Free Is Not Free: The Hidden Cost of “Free” Infrastructure
Entire ecosystems of modern software now advertise free tiers as the starting point for adoption. For experimentation and early development, these offerings can be incredibly useful. They lower barriers, encourage exploration, and help teams get projects off the ground quickly.
But there is a subtle shift that happens as systems mature. What begins as a convenient free tool can gradually become something far more significant: the place where an organization’s data lives.
At that point, the economics of “free” start to look very different.
Because infrastructure—real infrastructure—has never actually been free.
Two Game-Changing AI Advantages of SQL LRS
For organizations working with learning and performance data, the biggest barrier to using AI effectively is rarely the models themselves—it’s the friction between data collection, transformation, and usable features.
This is where SQL LRS creates a significant advantage.
From LMS Lock-In to Enterprise Analytics: Unlocking Partner Training Data with SQL LRS and LRSPipe
A few years ago, big LMSs started shipping with the availability of their own internal Learning Record Stores. But more often than not, this only resulted in more frustration. Because even when the LMS captured rich activity data using xAPI, the data remained locked inside the system’s built-in LRS. Just getting access to your own data became an endless game of phone-tag.
So, while the training data exists, businesses can't easily use it.
This is where LRSPipe and SQL LRS provide a powerful solution.
Ten Ways SQL LRS Turns xAPI Data Into AI-Ready Intelligence
Many Learning Record Stores still treat xAPI as a storage format: collect statements, store them, display a dashboard. That was sufficient when reporting was the goal. But AI systems don’t need dashboards. They need clean signals, structured sequences, and verified outcomes.
Mixta.ai and the Rise of 4th Generation Simulation Platforms
Simulation has always been one of the most powerful tools in learning and workforce development.
But not all simulations are created equal. From static branching scenarios to fully immersive AI-driven conversations, the technology has evolved in waves.
Mixta.ai has developed what we can confidently call a 4th generation simulation platform — AI-enabled, analytics-native, and architected for transparency from the ground up.
Why xAPI Is a High-Value Data Format for AI in Learning
Most AI initiatives in learning focus on surface-level capabilities.
Few focus on data foundations.
But AI doesn’t magically create insight. It amplifies whatever data architecture you give it.
If your activity data is fragmented, mutable, and loosely defined, AI will amplify that chaos.
If your activity data is:
Structured
Deterministic
Immutable
Standardized
AI can become a durable, scalable capability.
That’s where xAPI shines.
Let’s Get Real About xAPI
If you’ve spent any time in the learning technology space, you’ve probably encountered xAPI — and you’ve probably also heard someone struggle to explain why it matters.
That’s not because xAPI lacks value.
It’s because xAPI has been, at various points in its life, too early, too narrowly positioned, too slow to standardize, and too misunderstood.
Let’s talk about it.
INFERable: Leveraging xAPI to power AI Inference from Learning Activity Data
Imagine connecting xAPI instrumentation with real-time AI inference. INFERable is doing it. And they are helping organizations move from capturing learning activity to optimizing learning performance.
From Job Descriptions to Task Portfolios
A modular blueprint for early‑career resilience and organizational talent optimization in the wake of AI
What is SQL LRS and Why Does Your Organization Need It?
Enterprise learning organizations are increasingly looking to harness the power of learning data to improve training, performance, and decision making. But with the vast amounts of learning activity data being generated across various platforms and systems, managing and analyzing that data can quickly become overwhelming. This is where SQL LRS comes in.
Pro Tip: Automating Pre-Requisite Checks and Course Eligibility with SQL LRS Reactions
Did you know that you can use Reactions in SQL LRS to automate pre-requisite checks and course eligibility?
Let’s talk about Yet’s xAPI Advisory Services — for XR Learning Companies
XR is a perfect use case for xAPI. Because most events that occur within an XR learning experience are activity-based, it’s easy to instrument an XR system to produce activity data aligned with xAPI. And because so much of the interesting information about learning that occurs in XR is behavioral and experiential, xAPI’s semantic data model — purpose-built for activities that occur during learning — is both a clear fit and a natural value-add.
Yet Analytics’ solution now available through the Department of Defense CDAO’s Tradewinds Solutions Marketplace - SBIR Aisle
Yet Analytics, a leading provider of enterprise learning data software solutions today announced that its solutions package for the Total Learning Architecture is now available through the SBIR Aisle program from the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace.
Unlocking B2B Learning Data: How Yet Analytics Supports Interconnection and Accessibility for XR and LMS Providers
Whether you're delivering immersive XR training experiences or managing complex learning requirements through an LMS, the ability to design, implement, and operationalize xAPI is no longer a “nice to have” – it’s a competitive advantage.
XR & xAPI: How Mixed Reality Training Benefits from Human Performance Tracking
A lot of people have been asking us lately about the potential value of xAPI in XR training. It’s a question worth asking as more industries are making an investment in mixed and extended reality — especially for training in high-risk or “difficult to practice” domains. For training and innovation leaders in these spaces, it comes down to: “Does xAPI really matter for XR — and if so, why?”
TLA Office Hours
TLA Office Hours will occur every Friday at 1pm Eastern. They are meant to complement the work of the TLA Study Group — a volunteer effort sponsored by the IEEE Learning Technology Standards Committee to write a book-length report on the Total Learning Architecture.
The Value of an Advanced xAPI Enablement of Moodle: Considering in the Context of K12
If the goal is to improve the infrastructure required to support increased efficacy and expanded access, then one could do much worse than to implement proven standards-based and open source capabilities that have been field tested and built for scalability in real world environments.
Software Devs and Educational Tech Teams, listen up! (New Services Offerings for 2025)
In addition to continuing to provide our ongoing support, maintenance, and upgrades to SQL LRS and the rest of our open source software portfolio for our clients and the broader community, we’re starting up a host of new services.
xAPI was designed to break down silos. So, don’t put it in a silo.
Neither xAPI nor any of the related IEEE LTSC data standards naturally gravitate towards living in silos. They are all designed to be interconnected and they thrive on interconnectedness.
They only end up in silos if you put them in silos.
The xAPI Plug-in for the world’s most-installed open source LMS gets an upgrade
For much of the last year, our team at Yet has been engaged in the development of a major upgrade of the xAPI plug-in for the open source Moodle LMS.