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Platform · Architecture

Enterprise Planning Architecture, Finally Built to Scale.

Fintastic is an enterprise planning and analysis (FP&A / EPM) platform engineered architecture-first: a density-agnostic engine for sub-second calculations, unlimited concurrent scenarios, and a single model that handles enterprise-scale complexity without compromise.

Fintastic enterprise planning and analysis dashboard
01 / The problem

Most Platforms Work Until Complexity Catches Up with Them.

Models split. Performance slows. Scenarios become a luxury teams cannot afford. The patterns are familiar, and they are not team problems:

Calculations that take forever

The requirement is seconds, but recalculations stretch into minutes or hours as datasets grow.

Models fragmented everywhere

Logic scattered across files, modules, and disconnected sheets just to keep the platform usable.

Concurrency that freezes

Concurrency during planning cycles causes the platform starts to lock up.

Cycles that drag

Long planning cycles inside a company that needs instant answers.

These aren't team problems. They're architecture problems. Fintastic was built from the ground up to remove them.

02 / Computation engine

Model Any Data Structure Without Changing Platforms.

Customer and product-level revenue, multi-entity detail, and workforce history are inherently sparse. Consolidated P&Ls, departmental budgets, and salary planning are inherently dense.

Fintastic handles both in a single model, so finance, workforce, revenue, and operations teams analyze granular detail across dimensions while planning at the summary level. No separate models, no data movement, and no architectural decisions required upfront.

Fintastic live multi-board planning model recalculating in seconds

01 · dense

Dense Data

Handles populated cubes where most dimensional intersections contain values. Common in consolidated financial models and high fill-rate operational datasets.

02 · sparse

Sparse Data

Handles large dimensional spaces that are only selectively populated, proven in production well beyond the 2³² and 2⁶⁴ combination limits that constrain other platforms.

03 · One engine

One Unified Engine

Dense and sparse both run on the same engine. It reads data characteristics at the calculation level and converts representations on its own, so they compute together in one operation with nothing to configure.

Multi-entity models are calculated in a single operation, not entity-by-entity. Calculations complete in seconds regardless of model size, dimensionality, or concurrent user count. This is not a performance target. It is an architectural characteristic.

03 / Adaptive modeling

Models That Represent Your Business, Not a Simplified Version of It.

Traditional platforms impose structural constraints: predefined dimensions, rebuilds on schema changes, new models for every new business line. Fintastic eliminates that trade-off.

Arbitrary dimensionality

No hard limit on dimensions, members, or hierarchical depth. No need to create artificially concatenated dimensions.

Flexible schema

Structure follows your business logic, not platform module boundaries. No rigid templates.

Single model instance

Finance, revenue, workforce, marketing, IT, and operations live in one model. Change one assumption and every dependent calculation updates immediately.

Structural evolution without rebuilds

Add a product line, enter a market, or reorganize. The model adapts. You do not start over or call a consultant to restructure.

04 / Versioning architecture

Every Scenario Is Fully Isolated. Every Calculation Is Independent.

On most platforms, scenarios share compute and memory, so adding versions degrades performance and locks users out. Fintastic works differently.

Fintastic version comparison showing variance across multiple budget scenarios

Legacy platforms

Fintastic

Versions share memory and compute

Each version is fully isolated

Adding versions slows the platform

Performance stays constant at any version count

Comparing versions requires matching structure and dimensionality

Compare versions across different structures, dimensions, and data automatically

Users are locked out during calculations

Users can perform parallel updates across all versions simultaneously

Cloning takes minutes or hours

Near-instant cloning with all logic and structure preserved

3–5 active scenarios is a practical limit

No limit on concurrent versions

05 / Data architecture

Continuous Synchronization. Not Overnight Batches.

Continuous synchronization keeps the model live. Only what changed is processed, so updates are fast and the numbers are always current.

⇄ Incremental ingestion

New and changed records are detected and ingested continuously. The platform does not reload entire datasets to reflect an update.

◎ Targeted recalculation

Only the calculations affected by a change are recomputed. A single actuals update does not trigger a full-model recalculation.

