Build an AI-Ready, Trusted Data Foundation for your Enterprise
Connect every data silo, control your business definitions, and consume trusted data in any application — without the cost and complexity of data warehouses and integration.
Deadwood helps you seamlessly integrate and engage with data
Our data platform delivers governed insights and AI readiness on any cloud, at unparalleled scale.
Deadwood Platform
The Universal Optimization Layer
Deliver governed, AI-optimized access to data that scales with your enterprise—eliminating the trade-offs between flexibility, control, and speed.
Data Clarity and Connection
Eliminates data chaos, ensures data integrity.
Scalable, Secure, Cost-Effective
Proven scalability, robust security, lower Total Cost of Ownership.
Accelerate AI-Ready Models
Enhances data with semantic context, streamlines model creation.
Deadwood Analytics
The AI-Powered Enterprise Analytics Platform
The AI+BI platform trusted to deliver intelligence everywhere, on any cloud, at enterprise scale.
AI-Powered Insights and Flexibility
Leverages AI integration for quick insights, customized dashboards, and enterprise innovation.
Enterprise-Grade Analytics for All
Democratizes data with powerful BI tools, cloud-native architecture.
Unified Data and Performance
Streamlines data access from various sources, enhances agility and decision-making.
Don't let your data foundation limit your enterprise intelligence
Empower your organization to deliver consistent information across departments. Accelerate innovative data projects, cut costly integrations, and lower warehousing expenses. Experience seamless information flow for a smarter, more efficient enterprise.
Reduce data warehouse and integration cost
Enforce business definitions and security
Create an AI-ready data foundation
Accelerate data product delivery
Ensure vendor freedom
Reduce data warehouse and integration cost
Leverage existing data infrastructure to lower cloud query expenses and Total Cost of Ownership.
Enterprise Data Foundation
Use Cases
Quantum-inspired optimization for the most challenging problems in food supply chains.
Demand Forecasting Under Uncertainty
Problem
Highly volatile demand, weather sensitivity, event-driven spikes, spoilage constraints. Classical forecasts break when uncertainty compounds.
Quantum-Inspired Approach
Probabilistic demand states, scenario superposition, constraint satisfaction across inventory, labor, and shelf life.
Output
Optimal order quantities per SKU, confidence intervals, waste-minimizing recommendations.
Value
Lower spoilage, fewer stockouts, better labor alignment.
Inventory Optimization with Spoilage Constraints
Problem
Perishable, multi-tiered, time-decaying inventory. Classical solvers struggle with large constraint graphs.
Quantum-Inspired Approach
Encode inventory as constrained optimization, solve using hybrid quantum/classical solvers. Optimize across time, temperature, shelf life, transport delays.
Output
When to reorder, when to discount, when to divert inventory.
Value
Measurable waste reduction, higher gross margins.
Supplier Selection & Risk Modeling
Problem
Suppliers fail due to weather, labor, transport, financial stress. Most systems treat suppliers as static.
Quantum-Inspired Approach
Probabilistic supplier reliability modeling, correlated risk analysis, multi-objective optimization: cost, reliability, distance, sustainability.
Output
Ranked supplier portfolios, dynamic reallocation under stress, early warning signals.
Value
Fewer disruptions, faster recovery, smarter sourcing.
Logistics & Routing Optimization
Problem
Temperature constraints, time windows, fuel volatility, multi-stop routing. This becomes NP-hard very fast.
Quantum-Inspired Approach
Quantum annealing–style routing optimization, evaluate millions of route permutations. Optimize jointly for cost, time, spoilage risk, energy use.
Output
Optimal delivery routes, real-time rerouting suggestions, cost vs freshness tradeoffs.
Value
Lower logistics costs, better food quality, lower emissions.
Pricing & Menu Optimization
Problem
Menu pricing affects demand, waste, prep scheduling, supplier drawdown. Most menus are static.
Quantum-Inspired Approach
Multi-variable pricing optimization, demand elasticity under uncertainty, cross-item interactions (combo effects).
Output
Dynamic menu pricing ranges, promotion timing, portion sizing guidance.
Value
Higher margins, lower waste, better customer satisfaction.
Water, Energy, and Sustainability Optimization
Problem
Food supply chains are resource-intensive: water use, energy use, refrigeration losses.
Quantum-Inspired Approach
Resource allocation optimization across facilities. Trade-offs between cost, sustainability, reliability.
Output
When to run cold storage, when to process vs store, resource usage forecasts.
Value
Lower operating costs, ESG compliance, regulatory resilience.
Request a Demo
See how quantum-inspired optimization can transform your food supply chain operations.