Close and reconciliation are already solved elsewhere in your stack.
When Vena May Be a Better Fit
- Microsoft 365 is the corporate standard. Excel, Teams, Power BI and PowerPoint are all first-class surfaces.
- You need close management and account reconciliation in the same platform as planning.
- Your model needs an engine behind it. CubeFLEX carries structure a spreadsheet cannot.
- Power BI is already your reporting layer. Vena Insights builds on it rather than integrating with it.
- You expect to grow into more of the platform rather than add vendors alongside it.
- Deloitte-audited SOC reports carry weight with your audit committee.
Where Both Platforms Have Limitations
Shared Limitations
- Neither publishes pricing. Cube withdrew its public tiers, so a sales cycle is now mandatory on both sides.
- Neither offers a free trial.
- Neither documents ISO 27001 for its platform, unlike several mid-market competitors.
- Both preserve spreadsheet habits — including the ones a team may be trying to escape.
- Both inherit upstream data quality and neither replaces the ERP.
Cube-Specific Considerations
- No modelling engine by design, so a fragile or oversized spreadsheet model stays fragile and oversized.
- No financial close management or account reconciliation, which means a second vendor if those are in scope.
- The Excel add-in is Windows-only; Mac users work through Google Sheets or the web interface.
- A smaller customer base than Vena — more than 500 organisations against more than 2,000 — which some procurement processes weigh.
- Public pricing was withdrawn, so historic figures circulating online are no longer reliable.
Vena-Specific Considerations
- Excel only. No Google Sheets support, which rules it out for Google Workspace organisations.
- Analytics depth is tied to Power BI, an added licence and skillset outside a Microsoft environment.
- Tier gating: Vena Insights, a sandbox and premium support sit in the Complete plan, so a Professional quote is not a full-platform comparison.
- No publicly documented MCP endpoint for external AI tools.
- Two acquisitions completed or announced in 2026 bring integration work worth asking about — which capabilities are generally available today, and which are roadmap.
Where Datarails Fits
Datarails publishes this guide and competes in the FP&A market. It is not one of the two products compared above, and the comparison has been written without reference to it. What follows is the case for considering a third option, and the disclosure that it is ours.
This comparison is a tier decision inside one architecture. Cube gives you a data layer under the spreadsheet; Vena gives you a platform with the spreadsheet on top. Datarails is built on the same conviction — Excel stays — and answers the scope question differently again: FinanceOS puts a governed data layer underneath with more than 600 native connectors across ERP, CRM, HRIS and banking, then carries FP&A, month-end close, cash management and spend control as separate products on that one layer.
That matters directly to the trap described above. A team choosing Cube and adding a close tool in eighteen months ends up with two vendors, two contracts and two audit trails. A team choosing Vena for planning alone pays for scope it may not use. Datarails lets you license the products you need now and add the next one onto the same data layer rather than onto a new vendor.
Two further differences are concrete. Datarails states typical annual ranges up front — around $25,000 for smaller finance teams, $40,000 to $80,000 mid-market, above $100,000 enterprise — where neither platform above now publishes anything. And it holds SOC 2 Type II and ISO 27001, the certification neither Cube nor Vena documents for its platform.
The honest boundary. If your organisation runs on Google Workspace, Cube supports Google Sheets natively and Datarails is Excel-centred. If your requirement is a finance function that can plan, close and report from one trusted set of numbers without leaving Excel, Datarails belongs on the shortlist. The Datarails vs. Vena guide applies the full methodology of this page to Datarails itself, limitations section included.
Quick Answers
What is the main difference between Cube and Vena?
Cube is a data and governance layer that sits underneath Excel and Google Sheets, with the model staying in the spreadsheet. Vena is a full corporate performance management platform with its own database engine, CubeFLEX, and Excel as the interface onto it. Vena also covers financial close and account reconciliation, which Cube does not, and Cube supports Google Sheets, which Vena does not.
Does Cube work with Google Sheets?
Yes. Google Sheets is a first-class surface in Cube, equal to Excel, with the same patented bi-directional sync. Vena is Excel-only and does not support Google Sheets. For organisations on Google Workspace this single difference usually decides the comparison.
How does pricing compare?
Neither publishes list pricing. Cube withdrew its public tiers and now quotes after a demo, with third-party estimates putting entry around $15,000 to $20,000 a year. Vendr lists a median annual Vena contract of roughly $34,000 as of September 2026. These are different tiers rather than different quotes for the same thing — the gap reflects capabilities Cube deliberately does not include.
Which covers more of the finance function?
Vena. It adds financial close management and account reconciliation to planning, reporting and consolidation, so more of the finance calendar runs through one platform. Cube covers planning, reporting, multi-entity roll-ups and intercompany eliminations but is explicitly not a close suite, so teams needing close management run a second vendor alongside it.
Which is faster to implement?
Cube is positioned on fast implementation with minimal disruption and optional rather than mandatory services, which is consistent with it being a data layer rather than a platform with a model to build. Vena implementations build the central model and the Excel template set, which takes longer because there is more to construct. Neither vendor publishes a standard timeline.
Which has stronger security credentials?
Both hold SOC 1 and SOC 2 Type 2. Vena’s are audited by Deloitte and it is additionally a CSA Trusted Cloud Provider. Cube documents SOC 2 Type II with encryption, role-based access and audit logging. Neither publishes an ISO 27001 certification for its platform, which is worth raising early if your procurement checklist requires it.
