Describe what you need in plain English and the engine builds it. Models, formulas, agents, reports, dashboards. Live operations, governed AI, and the entire operational surface in one place.
Not feature checklist additions. Core capabilities designed to collapse lag, handoffs, and manual reconciliation.
Model across any number of dimensions - products, regions, time periods, scenarios, currencies. No artificial limits.
Model any level of detail without worrying about system limits
Connect directly to your CRM, ERP, data warehouse, or market data feeds. Plans update as transactions flow in - not from overnight batch loads or last month's export. This is architecturally unique: live operational data runs directly against the planning model, so agents act on current reality and variance between plan and actual is detected in real time, not discovered in the next review cycle.
The first planning platform where the model reflects what is happening right now
Create what-if scenarios in milliseconds, experiment freely, and merge the winner back. Full version history and one-click rollback.
Change an assumption and every dashboard, roll-up, and report updates instantly. No waiting, no refresh buttons, no recalculation queues.
Multiple users editing the same model simultaneously. See changes as they happen with full audit trail.
Build deeply nested business logic without hitting limits. Built-in validation catches circular references and broken dependencies automatically.
Dimension order, hierarchy depth, module layout - none of it affects performance. Build models that make sense, not models that "perform."
Every change tracked at the cell level with who, what, when, and why. Approval workflows gate sensitive actions. Source attribution links every value to its origin. Audit-ready by default, not as an afterthought.
Reduces audit preparation time and satisfies regulators without manual evidence gathering
AI reduces the dependency on external consultants and long implementation cycles. Your finance team describes what they need and the system builds it: models, formulas, reports, and workflows. Upload your own knowledge files to teach the AI about your specific business context, policies, and procedures. Changes that used to take weeks happen in a conversation.
Finance teams build and iterate without waiting for IT or professional services
Describe a revenue model, a cost allocation formula, an agent workflow, or a board report in plain English. The engine builds the complete structure: modules, line items, formulas, dimensions, dashboards, and scheduled agents. AI reduces the dependency on consultants and configuration wizards. Just describe what you need.
Every aspect of the platform is configurable through natural language
We built Nordite to fix the frustrations finance teams face every day.
Complex platforms often require consultants and lengthy configuration cycles.
Hit refresh and wait 15 minutes for a simple recalculation? Unacceptable.
Arbitrary caps on dimensions force you to flatten data and lose granularity.
Enterprise pricing that scales with data volume? That's a tax on success.
Separate tools for planning and reporting? Constant data exports and reconciliation?
Simple changes require expensive professional services and weeks of lead time.
Overnight batch loads mean you're always planning on yesterday's numbers. By the time reports are ready, they're already stale.
AI assistants can chat about theory but can't actually read, build, or modify your planning models.
Everything you need to run finance at scale - from ETL to reporting to AI-powered insights.
Design complex calculation flows visually. Chain data sources, transformations, and outputs in intuitive directed graphs.
AI builds models, populates data, analyzes results, and creates reports for you. Describe what you need in plain English and let AI handle the rest.
Connect to systems such as Salesforce, SAP, NetSuite, Snowflake, databases, and files. Scheduled or live imports include data quality validation.
Statistical, ML-powered, and state-based forecasting. Trend analysis, seasonality, driver-based projections, cohort modeling, and regime-aware forecasts with confidence intervals.
Interactive dashboards with drill-down. Scheduled reports, PDF exports, and embedded analytics for stakeholders.
SSO via SAML and OIDC. RBAC and ABAC with deny-override semantics enforced at the cell-intersection level. Module locking, locked periods, and immutable audit trails. Air-gapped deployment for sovereign requirements.
Multi-stage approval processes for budgets and forecasts. Notifications, escalations, and deadline tracking built in.
Every change tracked with who, when, and why. Version history, rollback, and compliance-ready reporting.
Flexible deployment options support managed, private cloud, on-premise, and restricted-network environments depending on customer requirements.
Performance is independent of model structure. Model your business the way it works, not the way the system demands. No optimization consultants needed.
Instant, zero-cost model branches for what-if analysis. Explore alternatives without duplicating data. Diff, merge, and rollback like version control for planning.
Configure agents with cron schedules to execute recurring workflows. Daily risk scans, weekly forecast refreshes, monthly consolidation reports - all running unattended with full governance and audit trails.
Define reusable Python or R scripts and register them as callable MCP tools. AI agents discover and execute your custom logic on demand - scoring models, data transformations, validation rules - all running in sandboxed containers with no network access.
Agents fetch real-time market data during analysis: equities, commodities, bonds, FX rates, indices, ETFs, and crypto. Models always reflect current market conditions without manual updates.
Monte Carlo simulation traces formula dependencies across the full model. Vary inputs in one module and see cascading effects through operations, allocation, and margin analysis - all re-evaluated per iteration.
State-based analysis models customer lifecycle, pipeline conversion, subscription tier migration, and AR aging. Regime-aware forecasts help teams adapt to changing revenue patterns.