In defense, "down for maintenance" isn't an answer. Systems either work, every time, under any conditions, or bad things happen. We build systems that work when nothing else does.
Defense data lives in silos by design—classification levels, coalition boundaries, air-gapped networks. But mission success depends on securely getting the right data to the right people at the right time. We build data strategies where integration means knowing exactly what moves where and when. Cross-domain architectures. Secure data fusion. Tactical edge to strategic center.
Data Strategy & Integration and Data Mesh: Part I, DefenseSystems that maintain full capability when GPS is jammed, comms are down, power is scarce, and it's 140°F or -40°F. We build for disconnected operations: edge computing that works without reach-back, store-and-forward architectures, and graceful degradation when infrastructure fails. Our systems run on milliwatts when they need to and survive conditions designed to destroy them.
Operating at the Edge of PossibilityFirmware and software for platforms where latency is measured in microseconds and failure modes must be anticipated years in advance. We work across the full embedded stack: RTOS, bare-metal, safety-critical systems that meet DO-178C and MIL-STD requirements. Deterministic performance. Formally verified when the mission demands it.
Building Bulletproof Real-time SystemsData platforms for classified environments, air-gapped networks, and multi-level security requirements. Cross-domain solutions that move data between security levels without compromising either. Zero trust architectures that assume the network is hostile. Data protected at rest, in transit, and in use.
Secure Data Architectures for Defense ApplicationsSignal processing, cryptographic resilience, and early adoption strategies for threats that don't exist yet. We help organizations assess quantum risk, build migration roadmaps to post-quantum cryptography, and identify early applications where quantum provides tactical advantage. The transition takes years. We help you start now.
How Do We Trust Quantum Computers If We Can't Verify Their Impossibly-Hard-to-Compute Answers?Swarm coordination, unmanned platforms, and human-machine teaming. Edge AI that makes decisions without connectivity. Sensor fusion across multiple modalities. Integration with existing C2 systems. We build the intelligence layer that makes autonomous systems not just operational, but trusted.
Defense Focus: Kill Chain Engineering (1) Defense Focus: Kill Chain Engineering (2): Enter the Killer Robots Defense Focus: Kill Chain Engineering (3): Swarms and Swarming Technology Defense Focus: Kill Chain Engineering (4): Swarming Technologies and PlatformsIn insurance, every policy is a promise. Every claim is a test of that promise. Legacy systems, manual processes, and fragmented data make keeping that promise harder than it needs to be. We unify the data, streamline the processes, and bring intelligence to the systems—so insurers can keep that promise.
Decades of M&A, legacy systems, and siloed departments leave most insurers with data scattered across policy admin, claims, billing, CRM, and actuarial systems that don't talk to each other. We build the data strategy that prioritizes what matters and the integration architecture that makes it real. Master data management. Data quality frameworks. Data governance. A single source of truth for customer, policy, and claims data. The foundation everything else runs on.
How to Build a Data Strategy Part II: Insurance CompanyAI analyzes hundreds of risk factors, traditional and alternative data, for pricing that actually reflects risk. Eliminate adverse selection. Identify profitable micro-segments competitors misprice. Instant quotes instead of ~2-3 day turnarounds. Expand into complex risks others avoid because you can price them accurately.
AI Underwriting & Risk Assessment: From Days to SecondsAI processes routine claims in minutes, not days. Zero human touch for straightforward auto and property claims. 24/7 processing, same-day settlement on simple claims. Your adjusters focus on complex cases that need human judgment while the system handles volume.
Pattern analysis across millions of claims catches fraud that humans miss. Not just flagging obvious red flags, but identifying sophisticated schemes through network analysis and behavioral anomalies. Lower loss ratios. Aggressive pricing enabled by tighter controls. A reputation as too smart to defraud.
Coverage verification that catches gaps before they become E&O claims. Policy change documentation with court-admissible audit trails. Quote-to-bind validation that ensures bound policies match quoted terms exactly. Every transaction documented, every notification confirmed.
Predict which customers will leave and why, before they do. Chatbots handle routine inquiries so your people handle relationships. Proactive retention. Personalized coverage recommendations. Customers stay longer because you actually know them.