What are the main alternatives to Cube and Vena?
Datarails is the closest alternative to both on Excel-native architecture, extending onto one data layer that also covers close, cash and spend control. Abacum competes with Cube at the lighter end of the mid-market. Planful and Prophix compete with Vena on mid-market CPM breadth, and Pigment, Anaplan and Workday Adaptive Planning compete for teams that decide the spreadsheet should go.
Frequently Asked Questions
If we use Google Sheets, is Vena simply ruled out?
Effectively, for planning. Vena is Excel-only, so adopting it means finance works in Excel regardless of what the rest of the business uses. Some organisations accept that trade because Vena’s Microsoft depth is worth it; many do not. If Google Workspace is the standard and you want finance working in the same tools as everyone else, Cube is the natural comparison and Datarails is the other Excel-centred option to weigh.
Does Cube’s lack of a modelling engine matter?
It matters only if your model is the problem. Cube is explicit that it is a centralised data and governance layer, not a modelling engine — which is exactly right if your spreadsheet model works and the pain is consolidating actuals into it. If the model itself is too large, too slow or too dependent on one person’s formulas, a data layer underneath will not fix that, and Vena’s engine is the relevant capability.
Why did Cube stop publishing prices?
Cube previously listed tiers — an Essentials plan and a mid-tier plan at published monthly rates — and moved to quote-based pricing for all tiers. The practical effect for buyers is that historic figures circulating online are no longer reliable, and that neither Cube nor Vena now offers a budget number before a sales cycle. Ask both for a written quote against the same requirements document.
How do the two compare on AI?
Cube positions itself as an agentic FP&A platform with agents on governed data and an open surface, including AI assistants connecting via MCP alongside Slack, Teams, PowerPoint and Google Slides. Vena Copilot runs agents inside Excel and Microsoft Teams grounded by its Omega context engine. Cube’s bet is breadth of reach; Vena’s is depth inside Microsoft. Test both on your own data.
How should we run a fair evaluation?
Use your own worst workbook, not a demo file — a real template with nested formulas, hidden columns and a multi-level rollup. Load it into both, make a structural change the way a contributor would, and refresh twice. Then price the two-year scope including anything you would have to buy alongside, because the headline gap between these platforms largely reflects capabilities one of them deliberately omits.
Sources
All sources accessed and verified 29 September 2026. Vendor claims are attributed to the vendor; third-party estimates are labelled.
- Vendor — Cube. Platform pages: agentic FP&A positioning, the agentic layer covering unified data, business logic, AI agents and controls, surfaces across Cube web, Excel and Google Sheets, AI assistants via MCP, Slack and Teams, PowerPoint and Google Slides and BI tools; SOC 1 and SOC 2 Type 2 certification. Cube (cubesoftware.com), accessed 29 September 2026.
- Vendor — Cube. Cube for FP&A: patented bi-directional spreadsheet sync into Excel and Google Sheets, no-code integrations across ERP, CRM, HRIS and data warehouse, multi-entity roll-ups, intercompany eliminations, audit-ready reporting, more than 500 organisations including Block, Docebo, Cracker Barrel and Wealthfront, SOC 2 Type II, role-based access and full audit trail. Cube (cubesoftware.com), accessed 29 September 2026.
- Third party — CFO Shortlist. Cube guide: founded 2018 in New York by a three-time CFO, positioning as a centralised FP&A data and governance layer rather than a modelling engine, native Excel and Google Sheets integration, target segment of mid-market organisations, subscription pricing per-user or usage-based, optional rather than mandatory implementation services, SOC 2 Type II with encryption, role-based access control and audit logging. cfoshortlist.com
- Third party — Capterra. Cube review and integration list covering Google Sheets, NetSuite, Sage Intacct, QuickBooks, ChartHop, Microsoft Excel and Salesforce, with more than 20 integrations across ERP, spreadsheets, HR and analytics. capterra.com
- Third party — Software Finder. Historic Cube pricing tiers — Essentials, Premium and Enterprise — with published monthly rates since withdrawn, and SOC 2 Type I and Type II compliance. softwarefinder.com
- Third party — Curate Suite. Cube profile, last verified May 2026: quote-based pricing across all tiers after a demo, bi-directional Excel and Google Sheets sync as the defining integration, and integration list. curatesuite.com
- Third party — Grove. Cube review: Google Sheets support as the differentiator against Excel-only competitors, target segment, and the Windows-only Excel add-in with Mac users working via Google Sheets or the web interface. grove.financial
- Vendor — Vena. Security and compliance: SOC 1 and SOC 2 Type II audited by Deloitte, CSA Trusted Cloud Provider membership, AES-256 encryption, TLS 1.2+, SAML 2.0 SSO. Vena, “Security and Compliance” (venasolutions.com), accessed 29 September 2026.
- Third party — ERP Research. Vena profile, updated August 2026: CubeFLEX, Vena Omega context engine, Vena Insights on Power BI, plan structure and seat types, more than 2,000 customers, Acterys acquisition completed March 2026 and Morpheo AI agreement announced July 2026. erpresearch.com
- Third party — Vendr. Procurement marketplace profile for Vena Solutions: median annual contract value from tracked transactions, accessed September 2026. vendr.com
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