Control.dev, compared.
Control.dev is a group consolidation and FP&A platform for multi-entity groups. Here are the tools finance teams weigh against Control.dev, in five categories. Each category is compared on the topics its buyers decide on, and every page says where the other tool is the better choice.
Control.dev is the choice for a finance team that works with Claude, ChatGPT or Codex, or wants to, and wants to save time and money while the quality of its numbers goes up. It also fits groups that would rather not keep data engineers or system consultants on hand for their reporting. If AI tools are not on your company’s agenda, we are probably the wrong partner, and one of the tools below may fit you better.
How we compare each category
Statutory depth at scale, or the monthly group view
Consolidation suites are built for the statutory year-end at scale: IFRS 16, disclosure, multi-GAAP, sub-groups and minority shares, implemented with partners over months. Control.dev is built for the monthly group view on the ledgers you already run: eliminations in their own column, CTA kept apart, every figure open to its entries, the plan and the AI on the same numbers, live in hours for most companies. Some groups need the first. Every group needs the second twelve times a year. We develop Control.dev together with auditors, and the statutory depth grows with them, step by step. Over the next two years the pace of change counts as much as today’s module list, and we publish what ships.
- Control.dev vs AARO
Statutory depth and disclosure modules, against the monthly group view, the plan and AI on the ledgers you keep.
Updated
- Control.dev vs Lucanet
One suite from consolidation to disclosure and tax, against the monthly group view, the plan and AI on the ledgers you keep.
Updated
- Control.dev vs Konsolidator
Minority shares, sub-groups and partner onboarding, against the monthly group view with every figure open to its entries.
Updated
Planning platforms model well; the actuals underneath decide
Planning platforms model the business well, and the large ones do it at a scale Control.dev does not try to match. Where the actuals come from a separate consolidation, teams tell us they arrive late and aggregated, that a change waits for the person who built the model, and that a question below the account line goes back to a spreadsheet. Most of our customers started next to the platform they had, with AI analysis on consolidated, transaction-level actuals. From there, use spread to management accounting and financial accounting, and the plan followed when the team was ready. Our own planning is built on MCP and AI agents from the start. The client drafts values with a reason on every cell, a version keeps who changed what and why, and a later variance analysis compares the actuals with the assumptions, not only with the result. We expect every planning tool to go this way within a few years.
- Control.dev vs OneStream
The full statutory close on one platform, against the monthly group view and plan your team changes.
Updated
- Control.dev vs Abacum
Deep driver-based planning, against consolidation from each ledger with the three-statement plan on top.
Updated
- Control.dev vs Anaplan
Enterprise planning across the business, against consolidated actuals and a plan your own team changes.
Updated
What BI gave finance, and what changed
BI gave finance its dashboards. A well-built BI layer was the best a finance team could buy five to ten years ago, and many still serve their teams well. What changed is the work around the dashboard: mapping accounts to report rows, re-keying the budget, consolidating the second ledger, explaining a variance. That work now goes to an AI client working on a modelled, transaction-level ledger. The dashboards can stay. For a team that already uses Claude or ChatGPT, Control.dev is the consolidated, transaction-level data its AI client works on, so nobody has to build and keep that layer, or hire a data engineer for it.
- Control.dev vs BrightAnalytics
A broad suite with hundreds of connectors, against consolidation and planning your own team changes, set up with no fee.
Updated
- Control.dev vs Fuusor
Reporting delivered as a service, against consolidation and planning your own team changes, with AI on the same numbers.
Updated
- Control.dev vs BI Book
Power BI reports on every system, against consolidation from the ledgers and reports your team changes.
Updated
- Control.dev vs Finadeck
Minority interests calculated and a priced onboarding, against reports you change yourself and AI over MCP.
Updated
- Control.dev vs Accuna
Long-range cash forecasts and group tools, against consolidation and planning your own team changes, with AI over MCP.
Updated
- Control.dev vs Power BI
Company-wide analytics on a semantic model, against the group P&L, plan and AI on the ledgers you keep.
