Company profile
Meta operates Facebook, Instagram, WhatsApp and Messenger, monetized mainly through advertising, and builds Quest mixed reality headsets, Ray-Ban Meta smart glasses and Meta AI. Businesses buy ads, use WhatsApp Business messaging for customer engagement, and deploy Quest for training and collaboration. Its scale of audience reach is unmatched.
- Ownership
- Publicly listed · NASDAQ: META
- Employees
- 50,000+
Industries served
Key offerings
Meta Ads (Facebook and Instagram)WhatsApp Business PlatformMeta QuestRay-Ban Meta smart glassesMeta AI
Typical use cases
- →Targeted performance advertising campaigns
- →Customer service and commerce via WhatsApp
- →Immersive VR training for frontline workers
Strengths
- +Unmatched global audience reach
- +Rich messaging channel via WhatsApp
- +Leading consumer VR and smart glasses hardware
Considerations
- −Data privacy and regulatory scrutiny
- −Enterprise VR adoption remains limited
- −Dependence on platform policy and algorithm changes
Typical Deloitte services
- Conversational commerce and messaging-based customer service
- Marketing and media performance strategy
- Immersive training and mixed reality pilots
Editorial profile based on public information.
Meta Llama
Covers: Llama
Llama is Meta's family of open-weight foundation models (e.g. Llama 3.x and Llama 4) that organizations can download, fine-tune and deploy on their own infrastructure or through cloud providers. Buyers are enterprises and developers wanting control over model hosting, data and customization. It is notable for its permissive community license and wide cloud availability.
- Ownership
- Subsidiary
- Parent company
- Meta Platforms, Inc.
Industries served
Key offerings
Llama 4Llama 3.x modelsLlama StackLlama APILlama Guard
Typical use cases
- →Self-hosted chatbot over sensitive internal data
- →Fine-tuned domain models for document processing
- →On-device or edge generative AI inference
Strengths
- +Open weights allow full control and on-prem hosting
- +Large developer ecosystem and tooling
- +Available across major cloud AI platforms
Considerations
- −Self-hosting requires significant ML engineering and GPUs
- −License has usage restrictions for very large platforms
- −Frontier performance can trail top proprietary models
Typical Deloitte services
- Open-model generative AI architecture and deployment
- Model fine-tuning and evaluation programs
- AI governance for self-hosted models
Editorial profile based on public information.