Engineering AI systems that drive measurable ROI.
Cortex builds high-throughput AI architectures for enterprise. We transform complex data into production-ready intelligence, ensuring every model deployment delivers clear, verifiable business value.
Verifiable technical outcomes
We deliver measurable performance gains for enterprise AI. Our systems are built for high throughput, low latency, and strict cost control.
Inference Speedup
Latency reduction in production AI pipelines
OpEx Reduction
Cloud compute cost savings via quantization
Model Accuracy
Precision benchmarks on enterprise datasets
Models Deployed
Production-grade LLMs scaled for enterprise
Enterprise AI engineering
We build production-grade AI systems that solve real business problems with measurable technical precision.
- RAG pipeline development
- Model fine-tuning cycles
- Prompt engineering suites
- Time-series forecasting
- Anomaly detection systems
- Feature engineering pipelines
- ETL pipeline automation
- Cloud-native data lakes
- Latency-optimized storage
- Tool-use agent frameworks
- Multi-agent orchestration
- Human-in-the-loop design
Ready to deploy AI at scale?
Book a technical consultation to discuss your architecture and implementation roadmap.
Engineered for scale, precision, and sovereignty
We build battle-tested machine learning pipelines using proven compute layers, optimized retrieval engines, and fine-tuned foundational models.
High-throughput inference engines and resilient agentic workflows for complex enterprise tasks.
- Sub-20ms latency with optimized vLLM
- Agentic routing via LangGraph logic
- Distributed scheduling with Ray clusters
GPU-accelerated compute fabric designed for massive training runs and production inference.
- Bare-metal H100 clusters on CoreWeave
- Private VPCs across AWS and GCP
- Auto-scaling via Kubernetes and Slurm
High-dimensional indexing paired with hybrid search for precise, hallucination-free RAG.
- Reciprocal rank fusion for relevance
- Billion-scale indexing sub-50ms
- Row-level security and isolation
Frontier LLMs combined with domain-adapted weights for optimal cost and performance.
- Bespoke LoRA and QLoRA fine-tuning
- Dynamic fallback across providers
- On-premise sovereign deployment
Need an architectural review?
Our senior engineers conduct deep stack assessments and build benchmark-backed roadmaps.
Precision AI Solutions. Proven Results.
See how CORTEX applies rigorous systems engineering to solve complex enterprise challenges and drive measurable technical performance.
Manual scaling led to 35% idle compute waste and inconsistent latency during peak traffic.
Built a predictive auto-scaling engine using reinforcement learning to optimize cluster density.
Legacy rule-based systems failed to catch sophisticated synthetic identity fraud patterns.
Deployed a low-latency graph neural network for real-time transaction risk scoring.
Researchers spent 60% of time manually parsing unstructured clinical trial documentation.
Implemented a custom LLM pipeline for automated data extraction and knowledge mapping.
Ready to engineer your AI transformation?
Connect with our senior architects for a technical diagnostic.
Book a 30-minute AI architecture review
Assess your model performance, infrastructure costs, and scaling strategy with a lead AI architect.
Inference latency audit
Pinpoint pipeline bottlenecks and token cost leaks.
Compute scaling roadmap
Clear projections for multi-cloud and on-prem hardware.
Security & compliance review
Rigorous assessment of data privacy and model isolation.
Engagement Format
Live technical teardown via video call. Bring your current system diagrams or workload requirements.
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