Updated
Different needs, one finance stack
An ERP of the new generation replaces each entity’s ledger with one of its own and puts agents to work on the bookkeeping. Control.dev keeps the ledgers a group already runs and does the group consolidation, the three-statement plan and the AI analysis on top of them. The two answer different needs, and a group can run both: Control.dev connects NetSuite, where several entities share one ledger.
- Light and Control.dev
The ledger and the group view on top: different needs, and a group can run both.
Updated
Already on every desk, until the group outgrows the file
A spreadsheet is already on every desk, known and flexible, and for one or two entities in one currency it still closes on time. Teams look for something else when the consolidation outgrows the file: a second ledger, a second currency, a budget rebuilt by hand every round, a figure nobody can trace to its entries. Control.dev syncs the ledgers, computes the eliminations and the CTA, and keeps the plan in locked versions.
- Control.dev vs Excel
Flexible and already paid for, against group numbers, plans and reports that stay tied to the ledgers.
Updated
From signing to live numbers, as each vendor states it
The published figures run from two to three days of onboarding at Talgraf Accuna to 15 to 20 weeks on average at Lucanet, and Pacera publishes no figure for AARO. With Control.dev, most companies have live data in under two hours, a larger group in days and the hardest in a few weeks.
Each figure is the vendor’s own, to the milestone it names (going live, a first close, an implementation complete), with the date we checked it. Control.dev’s is to live data from the ledgers.
Control.dev: live data in under two hours for most companies; a larger group in days, the hardest in a few weeks
Talgraf Accuna: two to three days of onboarding1
BI Book: under two weeks2
BrightAnalytics: about a month, in a customer case3
Fuusor: a few weeks to a few months4
Light: 4 to 16 weeks to the first month-end close5
Abacum: six to nine weeks for most customers6
OneStream: CPM Express, 8 to 12 weeks7
Lucanet: 15 to 20 weeks on average10
AARO by Pacera: set by the complexity of the group; no figure published11
Implementation fees, where published: Fuusor EUR 2,000 to 8,0004; Finadeck onboarding training EUR 2,490 to 4,490, or free when you run the onboarding yourself12; Konsolidator about one to two times the annual subscription8. Control.dev has no setup fee and no consultants to pay.
Control.dev publishes its monthly prices, excluding VAT: EUR 249 for one entity and one integration, EUR 499 for consolidation with three integrations and EUR 999 with five, where a Stripe connection counts as one integration, with no implementation fee, no multi-year contract and a notice period from one month.
How these pages are written.
Control.dev writes these pages, so read them as a vendor’s view held to four rules. Spotted something out of date? Email hello@control.dev and we will correct it.
- 01 Their strengths, named. Every page says where the other tool is the better choice, in its own section, with the facts behind it.
- 02 Topics per category. Each category is compared on the four to six topics its buyers decide on, with one fact on each side of every row.
- 03 Sources with dates. Every competitor fact links to a public source with the date we checked it. We re-check them every month.
- 04 Customers anonymised unless published. We name a customer only where a published story supports the claim. Other customer remarks are anonymised.
About these comparisons.
Can you trust a vendor’s comparison?
Read it as a vendor’s view, and check it. We wrote these pages, so we hold them to rules: every competitor fact links to a public source with the date we checked it, every page names where the other tool is the better choice, and we re-check the sources every month. If something is wrong, write to hello@control.dev and we will fix it.
Why do the topics differ by category?
Because buyers in each category decide on different things. A buyer weighing a consolidation suite asks about statutory depth, implementation and contract. One weighing a BI tool asks who changes a report and what happens when a second ledger arrives. One weighing an ERP is not choosing between the two at all. So each category is compared on its own topics, and this page says once what we believe about the category.
Which consolidation tool fits a Nordic mid-sized group?
