Atlas is an AI technology layered on top of HQIM. It looks at daily student work, identifies patterns and misconceptions, groups students based on what their responses show they need, and surfaces next steps and lessons in time for tomorrow’s lesson. Instead of showing more data, Atlas helps teachers make data-based choices about what to do tomorrow, faster and with more confidence.

Atlas is for schools and districts that want to strengthen core instruction by helping teachers use formative data while keeping curriculum coherence and teacher agency at the center. It supports responsive teaching, reduces planning burden, and fits naturally within HQIM and MTSS frameworks.

Teachers already have plenty of data. What they don’t have is time to turn that data into a clear plan before the next lesson. Atlas looks at student work, shows what students actually missed, and points teachers to instructional supports for tomorrow that connect directly to today’s learning. The result is less planning and more teaching.

Atlas is not an adaptive, student-tracking platform. Atlas shows teachers where students are and what options are available next, but it never moves without the teacher.
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It’s built on top of HQIM instead of a separate tool, so insights are directly tied to curriculum goals. Teachers decide, not algorithms. Atlas uses student data to inform teacher decisions and better support students in tomorrow’s instruction. 

No. Atlas does not make instructional decisions for teachers. Atlas shortens the time between when teachers see student data and when they can provide support. Atlas connects what students missed today to intervention supports for tomorrow, work teachers previously had to do on their own.

Teachers stay in control. Atlas never sends work to students or takes action without teacher review and approval.

Atlas uses patterns in student work to surface HQIM-aligned activities that already exist within the curriculum directly in tomorrow’s lesson. Teachers don’t need a separate planning space or extra tools, and they don’t need to hunt for resources. The result is less time rebuilding plans and more time teaching.

Cool downs consist of 3 key questions that align tightly with lesson goals. Lesson Clipper integration means Do Nows are easy to assign and manage. Atlas insights are usable even if daily Do Nows aren’t fully completed. Teachers can still act on patterns and needs identified.This reduces scheduling friction and ensures Atlas insights fit into real instructional timing.

Yes. Teachers can jump between Atlas leveraged lessons so insights from one day can inform instructional decisions for any upcoming lesson, keeping instruction coherent rather than siloed.

Atlas supports automated scoring and feedback on custom cool downs and Do Nows, giving teachers usable insights regardless of whether the content was prebuilt or teacher-created.

Atlas is designed to support classroom workflows that don’t require constant device interaction, such as discussion-based instruction, small-group work, and shared-device workflows.

No. Atlas is designed to inform core instruction first. Teachers can extend its use into intervention time if desired, but its primary value is keeping daily lessons connected and responsive to student work.