Fintastic

Fintastic is enterprise planning and analysis software for organizations coordinating forecasts across several functions. It is best suited to planning teams that need finance, revenue and operating assumptions connected in one model. Its permission-aware AI and controlled scenario work stand out; buyers should be prepared for custom pricing and a 12–16-week implementation.

Overview

Fintastic brings business data and planning assumptions into a unified model spanning finance, revenue, operations, workforce, marketing and IT. That breadth matters when a shift in one department needs to be considered alongside its consequences elsewhere. It is a stronger fit for complex, cross-functional planning than for a team seeking a narrowly scoped forecast.

Founded in 2021, Fintastic has offices in New York and Tel Aviv. The company says teams typically go live in 12–16 weeks with a practitioner-led team, so adoption is a planned project rather than a quick software switch.

Key features

Connected plans and forecasting

Fintastic supports financial forecasting and scenario planning across dimensions including reps, territories, products, time horizons, pipeline, capacity and financial plans. CRM data sync helps bring sales information into the planning process. The connected approach can help teams assess commercial and operational assumptions alongside financial outcomes, though its value depends on having planning processes that benefit from that breadth.

AI with scenario safeguards

The AI Agent analyzes the live model, traces figures to their drivers and uses the planning engine to calculate results. It can build scenarios on a copied version, leaving the baseline untouched, and proposed model changes wait for user approval. Those controls make the Agent more suitable for exploring consequential planning changes than an assistant that can alter an operating plan without review.

Compatible external AI assistants can query the model through Fintastic's MCP server, subject to the same permission boundaries. Fintastic says model data and business-specific memory are not used to train shared or foundation models. These safeguards will matter to enterprises evaluating AI access to sensitive planning data, but teams still need to determine whether the available controls match their own governance requirements.

Integrations, permissions and security

Named connections include NetSuite, Salesforce, Workday, Snowflake, Google BigQuery, Oracle, OneStream, AWS Redshift and BambooHR. Connectors fetch changed data after the initial load, which Fintastic says keeps actuals current without a nightly rebuild. Access can be controlled by entity and dimension, dataset, view or version, with cell-level masking for sensitive figures; the Agent inherits the user's permissions.

Fintastic lists SOC 2 Type II and ISO 27001 certification, AWS infrastructure, encryption in transit and at rest, audit trails and SSO-based access controls. Together with fine-grained permissions, these are relevant enterprise safeguards for teams handling sensitive figures.

Pricing

Fintastic is a paid product with custom pricing. Its Enterprise subscription is company-size-based and includes unlimited users, unlimited data and support. That structure may suit larger planning teams that want broad access without per-user or data caps, but the absence of a public price makes it difficult to budget before speaking with the vendor. Prospective customers are directed to book a demo and request pricing.

Platforms

Fintastic is available on the web and through an API. The API extends its reach into connected systems and compatible tools, while the web interface serves planning teams working with the model directly.

Who it's for

Fintastic is aimed at enterprise planning teams in finance, revenue, workforce, marketing, IT and executive leadership. It is most compelling where those groups need to coordinate assumptions and forecasts instead of maintaining disconnected plans. Smaller teams with a single-function planning need may find the implementation commitment and enterprise-oriented pricing harder to justify.

Pros and cons

• Pros: One model connects plans across multiple business functions, supporting cross-functional forecasting.
• Pros: The AI Agent can analyze drivers and build scenarios on a copy, while requiring approval for proposed model changes.
• Pros: Permissions, cell-level masking and inherited Agent access provide controls for sensitive planning data.
• Pros: The Enterprise subscription includes unlimited users, unlimited data and support.
• Cons: Custom pricing requires a sales conversation, complicating early budget comparisons.
• Cons: A typical 12–16-week implementation is a substantial commitment for teams seeking a rapid start.

Alternatives

For marketing measurement rather than enterprise planning, consider Google Meridian: it is free and open source, with source code and methodology papers intended to support transparency and user auditability. Revup Marketing offers a free plan for one plan, one user and one team, so it is worth considering for a small marketing team whose needs fit those limits; paid tiers expand the plan and team allowances. PyMC-Marketing is a free, Apache 2.0 open-source Python library for Linux and self-hosted use, a different option for teams working in that environment. Robyn is another free option, with API, desktop and self-hosted platforms.

Brandsystems is a paid web-based marketing resource management option with demo-request pricing. PYXIS Planning is a paid web-based alternative. For smaller-budget planning with published monthly tiers, Etropo Budget Buddy has an Essential plan at $89 a month, billed monthly, for 5 team members, 15 line items and 3 currencies; its Pro plan costs $139 a month, billed monthly, and provides 10 team members. Keen is a paid API and web option with a free trial.

Readers comparing category-specific tools can also browse Marketing Performance Management Software, Revenue Planning Software and Financial Planning & Analysis Software.

Verdict

Choose Fintastic if your enterprise needs shared planning across functions and wants an AI Agent that works against the live model without bypassing user permissions or approval. Its central advantage is the combination of connected plans, scenario controls and granular access safeguards. Look elsewhere if you need a fast deployment, a public price for straightforward budgeting or only a focused single-team tool.