Sector-specific evaluation frameworks for SaaS, healthcare, fintech, manufacturing, and other industries.
Every industry has an age, and the phase it's in changes which metrics matter and what returns are realistic. Here's how to read the phase before you analyze the company.
Trade data shows the physical reality of supply chains, who ships what to whom, and it fills gaps that company disclosures tend to leave vague. Here is how to use it.
Federal procurement databases document who wins government work, down to the dollar. How to use USAspending.gov, FPDS, and SAM.gov for real industry analysis.
Students in AI-powered learning environments achieve 54% higher test scores. AI tools now auto-grade 48% of all multiple-choice assessments in U.S. public schools. Education is scaling without proportionally growing staff.
McKinsey reports that AI in supply chain operations cuts logistics costs by 5-20%. UPS's ORION system processes 30,000 route optimizations per minute. The savings are real, documented, and compounding.
AI property valuation models now achieve median error rates as low as 2.8%, and 63% of property companies report revenue increases with AI integration. The industry is being reshaped from valuation to tenant management.
Gartner estimates 40% of consulting tasks are automatable. Tools like McKinsey's Lilli can already handle roughly 80% of a junior analyst's typical research and slide work. The economics of consulting are shifting.
92% of legal professionals now use at least one AI tool daily. Contract AI usage among in-house teams has nearly quadrupled since 2024. The legal industry's relationship with technology is changing fast.
Companies using AI personalization earn 40% more revenue than those without it, and 87% of retailers report positive AI impact on revenue. The numbers are in, and they are not subtle.
Predictive maintenance alone delivers 10:1 to 30:1 ROI within 12-18 months. But the real story in manufacturing AI is how the technology is reshaping operations far beyond the factory floor.
Ninety percent of health systems now run AI in production, but 67% remain unprepared for stricter security standards. Healthcare AI lives at the intersection of enormous potential and enormous regulatory constraint.
Most companies do not actually know what is in their contracts. AI-powered analysis reads entire portfolios in hours, typically finding 10-25% in savings from missed renewals, unfavorable terms, and renegotiation opportunities.
When your vendors use AI, their risks become your risks. Third-party AI risk management requires new vendor assessment approaches.
Banks are moving AI from pilot programs to production systems, with 90% of financial institutions now using AI for fraud detection. The ones doing it well are pulling ahead in speed, loss rates, and customer experience.
Regulation gets treated as a negative in most company analysis. But regulation also creates moats that are almost impossible to replicate through market competition alone.
A marketplace without network effects is just an intermediary. Analyzing marketplace businesses requires frameworks built for two-sided dynamics, liquidity measurement, and non-linear economics.
Real cleantech leaves measurable traces, and greenwashing tends to fall apart under systematic scrutiny. The reliable approach is looking for consistency across multiple indicators.
Manufacturing operations generate an enormous amount of publicly accessible data. The regulatory and compliance requirements that govern physical production create a paper trail that most analysts never bother to follow.
You do not need to understand the mechanism of action of a drug to assess whether the company selling it is well-run. The business signals in healthcare are surprisingly accessible if you know where to look.
Industry benchmarks are only useful if you pick the right peers and the right metrics. Here is how to do both without fooling yourself.
Advertising spend is one of the clearest indicators of growth ambition. Between transparency tools and traffic platforms, you can build a detailed picture from the outside.
Recurring revenue forces SaaS businesses to earn their keep every month. That simple difference creates wildly divergent aging curves compared to traditional license-based software companies.
Professional services firms are unusual because their primary assets walk out the door every evening. But the right indicators can reveal business health with unusual clarity.
Fintech companies blend business models in ways that resist clean categorization. Trying to value the whole company using any single framework, whether bank or tech, will get you the wrong answer.
Competitive intelligence is research, not espionage. Here is where the legal line sits and why staying well inside it produces better analysis than crossing it.
Construction and real estate companies create an extensive trail of public records. Permit filings, lien databases, bonding capacity, and market data provide real-time intelligence about operational health.
The blending of physical and digital retail has created new analysis dimensions that traditional frameworks were not built to capture. A retailer closing stores might be getting healthier, not sicker.
Commercial buildings waste 20-35% of their energy through static schedules and fixed setpoints. AI-driven optimization produces $110,000-$190,000 in annual savings for a typical 200,000 sq ft office.
A comparative look at the AI platforms helping independent investors detect mispricings, analyze filings, and track sentiment across broadening equity markets.
Full AI adoption among insurers jumped from 8% to 34% in a single year. Claims resolution time has dropped from 30 days to 7.5 days. The insurance industry is automating its core operations faster than most people realize.
AI agents now monitor filings, sentiment, and earnings tone in real time. Here's how that changes equity research for everyone.
AI productivity gains are spreading beyond tech into industrials and manufacturing. Fintech tools are helping investors find the mispricings before the market catches up.
A clear-eyed look at how proactive, agentic AI systems compare to reactive chatbots for equity research, and why hybrid tech stacks are winning.
