Invisible Technologies

Synthetic data helps new models reach baseline fast. But if it's just rehashing what the model already knows... You're overfitting instead of improving the model.

While everyone chases massive datasets, the truly competitive edge comes from targeted supervised fine-tuning (SFT) datasets. It's no longer about how much data you have, but how effectively you refine your models with specialized, high-quality data. The results speak for themselves: enhanced domain-specific performance, lower compute costs, and improved model reasoning across complex tasks. What's your experience with fine-tuning? Has your organization moved beyond the volume game to quality-focused approaches?

In the latest edition of our newsletter, AI | The Invisible Advantage: 🔧 Amazon hits 1 million warehouse robots 🐝 Robotic beehives cut colony losses 🧬 AI decodes DNA 👉bit.ly/46PBWsG

Want to actually accelerate AI in your org? Stop asking how to add it and start asking what you need to rebuild. At Founders Forum London, one theme came through loud and clear: The winners are rethinking how their companies work end-to-end. That’s how AI stops being a pilot and starts driving results.

Responsible AI isn’t just ethics talk. It’s also: ✅ Clear data provenance ✅ Tight labeling practices ✅ Pre-deployment evals ✅ Cross-functional alignment The AI that scales will be built on inspectable foundations.

In the enterprise, real ROI doesn’t come from AI that just makes someone's job easier. It comes from AI agents that handle the data work we don’t have enough people to do and no one wants to do in the first place. Our Forward Deployed Engineers help clients bring these Agents to life by turning massive, chaotic datasets into systems that actually work.

AI ≠ SaaS playbook. If you copy the old SaaS playbook, your AI project will stall. Invisible CEO Matt Fitzpatrick broke it down on @Nasdaq TradeTalks. AI moves fast, while old habits don’t.

94% of CEOs aren’t happy with their AI. Adoption fails, with most AI projects dying in pilot mode. Invisible CEO Matt Fitzpatrick broke it down on @Nasdaq TradeTalks: 🧠 Start with the right problem 📊 Use the right data 🙋‍♂️ Build for real users

AI is moving fast. Are you keeping up? The Invisible Advantage Issue #5 includes: 🧠 Real-world wins from Amazon Q ⚡️ Nvidia’s lightning-fast transcriber 📺 AI takes the BBC’s inbox Catch all the stories shaping the future, and subscribe: theinvisibleadvantage.substack.com/p/aithe-invisi…

We've uncovered 600+ opportunities for AI automation within the enterprise, yet only a fraction are rolled out. Use AI-powered Insight Generators to detect patterns, trends, and anomalies in your annotated datasets without manual analysis. Why isn't this at scale? Extracting truly actionable and contextually relevant insights automatically often requires sophisticated analytical models and domain understanding.

AI’s moving fast. Are you keeping up? The Invisible Advantage – Issue 4 📊 Enterprise AI adoption stalls at pilot stage 🚗 Volkswagen builds its own self-driving tech 📱 Netflix tests AI mood-based search 🎙️ AI radio host fools thousands for six months Catch all the stories shaping the future, and subscribe: bit.ly/4jwZlCX

Edition 003 just dropped. The Invisible Advantage 🛒 Amazon’s AI agent shops for you 🛡️ Cloudflare fights bot scraping with fake pages ⚖️ An AI avatar just showed up in court Get the full breakdown, and subscribe!👇 shorturl.at/ug7tE

We've uncovered 600+ opportunities for AI automation within the enterprise, yet only a fraction are rolled out. AI can automate data subsetting and customized views, making data preparation for analysis faster and more efficient. Why isn't this at scale? Integrating AI for nuanced data understanding and user-specific needs often requires highly adaptable and trained models.

Over 10,000 people subscribed to the first edition of our LinkedIn newsletter containing the most important AI insights. #2 just dropped. Don’t miss out: 👚 H&M’s AI-generated models are here 📈 A new AI model predicts full automation—and lets you test it ⌚ AI still can’t read a clock Catch the full breakdown and subscribe 👇 bit.ly/42gSwxX