It turns on three questions: which ledgers your entities run on, how much statutory machinery you need inside the tool, and who will change the reports once they run. ERPs such as Light replace each entity’s ledger with one of their own13. Control.dev fits groups that keep their ledgers and want the eliminations, the CTA and the plan in one view their own team changes, with live data in under two hours for most companies and Claude, ChatGPT or Codex on the same numbers.
How often are these pages updated?
Every month. We re-check each competitor fact at its source and print the check date next to it, and the date at the top of each page shows the latest check. When a competitor changes a product, a price or a term, we update the facts and the verdicts that depend on them.
Is Control.dev the same as House of Control?
No. House of Control is a Norwegian software company, and the two companies are not related. Control.dev is built by Finata Oy in Helsinki and is not part of Visma or any ledger vendor.
What if Control.dev lacks something we need?
Tell us. It is the best news we can get, because the roadmap comes from our customers, demanding finance professionals, and we build on their feedback. A missing feature typically ships in days and a larger one in weeks, and the product updates page in the docs lists what shipped. If we would not build it, we say so.
Why do customers start with Control.dev beside their current tool?
Because it costs little to try: our team sets it up with no fee, it reads the ledgers with read-only access by default, and billing is monthly. Most of our customers started this way, for the speed of setup and the breadth of analysis. Use then spread inside the organisation, process by process, and for several of them Control.dev became the official group reporting tool.
How does the AI work on our numbers?
Your own Claude, ChatGPT or Codex connects over MCP, built and tested for group accounting. The client starts from the statements and the group structure, not a raw export of the general ledger. It finds what needs attention there and traces it to the entries behind it, within the access your role allows. Control.dev’s own AI features process data in the EU, and what your client reads is processed under your agreement with its provider.
Sources
- 1 Talgraf assigns a named software expert for onboarding. Installations are done remotely in advance, onboarding including training typically takes two to three days, accounting firms usually finish in one day, and duration and price are agreed in advance. Talgraf: onboarding. Checked .
- 2 BI Book says its data and integration experts can get a company set up in under two weeks, and that it can provide an interim data analyst. BI Book: home page. Checked .
- 3 A BrightAnalytics customer case describes going live about a month after signing, with most of the setup done by the BrightAnalytics team. BrightAnalytics: DENSIQ customer case. Checked .
- 4 Fuusor implements turnkey with a named expert, usually over a few weeks to a few months, and says the implementation work typically costs EUR 2,000 to 8,000. Fuusor: implementation. Checked .
- 5 Light says to plan for 4 to 16 weeks from signature to the first month-end close, with Light or an implementation partner leading delivery and a named lead accountable for the project. Light: home page (FAQ). Checked .
- 6 Abacum writes that most of its customers go live in six to nine weeks, guided by its in-house FP&A experts. Abacum blog: AI FP&A implementation timeline for enterprise finance teams. Checked .
- 7 OneStream says its CPM Express package typically deploys in 8 to 12 weeks at a predictable cost, with prebuilt statements, automated intercompany eliminations and currency translation. OneStream blog, 21 July 2026. Checked .
- 8 Konsolidator’s pricing page lists four tiers without published prices, and puts onboarding at 60 to 120 days with a one-time fee of about 1 to 2 times the annual subscription. Konsolidator: pricing. Checked .
- 9 Konsolidator says implementation takes 50 to 200 hours spread over 2 to 3 months. Konsolidator: home page. Checked .
- 10 Lucanet’s Professional Services team runs implementations and coaches implementation partners. Lucanet gives an average implementation time of 15 to 20 weeks. Lucanet: onboarding. Checked .
- 11 AARO is implemented with experienced consultants, and Pacera says timelines depend on the complexity of the group. Pacera: AARO. Checked .
- 12 Finadeck sells onboarding training with the subscription, at EUR 2,490, 3,590 or 4,490 depending on the plan, and says onboarding run by the customer is free. Finadeck: pricing. Checked .
- 13 Light describes itself as an ERP for multi-entity finance teams: one ledger for every entity replaces the ERP and the tools around it, and AI agents do the routine work while the team sets policy and approves. Light: home page. Checked .
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