QantumIQ partners with the world's most ambitious organizations to harness the convergence of AI, quantum computing, and human ingenuity — delivering transformational competitive advantage.
Amazon Web Services
Amazon Web Services
Enterprise AI strategy, predictive analytics, generative AI, computer vision, and full-stack MLOps.
Quantum readiness assessments, post-quantum cryptography migration, and algorithm design.
Cloud architecture, legacy modernization, data platform engineering, and API-first strategy.
Board-level strategic guidance, technology due diligence, and transformation roadmaps.
Process mining, intelligent automation, and operational excellence at enterprise scale.
Organizational design, change management, M&A integration, and performance improvement.
AI risk models, fraud detection, PQC migration, and digital banking transformation.
Clinical AI, interoperability, value-based care analytics, and patient experience platforms.
AI-driven drug discovery, cell & gene therapy, CRISPR, bioprocessing, and regulatory technology.
Product-led growth, platform strategy, cloud architecture, and AI integration.
Grid optimization, predictive maintenance, and clean energy transition strategy.
Mission-critical modernization, national security AI, and public service transformation.
ESG data strategy, AI-powered smart water networks, carbon intelligence, and sustainable supply chains.
Streaming strategy, AI content ops, audience intelligence, and AdTech modernization.
5G monetization, AI network ops, cloud-native core, fiber strategy, and quantum-safe security.
Cryptographically relevant quantum computers will break RSA and ECC encryption within the next decade. Organizations that begin their post-quantum cryptography migration today will be the ones that emerge secure and competitive. Those that wait will face emergency remediation at enormous cost.
QantumIQ's Quantum Readiness Program provides a structured 90-day path from cryptographic inventory to PQC implementation — using NIST-approved standards for a seamless, low-risk transition.
Quantum Readiness Assessment →Three-quarters of enterprise AI projects fail to reach production. QantumIQ's AI at Scale methodology bridges the gap between proof-of-concept and enterprise deployment — with rigorous MLOps, governance frameworks, and change management baked in from day one.
We have implemented 140+ AI systems now running in production across financial services, healthcare, pharma, and energy — processing over 2 billion transactions daily and generating measurable ROI within six months.
Explore AI Solutions →Tier-1 North American bank needed to modernize its fraud detection infrastructure, replacing aging rules-based systems with ML-powered real-time decisioning at enterprise scale.
The bank's legacy fraud system generated false positive rates exceeding 34%, costing over $80M annually in manual review and customer friction. Fraudsters were adapting faster than static rule updates could respond.
QantumIQ deployed a three-phase AI at Scale engagement: a 30-day discovery and data audit, followed by a 60-day ML model development sprint using gradient boosting and transformer-based sequence models, culminating in a 90-day hardened production deployment with full MLOps infrastructure.
The platform now processes over 2 billion transactions daily with sub-40ms latency, achieving 87% fraud detection accuracy — a 31-point improvement — while reducing false positives by 62%.
A leading global streaming platform with 180M subscribers across 35 countries faced accelerating churn driven by content discovery fatigue and commoditized content libraries.
With 45% of cancellations citing "nothing to watch," the client needed a personalization engine capable of real-time content discovery across 180M diverse profiles, localized across 35 markets.
QantumIQ built a multi-armed bandit recommendation system layered on a deep collaborative filtering model, with a content embedding pipeline ingesting metadata, viewing behavior, and contextual signals. Deployed via microservices on Google Cloud.
Churn fell 40% within 90 days of full rollout, retaining $95M in annual recurring revenue. Average session length increased 23%. The recommendation engine now serves 1.4 billion API calls per day with 99.7% uptime.
A top-5 global pharmaceutical company sought to compress its CMC timeline across six manufacturing facilities through AI-driven process optimization.
CMC development delays were adding 18–24 months to drug development timelines, costing $310M+ per year in delayed revenue and regulatory overhead.
QantumIQ deployed an AI platform combining process analytical technology (PAT) sensor integration, Bayesian optimization for formulation development, and a digital twin model of each manufacturing facility. The system ingests real-time batch data to predict deviations before they occur.
Development timelines compressed by 40% across all six facilities. Batch compliance reached 99.2%, up from 87.4%. The platform identified three previously unknown process optimization windows.
Wherever your transformation takes place — our teams are on the ground, delivering local expertise with global intelligence.
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Practical insights on AI, quantum computing, and digital transformation — written by our practitioners, not our marketing team.
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Join 500+ organizations that trust QantumIQ to navigate the most consequential technology transitions of our time.