Generative AI & Agentic Workflows
Multi-agent systems that reason, plan, and act across enterprise processes — from autonomous research to orchestrated decisioning, deployed with human-in-the-loop governance.
Decision Intelligence for the Enterprise
Engineering Enterprise Value Through Autonomous Intelligence & Decision Science
Pragniv AI designs and operationalizes generative AI, data engineering, and predictive systems that enterprise leaders trust to run at scale. We turn fragmented enterprise data into governed, autonomous decisions.
Core Capabilities
A full-stack intelligence layer for the modern enterprise
From foundational data infrastructure to autonomous agentic workflows — engineered, governed, and production-ready.
Enterprise Data Foundation
Modern lakehouse and streaming architectures that unify fragmented systems into a single, governed source of decision-grade data.
Advanced Analytics & Decision Sciences
Predictive and prescriptive models tuned to enterprise KPIs — from demand sensing to network optimization at scale.
MLOps, LLMOps & AI Governance
Production-grade model lifecycle management with continuous monitoring, drift detection, and enterprise-grade compliance controls.
Proprietary IP
Industry accelerators built to compress time-to-value
Pre-built, configurable AI accelerators that cut implementation time by up to 40% across industry-specific use cases.
Sense™
Pragniv Sense™
Real-time signal detection across demand, risk, and operations — surfacing anomalies before they become enterprise-wide issues.
Flow™
Pragniv Flow™
Agentic workflow orchestration engine that automates cross-functional decisioning with built-in audit trails.
Core™
Pragniv Core™
The unified data and model backbone connecting legacy systems to modern AI infrastructure — securely and at scale.
Retail & CPG
Hyper-personalized demand sensing and dynamic pricing engines that react to market shifts in real time, powered by Pragniv Sense™.
- Demand forecasting at SKU-store granularity
- Dynamic pricing & promotion optimization
- Generative merchandising insights
+18%
Inventory optimization improvement
Financial Services
Risk and compliance intelligence built on governed AI, enabling faster underwriting and fraud detection at institutional scale.
- Real-time fraud & anomaly detection
- Automated credit risk scoring
- Regulatory-grade model explainability
3.6x
Faster fraud investigation cycles
Supply Chain
End-to-end network visibility with autonomous replanning agents that respond to disruption before it reaches customers.
- Network & logistics optimization
- Autonomous exception resolution
- Supplier risk intelligence
-22%
Reduction in delivery-time variance
Healthcare
Clinical and operational intelligence with privacy-first architectures, built to meet the highest governance and compliance bar.
- Patient risk stratification
- Care pathway optimization
- HIPAA-aligned data governance
99.4%
Model reliability in production
Impact Stories
Outcomes our clients measure in production, not presentations
Veloris Retail
Challenge
Fragmented regional inventory systems drove chronic overstock and stockouts across 1,200+ stores.
Solution
Deployed Pragniv Sense™ for real-time demand sensing integrated with an autonomous replenishment agent.
+18% Inventory OptimizationValoris Bancorp
Challenge
Manual fraud review pipeline created multi-day investigation backlogs during peak transaction volume.
Solution
Implemented an agentic fraud triage workflow with governed model explainability on Pragniv Flow™.
3.6x Faster InvestigationsCuragenix Health
Challenge
Siloed patient data limited early identification of high-risk readmission cases.
Solution
Built a privacy-first risk stratification model on Pragniv Core™ with continuous governance monitoring.
99.4% Model ReliabilityThought Leadership
Perspectives on enterprise AI, from the field
Building Trust into Autonomous Decisioning at Scale
Why governance frameworks — not model accuracy alone — determine whether AI systems survive enterprise scrutiny.
Read ArticleThe Architecture Patterns Behind Reliable Agentic Workflows
A practitioner's view on orchestration, memory, and failure recovery in production multi-agent deployments.
Read ArticleFrom Data Swamp to Decision-Ready: A Lakehouse Playbook
The migration patterns enterprises use to unify legacy data estates without disrupting the business.
Read Article