Sibme Copilot connects observations, coaching cycles, classroom recordings, student work, curriculum, and instructional frameworks so educators can answer important questions using evidence from their own classrooms.
Copilot connects what your district has captured over time, including observations, classroom recordings, coaching activity, lesson plans, student work, curriculum, and local frameworks. Every answer is grounded in evidence from your classrooms.
Ask questions across your district’s evidence, analyze classroom recordings, and receive feedback aligned with your instructional frameworks.
A conversational AI that knows your district. Ask what's working, where gaps exist, or what changed since last year — answers tied to real classroom artifacts.
17+ reports pulled from classroom recordings: talk-time breakdowns, question types, movement maps, wait time, hand-raise and sentiment tracking — data you couldn't collect in a hundred walkthroughs.
It checks lesson plans, student work, materials, and recordings against your frameworks — surfacing DOK levels, framework scores, differentiation gaps, and next steps. Like a coach reviewing every artifact.
Connect curriculum materials with classroom recordings, lesson plans, student work, and observations. See where implementation is strong, where educators are adapting materials, and where additional support may be needed.
Sibme analyzes classroom video and audio to surface participation patterns, questioning strategies, talk time, wait time, movement, and other instructional indicators. Every finding connects back to a specific moment in the recording.
Analyze classroom recordings, lesson plans, student work, and instructional materials together. Sibme identifies relevant evidence, connects it to your framework, and suggests focused next steps for educator review.
AI Insights analyzes student work and classroom evidence to surface DOK levels across your class, flag misconceptions, and suggest differentiation paths. So teachers spend time on teaching, not data sorting.
It pulls from lesson recordings, student work, instructional materials, and lesson plans to build a complete picture of what's happening, not just what was submitted.
Reviews the evidence in relation to your district’s instructional framework and identifies the evidence supporting each suggested rating.
Works with Danielson, T-TESS, Marzano, and any custom framework your district has configured in Sibme.
Districts should understand how AI uses their data, how its conclusions can be reviewed, and where educators remain responsible for decisions. Here is how Sibme approaches each question.
Just like a calculator doesn't replace a mathematician, Sibme AI doesn't replace teachers. It supports their work by providing insights and saving time.
Built privacy-first. We comply with FERPA, COPPA, and GDPR. Biometrics are optional, video blur protects student identities, and educators control what's analyzed.
Sibme's analysis is evidence-grounded, not opinion-based. Every insight points to a specific observation, note, or artifact. Educators review what it surfaces, then decide what it means.
A bad first experience kills adoption, so Sibme starts small: pilot with early adopters, then roll out. You get dedicated implementation support, Sibme Academy micro-courses, and in-app help.
How districts build the evidence to answer hard questions about curriculum, coaching, and whether any of it is working. One PDF. No sales sequence.
No credit card. No follow-up if you say no.
See how Sibme Copilot turns the evidence your district already collects into answers educators can review, trust, and act on.
The instructional evidence platform for K–12 districts.
