Integration scope
Connected to your environment.
Finance data sources and system connections are assessed during discovery. Production access and deployment are subject to the agreed project scope.
Financial planning & decision support
Forecast more clearly. Detect changes sooner. Explore what comes next.
Neural Nest Financial Intelligence solutions bring time-series forecasting, anomaly detection, variance explanations and scenario modeling into connected workflows for finance and planning professionals.
A closer look
Inside the solution.
Built around your work.
01A connected view of budgets, forecasts and emerging risks
Finance teams need more than a number: they need to understand the drivers, confidence and decisions behind a projection.
- Forecast revenue and expenditure by department, account, category and period when the data supports the selected granularity.
- Compare seasonal naive, Holt-Winters, SARIMA, XGBoost and neural approaches against consistent holdout periods.
- Aggregate department projections into organization-wide views with reconciled totals.
02Explain anomalies and simulate choices
A useful finance agent connects calculations to the operational context that produced them.
- Flag unexpected spending, revenue changes, missing periods and deviations from approved baselines.
- Let analysts adjust documented drivers such as staffing, inflation or program timing.
- Show base, optimistic and downside cases alongside assumptions and sensitivity.
03Public-sector proof of concept
Our municipal forecasting work is being explored through a proof-of-concept approach using synthetic records rather than representing municipal data as already deployed.
- Define input templates, budget versions, actuals, chart-of-accounts mapping and reporting calendars.
- Benchmark methods and record known data limitations before selecting a model.
- Expose approved services through APIs and a finance dashboard with review and export controls.
Who it supports
Designed around the people doing the work.
CFOs, FP&A leaders, municipal finance departments, budget owners and CIOs.
- Develop departmental and consolidated forecasts using models appropriate to the data.
- Compare statistical and machine learning approaches using validation metrics.
- Flag unexpected spending or revenue patterns for investigation.
- Compare actuals, budgets and forecasts to investigate variance drivers.
- Test policy choices and what-if scenarios with documented assumptions.
- Let analysts review, override, document and approve planning assumptions.
Workflow
From authorized inputs to reviewed actions.
- 01
Prepare finance data
- 02
Compare models and investigate changes
- 03
Explore documented scenarios
- 04
Review and approve planning assumptions
Trust & human oversight
Clear boundaries. Accountable use.
Forecasts support human planning decisions. Analysts review assumptions, data quality, uncertainty and exceptions; model outputs do not guarantee financial results.
Evidence & maturity
Proof of concept
A Canadian municipal-context proof of concept uses synthetic finance data where production data is unavailable. Evaluation is in progress; synthetic-data results are not measured municipal outcomes.
Domain context
Built for the realities of your industry.
Public Sector
Public organizations need transparent analysis, careful stewardship of data and workflows that respect policy and accountability. We explore AI support around those requirements.
Explore industryFinancial & Enterprise Operations
Finance teams need reliable forecasting, explanation of changes and access to operational context—not more disconnected dashboards.
Explore industry