The Learner
Unsupported & unseen- One-size instruction misses the edges.
- Needs are spotted late — or not at all.
- Specialists stretched across too many students.
We help special-education and STEM teams solve the real challenges in their classrooms — with AI as the assistant, and educators leading every decision. Student data is protected by design; every outcome is measured.
Sources: U.S. Dept. of Education — NCES, Condition of Education 2023; SPeNSE Paperwork Substudy. Advocacy Institute analysis of OSEP data, 2024. Figures describe the sector, not Softvorx outcomes.
The same failure repeats at every level — and none of it is fixed by handing teachers another app without governance.
Not a staffing problem alone — an information-flow problem.
Both run on the same governed, privacy-first foundation — each with its own agents, workflow, and measurable outcomes.
Educators author every IEP decision; AI accelerates the structure — measurable goals, progress summaries, compliance timelines — and never acts without an educator gate.
A teacher-led diagnose → teach → assess → adapt loop. AI accelerates differentiation, practice, and misconception-spotting; teachers command every decision.
We treat the district as a network of information flows — removing friction, adding governed AI, and protecting student data at every node and edge.
The foundation. Data classification aligned with the Family Educational Rights and Privacy Act (FERPA), IDEA, and the Children’s Online Privacy Protection Act (COPPA); guardrails, consent, and a full audit trail — applied to every layer above.
Role-specific training for teachers, specialists, and paraprofessionals — with guardrails before tools. Compliance comes first.
A governed teaching and IEP assembly line. Every phase has a lead educator, a privacy gate, and a measurable student outcome.
IEP teams, intervention teams (MTSS/RTI), and STEM teacher learning communities (PLCs) supported by AI — with a data-privacy steward on every team.
A cross-school knowledge network: student-information-system (SIS) and IEP-system integration, curriculum alignment, a shared intervention library, and district feedback loops.
Learner, classroom, school, and district metrics. Each level configures its own success criteria — all converging on student growth.
A superintendent and board single pane of glass: learning growth, compliance health, equity gaps, program ROI, and readiness.
Before a single tool is approved, we define what student data may touch which class of AI — and log every interaction for audit and parent transparency.
Identifiable student data stays inside the school’s systems. Only de-identified metrics ever reach AI — every output returns to an educator before use.
Softvorx is a multi-role K-12 student growth documentation platform. The current MVP includes:
In development · not claimed as deployed
Designed for four documentation modes serving all K-12 school types, with roadmap expansion continuing through 2027.
A focused pilot proves the gains in real classrooms — privacy protected, educators in command, outcomes measured from day one.