Data Strategy & Architecture
Design modern data foundations with governance, observability, and cost-aware architectures.
- Data audits, lineage, and quality baselines
- Event-driven and batch pipelines
- Security and compliance baked in
AI STRATEGY | ENGINEERING | DEPLOYMENT
Build, deploy, and scale reliable AI systems with confidence.
Quantitative AI partners with forward-looking teams to design data foundations, build trustworthy models, and deliver production-grade AI that moves core business metrics.
Model Risk & Governance
Applied ML Engineering
Data Platforms
Engagement Snapshot
AI Modernization Program
Time-to-value
90 days
From discovery to first production release.
Lift achieved
+18%
Reduction in operating cost through automation.
Reliability
99.9%
Uptime across model serving endpoints.
CAPABILITIES
Full-stack AI solutions built for business outcomes.
From data readiness assessments to post-launch monitoring, we deliver measurable impact with a blend of research-grade modeling and production-grade engineering.
Model Design & Validation
Craft domain-specific models with rigorous evaluation frameworks and human-in-the-loop review.
- Experimentation at scale
- Bias, fairness, and robustness checks
- Scenario-based stress testing
Production ML Engineering
Ship reliable ML services with CI/CD, feature stores, and real-time monitoring.
- Feature pipelines and embeddings
- Containerized deployment and autoscaling
- Observability, tracing, and drift alerts
Applied Generative AI
Deliver safe, controllable generative systems tuned for internal and customer-facing experiences.
- Retrieval-augmented generation
- Guardrails and red-teaming
- Prompt, tool, and agent design
IMPACT
Results we deliver.
Transformation programs designed to align AI with revenue, cost, and risk.
6-12x
Average ROI across automation initiatives.
70%
Reduction in manual review time through intelligent routing.
45%
Increase in decision accuracy with augmented analytics.
<10ms
P99 latency for critical inference paths.
HOW WE WORK
A proven, collaborative engagement model.
01
Discover & Prioritize
Jointly identify the highest-value opportunities, risks, and data realities.
02
Prototype & Validate
Test promising approaches quickly with measurable success criteria.
03
Ship & Scale
Productionize with observability, governance, and training for your teams.
LET'S TALK
Ready to make AI a revenue driver?
Schedule a strategy session to map your AI roadmap.