Financial Planning & Analysis Software Buyer’s Guide

Who This Guide Is For

You need this guide if you are any of the following:

1) VP of Finance / Head of FP&A at a scaling company

You’re likely living in spreadsheets, building budgets manually, and spending too much time reconciling versions instead of explaining the numbers. You need:

• Faster forecast cycles
• Better driver-based planning
• Cleaner board reporting
• A way to stop version-control chaos

Pain point: your team is too busy compiling data to analyze it.

2) CFO at a mid-market or enterprise company

You care less about pretty dashboards and more about:

• Multi-entity consolidation
• Scenario modeling under uncertainty
• Cross-functional planning
• Governance and auditability

Pain point: your current stack is either too rigid, too manual, or not trusted enough for executive decisions.

3) Controller or Finance Systems leader

You’re usually the person who has to make FP&A software actually work. You care about:

• ERP integration quality
• Access controls
• Close-to-plan connectivity
• Maintenance burden

Pain point: finance users want flexibility, but IT wants control. You have to reconcile both.

4) Finance leader in a regulated or complex industry

If you operate in SaaS, manufacturing, financial services, healthcare, energy, or multi-country environments, your planning process is probably constrained by:

• Complex chart of accounts
• Multiple currencies
• Compliance requirements
• Headcount and cost-center complexity

Pain point: generic planning tools often break when the business gets messy.

Who should NOT read this guide

This is not for:

• Individuals looking for tax filing software
• Small businesses that only need basic bookkeeping
• Teams that just want prettier Excel templates and do not need structured planning
• Companies unwilling to standardize data definitions, ownership, and planning cadence

If your “FP&A process” is just a once-a-year budget in a spreadsheet, start with process design before software.

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What Financial Planning & Analysis Software Does

FP&A software helps finance teams plan, forecast, model, and explain business performance. Good software reduces manual work and improves decision quality. Bad software just moves spreadsheet chaos into a browser.

Before vs. After

What FP&A software typically includes

Most serious FP&A platforms include some combination of:

• Budgeting and forecasting
• Driver-based planning
• Scenario modeling
• Variance analysis
• Management reporting
• Workforce planning
• Multi-entity consolidation
• Workflow and approvals
• Data integrations
• Commentary and collaboration

Some vendors also extend into:

• Financial close
• EPM / CPM
• Analytics and BI
• Operational planning
• Tax, spend, vendor management, or equity-related workflows

The business case: why it pays off

A typical mid-market finance team might spend:

• 40–80 hours/month on manual data gathering
• 20–40 hours/month on report production
• 20–60 hours/month on forecast consolidation and version cleanup

That is 80–180 hours/month of finance time. Even at a conservative blended cost of $75/hour, that’s $6,000–$13,500/month or $72,000–$162,000/year in labor tied up in mechanical work.

If FP&A software reduces that burden by just 30%, you recover roughly:

• 24–54 hours/month
• $21,600–$58,320/year

That does not include the value of:

• Faster decision-making
• Better forecast accuracy
• Lower board risk
• Fewer costly surprises
• Less dependence on one spreadsheet expert

In practice, the ROI is often highest when the software:

• Removes manual consolidation
• Connects directly to ERP/CRM/payroll
• Enforces version control
• Standardizes assumptions across teams

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Market Landscape 2026

The FP&A market in 2026 is no longer just “planning software.” It is a crowded mix of:

• Dedicated FP&A platforms
• Enterprise Performance Management (EPM) suites
• Analytics and BI tools
• Spreadsheet-native planning layers
• ERP-adjacent planning modules
• Adjacent finance tools that solve one slice of the finance stack

That matters because many buyers search “FP&A software” and end up evaluating products that are really:

• BI tools with planning added on
• ERP planning modules with limited flexibility
• Tax or spend products that overlap with finance workflows
• Equity or valuation tools that are adjacent to finance planning, not core FP&A

The market has five major vendor buckets

AI is real, but the market is overstating it

In 2026, “AI-powered” is everywhere. Some of it is useful. A lot of it is marketing.

