Adaptly — AI-native adaptive learning for ML engineering educationAdaptly — apprentissage adaptatif AI-native pour l'ingenierie MLAdaptly — AI-native adaptives Lernen fur ML EngineeringAdaptly — AI-native адаптивное обучение для ML engineering
Adaptly is an AI-native online platform for ML engineering education — adaptive paths, code labs, AI mentor, and analytics in one product loop. 20 companion labs, 4 languages, global reach. Actively building; learner rollout next.Adaptly est une plateforme en ligne AI-native pour l'ingenierie ML — parcours adaptatifs, labs code, mentor IA et analytics dans une boucle. 20 labs, 4 langues, portee mondiale.Adaptly ist eine AI-native Online-Plattform fuer ML Engineering — adaptive Pfade, Code-Labs, AI-Mentor und Analytics in einer Loop. 20 Labs, 4 Sprachen, globale Reichweite.Adaptly — AI-native online-платформа для ML engineering: adaptive paths, code labs, AI mentor и analytics в одном loop. 20 labs, 4 языка, global reach.
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Investor pitchPitch investisseurInvestor-PitchInvestor pitch
The problemLe problemeDas ProblemПроблема
Millions of people want to become ML and AI engineers — not to watch another video course, but to ship production-ready work. Today they bounce between generic catalogs (Coursera, YouTube), isolated notebooks, and interview prep with no single loop that proves skill: read → practice → write code → get review → see what to fix next. Companies cannot tell who can actually build. Learners cannot tell what to do tomorrow.Des millions de personnes veulent devenir ingenieurs ML/IA — pas regarder un autre cours video, mais livrer en production. Aujourd'hui elles sautent entre catalogues generiques, notebooks isoles et prep entretien sans boucle unique qui prouve la competence.Millionen wollen ML- und AI-Ingenieure werden — nicht noch einen Videokurs schauen, sondern produktionsreif liefern. Heute springen sie zwischen generischen Katalogen, isolierten Notebooks und Interview-Prep ohne eine Schleife, die Skill beweist.Millions want to become ML/AI engineers — not watch another video course, but ship production-ready work. Today they bounce between generic catalogs, isolated notebooks, and interview prep with no loop that proves skill.
Who we serve — millions, not a billionQui nous servons — des millions, pas un milliardWen wir bedienen — Millionen, nicht eine MilliardeКого обслуживаем — millions, not a billion
We are deliberately global but not "everyone on Earth." Our addressable market is the millions of serious learners worldwide who want ML engineering careers: career switchers, book readers, university complements, and teams upskilling for AI. We start narrow — ML engineering — because depth and proof-of-skill beat another horizontal course catalog. Expansion means more career tracks on the same engine, not teaching random subjects to maximize headcount.Nous visons des millions d'apprenants serieux mondiaux qui veulent une carriere en ingenierie ML — pas "toute la planete". Entree etroite, profondeur et preuve de competence avant un catalogue horizontal.Wir adressieren Millionen ernsthafter Lerner weltweit, die ML-Engineering-Karrieren wollen — nicht "alle Menschen". Enger Einstieg, Tiefe und Skill-Nachweis vor horizontalem Katalog.Global, but not everyone on Earth. Millions of serious learners who want ML engineering careers. Narrow entry, depth and proof-of-skill — not a horizontal catalog for headcount.
What Adaptly is — and is notCe qu'Adaptly est — et n'est pasWas Adaptly ist — und nicht istWhat Adaptly is — and is not
Adaptly is an AI-native engineering trainer: adaptive paths, code labs, AI mentor, and learning analytics in one loop. We are not another Coursera. We do not chase billions of casual learners. We do not sell certificates for watching videos. We sell progression toward professional ML practice and AI engineering with evidence — submissions, code checks, weak spots, next actions.Adaptly est un entraineur d'ingenierie AI-native : parcours adaptatifs, labs code, mentor IA, analytics — une boucle. Pas un autre Coursera. Pas de certificats pour avoir regarde des videos.Adaptly ist ein AI-nativer Engineering-Trainer: adaptive Pfade, Code-Labs, AI-Mentor, Analytics — eine Loop. Kein weiteres Coursera. Keine Zertifikate fuers Video-Schauen.AI-native engineering trainer: adaptive paths, code labs, mentor, analytics in one loop. Not Coursera. Not certificates for watching videos.
