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We believe you don’t need to be technical. Just informed.
Inside: real-world use cases and Partner Perspectives you won’t find anywhere else:
• 1. 💬 Turn your customer feedback into actionable insights with Unwrap
• 2. 🌎 Claude reportedly used in Venezuela raid
• 3. 🏥 How AI flags patient risks at near 100% accuracy
• 4. 💻 Get rid of your personal data from Google with Incogni
• 5. 🧬 AI reveals Alzheimer's gene control networks
• 6. 📈 AI productivity surge hits the macro data
Looking to reach 400,000 professionals?
TOGETHER WITH UNWRAP
Unwrap’s customer intelligence platform brings all your customer feedback (surveys, reviews, support tickets, social comments, ect.) into a single view, then uses AI + NLP to surface the most actionable insights and deliver them straight to your inbox. Unwrap works with product, CX, support, operations and data teams to cut through thousands of pieces of feedback, ensure no customer voice gets lost, and get data-backed insights to inform their roadmaps. Trusted by Stripe, lululemon, WHOOP, Clay, Ro, DoorDash, Southwest Airlines and others If your team is still relying on time consuming manual processes (or even a mix of manual work and AI), there's a much better way to aggregate and analyze feedback. With Unwrap you get:
All customer feedback auto-categorized into a single view
Natural language queries to explore feedback instantly
Real-time alerts, custom reporting, and clear sentiment tracking
Book a time to chat with the team about automating customer insights.
Latest in AI
The US military used Anthropic's AI model Claude during its operation to kidnap Nicolás Maduro from Venezuela. Claude was accessed through Anthropic’s partnership with Palantir Technologies, a defense contractor with classified platform access. It would be the first known use of a private AI model in a classified Department of Defense operation.
Anthropic’s usage policies explicitly forbid Claude from being used for violence, weapons development, or surveillance. The company has not confirmed whether the model’s involvement violated or simply complied with these terms.
The Pentagon is pushing major AI labs to offer tools for all lawful military purposes, prompting debate about whether strict safety policies can withstand operational pressure.
This episode highlights a growing disconnect between AI safety commitments from developers and the practical demands of government and defense agencies, a key theme for enterprise and policy leaders watching AI adoption in high-stakes settings.
The reported use of Claude in a military operation creates tension between AI firms' stated ethics policies and real-world government applications. Enterprise leaders should note that even companies with strict acceptable-use terms may face pressure to allow military deployments.
Case Study
LiteraSeed, a healthcare startup, partnered with Virginia Tech to build AI that extracts critical data from records. Clinicians review flagged high-risk cases.
Pattern: AI-powered triage where models autonomously extract risk factors from patient records. Humans review flagged conditions before treatment decisions.
Why it matters: Communication failures cost U.S. healthcare $238 billion annually. AI-assisted extraction gives providers faster, more accurate patient context.
Metric: The system extracts 12+ critical risk factors with near 100% accuracy. These include past conditions and misinterpreted lab values.
Steal this: Identify one data-heavy intake workflow in your organization. Test AI extraction on 50 records with mandatory human review.
TOGETHER WITH INCOGNI
The BBC caught scam call center workers on hidden cameras as they laughed at the people they were tricking. One worker bragged about making $250k from victims.
The disturbing truth?
Scammers don’t pick phone numbers at random. They buy your data from brokers. Once your data is out there, it’s not just calls. It’s phishing, impersonation, and identity theft.
That’s why we recommend Incogni: They delete your info from the web, monitor and follow up automatically, and continue to erase data as new risks appear.
Try Incogni here and get 55% off your subscription with code AIREPORT
AI News Story
Scientists have long linked certain genes to Alzheimer's, but understanding which genes actually control others has remained elusive. Researchers at the University of California, Irvine have now built the most detailed causal maps of gene regulation in Alzheimer's-affected brains to date using a machine learning platform called SIGNET.
The team analyzed single-cell data from 272 brain samples and found that excitatory neurons show the most extensive genetic rewiring, with nearly 6,000 cause-and-effect interactions identified.
For pharma and biotech leaders, this research signals a shift from correlational studies to actionable targets. SIGNET's approach could accelerate drug discovery timelines across Alzheimer's, cancer, and autoimmune disorders, giving R&D teams a scalable method to identify intervention points in complex diseases.
AI News Story
Stanford economist Erik Brynjolfsson argues in the Financial Times that the U.S. is transitioning from the "AI investment phase" to the "AI harvest phase," with productivity growth expected to reach 2.7% in 2025, nearly double the 1.4% average of the past decade.
The latest data shows a decoupling of high output from labor input: the Bureau of Labor Statistics revised payroll employment down by 403,000 jobs while Q4 GDP remained strong at 3.7%, a classic productivity growth signal.
Brynjolfsson notes that entry-level hiring has dropped 16% in high-AI-exposure industries, while power users are compressing weeks of work into hours as companies move from AI experimentation to structural utility.
Trending AI Tools (sponsored by our tools database)
A curated look at the AI tools quietly transforming how teams work.
Chatnode is for building custom, advanced AI chatbots that enhance customer support and user engagement ⭐️⭐️⭐️⭐️⭐️ (Product Hunt)
SnapMeasureAI delivers 3D body measurements from images with 98.7% accuracy
Extrovert is an AI assistant for LinkedIn that warms up prospects with intelligent comment suggestions
Companies to Watch/Raising Now
Early-stage AI startups on our radar, before they’re everywhere.
• Qianjue Technology
What they do: Builds autonomous robot "brains" that handle perception, decision-making, and action without remote control or programming.
Why it matters: First to ship household robots that adapt to dynamic environments without scripted rules. Targets 100K+ connected devices by year-end.
Stage: Seed
Investors: Vertex Ventures (lead)
• OpenEvidence
What they do: AI chatbot trained on medical literature to help physicians make clinical decisions at the point of care.
Why it matters: 40% of U.S. doctors now use it. Ad-supported model lets small practices adopt without IT budgets.
Stage: Growth
Raising: $250M (led by Thrive Capital, DST)
Know a company we should be watching? Hit reply and let us know.
Refer a Friend
Until next time, Martin, Arturo, and Liam.
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