Expertise 01
Forecasting and probabilistic modeling
Model design, hierarchy reconciliation, uncertainty calibration, evaluation, and production forecasting systems.
Forecasting & Optimization Services
Expert help for problems that do not fit a template.
RabbitHawk combines forecasting science, operations research, applied AI, and production engineering. We diagnose existing systems, develop bespoke models, validate difficult claims, and turn mathematically defined decision problems into working tools.
Discuss a services engagementSpecialist expertise
Forecasting, optimization, and the system around them
Some problems need a product. Others need an independent diagnosis, a new mathematical model, or a specialist team able to work across research and implementation. Services can stand alone or prepare a path into either RabbitHawk software product.
Expertise 02
New-product and sparse-history forecasting
Time-safe analogues, product intelligence, global models, cold-start priors, and early-sales updating.
Expertise 03
Mathematical optimization
Decision models for inventory, workforce, allocation, logistics, pricing, production, capacity, and bespoke constraints.
Expertise 04
Connected forecasting and optimization
Architectures in which forecast uncertainty flows into decisions, and outcomes inform the next model or policy.
Expertise 05
FVA and process diagnostics
Forecast-version reconstruction, probabilistic FVA, bias analysis, workflow diagnosis, and intervention governance.
Expertise 06
Model validation and independent review
Leakage, backtesting, calibration, stability, decision-value, and implementation-parity reviews.
Expertise 07
Bespoke applied R&D
Research-led prototypes for decision problems that do not fit an existing software pattern.
Expertise 08
Production implementation
Data contracts, model services, optimization pipelines, interfaces, monitoring, governance, and handover.
How we work
Start with the decision, not a predetermined technology
We establish what action must improve, what information is available at the time, how uncertainty matters, and what outcome can be evaluated. That keeps a quick prototype distinct from a validated production model.
- 01
Define the decision
Clarify the action, horizon, uncertainty, constraints, incentives, and value at stake.
- 02
Establish the evidence
Audit data, forecast versions, current models, operating workflows, and evaluation design.
- 03
Build and validate
Develop the smallest defensible model or prototype and test it against credible baselines.
- 04
Operationalize
Integrate the model into a governed workflow with monitoring, ownership, and a path to improvement.
Across industries
Wherever uncertainty and constraints shape a decision
These are examples of mathematically defined problems, not claims of prebuilt industry suites. We adapt the method, data contract, constraints, and governance to the decision at hand.
Retail and e-commerce
Demand, traffic, product launches, returns, and promotion response.
Finance
Revenue, cash flow, exposure, loss, and operating drivers.
Logistics and supply chain
Volume, arrivals, lead times, network flow, and disruption risk.
Agriculture and agtech
Yield, demand, weather-sensitive output, quality, and timing.
Energy and utilities
Load, renewable generation, prices, outages, and flexibility.
Manufacturing and industrial operations
Demand, consumption, failures, throughput, and lead times.
Independent review
Already have models and software?
We can audit forecast accuracy, bias, probabilistic calibration, leakage, hierarchy coherence, decision value, stability, and implementation parity without requiring a RabbitHawk software deployment.
Bring us the hard decision problem
Tell us what must be forecast, optimized, validated, or built. We’ll help define a defensible path from evidence to production.
Discuss a services engagement