The AI collaboration workspace for the AI-era classroom.
Cognity captures every student-AI interaction — prompts, revisions, accepted suggestions, original writing — and turns it into a process teachers can actually see, teach to, and grade.
One sandbox, two modes — on a shared safety engine
Engine-level harm blocking is the base layer for everything. On top of it, Cognity runs in two modes: a teaching tool for younger students learning to use AI safely under live teacher monitoring, and an assessment toolfor older students whose AI-collaborated work is graded against a rubric with the full process visible.
Harm blocked at the model, before it ever reaches a student
Both the teaching and assessment modes sit on top of the same K-12-tuned safety engine. Self-harm, sexual content, violence, and prompt-injection are filtered at the source — not patched after the fact. This is the default, not a feature you turn on.
- Multi-layer content filtering tuned for school contexts
- Age-appropriate calibration by grade band
- Resistant to common jailbreaks and prompt injection
- All interactions logged for audit
Real-time monitoring so younger students can meet AI safely
For elementary and middle school, the sandbox is a guided first experience with AI. Teachers see every conversation as it happens, can step in instantly, and shape how students learn to talk to — and think with — an AI.
- Live feed of every student conversation across the classroom
- Optional prompt-approval queue before the AI responds
- Instant alerts for off-task, off-topic, or risk-bearing messages
- Designed for the first time a student ever uses generative AI
Grade the work and the AI collaboration process behind it
For middle and high school classrooms, the sandbox records the full collaboration trail — prompts, revisions, accepted suggestions, original writing — and lets teachers grade the final artifact against a rubric while seeing exactly how AI was used to get there.
- Full, time-stamped record of every student-AI interaction
- Rubric-based grading on the final output, with process evidence attached
- Visible breakdown of student-authored vs AI-assisted content
- Academic-integrity signals built into the workflow, not bolted on top
Brainstorm, define success, then build — with AI as a thinking partner
Cognity's vibe-coding mode treats coding as a problem-solving discipline, not a syntax exercise. Students start with structured brainstorming and define their own success criteria before a single line is generated. AI then helps them build toward those criteria — and the rubric grades how they thought, not just what shipped.
- Guided brainstorming canvas before any code is written
- Student-authored success criteria become the grading rubric
- AI scaffolds problem decomposition, not just code completion
- Full trail of decisions, pivots, and debugging reasoning preserved
Enterprise-grade infrastructure for schools
Cognity is built on RAG-grounded LLMs, multi-region hosting, and standards-aligned data pipelines — the same foundation that powers our work with ministries and large school networks.
- RAG grounding for curriculum-aware responses
- Regional data hosting options (EU, APAC, Americas)
- PIPA, PDPO, PDPA-aligned data handling
- SSO via Google Workspace and Microsoft 365
- Roster sync with Google Classroom and LTI 1.3 supported
