Personalized learning
Adaptive practice, feedback and study support tuned to each learner — with educators in control.
Industry
AI for Education
Support learners and staff with copilots that respect privacy, pedagogy, and institutional policy.
- 2×faster advisor response to students
- 30%admin workload reduction
- 100%academic-integrity-aware design
Capabilities
AI that serves learning
Personalized learning and student engagement AI for education providers.
Advisor copilots
Advising teams see every student's context and get outreach drafted for the ones who need it.
Admin automation
Admissions, registrar and financial-aid workflows accelerated with accuracy.
Engagement analytics
Early-warning signals for at-risk students with privacy-respecting design.
How we deliver in education
Scale the support, keep the humanity
Education AI should multiply educators, not replace them. We build tools that give staff and faculty superpowers while protecting students.
Student success
No student slips through unseen
Engagement, performance and administrative signals fused into early-warning insights — advisors get prioritized outreach lists with context and drafted first contact.
- Early-warning signals with transparent logic
- Advisor dashboards with drafted outreach
- Privacy-first design with clear data governance
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Learning support
Help at 11pm, aligned with the course
Study assistants grounded in course materials — not the open internet — that guide toward understanding rather than handing over answers, with faculty controls per course.
- Grounded in syllabus, notes and approved materials
- Socratic guidance modes that protect integrity
- Faculty dashboards showing where students struggle
Copilot
Draft renewal summary for Acme Corp
3 accounts show churn risk — view analysis
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Administration
The back office at student speed
Transcript evaluation, application processing, financial-aid document checks and registrar requests automated — students get answers in minutes, staff get their queues back.
- Document processing across admissions and records
- Policy-grounded answers for student services
- Case routing with full history for complex issues
Invoice exception workflowRunning
✓Extract invoice fields1.1s
✓Match against PO0.6s
Resolve mismatch with agentrunning
·Post to ERPqueued
Use cases
Where institutions deploy AI with us
Student services desk
Registration, aid and records questions answered instantly.
At-risk early warning
Signals and outreach that improve retention measurably.
Course-grounded tutoring
24/7 study support aligned with faculty intent.
Admissions processing
Applications and transcripts evaluated faster and fairer.
Faculty assistants
Content prep, rubric drafting and feedback support.
Institutional research
Outcomes analytics with governed data access.
Delivery
Industry-first delivery
Every engagement is grounded in your domain — regulations, operating models, and the use cases that actually move the needle.
- Domain-ready use cases
- Compliance-aware design
- Ops & CX impact
- Reusable industry playbooks
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1
Map the domain
Identify high-ROI workflows and risk boundaries.
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2
Prioritize use cases
Score impact, feasibility and data readiness.
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3
Pilot with guardrails
Ship a controlled production pilot fast.
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4
Scale across ops
Expand to adjacent processes with shared platforms.
First-year retention rose three points. Advisors didn't get replaced — they got a caseload they could finally see all of.
Works with your stack
Works with your campus stack
SIS, LMS and CRM integrated with FERPA-aligned data governance throughout.
- Banner
- Workday Student
- Canvas
- Moodle
- Salesforce Education
- Slate
- AWS
- Azure
- Anthropic Claude
- OpenAI
- Snowflake
- Okta
FAQ
Common questions
How do you handle FERPA and student privacy?
Student data stays inside your governance boundary: role-based access, purpose limitation, audit trails and no training on student records. We design with your registrar and counsel from the start.
Doesn't AI tutoring enable cheating?
Ungoverned AI does. Course-grounded assistants with Socratic modes, faculty controls and integrity-aware design do the opposite — they support learning while keeping assessment meaningful. Faculty configure the boundaries per course.
Can small institutions afford this?
Yes — starting with one high-impact workflow (usually student services or early warning) keeps initial scope modest, and shared-platform economics improve from there.
How do faculty react?
Best when involved early. We run faculty pilots, publish what the AI can and can't see, and put educators in control of course-level behavior — adoption follows trust.
Next step
Multiply your educators
Start where the queues are longest — student services or advising — and measure the difference in one term.