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Edtech

Partnership beyond the big launch

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Client: Leading K12 Curriculum Provider
Project Sponsor: Anai Arroyo, Delivery Manager
Year: 2026
What Happens After the Big Launch? How this K12 Curriculum Provider Built an Embedded Engineering Partnership

A leading K12 math and science curriculum provider in the US partnered with Edify over a multi-year engagement.

You just successfully launched a big EdTech product. The team is relieved and tired, investors are happy, hair was lost, and knowledge was gained. Now what?

Work team conducting a strategic planning session in front of a wall schedule in a bright office setting.

For a leading K–12 curriculum provider, the answer was to rethink how they operated. What started as an effort to bring their materials into a digital platform evolved into a sustained, embedded engineering partnership that supports continuous improvement, team efficiency, and coordination across multiple vendors.

After rapid building, testing, and launching, many EdTech companies reach the same inflection point: what happens next?

The Challenge

There comes a point in every software lifecycle when building is no longer the main focus. The work shifts from launching to sustaining, delivering to improving, and standing something up to making sure it can stand the test of time.

For this organization, the platform was live, adoption was growing, and new leadership was in place. The question was no longer how to build, but how to operate efficiently with multiple vendors, evolving teams, and increasing expectations.

Time was the one thing they could not waste. Every decision had to move things forward, and that required a partner who truly understood both the risks and the road ahead.

The Solution

Line drawing of a lighthouse on rocks with a sailboat in the background, symbolizing guidance and direction

The partnership took hold and stayed. The company didn’t flounder after launching; they scaled and the relationship with Edify evolved.

And so did the company’s curriculum. Adoption expanded, new products followed, each raising the bar for quality, compliance, and usability. That growth required an operating model that could hold up under pressure, across fifteen teams, multiple vendors, and a constantly moving set of priorities.

Edify served as an anchor through complexity. As Anaí said: 

Things moved in different directions all the time. Edify helped bring everyone back together when the ride got rough,

It’s a dynamic that clients consistently point to: consulting teams that become true embedded partners – ones that learn the product, guide the work, and stay resilient when things get hard – are rare. That level of commitment is not easy to find.

Mobile Devices

If the product performs, if teams move with fewer handoffs, if improvements stick instead of creating downstream problems, that’s success for Edify’s clients. And it’s success for Edify, too.

Because as embedded team members, there’s no clean line between “their work” and “our work.” 

This organization became what it is today by building systems that could scale. Edify stayed to keep those systems working well.

There wasn’t a finish line after that; only the next decision.

And the one after that.

That’s where embedded partnerships matter most.

Chosing Edify

Growth has a way of clarifying what matters. As organizations scale, anything unnecessary tends to fall away. 

For this client, it became clear that Edify wasn’t something to remove. What had changed was the nature of the need. Anaí Arroyo, a Delivery manager at Edify, shared:

The client stopped needing a builder and instead, they needed us to help the product team run better. They wanted fewer workstreams, clearer ownership, and the right people leading the right projects.

That meant showing up beyond the technical work. Edify’s team worked closely with delivery managers and cross-functional stakeholders, and leaned on the kind of interpersonal skills that don’t always show up in a SOW but determine whether a product organization moves forward. When trust is built across teams, decisions get made faster, problems show up sooner, and the work improves in how the whole operation functions.

 

Rather than adding individual contributors, Edify embedded a cross-functional team inside the product team. Capacity mattered, of course. But the deeper value was that the Edify team was inside the product. They understood the risks and priorities. When a contracted development team can do that seamlessly, they can help lead the work.

To support this model, the organization brought in a larger engineering firm to provide additional development capacity, while Edify focused on direction, architecture, DevOps, and product leadership. Rather than duplicating effort or creating friction, Edify worked to clarify ownership, align priorities, and establish a shared delivery rhythm.

Part of that role involved helping the broader team understand the education context:  how the academic calendar shapes delivery, what teachers need in a classroom tool, and how administrators evaluate adoption. That kind of domain fluency doesn’t come automatically, and bridging it made the overall partnership more effective.

If your product is live and you’re balancing multiple vendors, evolving teams, and rising expectations, let’s talk.

Book a time now

Explore other Edify success stories to see how long-term collaboration supports growth across education organizations:

The Impact

WE CREATED AN PERSONALIZED LEARNING PLATFORM AND THE STUDENT RESULTS WERE AMAZING!

In a survey of the students that participated in the pilot study, 90.9 % liked using EdReady, and 100% said EdReady improved their understanding of the required material. A majority of students raised their scores at a rate of roughly 4 points per hour studied (on a 100 point scale), sufficient to reach the target score in most cases with less than 16 hours of study!

90%

Liked using EdReady

100%

said improved understanding of the material

4 POINTS PER HOUR

raised their scores at a rate of

Ongoing Process

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Katsumoto Schopenhauer
Berkeley Computing, Data Science

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Katsumoto Schopenhauer
Berkeley Computing, Data Science