Where AI genuinely helps in FP&A:

• Forecasting seasonality and trend patterns
• Auto-generating variance explanations
• Drafting first-pass reports
• Identifying anomalies in actuals
• Suggesting drivers for scenario modeling
• Helping non-technical users query data in plain language

Where AI is overhyped:

• Replacing structured planning logic
• Auto-fixing bad data models
• Generating reliable forecasts without governance
• Eliminating the need for finance judgment
• Turning a messy chart of accounts into usable planning structure

Blunt truth: AI is only as good as your data model, dimensions, and planning discipline. If your source data is garbage, AI just helps you produce garbage faster.

What is changing in buyer behavior

Buyers are now demanding:

• Faster time to value
• Spreadsheet compatibility
• Prebuilt integrations
• Scenario planning
• Multi-entity support
• Security and auditability
• Less reliance on consultants
• Clearer ROI in under 6 months

The old “big EPM suite” buying motion is still alive, but many teams now prefer:

• A lighter implementation
• Finance-owned administration
• Smaller admin burden
• Better usability for budget owners

How to think about the directory’s 109 products

The 109 products in your directory span a much wider universe than pure FP&A. That is useful, but it creates confusion.

A practical way to categorize them:

Core FP&A and planning platforms

These are the primary contenders for most buyers:

• Abacum
• Anaplan
• Board
• Cube
• Datarails
• Drivetrain
• IBM Planning Analytics
• Jirav
• LiveFlow FP&A Platform
• OneStream
• Planful
• Workday Adaptive Planning
• CCH Tagetik Intelligent Platform
• Extended Planning by CCH Tagetik
• Financial Model Automation Platform by Aleph
• Budgeting and Forecasting Solution by Aleph
• SAP Analytics Cloud
• Oracle EPM Cloud
• Infor Birst
• Sisense Intelligence
• Microsoft Power BI
• Oracle Analytics Cloud
• JustPerform
• Vizlib
• SolveXia

ERP / enterprise finance systems with planning overlap

These matter when you want planning tied tightly to operations:

• Oracle Fusion Cloud ERP
• SAP Cloud ERP
• SAP S/4HANA
• SAP S/4HANA Cloud, Public Edition
• Infor CloudSuite ERP
• Zoho ERP
• NetSuite SuiteTax
• Microsoft Dynamics 365 Tax Calculation

Tax, compliance, and transaction finance tools

These are not FP&A platforms, but they overlap with finance operations:

• ApprovalMax
• CoinTracker
• Koinly
• Ledgible
• Lovat
• Taxamo
• TaxBit
• TaxCloud
• Taxually CrossTax
• Stripe Tax
• Quaderno
• TaxJar
• Trintech Cadency
• Workiva XBRL
• Certent Disclosure Management

Spend, procurement, and vendor management tools

These often influence forecast accuracy and cash visibility:

• Coupa
• Corcentric
• Medius
• PaymentWorks
• Tungsten Network
• Fraxion
• Gatekeeper Spend Module
• Pleo
• Suplari
• Zylo

Equity, cap table, valuation, and fundraising tools

Not core FP&A, but highly relevant in startup and growth-stage finance:

• Capboard
• Cake Equity
• Capdesk
• Captable.io
• EquityList
• Eqvista
• Secfi
• Pulley
• Ledgy valuation tools
• Qapita valuations
• Capboard funding simulations
• Equilar valuation tools
• E*TRADE Equity Edge Online
• Fidelity Stock Plan Services

Modeling, data, and analytics tools

Useful for advanced finance teams with in-house analytics capacity:

• Altair RapidMiner
• Data Apps & Dashboards by Deepnote
• Observable Canvases / Notebooks / Plot
• Visual Analyzer by MaterialsZone

Market structure in one sentence

The market is splitting into two camps:

• Broad enterprise suites for large, complex organizations
• Lighter, spreadsheet-native FP&A tools for teams that want speed and usability without heavy implementation

What this means for buyers

If you are mid-market, do not start by looking at the biggest suite. That is often the slowest and most expensive path.

If you are enterprise, do not start with a lightweight tool unless your use case is narrow and your governance needs are modest.

The biggest mistake is buying for a logo instead of buying for your planning complexity.