Curriculum stackStack curriculumCurriculum-StackCurriculum stack
Gateway (on-ramp): Python and Software Foundations — only where the learner needs them to enter the ML loop; adaptive, not a standalone "learn Python" catalog. Core: ML engineering — book companion labs, system thinking, production discipline. Growth: RAG, agents, eval harnesses, and production ML (including MLOps-style monitoring, rollout, and reliability) — already on our roadmap as engineering depth, not a separate random course. One engine, multiple career phases — onboarding → practice → portfolio.Passerelle : Python et fondations logicielles si necessaire. Coeur : ingenierie ML. Croissance : RAG, agents, eval, ML production et MLOps integres — pas un catalogue separe.Einstieg: Python und Software Foundations bei Bedarf. Kern: ML Engineering. Wachstum: RAG, Agents, Eval, Production ML inkl. MLOps — integriert, kein separater Katalog.Gateway: Python & Software Foundations on-ramp. Core: ML engineering. Growth: RAG, agents, production ML + MLOps integrated — not a separate catalog.
How we compete on foundationsComment nous competons sur les fondationsWettbewerb bei FoundationsHow we compete on foundations
We do not try to out-Coursera Python bootcamps on breadth. Foundations live inside Adaptly's adaptive loop: the mentor and code checker see your gaps and route you — five tasks or fifty, depending on the learner. Competitors sell content hours; we sell measured progress toward ML engineering outcomes. The moat is the loop (path + code + mentor + proof), the manual IP, and cohort-ready analytics — not another Python 101 playlist.Nous ne concurrencions pas les bootcamps Python sur le volume. Les fondations sont dans la boucle adaptative : mentor et checks voient les lacunes et routent l'apprenant. Les autres vendent des heures de contenu ; nous vendons une progression mesuree vers l'ingenierie ML.Wir konkurrieren nicht mit Python-Bootcamps auf Breite. Foundations leben in der adaptiven Loop: Mentor und Code-Checks sehen Luecken und routen. Andere verkaufen Content-Stunden; wir verkaufen messbaren Fortschritt Richtung ML Engineering.We don't out-Coursera Python bootcamps on breadth. Foundations inside the adaptive loop — mentor and code checks route each learner. Competitors sell content hours; we sell measured progress toward ML engineering.
Personal learning agentAgent d'apprentissage personnelPersoenlicher Lern-AgentPersonal learning agent
Adaptly is not another ChatGPT tab. ChatGPT is free but gives the same answer to everyone. In product today: a 1-on-1 mentor loop wired to the real task list — native labs and code tasks, three modes (Hint, Guide me, Formula), and a private learning dossier that narrows the next recommendation. Roadmap (not shipped as product proof yet): named agent layer (“Athena”), MCP task graph, and deeper LLM orchestration. Formation goal matters; demographics do not.Pas un autre onglet ChatGPT. Aujourd'hui : boucle mentor 1-1 sur les vraies taches, trois modes, dossier prive. Feuille de route (pas encore preuve produit) : couche agent « Athena », graphe MCP, orchestration LLM plus profonde.Kein weiteres ChatGPT-Tab. Heute: 1-1-Mentor-Loop an echte Aufgaben, drei Modi, privates Dossier. Roadmap (noch kein Product-Proof): Agent-Schicht „Athena“, MCP-Task-Graph, tiefere LLM-Orchestrierung.Не ещё одна вкладка ChatGPT. Сейчас: mentor loop 1-1 на реальных задачах, три режима, private dossier. Roadmap (ещё не product proof): слой агента «Athena», MCP task graph, более глубокая LLM-оркестрация.
