As a startup, managing burn rate is critical. LLMs significantly reduce staffing requirements, with free Deep Research essentially adding multiple PhDs to our team without the associated costs. The citations provided with Perplexity's responses dramatically increase our confidence level when making strategic decisions. Having verifiable sources means we can quickly validate information rather than spending valuable time on secondary research, allowing us to move faster while maintaining due diligence standards that investors appreciate.
Transformative Tech & Innovation Executive |Growth through Strategic Leadership, AI, and Data-Driven Solutions | Pioneering SaaS & Supply Chain Optimization
Perplexity AI now has a FREE Deep Research model! A great alternative to OpenAI’s Deep Research at $200 per month. Perplexity has always been part of my LLM arsenal because of its superb search capability and inclusion of relevant citations with its responses. Now I also use it for more complex tasks for which I previously relied on ChatGPT-o1. To access in Perplexity, simply type or voice your prompt, then select the Deep Research option before submitting your query. Here are a few examples: Enterprise AI Use Cases 1. Supply Chain Risk Mitigation – Caterpillar Example: Deployed AI-powered IoT systems to monitor 23,000+ global suppliers, reducing inventory costs by $17M through predictive disruption modeling. 2. M&A Due Diligence – Blackstone Example: Automated analysis of legal/financial documents using DocAI, shortening due diligence cycles by 40% through dark web monitoring and workforce competency profiling. 3. Regulatory Compliance – JPMorgan Chase Example: Developed AI-driven LLM Suite for real-time tracking of global regulations, improving audit accuracy in trade surveillance systems. 4. Financial Reporting Automation – Genpact Example: Reduced financial reporting errors by 73% using AI to analyze transactional data across 200+ legacy systems. 5. Contract Analysis Optimization – Infosys Example: Saved $28M annually by automating analysis of 500,000+ vendor contracts using NLP-powered clause extraction. ?? Follow me to Filter AI Facts from Fluff