• 925-264-9444
  • info@genahi.com

Our Services

Strategic Consulting & Advisory

  • AI Readiness Assessment – Evaluate infrastructure, data maturity, talent, and workflows.
  • AI Strategy Development – Define phased roadmaps with governance and change planning.
  • Use Case Discovery & Prioritization – Identify and validate high-impact AI initiatives.

Custom AI Solution Development

  • Intelligent Document Processing – Extract, classify, and validate structured and unstructured data.
  • Conversational AI & Virtual Assistants – Deploy RAG-enabled systems for accurate responses.
  • AI-Powered Search & Knowledge Management – Implement semantic search across enterprise data.
  • Content Generation & Automation – Automate documentation, reporting, and operational content.

Agentic AI Solutions

  • Autonomous Workflow Agents – Execute multi-step processes with defined oversight.
  • Multi-Agent Systems – Coordinate specialized agents for structured tasks.
  • Agentic Process Automation – Automate workflows with exception handling.
  •  

AI Infrastructure & Platform Services

  • LLM Operations (LLMOps) – Deploy, monitor, and manage production AI systems.
  • Private AI Deployment – Implement secure on-prem or private cloud solutions.
  • AI Integration Layer – Connect AI systems with enterprise applications and APIs.
  •  

Data Services for AI

  • Data Pipeline Engineering – Build scalable ETL and streaming architectures.
  • Vector Database Implementation – Deploy optimized retrieval systems for RAG.
  • Synthetic Data Generation – Develop privacy-preserving datasets.

Model Development & Fine-Tuning

  • Custom Model Fine-Tuning – Adapt models for domain-specific use.
  • RAG Systems – Implement grounded architectures using verified knowledge.
  • Model Evaluation & Benchmarking Measure performance and reliability.

AI Governance & Compliance

  • Responsible AI Programs – Implement bias detection and transparency controls.
  • Regulatory Compliance Solutions – Align with EU AI Act and industry regulations.
  • AI Risk Management – Identify and mitigate operational risks.

Model Development & Fine-Tuning

  • Custom Model Fine-Tuning – Adapt models for domain-specific use.
  • RAG Systems – Implement grounded architectures using verified knowledge.
  • Model Evaluation & Benchmarking Measure performance and reliability.

Training & Enablement

  • Executive AI Literacy Programs – Support strategic oversight.
  • Technical Team Upskilling – Train teams in prompt engineering and agent frameworks.
  • Citizen Developer Enablement – Support low-code and no-code AI adoption.

Ongoing Support & Optimization

  • Managed AI Services – Monitor and optimize deployed AI systems.
  • AI Performance Analytics – Track business impact and cost efficiency.
  • Innovation Labs & Proofs-of-Concept – Rapid prototyping in controlled environments.

Strategic Consulting & Advisory

  • AI Readiness Assessment – Evaluate infrastructure, data maturity, talent, and workflows.
  • AI Strategy Development – Define phased roadmaps with governance and change planning.
  • Use Case Discovery & Prioritization – Identify and validate high-impact AI initiatives.

Custom AI Solution Development

  • Intelligent Document Processing – Extract, classify, and validate structured and unstructured data.
  • Conversational AI & Virtual Assistants – Deploy RAG-enabled systems for accurate responses.
  • AI-Powered Search & Knowledge Management – Implement semantic search across enterprise data.
  • Content Generation & Automation – Automate documentation, reporting, and operational content.

Agentic AI Solutions

  • Autonomous Workflow Agents – Execute multi-step processes with defined oversight.
  • Multi-Agent Systems – Coordinate specialized agents for structured tasks.
  • Agentic Process Automation – Automate workflows with exception handling.

AI Infrastructure & Platform Services

  • LLM Operations (LLMOps) – Deploy, monitor, and manage production AI systems.
  • Private AI Deployment – Implement secure on-prem or private cloud solutions.
  • AI Integration Layer – Connect AI systems with enterprise applications and APIs.

Data Services for AI

  • Data Pipeline Engineering – Build scalable ETL and streaming architectures.
  • Vector Database Implementation – Deploy optimized retrieval systems for RAG.
  • Synthetic Data Generation – Develop privacy-preserving datasets.

Model Development & Fine-Tuning

  • Custom Model Fine-Tuning – Adapt models for domain-specific use.
  • RAG Systems – Implement grounded architectures using verified knowledge.
  • Model Evaluation & Benchmarking Measure performance and reliability.

AI Governance & Compliance

  • Responsible AI Programs – Implement bias detection and transparency controls.
  • Regulatory Compliance Solutions – Align with EU AI Act and industry regulations.
  • AI Risk Management – Identify and mitigate operational risks.

Training & Enablement

  • Executive AI Literacy Programs – Support strategic oversight.
  • Technical Team Upskilling – Train teams in prompt engineering and agent frameworks.
  • Citizen Developer Enablement – Support low-code and no-code AI adoption.

Industry-Specific Solutions

  • Financial Services
  • Healthcare & Life Sciences
  • Legal & Professional Services
  • Retail & E-commerce
  • Manufacturing & Supply Chain

Ongoing Support & Optimization

  • Managed AI Services – Monitor and optimize deployed AI systems.
  • AI Performance Analytics – Track business impact and cost efficiency.
  • Innovation Labs & Proofs-of-Concept – Rapid prototyping in controlled environments.