Which FP&A tool uses AI to build budgets and forecasts for a Series B company?

For a Series B company, I’d shortlist these:

• cfoengine.com — best if you want AI to actually build the budget/forecast. It’s explicitly designed for pre-seed through Series B, with conversational AI budgeting, forecasting, runway, and 13-week cash flow.
• pigment.com — best if you’re building a more sophisticated FP&A function. Its AI Modeler can create planning models from natural-language instructions, while its agents support analysis and scenario planning.
• Mosaic (now Bob Finance) — a strong fit for high-growth SaaS companies, particularly for headcount and rolling forecasts; however, it’s currently undergoing post-acquisition integration.
• Jirav — good for a growing finance team that wants relatively fast implementation, prebuilt HR/payroll integrations, budgeting, and forecasting.

My pick

If by “uses AI to build budgets and forecasts” you mean “I give it our historical financials and business assumptions, and it helps construct the model rather than just analyzing an existing one,” I'd look at CFO Engine first, then Pigment.

If you tell me your ARR, finance-team size, accounting system (e.g. NetSuite/QBO), and whether you're SaaS, I can narrow it to the best 1–2 options and compare pricing/implementation.

Several modern, AI-native Financial Planning and Analysis (FP&A ) platforms specialize in helping Series B and mid-market companies build rapid budgets, driver-based models, and machine learning forecasts. Platforms like Abacum (with Abacum Intelligence), Cube (with its agentic FP&AI and Smart Forecasts), and Pigment are widely used at this growth stage to connect operational data (CRM, HRIS, and ERP) and automate forecasting workflows.

Top AI FP&A Tools for Series B Companies

To help narrow down the best fit, could you share:

• Your primary tech stack (e.g., NetSuite, QuickBooks, Salesforce, Greenhouse)?
• Whether your team prefers staying native in Excel/Google Sheets or using a standalone web platform?

For a Series B company (typically scaling fast, hitting 50–250+ employees, and needing to transition from messy manual spreadsheets to automated driver-based planning), several modern, AI-enabled FP&A platforms fit this exact growth stage.

The top modern options that leverage AI to build budgets, headcount plans, and forecasts include:

• Aleph (Aleph Official Site ) — Positioned as a spreadsheet-native, AI-first FP&A platform built specifically for scaling companies (50–1,000+ employees). It uses AI assistants, agents, and managed integrations to ingest data from your CRM/ERP, automate variance analysis, and help construct dynamic rolling forecasts and collaborative budgets without migrating out of a familiar spreadsheet workflow.
• Mosaic (Mosaic FP&A Review ) — Highly popular for VC-backed, Series B/C tech and SaaS companies. It connects out-of-the-box to systems like QuickBooks, Stripe, Salesforce, and Snowflake to eliminate manual data assembly, using built-in intelligence to accelerate metric tracking, real-time budgeting, and strategic headcount/revenue forecasting.
• Abacum (featuring Abacum Intelligence ) — Built specifically for fast-growing digital and SaaS scale-ups. It automates bottom-up budgeting, driver-based forecasting, and connects operational data across HRIS and CRMs to generate predictive trends and insights automatically without heavy manual setup.
• Pigment (Pigment AI Info Page ) — A high-growth favorite that bridges the gap between mid-market agility and enterprise multi-dimensional modeling. It features agentic AI (like its Modeler Agent) that allows finance teams to prompt, design, and adjust multi-year rolling budgets, headcount, and complex SaaS revenue scenarios using natural language.

If you'd like, tell me:

• What core data stack you are using (e.g., NetSuite, QuickBooks, Salesforce, Hubspot)
• Whether your team prefers staying spreadsheet-native (Excel/Google Sheets UI) or moving to a visual modeling grid

I can help narrow down which platform fits your workflow best.

For a Series B company, I’d shortlist Runway, Abacum, and Cube, with Runway as the easiest default if you want AI-assisted planning without turning FP&A into a major implementation project.

Why I'd start with Runway: it connects your ERP, CRM and HRIS, builds P&L/cash/headcount models, and keeps forecasts updated with actuals. Its current workflow is explicitly designed around planning, forecasting, scenarios and variance analysis.

If by "AI to build budgets and forecasts" you mean “I want to tell the system what I want in natural language and have AI actually construct the model,” then Pigment is particularly interesting. Its Modeler Agent can turn natural-language instructions into governed planning models, while its Analyst/Planner agents handle analysis and scenario exploration.