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The 8 Things That Matter Most

Below is a practical weighting model for evaluating FP&A software.

1) Data integration and model flexibility — 18%

Why it’s critical: FP&A software is useless if it cannot ingest clean actuals and operate across the dimensions your business actually uses.

What to evaluate:

• ERP, CRM, HRIS, and payroll connectivity
• Multi-entity and multi-currency support
• Custom dimensions, hierarchies, and mappings
• Refresh frequency
• API quality
• Data transformation controls

What good looks like:

• Native integrations with your core systems
• Automatic synchronization at least daily
• Flexible dimensional modeling without breaking reports
• Clear lineage from source to forecast

Red flag: The vendor claims “200+ integrations” but only supports your system through CSV uploads or brittle middleware.

Ask the vendor:

• How do you handle multi-entity, multi-currency consolidations?
• Can non-technical admins maintain mappings without engineering support?
• What happens when our chart of accounts changes?

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2) Forecasting and scenario modeling depth — 16%

Why it’s critical: Most companies do not need prettier budgets. They need better decisions under uncertainty.

What to evaluate:

• Driver-based planning
• Scenario branching
• Rolling forecasts
• Sensitivity analysis
• Top-down and bottom-up planning
• Reforecast workflow

What good looks like:

• You can build 3–5 realistic scenarios in hours, not days
• Assumptions are reusable and centrally managed
• Finance can explain the forecast drivers to leadership clearly

Red flag: The platform only supports one static budget and a few report versions.

Ask the vendor:

• How quickly can we build a scenario with different hiring, pricing, or churn assumptions?
• Can department heads update their own assumptions in a controlled workflow?
• Do you support both top-down targets and bottom-up submissions?

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3) Usability for finance and business users — 14%

Why it’s critical: If budget owners hate the system, they will work around it.

What to evaluate:

• Spreadsheet-like interface
• Commenting and collaboration
• Ease of input
• Workflow approvals
• Mobile or browser accessibility
• Learning curve for department managers

What good looks like:

• Budget owners can complete tasks without finance hand-holding
• Finance can manage the model without needing vendor services every time
• Interface is intuitive enough to reduce shadow spreadsheets

Red flag: Only power users can operate the system, and every change requires a consultant.

Ask the vendor:

• How long does it take a department head to submit a budget?
• Can finance administer the model without coding?
• What percentage of customer admins are non-technical finance users?

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4) Reporting, dashboards, and board-pack quality — 12%

Why it’s critical: Planning is only valuable if leaders can understand the output.

What to evaluate:

• Management reporting
• Board deck support
• Variance explanations
• Drill-down capability
• Visual flexibility
• Export options

What good looks like:

• Reports refresh automatically
• Board materials are consistent month over month
• Drill-downs show actuals, assumptions, and driver logic

Red flag: The tool produces nice charts but weak operational reporting.

Ask the vendor:

• How do you support recurring board decks?
• Can we create report packages by business unit or region?
• How do users drill from summary to transaction-level detail?

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5) Workflow, approvals, and governance — 10%

Why it’s critical: Planning without governance becomes chaos very quickly.

What to evaluate:

• Task assignments
• Approval chains
• Audit trails
• Version control
• Role-based access
• Commentary history

What good looks like:

• Clear process ownership
• Traceable changes
• Permissions aligned to data sensitivity
• Locked actuals and controlled assumptions

Red flag: Multiple users can change assumptions without accountability.

Ask the vendor:

• Can we enforce approval workflows by department?
• Can we lock assumptions after signoff?
• What audit logs are available by default?

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6) Implementation speed and admin burden — 10%

Why it’s critical: Many FP&A tools fail because they take too long to deploy or are too hard to maintain.

What to evaluate:

• Time to first live model
• Consultant dependency
• Admin training
• Template availability
• Change management effort

What good looks like:

• First use case live in 6–12 weeks for mid-market
• Finance can own most ongoing changes
• Vendor services are optional, not mandatory

Red flag: The deployment plan assumes 6 months of consulting before anything useful happens.

Ask the vendor:

• What is the fastest real customer implementation you’ve seen?
• How much can our finance team configure independently?
• What changes require professional services?

