The leading financial planning tools for life sciences fall into three groups: accounting systems that record actuals, FP&A platforms that plan runway and programs, and spreadsheets for ad hoc analysis. Abacum is the AI-native business planning platform for scaling enterprises. It brings all your data, business logic and business context into one governed place. This guide compares the tools biotech and life sciences finance teams weigh and explains which group solves which problem. Runway is the plan: 33% of public US and EU biotechs had under 12 months of runway at the end of 2025 (EY, via BioSpace, 2025).

Three groups of tools

Group

Job

Examples

Accounting and ERP

Record actuals and close the books

Sage's biotech and pharmaceutical accounting suite

FP&A and business planning platforms

Runway, program cost, scenarios, board reporting

Abacum, Jirav, Anaplan, Pigment, Workday Adaptive Planning, Planful

Spreadsheets and add-ons

Flexible analysis

Excel, Google Sheets, Cube, Datarails, Vena

What a life sciences planning tool should do

  1. Rolling cash forecast. Plan week by week and stay board-ready.

  2. Spend by program and phase. Know what each program really costs.

  3. Milestone and financing scenarios. Model trial readouts, delays and the next raise.

  4. A budget that matches the ledger. Build the budget on the same accounts as your actuals.

  5. Explainable outputs. Every figure links back to its source data and assumptions.

Tools compared

Tool

Approach

Confirm in a demo

Abacum

AI-native business planning platform on one governed layer of data, logic and context

Runway, program cost and scenarios on one model

Jirav

Dashboards and planning connected to accounting systems, with a life sciences solution page

Program and phase detail

Anaplan

Multi-dimensional planning for large, complex models; publishes a life sciences industry page focused on supply and value chain

Fit for R&D finance planning

Pigment

Flexible modeling platform for teams willing to build and maintain their own planning models

Who owns the model after go-live

Workday Adaptive Planning

Planning connected to the Workday suite

Fit with your systems

Planful

Planning and reporting with pre-built templates

R&D budget templates

Cube

Planning that runs on Excel or Google Sheets

Version control

Pigment is a flexible modeling platform for teams willing to build and maintain their own planning models. Your team or an implementation partner designs it and keeps it running, so confirm who will own the model after go-live.

Where Abacum fits

  • Runway you re-forecast as often as the science changes. A rolling cash forecast, planned week by week, that stays board-ready.

  • Know what each program really costs. Spend by program and phase, without a data team.

  • Scenarios around milestones and financing events, modeled on the live plan.

  • A budget that matches the GL. Budget versus actuals reconciles without mapping Excel to the ledger by hand.

  • AI Modeler. Describe the model you need in plain language, or bring the spreadsheet you already built, and get a working model in minutes. Add a program or a new variable by asking, even in models you inherited. The agent proposes, the engine calculates and you approve.

  • Included, not metered. No credits, no meter, no hidden fees.

We position Abacum on the finance layer. Implementation runs six to nine weeks depending on data complexity, entity count and workflows.

Budget differently with Abacum

In this article

Three groups of tools
What a life sciences planning tool should do
Tools compared
Where Abacum fits

Frequently Asked Questions

What financial planning tools do life sciences companies use?

Most use an accounting system for actuals and an FP&A platform for runway, program cost and scenarios.

Do I need industry-specific planning software?

You need a platform that models programs, phases and milestones. Ask each vendor to show a trial delay and a financing event on one plan.

How is runway planning different in biotech?

Cash needs change with every study decision, so teams re-forecast more often and tie spend to programs.

Meet AI Modeler: financial models in plain language. No formulas needed.
Meet AI Modeler: financial models in plain language. No formulas needed.
Meet AI Modeler: financial models in plain language. No formulas needed.