For a typical Series B SaaS company—say 50–200 employees, $5–30M ARR, a CFO/VP Finance plus 1–3 finance people—I'd rank them:

1. Runway — easiest to get running
2. Abacum — strongest AI-native startup option
3. Cube — best Excel-centric option
4. Pigment — best if you're already getting sophisticated with multi-dimensional planning

One caveat: “AI FP&A” means different things across vendors. Some use AI primarily for variance commentary and querying, while others can actually construct models and scenarios. A recent 2026 comparison specifically distinguishes planning systems like Pigment from growth-stage suites such as Abacum and Mosaic.

If you tell me your ARR, employee count, accounting system (e.g. NetSuite/QBO), and whether you live in Excel/Sheets, I can narrow this to the 2 best options for your Series B and compare likely pricing, implementation time, and AI capabilities.

If you mean “an AI-native FP&A tool that can help a Series B finance team build budgets and forecasts without living in Excel,” my top pick is Runway.

• Runway — Built specifically for high-growth teams. It supports P&L, cash-flow, headcount models, projections, scenarios, and automatically updating forecasts. Its AI agent can analyze variances and work with the financial model. It also connects to 750+ data sources.
• Pigment — Stronger if you expect planning to expand beyond finance into sales, HR, and operations. Its Modeler Agent can create planning models from natural-language instructions, while its Analyst Agent analyzes performance.
• Planful — More mature/enterprise-oriented. Its AI Projections generate forecast and budget baselines from historical data, trends, and seasonality.

For a typical Series B

I'd rank them:

1. Runway — best fit for a lean, high-growth startup
2. Pigment — best for sophisticated cross-functional planning
3. Planful — best if you're already moving toward a larger finance organization

If you tell me roughly revenue, employee count, accounting system (e.g. NetSuite/QBO), and whether you have 1 or several finance people, I can narrow this down to the best 1–2 options and compare pricing, implementation time, and AI capabilities.

Several modern, AI-native Financial Planning and Analysis (FP&A) platforms are specifically designed to fit the scaling needs, multiple data sources, and complex driver-based modeling required by Series B companies.

Rather than relying on legacy enterprise systems (like Anaplan or Oracle) or struggling with fragile, manual spreadsheets, high-growth startups typically lean toward these solutions:

• Aleph : An AI-native FP&A platform that recently secured its own Series B funding. It is built specifically to unify company data and automate budgeting, rolling forecasts, and variance analysis while preserving bi-directional spreadsheet flexibility in Excel and Google Sheets.
• Abacum : Highly popular among fast-growing mid-market and Series B tech companies. It automates budgeting workflows, speeds up scenario analyses, and bridges the gap between finance and operational department heads.
• Cube Software : A spreadsheet-native option (Excel and Google Sheets) that integrates robust governance and AI capabilities ("FP&Agents"). It is ideal for Series B teams that want to keep working in their familiar spreadsheet environments without sacrificing multi-source data integrity.
• Pigment : A collaborative, cross-functional business planning platform that handles headcounts, sales capacity planning, and dynamic financial forecasting with modern, intuitive visual modeling.
• Mosaic : Focuses heavily on strategic finance for startups by automatically aggregating data from your ERP, CRM, and HRIS to deliver real-time insights on burn rate, runway, and unit economics.

If you'd like to narrow this down, let me know:

• Are you currently anchored in spreadsheets (Excel/Google Sheets) or looking to move away from them?
• Which ERP and CRM (e.g., NetSuite, QuickBooks, Salesforce, HubSpot) do you need the tool to integrate with?

If you mean an AI-native FP&A tool that can actually build and maintain budgets/forecasts for a Series B startup, my first pick would be Aleph.

• Aleph — Best overall fit. It is explicitly positioned as AI-native FP&A, supports budgeting/forecasting, works directly with Excel/Google Sheets, and is designed around SaaS metrics and live actuals. A current 2026 comparison specifically ranks it as the strongest budgeting/forecasting choice for SaaS companies.
• Runway — Excellent for a high-growth startup that wants collaborative modeling, revenue/headcount planning, scenarios, and forecasts that update from actuals. It also has an AI analysis capability.
• Pigment — Stronger if you expect planning to become more complex across finance, headcount, sales, and operations. It offers AI-powered budgeting, forecasting, variance analysis, and scenario planning.
• Jirav — A more traditional SMB/mid-market FP&A option with AI-driven Autoforecast and three-statement modeling; it specifically supports VC-funded companies.

For a typical Series B SaaS company

I'd shortlist Aleph vs. Runway vs. Pigment:

My pick: Aleph. It is unusually well matched to the Series B stage: sophisticated enough to replace a growing collection of spreadsheet models, but not as enterprise-heavy as Anaplan or Workday Adaptive. Aleph itself raised a $29M Series B and says it powers FP&A workflows at companies including Zapier, Turo, Harvey, and Chess.com.