Why the niche is a featurePourquoi la niche est un atoutWarum die Nische ein Vorteil istWhy the niche is a feature
Angels ask about TAM. Our answer: the wedge is narrow (ML engineering trainer), the engine is reusable (adaptive learning for any engineering track), and the adjacent markets are large — AI upskilling, enterprise teams, global career switchers, RAG/agent engineering. We expand by depth and adjacent engineering tracks, not by becoming a generic LMS. First revenue: book readers, paid beta, team packs for upskilling — then scale what already works.Coin etroit (trainer ingenierie ML), moteur reutilisable, marches adjacents larges. Expansion par profondeur et tracks adjacents — pas un LMS generique.Enger Keil (ML-Engineering-Trainer), wiederverwendbare Engine, grosse angrenzende Maerkte. Expansion durch Tiefe und angrenzende Tracks — kein generisches LMS.Narrow wedge (ML engineering trainer), reusable engine, large adjacent markets. Expand by depth and adjacent tracks — not a generic LMS.
Product proofPreuves produitProduktnachweiseДоказательства продукта
LeadershipEquipe dirigeanteFuehrungsteamКоманда
Three co-founders — ML engineering, brand & community, global EdTech operations.Trois co-fondateurs — ML engineering, brand & communaute, operations EdTech mondiales.Drei Co-founder — ML Engineering, Brand & Community, globale EdTech-Operations.Три co-founder — ML engineering, brand & community, global EdTech operations.
Co-founder, ML Engineering & Product SystemsCo-fondateur, ML Engineering et systemes produitCo-founder, ML Engineering und Produkt-SystemeCo-founder, ML Engineering и product systems
Olympiad-level competitive programmer; product systems and code practice loops.Programmeur competitif niveau olympiade ; systemes produit et boucles de pratique code.Wettbewerbsprogrammierer auf Olympiad-Niveau; Produkt-Systeme und Code-Practice-Loops.Olympiad-level competitive programmer; product systems и code practice loops.
Co-founder, Onboarding, UX & BrandCo-fondatrice, Onboarding, UX et marqueCo-founder, Onboarding, UX und MarkeCo-founder, онбординг, UX и бренд
Leads learner onboarding, interfaces, brand and advertising.Dirige onboarding, interfaces, marque et publicite.Verantwortet Onboarding, Interfaces, Marke und Werbung.Онбординг, интерфейсы, бренд и реклама.
Co-founder, Head of project & businessCo-fondateur, chef de projet et businessCo-founder, Projektleitung und BusinessCo-founder, глава проекта и бизнес
Leads project direction, partnerships and business scale.Dirige le projet, les partenariats et le scale business.Verantwortet Projektrichtung, Partnerschaften und Business-Scale.Направление проекта, партнёрства и бизнес.
Manual companion IPIP manuel compagnonManual-Begleiter-IPIP manual companion
Machine Learning: Manual for the Next Generation — 20-chapter companion curriculum with linked code labs at adaptlyapp.dev/labs/
Machine Learning: Manual for the Next Generation — Curriculum compagnon 20 chapitres avec labs code lies sur adaptlyapp.dev/labs/
Machine Learning: Manual for the Next Generation — 20-Kapitel-Begleiter-Curriculum mit verknuepften Code-Labs unter adaptlyapp.dev/labs/
Machine Learning: Manual for the Next Generation — 20-главный companion curriculum со связанными code labs: adaptlyapp.dev/labs/
For event organisers & partnersOrganisateurs d'evenements et partenairesFuer Veranstalter und PartnerДля организаторов и партнёров
Media kit: logo PNG, product overview, team bios. Global online ML engineering education — adaptive paths, code discipline, AI mentor.Kit media : logo PNG, apercu produit, bios equipe. Education ML en ligne mondiale — parcours adaptatifs, discipline code, mentor IA.Media-Kit: Logo PNG, Produktueberblick, Team-Bios. Globales Online-ML-Engineering — adaptive Pfade, Code-Disziplin, AI-Mentor.Media kit: logo PNG, overview продукта, bios команды. Global online ML engineering — adaptive paths, code discipline, AI mentor.