Enterprise AI Consulting & Product Engineering
10+ Years AI Expertise
Immediate AI Engineers
Global Delivery (USA • Singapore • India)
LLM & AI Agent Engineering
Enterprise AI strategy, use-case discovery, and transformation roadmap development.
Custom AI product engineering, model training, and intelligent application development.
Build GenAI applications with LLM integration, prompt engineering, and AI copilots.
Enterprise-wide automation and AI-driven business process transformation.
Deploy dedicated AI engineers and ML specialists for product development.
Design scalable AI infrastructure with MLOps, model monitoring, and data pipelines.
AI Engineering
SAP EWM Consulting
AI Agents Automation
Enterprise RAG AI
AI Agents Automation
Deploy autonomous AI agents and copilots
Enterprise
RAG AI
Build intelligent knowledge platforms
SAP EWM
Consulting
Transform warehouse operations
Enterprise AI product engineering expertise
Experience with LLMs, AI agents, and automation
Global delivery capability
Rapid deployment of certified AI engineers
AI platform engineering with MLOps
You can deploy vetted AI engineers in as little as 48 hours. Our pre-screened pool of 500+ AI specialists includes experts in LLMs, GenAI, RAG systems, and ML engineering. We handle all vetting, onboarding, and management so you can start building immediately.
We provide AI engineers specializing in Large Language Models (LLM), Generative AI, Retrieval-Augmented Generation (RAG), AI agents and automation, machine learning engineering, AI product development, prompt engineering, and enterprise AI architecture. All engineers have 5+ years of experience with production AI systems.
AI engineering rates range from $40-$80/hour depending on expertise level and engagement type. We offer flexible models including staff augmentation, dedicated teams, and project-based pricing. All engagements include project management, quality assurance, and technical oversight at no additional cost.
AI consulting involves strategic guidance, architecture design, and proof-of-concept development led by senior AI architects. AI staff augmentation provides dedicated AI engineers who integrate directly into your team for hands-on development. Many clients start with consulting to define their AI strategy, then transition to staff augmentation for implementation.
Yes, we provide end-to-end AI product development including requirements analysis, architecture design, AI model development, integration with existing systems, deployment, and ongoing optimization. We've built production AI systems for Fortune 500 companies across healthcare, finance, and technology sectors.
Our AI engineers are experts in OpenAI GPT-4, Claude, Gemini, LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, Qdrant), Python, TensorFlow, PyTorch, Hugging Face, AWS SageMaker, Azure OpenAI, and Google Vertex AI. We stay current with the latest AI advancements and best practices.
All AI engineers undergo rigorous technical vetting including live coding assessments, architecture reviews, and reference checks. We implement enterprise-grade security protocols including SOC 2 compliance, data encryption, secure API management, and adherence to AI governance frameworks. Every project includes code reviews, testing, and documentation.
Yes, we support both short-term (3-6 months) and long-term (1+ years) AI engineering engagements. Many clients maintain dedicated AI teams with us for ongoing product development, model optimization, and feature expansion. We offer flexible month-to-month contracts with no long-term commitments required.
We serve enterprise clients across healthcare, financial services, insurance, e-commerce, SaaS, manufacturing, logistics, and professional services. Our AI solutions address industry-specific challenges including regulatory compliance, data privacy, scalability, and integration with legacy systems.
Every AI engagement includes a dedicated project manager and technical lead who provide daily standups, weekly progress reports, and transparent communication via Slack, Microsoft Teams, or your preferred platform. We use Agile methodologies with 2-week sprints and maintain full visibility into development progress, blockers, and deliverables.
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