Fintastic profit and loss statement with transaction-level drill-down

Pre-built integrations

Native and API connections to the systems you already run:

NetSuite

Salesforce

Workday

Oracle

Google BigQuery

Snowflake

OneStream

See all integrations →

06 / Modeling language

Powerful Enough for Complex Logic. Learnable in Weeks, Not Months.

Expressive enough for complex logic, approachable enough that analysts build and own models without engineering support.

Fintastic visual formula builder designed for finance and business users

Expressive logic

Handles complex, multi-dimensional business rules without workarounds or external scripts.

AI-assisted formula building

Describe the intent and the platform helps construct, validate, and explain the formula.

Productive in weeks

New builders reach production-grade output in three to four weeks, not months.

07 / Embedded intelligence · Smartastic

AI That Operates Inside the Model, Not on Top of It.

Smartastic works on the same data, formulas, and permissions your team uses every day. No separate data layer, no exported copy, no hallucinated numbers.

Smartastic answering a natural-language planning question inside Slack

Ask in plain language. Smartastic answers from the live model, with the logic behind every number.

structural awareness

It reads your model, not a flat table

Understands dimensional structure and formula dependencies, so answers reflect how the model actually works.

permission-aware

Inside the permission boundary

Respects entity and dimension-level permissions, not as a post-filter. Users only see what they are allowed to see.

natural language

Live answers, no export step

Ask questions in plain language inside the tools you already use, including Slack.

formula assistant + docs

Build faster, document automatically

Builds and explains formulas and generates model documentation on demand.

Every answer is grounded in the live model, so the number you get is the number in the plan.

08 / Governance & security

Granular Controls. Full Auditability. Enterprise Certifications.

Control, isolation, and auditability are structural characteristics of the platform, not bolt-on features.

🔒 Access control and auditability

Cell-level permissions across entities and dimensions

Data masking for sensitive figures

Version isolation with role-based access control

SSO and complete audit trails

🛡️ Certifications and compliance

SOC 2 Type II

ISO 27001

AWS infrastructure

Encryption in transit and at rest

Continuous monitoring

Annual disaster-recovery testing

Learn more about security →

09 / Measured performance

Measured Against the Same Datasets. Same Requirements.

These are outcomes from production implementations, not lab benchmarks.

from 15 min

13 sec

Scenario calculation

~98% faster

from 5 models

1 model

Unified forecasting

Fully consolidated

from 2-5 users

Unlimited

Concurrent users

No user ceiling

from ~1 hr

<5 min

Actuals import

~90% faster

from 15 min

<3 min

BigQuery export

~80% faster

from 3 months

3-4 wks

Builder onboarding

~70% faster

10 / Technical FAQs

Platform Architecture, Answered

Can we consolidate multiple disconnected models into one?+

Yes. The adaptive modeling architecture supports arbitrary dimensionality without rigid modular constraints, so your entire business can operate within a single model instance. In one enterprise implementation, a customer consolidated from 5 disconnected models into 1 fully interconnected model with no performance trade-offs. This is one of the most common migration patterns we see.

How does Fintastic perform in a head-to-head evaluation?+

We encourage structured proof-of-concept evaluations using your actual data and requirements. In these evaluations, Fintastic has consistently delivered results in seconds, with customers reporting calculation improvements of up to 80x. We can set up a POC so you can benchmark performance directly against your current platform.

How much of the implementation can our team own?+

The platform is designed to be self-serve and low-code. In enterprise implementations, internal teams have driven 80%-90% of the build. Model builders with no prior enterprise planning platform experience have onboarded in 3-4 weeks and built production-grade structures independently.

How does the AI differ from what other vendors offer?+

Fintastic AI operates directly inside the planning model, on the same data, formulas, and permission structures your team uses every day. It understands the model's dimensional structure and formula dependencies. It respects entity-level and dimension-level permissions, not as a post-filter. That means no hallucinated numbers, no answers that contradict what the model shows, and full traceability.

How many concurrent users without performance degradation?+

The platform supports unlimited concurrent users in complex enterprise models with no degradation. The architecture handles parallel access natively with no locking, no queuing, and no version conflicts.

See the Architecture with Your Data.

Bring your real models and data. We will run a proof of concept and show you the performance, the scenarios, and the AI on your own numbers.