01
Learning management systems
Custom LMS or LMS-tethered apps for K-12, higher-ed, and adult learning. Integrated with SIS, assessment, and the parent-facing experience parents actually use.
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Industry
Education & EdTech.
Learning management systems, AI tutoring, assessment, student information systems, and cohort analytics — engineered against FERPA, COPPA, GDPR-K, and the operational reality K-12, higher-ed, and adult-learning EdTech actually runs on.
- FERPA
- Aligned
- COPPA
- Compliant
- GDPR-K
- Aware
- WCAG 2.2 AA
- Default
The landscape
EdTech fails when it treats learners as a generic SaaS user base — they aren’t.
The pattern across EdTech engagements: a beautiful learning experience that doesn't integrate with the SIS, the LMS, or the assessment platform schools already run; an AI tutoring feature that wasn't validated against actual learning outcomes; a student data architecture that conflates K-12 minor data with adult learner data; an accessibility posture deferred to a final audit; and a parent-facing experience that wasn't designed at all. Education engineering succeeds when the regulatory frame, the institutional integrations, and the learner experience are all primary scope.
Prosigns ships EdTech with FERPA, COPPA, and accessibility as engineering primitives, not check-boxes. Integrations with major SIS / LMS platforms (PowerSchool, Infinite Campus, Canvas, Blackboard, Schoology) as primary scope. AI tutoring designed against actual learning outcomes with explicit eval. Parent-facing experiences engineered for the audience that actually uses them. CITADEL co-pilots regulatory frame; CANVAS owns accessibility-first design.
Where we ship
6 workloads, grounded in this sector.
Specific applications we’ve built and operated for education & edtech buyers. Every example below is grounded in a real shipped engagement.
- 02
AI tutoring and assessment
Adaptive tutoring grounded in pedagogical research, formative and summative assessment, plagiarism / AI-detection, and the eval discipline that validates against real learning outcomes.
- 03
Student information systems
SIS modernization or extension, with explicit data contracts to LMS, assessment, and reporting platforms. FERPA-aligned audit trails on every access.
- 04
Cohort and outcomes analytics
Predictive analytics for retention, intervention, and success — calibrated against demographic equity and explicit ethical guardrails.
- 05
Content and assessment authoring
Content authoring platforms, assessment item-banks, accessibility-first interactive content, and the integration with downstream LMS / assessment platforms.
- 06
AI for accessibility
Real-time captioning, alternative-format generation, voice navigation, and assistive AI — engineered to WCAG 2.2 AA and the assistive-technology testing real users actually use.
How we engage
4 phases, named in the SOW.
Each phase has a deliverable, an owner, and an acceptance criterion specific to education & edtech delivery.
- 01
Regulatory and institutional fit
Discovery includes FERPA scope, COPPA applicability, GDPR-K where international, accessibility frame, and the institutional integration surface (SIS, LMS, assessment, parent gateway). Architecture decisions land against this frame in writing.
- 02
Pedagogical eval discipline
AI features in education require eval against actual learning outcomes — not against engineering convenience metrics. We build outcome-aware eval datasets with subject-matter experts and run them in CI on every prompt or model change.
- 03
Accessibility-first engineering
WCAG 2.2 AA conformance designed in, not audited at the end. Assistive-technology testing on every release gate. Captioning, alternative formats, and language accessibility integrated into the content pipeline.
- 04
Operating discipline for academic rhythms
Academic-calendar-aware operating cadence. Pre-term readiness reviews, mid-term performance triage, post-term retrospective. Most engagements continue under Managed Services through multiple academic cycles.
Practices in education & edtech
How each practice plays in this sector.
The capabilities below are scoped to the constraints education & edtech procurement actually enforces — compliance, audit, data residency, and vendor risk.
- 01CORTEX
AI & Machine Learning
Generative AI, agents, computer vision, predictive analytics, and MLOps — engineered for production.
Open the practiceIn Education & EdTech
Adaptive tutoring, assessment, accessibility AI, and outcomes prediction — with pedagogical eval and equity-aware design.
- 02FORGE
Custom Software
SaaS, enterprise applications, legacy modernization, integrations, and mobile.
Open the practiceIn Education & EdTech
LMS, SIS extensions, content authoring, parent gateways — engineered against FERPA / COPPA and institutional integrations.
- 03CANVAS
Design & UX
Research, design systems, enterprise product design.
Open the practiceIn Education & EdTech
Learner-, parent-, and educator-facing UX design with WCAG 2.2 AA conformance and pedagogical research grounding.
- 04GUARDIAN + CITADEL
Quality & Security
Test automation, performance, accessibility, application security, secure SDLC.
Open the practiceIn Education & EdTech
FERPA / COPPA evidence pipelines, accessibility audits, and the security posture institutional procurement actually evaluates.
Selected work
Quantified outcomes, not adjectives.
Common questions
Asked before the first call.
- 01
How do you handle FERPA?
FERPA is engineered into the architecture — access logs on every PII-touching endpoint, role-aware redaction, audit-defensible educational-record handling, and the institutional procurement support documents that survive customer security review. CITADEL co-pilots every K-12 and higher-ed engagement.
- 02
What about COPPA for K-12 products?
COPPA-compliant by design for sub-13 audiences — verifiable parental consent, data minimization, and the audit trail FTC enforcement requires. We design product flows that don't accidentally collect data outside what consent covers.
- 03
Can you integrate with PowerSchool / Infinite Campus / Canvas / Blackboard?
Yes — major SIS / LMS platforms in our active engagement portfolio. LTI 1.3, OneRoster, custom REST integrations, and Ed-Fi standards where applicable. We design integrations as primary scope with documented contracts.
- 04
How do you validate AI tutoring against actual learning?
Eval datasets curated with subject-matter experts, outcome-tied success metrics (course completion, mastery, retention), and explicit guardrails against gaming the metrics. We tell you when an AI feature is producing engagement without producing learning.
- 05
Do you do international EdTech (GDPR-K, regional variants)?
Yes — GDPR Article 8 (children), UK ICO Children's Code, EU Digital Services Act applicability, and the data-residency frame international EdTech requires. Region-aware architecture from day one.
- 06
What does an EdTech engagement cost?
Discovery: 3–5 weeks, $40K–$100K. LMS or SIS extension: 5–9 months, $300K–$1M. AI tutoring platform: 6–10 months, $400K–$1.2M. Multi-product education programs: $1M–$3M. Managed Services: $25K–$120K monthly retainer.
Talk to us
Bring a education & edtech problem. We’ll bring a senior engineer.
A senior engineer plus the relevant department lead joins the first call. No discovery gauntlet, no junior reps.