Cezary Szandecki’s Post

Commoditized intelligence is about to reboot the physical world. We're witnessing a hard reset across every stage of the business lifecycle…how we build physical products, market, sell, and understand consumer behavior. I believe this isn't just another wave of productivity improvement. Intelligence and computation are fundamentally reshaping the physical world. Transformation across four vectors: 1. Build. A hard reset of the entire stack. From idea to consumption. From AI-driven product formulations that would've taken years to discover to rapid prototyping. From self-optimizing manufacturing stacks to supply chains that think. Everything rebooted. 2. Marketing: More predictive, personalized, and optimized. 3. Operations: Business systems that adapt in real-time, turning operations into executable code. 4. Consumer Behavior: Intelligence layers that understand and influence purchase decisions from impulse to habit formation. I know founders using intelligence to completely rethink their verticals. From CPG formulations that adapt to individual biology to manufacturing systems that learn from every defect, to continuous hormone monitors building the new blood panel for personal healthcare. When you can apply intelligence to rethink the physical world, you reset everything. Building Particle Intelligence Sharing “how we think” on Substack. That's our “REST API”, a way to connect with others who are excited by this change. Over the next 18 months, we will accelerate the funding tranche. We aim to operationally support and open funding pathways for founders, from idea to profitability. We will build deep partnerships with founders & investors we want to work with long-term. Through Flux Foundry, we're matching exceptional operators with fundable blueprints, operational support, and funding pathways. If you're a founder building physical products at the intersection of atoms and algorithms, an investor seeking operator-led intelligence, or simply fascinated by the intelligence reboot of the physical products, let's connect. Atoms > Bits.

Beyond the technology industry, companies from diverse segments are seeing positive results of their investments in artificial intelligence and trying to leverage those benefits into stronger financial performance. https://lnkd.in/gn8EM4s6

I’m excited to share how Bullpen is raising the bar on reliability and accuracy for our customers. Investment professionals spend an estimated 60–70% of project time proofing and validating AI outputs, a much-needed effort given AI's inference nature, and we are dedicated to changing this. In our new post, we discuss Bullpen’s revamped diligence and validation system, which is designed to make AI-generated finance work products reliable and decision‑ready. https://lnkd.in/eUBBzUAC

Check out President of Leasing for North America Liz Hart's latest piece for Observer, where she dives into the dynamic role of artificial intelligence in commercial real estate, highlighting increased efficiency from automating routine lease abstraction and predicting tenant leasing demand. However, AI alone is not the answer. Why? Because it cannot replace the superpower of human creativity and innovation, as Hart explains. Read the full article now ➡️ http://nmrk.re/46NoMuu #Newmark #CRE #ArtificialIntelligence #CommercialRealEstate #ThoughtLeadership

The future of capital discovery is software-first. For decades, private markets have relied on networks, introductions, and luck. But today, access and allocation are being reshaped by software rather than spreadsheets/conferences. AI, data enrichment, and real-time intelligence are replacing the manual “who-you-know” layer with something faster, fairer, and vastly more scalable. In the next decade, the most valuable firms will be the ones that combine capital with the intelligence to discover where it belongs. That’s where the next edge will come from.

There’s a Dave Matthews Band song, “The Space Between.” That’s where Cornerstone AI operates: the space between data acquisition and data analysis. It’s less visible from the outside, but it shows up on every project timeline and it’s always longer than anyone wants. • Make it faster: months → weeks and weeks → days • Make it more robust: LOINC coverage 20–30% → 80–90% • Make it reliable & auditable: software + experts = defensible, traceable results I spoke with Danny Lieberman on Life Sciences Today about how we’re turning this “space between” into a strategic advantage. Link in comments.

What’s next for reliability technology and strategy? Join Bob Francis CRL, MBA, Reliabilityweb's Research and Strategy Leader, as he moderates an Analyst RAP Talk panel featuring Malavika Tohani, Research Director at Verdantix and members of the industry press. They’ll unpack the latest research insights and trends shaping how asset owners, operators, and front-line practitioners approach reliability — and where solution providers are investing in software, innovation, and people to meet the next wave of industry challenges. ☑️ Expect actionable intelligence. ☑️ Expect a clear view of where our industry is heading. ☑️ Expect to leave ahead of the curve. #reliabilityweb #uptimeelements #reliability #Expertled #reliabilityleadership #assetmanagement #AI #Transform #IMC25 #Internationalmantenanceconference #verdantix #analystpanel

Some highlights from Jefferies “AI in Capital Markets” event in London this month. The importance of context engineering cannot be overstated—it’s an ever-growing operating discipline. When you explicitly combine PM intent, risk limits, high-quality data points, and sophisticated AI/ML understanding, you move from endless PoC/demo-grade outputs to highly effective insight generation. Ultimately, strategic decisions shift from trendy, sporadic solution creation to building a consciously curated portfolio of integrated, scalable services embedded in core workflows—with clear ownership, and cost-to-value oversight. Hype is ineffective; conscious curation is not! Personally, I think AI adoption will be one of the defining themes in financial services over the next 24–36 months, but broad deployment in investment research will lag until explainability, audit trails, and repeatability clear a materially higher bar. Most PoCs fail not on models but on governance and mechanics—implementation frameworks, evaluation metrics, data-leakage-proofing, red-teaming, bias controls, staged rollouts, and measurable guardrails will separate one-hit-wonder demos from production outcomes—and that’s where the alpha (and the accountability) actually is!

Wow! Private market momentum is accelerating faster than ever, and the data proves it. →The pre-IPO market hit $2.22T in aggregate value, doubling in just one year. → AI companies now represent 10 of the top 20 names → Average share price growth: 39.9% in Q3 → OpenAI became the most valuable private company at $515B → Anthropic's share price surged 145.7% in one quarter

As GenAI is recognized as a powerful tool to drive business growth, it has become increasingly important to understand how to use it effectively. In this article, my colleagues Chase Covington, Jeremy Cowcher, Laura Borton, Christopher Hagedorn, David Pralong and William B. cover 5 ways on how to best leverage GenAI for a diligence #mckinsey #genAI #productivity