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7) Security, compliance, and controls — 10%

Why it’s critical: Finance data is sensitive. Weak controls kill trust fast.

What to evaluate:

• SOC 2, ISO 27001, GDPR
• SSO and MFA
• Role-based permissions
• Data residency options
• Encryption
• Audit logs

What good looks like:

• Strong enterprise security posture
• Clear segregation of duties
• No manual security exceptions for standard use

Red flag: Security answers are vague, or the vendor cannot explain permission architecture cleanly.

Ask the vendor:

• Do you support SSO, MFA, and role-based access control?
• How are audit logs retained and exported?
• What certifications do you hold today?

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8) Total cost of ownership and vendor fit — 10%

Why it’s critical: Software cost is not just license price. It includes implementation, admin time, and change overhead.

What to evaluate:

• License model
• Implementation fees
• Required modules
• User minimums
• Contract lock-in
• Consultant dependency

What good looks like:

• Transparent pricing structure
• Realistic ramp-up cost
• No surprise charges for basic needs

Red flag: The initial quote looks cheap, but critical functionality is sold separately.

Ask the vendor:

• What is included in base pricing?
• What implementation costs are typical for a company our size?
• What are the most common hidden add-ons?

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Use-Case Matching: Which Type of Buyer Are You?

1) Growth-stage buyer: 50–500 employees, lean finance team

What matters most:

• Fast implementation
• Spreadsheet compatibility
• Budgeting and forecasting
• Low admin burden
• Affordable pricing

Prioritize:

• Excel/Sheets-native workflows
• Core budgeting and rolling forecast features
• Basic integrations to ERP, CRM, and payroll
• Simple permissions and collaboration

Avoid:

• Overbuying a heavy enterprise suite
• Tools that require months of setup
• Platforms that need a dedicated admin from day one

Common fit patterns:

• Cube
• Datarails
• Jirav
• LiveFlow
• Abacum for slightly more sophisticated mid-market teams

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2) Mid-market buyer: 500–5,000 employees, multiple departments, more process maturity

What matters most:

• Multi-department planning
• Scenario modeling
• Better reporting
• Data governance
• Support for workforce planning

Prioritize:

• Driver-based modeling
• Departmental workflows
• Multi-scenario forecasting
• Consolidated reporting
• Role-based access

Avoid:

• Spreadsheet-only tools that do not scale
• BI tools pretending to be planning platforms
• Vendors with weak support for dimensional planning

Common fit patterns:

• Abacum
• Board
• Planful
• Workday Adaptive Planning
• SAP Analytics Cloud
• Datarails for Excel-centric teams

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3) Enterprise buyer: complex entities, regulated operations, global footprint

What matters most:

• Consolidation
• Governance
• Scalability
• Security
• Cross-functional planning
• Close-to-plan integration

Prioritize:

• Mature workflow and audit controls
• Multi-entity, multi-currency architecture
• Deep ERP integration
• Enterprise security certifications
• Long-range planning and scenario depth

Avoid:

• Lightweight SaaS tools that top out quickly
• Products that are strong in one department but weak in enterprise planning
• Tools that require elaborate workarounds for dimensioning

Common fit patterns:

• Anaplan
• OneStream
• IBM Planning Analytics
• Oracle EPM Cloud
• CCH Tagetik
• Workday Adaptive Planning
• SAP Analytics Cloud

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4) Industry-specific buyer: manufacturing, financial services, SaaS, or regulated operations

What matters most:

• Industry-specific assumptions
• Compliance
• Supply-chain or revenue complexity
• Headcount and cost modeling
• Auditability

Prioritize:

• Prebuilt industry templates
• Variable and fixed cost modeling
• Revenue and margin planning
• Scenario support for external shocks
• Strong controls

Avoid:

• General-purpose tools with no domain model
• BI-only dashboards that cannot plan
• “AI forecasting” with no explanation layer

Common fit patterns:

• IBM Planning Analytics
• OneStream
• CCH Tagetik
• SAP Analytics Cloud
• Oracle EPM Cloud
• Planful
• Anaplan

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Vendor Evaluation Questions

Use these in RFPs, demos, and reference calls.

