AI Solutions for EdTech Companies
Most EdTech teams stall when FERPA and COPPA reviews collide with LMS procurement timeline, leaving long-planned AI roadmaps stranded inside compliance-review limbo.
TRUSTED BY CONGLOMERATES, ENTERPRISES, AND STARTUPS ALIKE
AI Services We Build for Real EdTech Production Pipeline
Most EdTech AI stalls during procurement. Kodexo Labs ships FERPA-native and COPPA-native builds straight into live classrooms, architected around LTI 1.3 and the EU AI Act from day one, so your demo-winning architecture survives production deployment.
Agentic AI and Multi-Agent Systems
Stateful tutoring agents and teacher copilots built on LangGraph, with learner memory that holds across a full course, not just a single chat. Multi-agent flows route between Socratic prompts, direct teaching, and live human review on their own, with FERPA-safe logs on each of the actions agents take inside the platform.
AI-powered products shipped
Learners served by Teacher AI
Compliant build standard
AI Systems Built for Every EdTech Learning or Operational Need
EdTech teams deploy AI for tutoring, voice language practice, assessment, content, and retention analytics. Kodexo Labs ships each workload on GPT-4o, Claude, Whisper, and ElevenLabs, wired into Canvas and Moodle via LTI 1.3, with FERPA and COPPA from day one.
Healthcare AI Builds That Shipped and Are Still Running Today
Diesel Laptops (Inc. 5000)
Fleet technicians were spending more time searching repair records than fixing trucks. Kodexo Labs built a self-hosted AI search system on AWS VPC that answers queries across 160,000 records in seconds.
85%
Search Time Reduction
160,000+
Repair Records Indexed
12 Weeks
Build to Production
Extensiv (Inc. 5000)
Extensiv's operations team waited on engineering for every data question. Kodexo Labs built an agentic LangGraph system that answers plain-English queries across 4 databases at 90%+ SQL accuracy.
90%+
SQL Accuracy
207
Tables
04
Databases
Teacher AI - Edtech Platform
Personalised tutoring had never scaled affordably. Kodexo Labs built Teacher AI to give every student a tutor in their native language, on demand. The in-house product now generates $5M+ in revenue.
50,000+
Users
30+
Countries
$5M+
Revenue
SmartMedHx (HIPAA-compliant)
Clinicians were losing nearly an hour daily to manual note-taking. Kodexo Labs built a HIPAA-compliant system that captures the patient interview and writes the clinical note automatically.
42
Providers
493
Patient Interviews
40%
Faster Interview Cycles
Sell The Trend
Sellers were typing keyword guesses and missing the products they wanted to source. Kodexo Labs rebuilt the visual-search engine so a single photo returns the right match instantly.
92%
CV accuracy (up from 65%)
88%
Speed Improvement
We hold each Kodexo EdTech build to these standards before it ever ships into real learner hands.
Compliance controls are built into the stack in Sprint 1, not bolted on after QA. Access logs, consent flows, data residency, and minimised defaults all ship at launch, plus a dossier.
LMS-Native Integration
LTI 1.3, OneRoster, SCORM, and xAPI are built natively for Canvas and Moodle, so procurement checklists clear at first review. Deep linking and roster sync run out of the box smoothly.
Voice AI at Sub-Second Latency
Whisper, ElevenLabs, Deepgram and LiveKit run a live voice stack in seven languages in Teacher AI. Scoring, barge-in and turn-taking are all tuned to real learner use, not an old demo.
EU AI Act High-Risk Coverage
Annex III and Article 6 docs, risk files, oversight controls, and conformity proof ship with a build. We treat educational AI as high-risk by default, so evidence is ready for reviews.
Production-Grade EdTech Release Standards
We hold each Kodexo EdTech build to these standards before it ever ships into real learner hands.
FERPA and COPPA by Design
Compliance controls are built into the stack in Sprint 1, not bolted on after QA. Access logs, consent flows, data residency, and minimised defaults all ship at launch, plus a dossier.
LMS-Native Integration
LTI 1.3, OneRoster, SCORM, and xAPI are built natively for Canvas and Moodle, so procurement checklists clear at first review. Deep linking and roster sync run out of the box smoothly.
Compliance by design, not retrofit.
FERPA, COPPA, GDPR, plus EU AI Act Annex III controls are scoped in Sprint 0, built in Sprint 1. A full compliance dossier ships with release one, so district legal has evidence ready.
EdTech Companies We Work With
Kodexo Labs serves the full EdTech spectrum, from K-12 classroom platforms to corporate training providers, with compliance and LMS integration wired in across every segment.
Why Choose Kodexo Labs as Your Trusted EdTech AI Implementation Provider
Generic AI shops learn EdTech on your budget. We bring patterns drawn from real classroom builds, real procurement cycles, and the real compliance work already done.
[1]
We built the product, not just the pitch.
Teacher AI is a product we built, not a deck we pitched. It serves 50,000+ learners across 30+ countries in seven languages, so each build choice here is now proven in real production.
[2]
PhD-level research on every build.
Research comes from a PhD Scholar, FAST-NUCES, who steers model picks, eval, and prompt work on each build. That rigor shows up in the code, borne out by our 94% client retention rate.
[3]
Compliance by design, not retrofit.
FERPA, COPPA, GDPR, plus EU AI Act Annex III controls are scoped in Sprint 0, built in Sprint 1. A full compliance dossier ships with release one, so district legal has evidence ready.
[4]
LMS-native integration depth that closes procurement.
LTI 1.3, OneRoster, SCORM, and xAPI go native to Canvas and Moodle, with write-back, deep links, and roster sync live on test one. So each line on a procurement list is answered first.
The Tech Stack Behind Clinical AI That Ships
These are the tools we actually use in production healthcare builds. Not a marketing capability list, just the stack our engineers reach for on day one of a new project.
How We Engineer Compliant Clinical AI Platforms
A predictable process is itself a compliance asset in regulated healthcare. Every step produces the documentation a future audit will require.
Discovery and Scoping
Clinical workflow mapping with the practitioners who use the system daily. Interviews span clinical, IT, and compliance, plus an audit of EHR integrations and data sources. The output is a written requirements specification covering every compliance obligation.
Architecture and Compliance Design
System architecture, data flow diagrams, encryption planning, and API contracts are developed collaboratively in parallel. We identify the compliance frameworks: HIPAA and HITECH always, FDA wherever a device is involved, SOC 2 wherever the buyer requires this.
Agile Build and Integration
Sprint-based delivery on a two-week cadence with weekly clinician demos. HL7/FHIR integration and EHR connector work runs in parallel with the model training. Decisions are documented in plain English, so compliance and clinical teams remain aligned throughout.
Compliance and QA Review
HIPAA audit trail validation, penetration tests, access control checks, and FDA software validation where applicable. Independent QA runs against the step one specification. No release ships until every compliance gate passes and the evidence is captured first.
Launch and Live Monitoring
Production deployment with SLA-backed uptime targets and real-time monitoring dashboards. Inference quality, latency, and error rates are tracked from minute zero. Retraining cadence is set in the contract, not left to chance. Support matches the build cadence.
Frequently Asked Questions
A healthcare AI development company builds the production software that runs clinical AI in real environments. That includes documentation AI, diagnostic decision support, ambient voice AI, EHR integrations, and medtech device software. Each build is engineered for HIPAA, HITECH, and HL7/FHIR from the first sprint.
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