Kompact AI EBox brings full-scale AI inference to universities, research labs, and schools. Run text, speech, vision, and multimodal AI on the hardware you already own. No cloud dependencies. No IT overhead. No added power draw. On-prem, cloud, workstation, or laptops. Up and running in minutes.
Students build with AI
Real deployment experience, working with real models on real infrastructure.
Student and research data stays yours
Every input, output, and interaction log stays within your environment. Complete ownership of your IP, research, and custom projects, no third-party access, ever.
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Runs on any CPU you already own
Intel, AMD, or ARM, on your laptop, lab workstation, campus server, or cloud instance. No new hardware, no specialised setup.
Compliant by design
Built to align with FERPA, DPDP, GDPR, and institutional data governance policies. AI that works within your compliance framework, not around it.
Most universities today teach AI by giving students access to cloud APIs. Students send a query, get a response. That's not building with AI. That's using it.
Real AI skills comprise running models, managing deployments, and owning your stack. Most students never get there. Blocked by cloud costs, internet dependencies, and IT dependencies.
EBox puts the actual infrastructure on campus. On hardware you already own. Available to every student, every researcher, from day one. No cloud bill. No data leaving the premises. No waiting on IT.
New to EBox? These videos cover the full picture - what EBox is built for, what it can do,
and how to put it to work. A good watch before you write a single line of code.
EBox runs text, speech, vision, and multimodal models, on-premise, on cloud, or on edge, all
configurable to your institution's workflows.
Move beyond calling APIs. Students run real models, tune inference, manage deployments, and build applications on AI infrastructure all on campus.
e.g. A final-year project team deploys a fine-tuned NLP model on the campus server, no cloud account, no per-token cost.
Sensitive research datasets (medical, behavioural, linguistic) never leave the institution. Run AI on your research data without exposing it to external services or third-party terms of service.
e.g. A public health research team processes patient survey data entirely on-premise, in full compliance with institutional review requirements.
Deploy models that work in the languages students actually speak. EBox supports multilingual inference, making AI tools accessible regardless of language of instruction or regional background.
e.g. A university deploys a model supporting student queries in Tamil, Hindi, and English simultaneously.
Summarise papers, extract findings, analyse datasets, and generate structured research outputs, entirely within the university's secure environment.
e.g. PhD researchers summarise 200 papers for a systematic literature review using EBox, with all document data remaining on the university premises.
Serve multiple departments, faculties, and student bodies from a single EBox deployment using built-in multi-tenancy, each with isolated access and its own usage visibility.
e.g. Engineering, Law, and Medical faculties each access dedicated model instances from one deployment.
From first install to production deployment, every step is walked through videos.
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EBox is tailored and configured for academia. Every capability carries the same privacy and performance guarantees.
Works on Intel AMX, AVX-512, ARM SVE, and AMD processors. No specialised hardware. NUMA-aware for multi-socket systems.
Traditional AI teaching relies on cloud APIs that cost money every time a student runs a query. EBox eliminates these dependencies. No metered billing, no internet dependency.
Student queries, submissions, and interaction logs stay within the institution. EBox never sends student data to Kompact AI or any external service.
Deploy AI in multiple languages to serve diverse student populations. Select from models that support regional and international languages - no additional configuration required.
Serve engineering, science, humanities, and administration from a single deployment with built-in JWT-based access isolation. Each faculty gets its own access and usage visibility.
Real-time AI responses for triage, imaging, and live clinical workflows.
Students and developers build using the same API patterns used in industry. OpenAI-compatible REST APIs and SDKs in Java, C#, Python, JavaScript, TypeScript, Kotlin, C++, and Rust.
No new load on the grid, no new energy budget required.
Free AI course co-developed with IIT Guwahati and Ziroh Labs, rooted in the mission of AI for ALL. Course content is free to the public. Formal certification available for ₹1,200. Launching August 2026.
Monthly hybrid forum for 15 founders and developers. Each session deconstructs a real-world AI use case with a guest practitioner. Starts August 2026.
A quarterly hackathon series spanning 500+ institutions and every premier engineering college in India. Designed to bridge the gap between academic theory and real-world AI practice. First edition: July 2026.
Monthly virtual seminar series exploring the mathematics and science behind LLMs. Expert-led deep dives for the research-driven community. Debuts September 2026.
Open to Hardware OEMs, LLM OEMs, Device OEMs, System Integrations and ISVs. Build on, bundle, and extend SBox.
API access teaches students to use AI as a service. EBox teaches them to run, manage, and build with AI infrastructure. Students interact with real deployment environments, understand inference at a systems level, and build applications that work the same way in enterprise settings. Skills that translate directly to the industry.
No. EBox runs on Intel AMX, AVX-512, ARM SVX, and AMD processors — hardware already in most university server rooms. It is compatible with Ubuntu, Red Hat, CentOS, Fedora, and Suse. No new hardware, no new power infrastructure required.
EBox runs entirely within your campus network. All inputs, model outputs, and logs stay inside your environment regardless of the underlying hardware or OS. Kompact AI never receives or stores any student or research data.
Yes. EBox supports multi-tenancy through built-in JWT tokens. Engineering, Medical, Law, and any other faculty can each access isolated model instances from a single campus deployment.
Yes. EBox includes multilingual models supporting regional and international languages. Institutions can deploy AI tools in the language their students understand.
We offer free licenses to academic. EBox runs on existing CPU infrastructure with no additional power draw and no per-query cloud billing.
No. EBox is designed for minimal IT overhead. It can be deployed from GitHub, managed remotely via CLI-SSH, and for workstations and laptops.
Get in touch to see EBox running on your infrastructure.
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