Features

• Can the platform support driver-based planning across revenue, headcount, OPEX, and cash flow?
• How do you handle multi-entity and multi-currency planning?
• Can users create and compare multiple scenarios without duplicating the model?
• What is your approach to rolling forecasts?
• Can we build top-down and bottom-up planning in the same model?
• How granular can planning go — monthly, weekly, daily, by cost center, by product line?
• Does the platform support workforce planning with salary, bonus, benefits, and hiring assumptions?
• Can we annotate variances and preserve commentary through reporting cycles?

Integration

• Which ERP, CRM, HRIS, payroll, and GL systems do you support natively?
• Are integrations API-based or mostly CSV/manual imports?
• How frequently can data refresh: hourly, daily, on-demand?
• What happens when a source system changes its schema?
• Can we map and remap account structures without vendor intervention?
• Do you support SSO, SCIM, and role sync with identity providers?
• How are failed syncs surfaced and corrected?

Security

• What security certifications do you currently maintain?
• Do you support MFA and granular role-based access control?
• Can permissions be set by entity, department, region, or custom dimension?
• How long are audit logs retained?
• Is data encrypted in transit and at rest?
• Do you offer data residency or regional hosting options?

Pricing

• What is included in the base subscription?
• What functionality costs extra?
• Is pricing based on users, entities, modules, or data volume?
• What are the typical implementation fees?
• Are there minimum contract terms or auto-renew clauses?
• What price increases have existing customers experienced after year one?

Implementation

• What is the fastest realistic implementation for a company like ours?
• What internal resources do you expect from us?
• How much configuration can finance manage without technical help?
• What does the first 30/60/90 days look like?
• What are the top reasons implementations fail?
• How do you handle data cleanup and mapping?

Support

• What support is included in the subscription?
• Do you provide a named CSM or technical account manager?
• What is your average response time for critical issues?
• Do you have finance-specific onboarding resources?
• How often do you release product updates, and how are they communicated?

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Common Mistakes to Avoid

Mistake #1: Buying a dashboard when you need a planning system

A lot of buyers are seduced by charts and visual polish. That is not FP&A. If the tool cannot manage workflows, assumptions, and versions, it will not solve your core problem.

Consequence: pretty reports, same planning chaos.

Do instead: make sure the platform can drive the planning process, not just display results.

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Mistake #2: Choosing the biggest suite because it sounds safest

Enterprise platforms can be powerful, but they are often overkill for mid-market buyers.

Consequence: long implementations, higher costs, more admin burden.

Do instead: match platform complexity to actual business complexity.

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Mistake #3: Ignoring data cleanup until implementation starts

Bad source data destroys timelines. Expect to spend 2–4 weeks cleaning up mappings, dimensions, and ownership before real configuration starts.

Consequence: delays, rework, and broken trust in the numbers.

Do instead: clean up master data before you sign the contract if possible.

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Mistake #4: Assuming Excel compatibility equals FP&A maturity

Spreadsheet-native tools can be excellent. But if the vendor only “connects to Excel,” that is not enough.

Consequence: you recreate your old process with a shinier wrapper.

Do instead: ensure the tool adds governance, workflow, and automation.

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Mistake #5: Underestimating change management

Finance software adoption fails when department heads do not understand the new process.

Consequence: shadow spreadsheets, low adoption, inconsistent forecasts.

Do instead: plan for training, approval workflows, and communication from day one.

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Mistake #6: Not testing the hardest use case first

Vendors will demo ideal scenarios. Your job is to test the ugliest one: multi-entity, exception-heavy, or messy legacy data.

Consequence: you discover limitations after signing.

Do instead: run one stressful, realistic use case in the evaluation process.

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Mistake #7: Buying based on AI claims

AI is helpful, but not if the model structure is weak.

Consequence: inaccurate forecasts dressed up as intelligence.

Do instead: test the underlying model logic, controls, and explainability.

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Mistake #8: Forgetting about admin ownership

If nobody owns the platform internally, it will decay quickly.

Consequence: broken integrations, stale models, user frustration.