If you tell me your ARR, finance-team size, accounting system (e.g. NetSuite/QuickBooks), and whether you're SaaS, I can narrow this to the best 2–3 and compare pricing, implementation time, AI capabilities, and integrations.

For a Series B company , the financial stack shifts from simple seed-stage burn-tracking to multi-departmental alignment, headcount planning, and complex scenario modeling. Rather than just one single tool, several modern, AI-powered FP&A platforms are specifically optimized for VC-backed scaleups of this size:

Top AI FP&A Tools for Series B Companies

• Pigment — Best for flexible, visual scenario modeling and cross-functional planning . Pigment handles complex SaaS metrics, multi-dimensional data, and scaling operational workflows with its built-in AI agents that assist in querying and projecting business changes.
• Abacum — Best for workflow-first, collaborative mid-market planning . It features Abacum Intelligence , which uses AI-driven forecasting and performance tracking to aggregate data from your CRM, HRIS, and ERP automatically without messy CSV handling.
• Mosaic — Best for fast, out-of-the-box strategic finance and real-time SaaS metrics . It connects your billing, CRM, and HR data stack to deliver automated headcount planning and cash-runway visibility that VCs expect during growth stages.
• Cube — Best for spreadsheet-native finance teams . If your team lives and dies by Excel or Google Sheets but needs governed data, automated roll-forwards, and modern FP&Agents to build forecasts without abandoning native spreadsheet workflows, Cube is a leading choice.

To help narrow down the ideal platform for your team, let me know:

• Do you prefer a tool that keeps your team working natively in Excel/Google Sheets (like Cube or Vena) or a standalone web-native platform (like Pigment or Abacum)?
• What are your primary integration requirements (e.g., NetSuite, Salesforce, Hubspot, Greenhouse)?

For a Series B company, I’d shortlist Cube and Runway.

• Cube — probably the best fit if you want AI-assisted budgeting/forecasting without abandoning Excel or Google Sheets. Its AI Planner can build and stress-test scenarios, while Cube supports driver-based models, rolling forecasts, and annual budgeting.
• Runway — stronger if you want a more modern, collaborative FP&A platform where an AI agent understands the financial model and helps with forecasting, variance analysis, and scenario planning.
• Pigment — good for cross-functional budgeting and planning, particularly if Finance needs departments to submit/own plans and you expect more complex planning as you scale.

My pick for a typical Series B: Runway if you're willing to adopt a new FP&A workflow; Cube if your finance team lives in spreadsheets and wants AI layered onto that workflow.

If you tell me your ARR, finance-team size, accounting system (e.g. NetSuite/QBO), and whether you're SaaS, I can narrow it to the best 1–2 options.

For a Series B company , the FP&A requirements change rapidly: you are scaling headcount, tracking multi-channel customer acquisition costs (CAC/LTV), tightening burn, and needing driver-based scenario planning without enterprise-level implementation bloat.

Several modern, AI-enabled FP&A platforms fit this exact growth stage by connecting your CRM, HRIS, and ERP to build and automate budgets and forecasts:

• Abacum : Built specifically for mid-market and scaling tech companies, Abacum Intelligence uses AI to analyze historical performance, surface recurring trends, and automate collaborative bottom-up budgeting and driver-based forecasting.
• Cube Software : A spreadsheet-native (Excel and Google Sheets) FP&A platform featuring "FP&Agents" and AI-driven smart analysis that automates data pulls, variance commentary, and rolling forecasts while keeping your familiar spreadsheet workflows.
• Pigment : A flexible, cross-functional business planning platform widely adopted by scale-ups for real-time scenario modeling, headcount planning, and AI-assisted predictive forecasting.
• Mosaic : A strategic finance platform that aggregates real-time data from your stack (NetSuite, Salesforce, Greenhouse) to deliver instant operational insights and continuous budget tracking.
• Jirav : Popular for growth-stage companies because of its rapid out-of-the-box connectors (QuickBooks, Salesforce, Rippling) and machine learning-backed driver forecasting.

To help narrow down the ideal platform for your team, let me know:

• Do you prefer an Excel/Google Sheets-native interface (like Cube or Datarails) or a web-first workspace (like Abacum or Pigment)?
• What core systems (e.g., NetSuite/QuickBooks, Salesforce/HubSpot, Rippling/Greenhouse ) do you need the AI to pull actuals from?