Cultivate your data

and harvest fresh insight.

We provide advisory, augmentation, and support services for forward-thinking enterprise learning and training orgs across government, industry, and academia. Our specialty is data.

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Winner of the Nielsen Data Visionary Award at TechCrunch Disrupt

Our philosophy about learning

and training data is simple:

steward the data you already own, cultivate with purpose, and harvest insight season after season. Let’s turn your learning data into sustainable insights that drive performance.

Yet Analytics empowers organizations to turn learning data into insights that drive performance. Our open source tools and expert services instrument immersive experiences to produce rich data, build scalable learning data fabrics, and generate privacy‑safe synthetic datasets. We help commercial teams harness xAPI and AI‑ready analytics to measure what matters while personalizing training and accelerating growth. With Yet, your data ecosystem becomes a strategic asset — secure, interoperable, and future‑proof.

Our data services…

The Total Learning Architecture (TLA) is the premier standards-based open data fabric for enterprise learning. And we are the experts in the TLA.

Our expertise extends to any enterprise implementation of advanced analytics, data management, and artificial intelligence in the space of learning and training.

Custom Data Instrumentation Advisory to Support Any Team
Ensure reliable, actionable data across your organization with our Custom Data Instrumentation Advisory. We partner with product, engineering, analytics, and growth teams to design and implement instrumentation that aligns with your business goals, reduces blind spots, and improves decision confidence. Our advisory includes event taxonomy design, tracking plan creation, implementation guidance, testing and validation strategies, and governance recommendations—tailored to your tech stack and operational needs. Whether you’re launching a new product or scaling analytics across teams. We’ve got your back.
Add our data instrumentation expertise directly to your team.
Embed experienced instrumentation engineers and analysts who design, implement, and maintain reliable event schemas, tracking plans, and telemetry pipelines. We ensure accurate, consistent data collection across products, reduce technical debt, and enable faster, more confident analytics and product decisions. Our team integrates with your processes, provides documentation and governance, and hands over maintainable tooling so you get immediate impact and long-term data quality.
Yet Analytics now offers Secure Upgrades and Guaranteed Support across all of Yet’s open source software. Every release will include security-hardened updates, timely patches for vulnerabilities, and compatibility maintenance to keep deployments safe and stable. Backed by a dedicated support team, organizations receive guaranteed response SLAs, long-term maintenance assurances, and expert guidance for upgrade planning and incident resolution. These services let teams adopt Yet’s OSS with confidence—minimizing risk, reducing operational overhead, and ensuring continuity for critical analytics workflows.

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Who we are…

We’re the team that built SQL LRS and its unique onboard conditional logic engine for xAPI. We’re the team that designed and developed the core software components of the Total Learning Architecture—including the Enterprise Learner Record Repository. We’re the team that built DATASIM and took on fundamental research into the nature of synthetic xAPI data at the scale of business.

We’ve been trusted by governments, large industry providers, and the world’s most innovative learning and training technology startups. We’ve worked with universities and accelerator programs. And we’ve worked with data across modalities—from LMSs and LXPs to AR/VR platforms and XR mixed reality headsets. We’ve published open source capabilities for Unity and for Moodle. We’ve delivered ground-breaking research on synthetic data for modeling observer-based assessment and in privacy-conscious educational data mining. And we’ve supported the development of global data standards at the IEEE.