IDEalyze
Every seat in your department, one click from the real thing.
Run your courses through a white-labeled environment that carries your university's brand, not ours. Students click a link from your syllabus or campus systems and land inside a full professional IDE with the week's materials already mounted. Livestream lectures with recording built in. Compute sized per lesson: the regression lab gets a light machine, the MCMC session gets a heavy one, and the meter only runs while class does.
No installs, no version drift, no "works on my machine." Forty students, forty identical environments, zero faculty IT tickets.
Admins tune CPU and memory per lesson from the portal. Heavy weeks scale up, light weeks scale down, and you approve the numbers.
Every project downloads with its environment definition. Coursework reproduces a year later, anywhere. Accreditation reviewers love this.
Launch a data science + AI program next month. Without hiring anyone.
A complete turnkey system: curriculum, live session formats, and professional coding environments that set themselves up before students sit down. Desks provision automatically for your Saturday cohort. Recordings archive for every family. Your center's brand on every screen. You sell the program; the infrastructure runs itself.
A workshop room where every attendee is coding in ninety seconds.
Provision a room of forty, or a hall of four hundred. Every attendee scans a badge or clicks a link and lands in an identical, fully loaded environment with the workshop's materials mounted. No conference wifi roulette with installs. No "raise your hand if pip failed." When the session ends, everything spins down and every attendee keeps their notebook and lock file. Burst compute for one day, billed for one day.
Reproducible environments for the whole lab. Compute that matches the problem.
Onboard a new PhD student into the lab's exact stack in one click, pinned to the versions your papers were built on. Scale a 64-core environment for the estimation run, drop back to a laptop-class machine for writing week. Train your team on new methods inside the same environments they research in, with the LMS reading from your sessions to build trainings around what your people actually do.
Teach like an institution. Overhead of a laptop.
One tutor, one student, one click: a private session environment with your lesson loaded, screen-share ready, recorded if you want it. Build your course once and every student who ever takes it gets the same professional setup, for cents per session. The production quality of a university program, priced for a person.
The IDEs keep getting better.
Good. That's our supply chain, not our competition.
The free desktop tools keep getting genuinely great: modern IDEs now ship notebook editors, environment management, and AI assistance out of the box. All of it solves the problem of one person on one laptop. Your program is not one person on one laptop. It's a department, a cohort, a workshop hall, a lab, and the moment you multiply by N, a different set of problems owns your week: distribution, orchestration, compute, identity, billing, and brand. That's the layer IDEalyze is.
A modern IDE on a student's machine still means 85 students installing, 85 chances for version drift, and a GPU ceiling equal to whatever laptop their parents bought. The better the IDE gets, the more it deserves better delivery.
IDEalyze hands that same professional IDE to every enrolled seat through a browser link: pre-provisioned, materials mounted, versions pinned, nothing installed. The instrument got better; we staff the orchestra.
Pick the machine per lesson from the admin portal: a light droplet for the intro lab, 64 vCPU for the estimation run, burst seats for a 400-person workshop. Scale up for the biggest training task, down for the smallest, and pay only while it runs.
Rosters, livestream, recordings, session transcripts feeding the LMS, per-session billing, and your brand out front. No IDE release will ever ship your program. That's the product.
You could stitch this together yourself.
Here's what that actually costs.
Great IDE, one laptop at a time (+ Colab, Jupyter servers, spreadsheets, hope)
- Blank notebooks that evaporate when the session dies, taking student work with them
- Stripped-down consoles that exist nowhere in industry, so everything must be relearned
- One-size compute: the intro lab and the deep learning session get the same machine
- Setup week, every course, every cohort: installs, version drift, IT tickets
- Rosters in one tool, materials in another, recordings in a third, grades in a fourth
- Idle servers billing around the clock, or free tiers that throttle mid-lecture
- Your instructors doing DevOps instead of teaching
IDEalyze: the whole program, provisioned
- Fully provisioned professional environments, the same IDEs used in industry, identical for every seat
- One click from any browser, any laptop, no installs ever
- Compute tuned per lesson from an admin portal, billed only while sessions run
- Materials, rosters, livestreams, recordings, and environments in one system that talks to itself
- Session transcripts feed the LMS, so trainings build on what learners actually did
- Lock files on everything: reproducible coursework, reproducible research
- White-label multi-tenant: your brand out front, our infrastructure underneath
Describe the class. We build the room.
Plain language: the topic, the headcount, the schedule. Drop in your materials or start from ours.
Compute is sized to the workload, materials mount to every seat, and your branding wraps the whole thing.
Learners are one click away. Livestream if you're live; every session archives with its environment.
Files and lock files drop to every learner. Meters stop. Nothing left running, nothing left to pay for.
One system that reads a course
and builds what teaches it.
Source code, notes, transcripts, data and reading go in. Working lessons, runnable practice and interactive worlds come out, every claim checked against the material it came from.
Twenty minutes.
Your use case, live.
Bring a course, a cohort, a workshop, or a lab. We'll provision it in front of you.
