Enterprise AI Integration Services That Deliver Measurable ROI
We design, build, deploy, and optimize production-grade LLM applications, custom AI automation, and MLOps infrastructure for enterprises that demand reliability, scalability, and measurable business impact.
Engineering Metrics
Real-time system performance
Deployment Speed
14-21 days
System Uptime
99.9%
Performance Gain
+340%
Our Service Categories
Comprehensive AI engineering solutions tailored to your business needs
LLM Integration & Deployment
Integrate advanced LLMs into your existing systems with production-grade performance.
- API + tools integration
- Model serving + routing
- Context strategy / RAG
- Performance tuning
- Cost optimization
MLOps & AI Infrastructure
End-to-end pipelines, observability, monitoring, and CI/CD for machine learning systems.
- Training/serving pipelines
- GPU/CPU deployment
- Monitoring & evaluation
- Automated retraining
- Infra hardening
Custom AI Agent Development
Build reliable agents that automate business workflows with tool-use, reasoning, and memory.
- Multi-tool agents
- Domain-specific workflows
- Safety + guardrails
- Observability
- Latency/cost controls
Data Engineering & RAG Systems
Transform business data into optimized retrieval pipelines that power high-accuracy AI systems.
- Indexing + retrieval
- Vector stores
- ETL pipelines
- Knowledge graph options
- Hybrid retrieval design
How We Work With You
A streamlined process from discovery to deployment
Scope
Define requirements and validate use cases
Architecture
Design system architecture and data flow
Prototype
Build and test proof of concept
Build
Develop production-ready solution
Deploy
Deploy to production with monitoring
Support
Ongoing optimization and maintenance
Scope
Define requirements and validate use cases
Architecture
Design system architecture and data flow
Prototype
Build and test proof of concept
Build
Develop production-ready solution
Deploy
Deploy to production with monitoring
Support
Ongoing optimization and maintenance
Case Studies
Real results from production deployments
Challenge
Time-consuming medical research and documentation
What We Built
Built secure RAG system with HIPAA-compliant LLM deployment
Outcome
Reduced research time by 50% while maintaining compliance
Challenge
Manual claims processing causing delays
What We Built
Automated claims processing with LLM-powered workflows
Outcome
Automated 85% of claims, reducing processing time from days to minutes
Challenge
Low conversion rates and high customer service costs
What We Built
AI-powered chatbots and personalized recommendations
Outcome
Reduced customer service costs by 60%, increased conversion by 40%
Frequently Asked Questions
Common questions about our AI engineering services
Pricing varies based on complexity, scale, and requirements. A typical LLM integration project ranges from $50K-$200K for enterprise deployments. We provide detailed quotes after understanding your specific needs. Contact us for a free consultation and custom estimate.
Ready to Build with AI?
Let's discuss how our AI engineering services can transform your business operations and drive measurable results.