Client Story
Inside a 10-Year Partnership: EdTech Giant Grows Its Expert Network 7x
June 2, 2025
Key takeaways
- An AI-powered, human-perfected strategy worked wonders for this online tutoring stalwart
- We support a demand-responsive content engine, managing over 5,000 SMEs (Subject Matter Experts) across 25+ subjects while ensuring cost and quality control.
- Our engineers adopted and operationalized the client’s industry-leading Quality Control (QC) framework, a cornerstone of their 100% quality guarantee.
- A long-term Cost Improvement Program turned productivity gains into ongoing cost savings that were reinvested into innovation.
- By aligning global operations with the client’s growth goals, LearningMate helped future-proof their AI learning ecosystem—ensuring learning stays scalable, accurate, and accessible.
Overview
For over a decade, this EdTech leader has had the bold vision of making learning accessible anytime, anywhere for every student across the world. Achieving that vision, however, meant processing massive volumes of content—textbook solutions, live tutoring, and AI-assisted learning at a speed and scale few could manage. Sustaining this level of operational intensity required a partner built for high-volume, high-precision academic content.
With our deep bench of talented engineers, developers and SMEs, they would go on to build an agile operation that meets student demand without breaking stride. Read on to learn how our in-house Global Capability Center (GCC) operations power an AI-Human Learning Engine for 10M+ students.
The Challenge of High-Volume, High-Accuracy Learning
Millions of students turn to this leading EdTech platform daily for expert answers. To keep up, the company needed an operational backbone and deep EdTech expertise.
The Solution
The Foundation of a Decade-Long Association
Our internal innovation hub became the brand’s operations partner. It started by helping re-engineer their approach from reactive hiring to a demand-responsive talent ecosystem.
- Instead of sourcing SMEs one by one, we tapped into long-standing university partnerships and a vast freelance network, expanding the firm's workforce from 700 to over 5,000 highly specialized experts, including PhDs.
- SME availability was now a function of demand. The firm could instantly ramp up the number of active experts it worked with based on seasonal increases.
- Lastly, with structured onboarding and clear quality benchmarks, new experts were ‘up to speed’ faster than ever.
With demand spiking unpredictably and AI still needing a human safety net, we set up an internal global operations model to align its teams around the client’s changing needs. This hub brought together talent and operational agility across content creation, quality control, AI support, and data labeling, helping the client work smarter.
Scaling Quality Without Compromise
As the company’s SME network expanded, maintaining consistent quality at scale became even more critical.
To support this, pur engineers embedded its QC framework into daily ops to defend the brand’s promise of quality. All content passed through a structured validation pipeline: expert reviews, feedback loops, error tracking, and standardized checklists designed to catch inconsistencies early.
Next, the company implemented this framework across teams, ensuring it could flex seamlessly with seasonal demand spikes.
AI-Powered, Human-Perfected Content
Once AI became a core part of how education was delivered, our GCC team became the firm's human intelligence layer. AI-generated content was fast, but it wasn’t foolproof.
Rather than treating AI as a standalone solution, the company established a human-in-the-loop validation system through SMEs, maintaining quality across millions of student queries. It also created feedback loops to train AI models, progressively improving the responses users got.
As a result, the AI got smarter, but students were never given pure machine-generated content.
The Impact
5,000+ SMEs
across 25+ disciplines
For a network built to flex with demand.
$3 million
in efficiency gains through a strategic transition.
To give the client more operational and financial flexibility, LearningMate took over their captive team—retaining deeply experienced talent and building a more agile model that continues to deliver year-on-year savings.
40% fewer
AI-generated content errors
by adopting and operationalizing the brand’s QC framework for AI-generated content.
A Partnership That Delivers Year After Year
Our clients believe in us as much as we believe in them. More than 25% of our clients have been with us for nearly two decades, reflecting our commitment to growing together. As a hallmark of our long-standing collaboration with this EdTech leader, we developed a Cost Improvement Program for them.
The program ensured that any productivity gains—whether from process optimizations, automation, or experience—translate directly into cost savings for the firm. Our ability to quickly prototype, deploy specialized SMEs, and handle large-scale projects means the firm can move faster without disruption.
The impact is immediate and measurable. Cost efficiencies continued to build year over year, freeing up resources for reinvestment in innovation. More than a one-time fix, the Cost Improvement Program became a foundation for the brand to grow boldly.
Future-Proofing EdTech Growth
By transforming how expert knowledge is managed, we helped our EdTech partner build a foundation for future growth. Today, the platform is more cost-efficient and AI-ready than ever before.
Working with our long-term EdTech client, we helped to future-proof their business model. While it has already delivered significant cost efficiencies and operational scale, its real impact lies ahead. Ultimately, the model ensures that high-quality learning remains accessible to students at any scale for years to come.