Real-time monitoring of client communications for incorrect advice or promises beyond authority. Automated compliant notifications. Defensible records for every interaction. Expand into complex advisory work without E&O fear.
In legal, time is the product. Every hour spent on document review, research, or administrative tasks is an hour not spent on strategy, advocacy, or client relationships. AI doesn't replace lawyers. It lets them practice law.
Law firms sit on decades of institutional knowledge trapped in document management systems, case databases, billing platforms, and partner emails that never connect. We build the data strategy that unlocks it and the integration architecture that makes it actionable. Unified matter data across practice groups. Knowledge management that surfaces relevant precedents automatically. Client intelligence that spans every engagement. The foundation that turns accumulated experience into competitive advantage.
How to Build a Data Strategy Part III: Law FirmAI reviews documents at ~1,000+ pages per hour with ~95%+ accuracy. Associates review ~50 pages per hour. Same precision, fraction of the cost. Your attorneys focus on what matters while the system handles volume. Fixed-fee discovery becomes profitable instead of a loss leader.
Extract key terms, flag risks, compare to standards in minutes. M&A due diligence that took associates ~200 hours takes ~2 hours with attorney review. Fixed-fee pricing on due diligence that competitors can't match. Same-day contract analysis. Handle ~3x the deal volume.
Case law, statutes, regulations searched in seconds with relevance ranking. Associates spending ~30% of billable time on research become ~50% more productive. Junior attorneys perform like mid-levels. Win clients who need BigLaw quality at rates they can afford.
Automated intake, scheduling, status updates, basic client questions. 24/7 client portal with instant case status. Proactive case management instead of reactive firefighting. Handle ~30% more clients with the same staff.
Generate initial independent and dependent claim sets from invention disclosures and prior art analysis. ~10 hours of drafting becomes ~3 hours of review. Improved claim consistency reduces office actions by ~25%. Quote lower prosecution budgets and still make margin.
Comprehensive prior art searches ranked by claim relevance. ~8 hours of searching becomes ~2 hours of reviewing AI-ranked results. Same-day patentability opinions. Better up-front analysis improves prosecution success by ~20%.
In manufacturing, the gap between what your systems know and what your people know is where margin dies. Data trapped in spreadsheets, PLCs that don't talk to your ERP, tribal knowledge that walks out the door at shift change. We connect the shop floor to the C-suite.
Manufacturing data and metrics live everywhere but connect nowhere. Production metrics in spreadsheets, quality data in standalone databases, maintenance logs in paper binders, PLCs that don't talk to your ERP, MES systems siloed from everything else. We build the data strategy that prioritizes what drives margin and the integration architecture that connects OT and IT. Real-time visibility from PLC to executive dashboard. A single source of truth for production, quality, and inventory. The foundation that turns data and metrics into decisions.
How to Build a Data Strategy Part II: ManufacturingAnalyze real-time sensor data from PLCs, SCADA, and vision systems to predict defects before they occur. Catch problems at the earliest production stage, not at final inspection. Reduce defect escape rates by ~60-80%. Cut warranty claims and rework costs. Improve yield from ~75-85% to ~88-95%.
Analyze production data, maintenance logs, quality records, and operator notes to identify root causes of defects and downtime. Reduce time to identify issues from ~2-3 weeks to ~2-3 days. Pattern analysis across thousands of NCRs to find systemic problems. Reduce recurring issues by ~40-60%.
Monitor equipment sensor data to predict failures ~2-4 weeks in advance. Reduce unplanned downtime by ~40-60%. Extend equipment life by ~15-25%. Use ML to identify optimal machine settings from historical data. Improve first-pass yield by ~8-15%.
Analyze real-time machine capacity, material availability, and order priorities to generate optimal schedules. Increase throughput by ~12-18% without capital investment. Improve on-time delivery from ~70-80% to ~88-95%. Reduce late delivery penalties.
BOM optimization that identifies standardization opportunities and flags obsolescence risks. Reduce unique part count by ~20-30%. Regulatory compliance checking against ISO, AS9100, FDA. Reduce compliance review time by ~75-85%. Catch ~95%+ of issues before external audit.
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