Turn AI Pilots Into
Production Systems
Enterprise AI consulting that ships. Not decks.
From GenAI strategy to MLOps production in 90 days.
Your AI Projects Are Stalling
Stuck in Pilot Hell
6 months of POCs, zero production deployments. Your AI projects never make it past the demo stage.
Infrastructure Gaps
Your team knows models, not MLOps at scale. Missing the production infrastructure to ship AI.
Integration Chaos
Copilot, Azure OpenAI, custom models—nothing connects. Fragmented tools, no unified system.
We Ship AI Systems That Scale
GenAI Implementation
Azure OpenAI integration, RAG systems, Copilot deployment
- Production-ready RAG architecture
- Azure OpenAI integration
- Custom GenAI applications
- Security & governance framework
MLOps Infrastructure
Production pipelines, model monitoring, Databricks setup
- Automated ML pipelines
- Model monitoring & drift detection
- CI/CD for ML workflows
- Kubernetes orchestration
AI Assessment
2-week deep dive, technical roadmap, ROI analysis
- Current state analysis
- Technical architecture review
- 90-day implementation roadmap
- ROI projections & business case
Production AI. Not PowerPoint.
Production RAG system for marketing compliance with 100% audit traceability
Clinical documentation AI deployed across 12 hospitals
Document intelligence for contract analysis
Trusted by Industry Leaders
Real results from real implementations
"QueryNow's digital workplace transformation revolutionized how our global teams collaborate and share knowledge. The new platform has increased employee engagement by 65% and dramatically improved our internal communication effectiveness across all our international offices."
Powering Innovation at
Backed by the platforms you already use
From Assessment to Production in 90 Days
Assessment
Deep technical analysis of your current state, infrastructure gaps, and AI readiness.
- Infrastructure audit
- Technical debt assessment
- Security & compliance review
- ROI projections
Build
Develop production-ready AI systems with proper MLOps, monitoring, and integration.
- Production ML pipelines
- Model deployment
- Integration with existing systems
- Testing & validation
Scale
Deploy to production, train teams, establish governance, and optimize performance.
- Production deployment
- Team training & handoff
- Monitoring dashboards
- Optimization & tuning
Deep expertise in your stack
Learn from our implementations
Start with a 2-week AI assessment
- Deep technical analysis of your infrastructure and AI readiness
- 90-day implementation roadmap with detailed technical architecture
- ROI projections and business case for leadership approval
- Security, compliance, and governance framework