Do instead: assign a clear finance system owner before implementation.

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Evaluation Timeline & Process

Recommended 7-week evaluation process

Weighted evaluation matrix template

Scoring advice:

• Score every vendor against the same use cases
• Do not let a great demo override weak integration
• Weight implementation risk heavily if your team is lean
• If a vendor cannot score at least 4/5 on your top two criteria, move on

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Implementation Reality Check

Typical implementation timelines by company size

Key success factors

• Clean source data
• Clear ownership
• Limited first-phase scope
• Executive sponsor support
• Finance-admin training
• Strong integration mapping
• A realistic change-management plan

What vendors won’t tell you

• Your first implementation will likely expose bad master data
• Department heads often need more training than finance expects
• Most “quick start” promises assume narrow scope
• Integrations that look simple in demos may need heavy mapping work
• You will probably change your chart of accounts or planning structure once users see the model
• Forecast accuracy improves only if the business actually uses the model to make decisions

Practical advice

Budget for:

• 2–4 weeks of data cleanup
• 1–2 weeks of internal process alignment
• At least one full planning cycle before judging success
• Ongoing admin time every month, not just during implementation

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Red Flags — When to Walk Away

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How This Guide Was Created

This guide was created using:

• Market analysis across the Financial Planning & Analysis subcategory
• Product review of the directory’s listed FP&A-related vendors and adjacent finance tools
• Category segmentation by company size, complexity, and use case
• Buyer-practice synthesis based on common enterprise software evaluation patterns

Review date: September 2026 Update frequency: Quarterly, or sooner if major product, pricing, or category shifts occur

Independence disclaimer: commercial.ai is an independent enterprise software directory. This guide is vendor-neutral and intended to help buyers evaluate the market based on fit, functionality, and implementation risk rather than brand popularity.

Financial Planning & Analysis solutions in the catalogue (60)

