FERPA-aware by design
Data minimisation, access controls, and retention rules designed in from the first sprint — with a written data map built for institutional review.
Proof layer Every student-data touchpoint documented in a data map you keep.
Education
Ship the AI features your buyers keep asking for
White-label advising and tutoring assistants, enrolment operations, and records automation — FERPA-aware, built into your platform under your brand.
- White-Label AI
- FERPA-Aware
- SLED-Ready
- Your brand, our engineering
SISLMSEnrolmentParent comms AdviseCited answersEnrolDocs chasedRecordTranscriptsSupportEscalation
Student Ops
Live What we build
4 commitments, 1 senior bench.
Every education build ships against the same four constraints — no exceptions for demos or deadlines.
White-label, your brand
Your brand, your contract with the institution, our engineering behind yours. The feature ships as part of your product, not a bolt-on.
Proof layer Vendor-facing terms in writing before the first sprint.
Assistants that cite the source
Advising and tutoring assistants answer over your own content and cite where the answer came from. Anything sensitive routes to a person, every time.
Proof layer Escalation rules and transcripts reviewable by your institutional buyers.
Senior engineers, weekly demos
A named senior lead owns the outcome. You see working software weekly, not a status deck monthly — scoped to ship this academic year.
Proof layer Senior review on every merge; 30-day exit on embedded pods.
Integration reality
Student information systems Learning management platforms Enrolment and records systems Communication channels
Where it pays back
The admin patterns we see across education.
- Workflow · 01
Advising capacity is capped by headcount
Students wait days for answers that are already documented somewhere.
Advising assistants over your own content, citing the source
- Workflow · 02
Enrolment operations run on chasing
Applications stall waiting on documents nobody has time to request.
Enrolment workflow automation with human gates
- Workflow · 03
Records requests are handled by hand
Transcripts and verifications processed manually at peak.
Records and workflow automation into the system of record
Use cases
Where education platforms put us to work.
Eight workflows where white-label AI pays back first — each scoped, evaluated, and capped before it touches production.
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Advising assistants
Student questions answered over your own documented content, citing the source — instead of waiting days on a queue.
Platforms serving stretched advising teams -
Tutoring support
Course-aware tutoring help built into your product, grounded in your institution’s materials, never open internet.
LMS and courseware vendors -
Enrolment operations
Applications tracked, missing documents requested automatically, and human gates on every decision.
Admissions workflows run on chasing -
Records & transcripts
Transcript and verification requests processed into the system of record instead of by hand at peak.
Registrar-facing platforms -
Parent & student comms
Reminders, updates, and answers across the channels families actually use — logged back to the SIS.
K-12 platforms and school systems vendors -
SIS / LMS integration
Student information systems, learning platforms, and enrolment tools connected through APIs — so staff stop re-keying data.
Multi-system institutions -
Student progress analytics
Engagement and progress signals surfaced beyond traditional grading, on a dashboard staff actually open.
Leaders flying blind on outcomes -
After-hours student support
24/7 answers to documented questions, with anything sensitive escalated to a person with full logging.
Institutions without a night shift
Case studies
Proven solutions. Real-world impact.
How our teams solve academic-administration and student-support problems through strategy, engineering, and innovation.
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1 platform for the whole school AI-Powered School Management System
A FastAPI and Next.js platform with RAG-powered analytics uniting admins, teachers, and parents on one system for scheduling, records, and communication.
Read story -
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Cited answers over your content AskTiz – Internal AI Knowledge Assistant for Slack
A RAG assistant that answers questions over an organisation’s own documented content and cites the source — the same pattern behind our advising assistants.
Read story -
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24/7 availability Voice AI Appointment Booking Assistant – what we built n8n & ElevenLabs
A RAG-powered voice agent answers questions, checks availability, and books appointments without front-desk staff — the intake pattern enrolment teams need.
Read story -
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Human on every escalation AI-Driven Customer Support Automation
AI support automation that resolves documented questions and escalates the rest to a person — the model behind after-hours student support.
Read story -
Capabilities
6 service lines, 1 senior bench.
Six connected capabilities, delivered as one seamless service.
See full capability matrix →AI consulting and readiness
A build decision in 2 weeks, not a slide deck.
AuditUse-case scoringRoadmap
Explore AI readiness Agentic engineering
Agents with evaluations, approval gates, cost ceilings, and a full audit trail.
RAGTool useVoiceGovernance
Explore agentic engineering Forward deployed engineering
A named senior engineer inside your team, owning an outcome.
EmbeddedWeekly demoNamed lead
Explore forward deployed engineering Custom software, web and mobile
Specification first, AI-assisted, senior review on every merge.
Next.jsNestJSFlutterReact Native
Explore custom software Automation and systems
Workflows wired and instrumented, with the payback counted.
n8nMakeCRMBack office
Explore automation Data and platform
Pipelines and lineage your AI can actually rely on.
WarehouseETLLineageObservability
Explore data & platform FAQ
The questions institutional buyers ask first.
Straight answers before the first call. If yours is not here, ask it on the call — we answer the hard ones first.
Ask the hard one How is FERPA handled?
Data minimisation, access controls, retention rules, and a written data map built for institutional review.
What are the white-label terms?
Your brand, your contract with the institution, our engineering behind yours.
Do you sell to districts directly?
No. Vendors and platforms here. Districts are served through prime contractors on the SLED track.
Can the assistant answer from the open internet?
No. Advising and tutoring assistants are grounded in your own content and cite the source of every answer. Anything outside that scope escalates to a person.
How fast can a white-label feature ship?
We scope to what ships this academic year. A readiness sprint against your stack comes first, then working software in weekly demos — not a status deck monthly.
Start the conversation
ShipAIfeatures
without the hiring search
Tell us which white-label feature your buyers are asking for. We will map what ships this academic year.
30 minutes the engineer who leads delivery no deck, no pitch