Enterprise AI Advisory
Implementation at Scale
Production-grade machine learning systems with proven deployment at Fortune Global 50 scale.
Small Language Models
Domain-specific 7B–13B models for targeted enterprise applications.
Edge Inference
On-device AI for mobile, embedded, and IoT platforms.
Private Infrastructure
Air-gapped ML systems for regulated industries.
Services
01
Workflow Assessment
Analysis of operational processes. Technical feasibility, integration mapping, implementation roadmaps.
02
Model Development
Custom SLM development. Fine-tuning, quantization, optimization for domain-specific applications.
03
Infrastructure Design
On-premise ML systems. Local inference, private RAG, air-gapped deployment.
04
Systems Integration
ML pipeline integration. Legacy databases, ERP systems, heterogeneous environments.
Engagement Model
Assessment Technical audit of systems, infrastructure, constraints.
Prototype Proof-of-concept on client infrastructure.
Deployment Production implementation with engineering teams.
Transfer Documentation, training, ongoing advisory.
Principles
Data sovereignty Client-controlled infrastructure only.
Confidentiality NDA and compliance from day one.
Open architecture Auditable, no vendor lock-in.
On-premise first Air-gapped environments supported.