• Abacum by Abacum — The AI-native FP&A platform built for finance teams.
• Altair RapidMiner by Altair — A powerful data analytics and AI platform for connecting siloed data, unlocking insights, and accelerating innovation.
• ApprovalMax by ApprovalMax — Automate smarter. Approve faster. Streamline financial controls with confidence.
• ARGUS EstateMaster by Altus Group — Property development feasibility, budgeting, and cash flow forecasting software.
• ARGUS Intelligence by Altus Group — Next-generation CRE investment management and cash flow intelligence platform
• Board by Board — The Enterprise Planning Platform: Plan smarter, transform faster, and build a competitive edge.
• Bob Finance by HiBob — AI-powered FP&A and workforce planning unifying HR, payroll, and finance data.
• Budgeting and Forecasting Solution by Aleph — AI-native FP&A software & data management for finance teams.
• Cake Equity by Cake Equity — Simplify equity management, motivate your team, and accelerate growth.
• Cap Table Management by Capboard — Simplify equity management, cap tables, and ESOPs for startups and scaleups.
• Capboard by Capboard — Simplify equity management, fundraising, and investor relations for startups.
• Capdesk (now part of Carta) by Capdesk — Simplify multi-jurisdictional equity management from seed to IPO with a single platform.
• Captable.io by Captable.io — Simplify cap table management and equity modeling for startups, for free.
• CCH Tagetik Intelligent Platform by CCH Tagetik — Drive corporate performance with AI-powered financial planning, consolidation, and reporting.
• Centage Budget Maestro by Centage Corporation — AI-native FP&A software automating budgeting, forecasting, and reporting for mid-market teams
• Certent Disclosure Management by Insightsoftware — Automate and streamline financial reporting and disclosure processes with confidence.
• CoinTracker by CoinTracker — Simplify crypto taxes and track your portfolio with ease.
• Corcentric by Corcentric — Proven results. Built together.
• Coupa by Coupa — AI-Native Total Spend Management: Make Margins Multiply™.
• Credit Karma by Intuit — Your free guide to better credit and smarter financial decisions.
• Cube by Cube — The AI-powered financial intelligence platform that supercharges FP&A teams.
• Data Apps & Dashboards by Deepnote — Transform notebooks into interactive dashboards and data apps for insights & decision-making.
• Data Explorer by Kustomer IQ — Turn customer data questions into insights with natural language querying.
• Datarails by Datarails — Supercharge Excel for FP&A with AI-powered automation and insights.
• Drake Tax by Drake Tax — Trusted tax software for professionals offering efficient IRS-compliant solutions.
• Drivetrain by Drivetrain — Accelerate budgeting, reporting, and forecasting with AI-native autonomous FP&A.
• E*TRADE Equity Edge Online by E*TRADE Corporate Services — Streamline equity compensation management with flexible, accurate, and auditable solutions.
• Equity Plans (ESOP) by Capboard — Digitize and manage employee stock option plans (ESOPs) for startups and scaleups.
• Equity Valuation Center by Equilar — Determine the present value of market-based awards and make data-driven decisions.
• EquityList by EquityList — One-stop shop for equity & shareholder management for global businesses.
• Eqvista by Eqvista — Redefining private market valuations and equity management. AI-powered, human-delivered.
• Estate Planning Software by Holistiplan — Simplify and scale estate planning for financial advisors.
• ExecAtlas by Equilar — Real-time relationship intelligence to power executive engagement and accelerate deal flow.
• Extended Planning by CCH Tagetik — Connect finance, operations, HR, supply chain, and sales plans for comprehensive extended planning.
• Fidelity Stock Plan Services by Fidelity Stock Plan Services — Streamlined equity compensation management for companies and their employees.
• Figured by MYOB — Cloud-based farm financial management for dynamic reporting and performance insights.
• Financial Model Automation Platform by Aleph — AI-native FP&A platform to automate financial models and streamline data workflows.
• Financial Modeling Services by Slidebean — Expert financial modeling services and templates for startups to plan funding, track runway, and forecast revenue.
• Financial Planning and Analysis Software by Holistiplan — Simplify and scale financial planning for taxes, insurance, and estates.
• Fishbowl AI Insights by Fishbowl — Get on-demand business data, analytics, and actionable insights instantly with AI.
• Fraxion by Fraxion — Powerful procure-to-pay software for proactive spend management and operational efficiency.
• FreeTaxUSA by freetaxusa — File your federal taxes for free, regardless of your tax situation.
• Funding Simulations by Capboard — Simulate funding rounds, manage equity, and prepare for investment with comprehensive tools.
• Fundraising by Pulley — Model fundraising scenarios, issue SAFEs, and manage capital transactions.
• IBM Planning Analytics by IBM — Unify business planning with AI-powered insights and real-time analysis.
• Infor Birst by Infor — Connects data across the enterprise to drive smarter decision-making.
• Infor CloudSuite ERP by Infor — Industry-specific cloud ERP solutions for finance, supply chain, and manufacturing.
• Insights by Balto — Quantify call patterns to drive business decisions and improve contact center performance.
• Integrated Business Planning (IBP) by o9 Solutions — Unifies demand, supply, and financial planning on a single platform for optimal decision-making.
• Intuit ProSeries by Intuit — Streamline tax preparation, boost accuracy, and enhance client service for accounting firms.
• Investor Finder by Slidebean — Weekly investor matches and a CRM to streamline your fundraising efforts.
• Jirav by Jirav — All-in-one financial planning, budgeting, forecasting, and reporting.
• JustPerform by Insightsoftware — AI-powered financial planning platform with visual analytics and operational planning capabilities.
• Koinly by Koinly — Automate crypto tax reports and track your portfolio in minutes.
• Ledgible by Ledgible — Making digital assets legible for institutions, enterprises, and tax professionals.
• LiveFlow FP&A Platform by LiveFlow — Automate financial reporting and consolidation for multi-entity businesses.
• LoanMagic® by DocMagic, Inc. — Empowering borrowers to manage their mortgage loan process from their mobile device, cutting time and boosting engagement.
• Lovat by Lovat — Automate global VAT, sales tax, and EPR compliance for e-commerce businesses.
• Mastermind AI Platform by AppZen — AI-powered automation and predictive analytics for modern finance teams.
• Medius by Medius — Beyond automation. Beyond expectations. Spend is simply managed.