Education-First SLM Suite

Sumeru SLMs. Six small models, one big idea.

World’s only company with six Small Language Models focused on education at scale — from chat generation to vision AI. Each one distilled from large LLMs to be privacy-focused, classroom-safe and tailored for education.

  • 6 education-first SLMs
  • Privacy-focused · on-device
  • Tailored for education

Why Sumeru exists

World needed its own AI for education. So we built it.

Cloud LLMs were never designed for a world classroom. They charge per token, need WiFi, send student data to US servers, and don’t speak our languages well. We built six small models that solve all of that.

01

The problem we kept seeing

Schools worldwide love the idea of AI tutors but can't afford per-token cloud bills, don't have reliable internet, and won't risk uploading student data to foreign clouds. The biggest blocker to AI in education isn't capability — it's the runtime.

02

Distillation, not duplication

Instead of training another giant LLM, we distilled six narrow ones from the best frontier models. Each one keeps the accuracy of its larger teacher on its specific education job, but fits in 100 MB–2 GB.

03

Education-first from day one

Every Sumeru model is trained on curriculum-aligned data, audited by teachers, guardrailed for age-appropriateness, and tuned for 32+ world languages. Not generic with an edu skin — purpose-built.

The Six Models

One model for each education-shaped job.

From 100 MB to 2 B parameters. Four available today; two on the roadmap.

256 MB
Audio

Sumeru-a

Audio-native intelligence: voice interaction, sound identification and real-time transcription — all on-device.

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256 MB
Thinking

Sumeru-t

Step-by-step reasoning for plans, breakdowns and structured analysis — without sending the chain-of-thought to a cloud.

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450 MB
Vision

Sumeru-v

Vision-based understanding — diagram parsing, OCR and handwritten work recognition. World's first vision AI for the classroom.

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1 B
Intelligent

Sumeru-i

The everyday workhorse. General language understanding across domains — fast, classroom-safe, near-zero hallucination.

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Coming Soon
Research · 2 B

Sumeru-r

Deep research and long-context analysis for knowledge-heavy workflows. The largest model in the suite, distilled for the edge.

On the roadmap
Coming Soon
Research Mini · 100 MB

Sumeru-rm

The lightest, fastest model. Tuned for short queries and embedded workflows — runs everywhere the larger models can't.

On the roadmap

Picking your model

Match the model to the job in 30 seconds.

Six small models, six education-shaped jobs. Find your match below.

  • Sumeru-a256 MB

    Voice apps, transcription, sound ID

    Audio-native · real-time · on-device

  • Sumeru-t256 MB

    Step-by-step reasoning, math, plans

    Chain-of-thought stays on the device

  • Sumeru-v450 MB

    Diagram, handwriting, document parsing

    World's first vision AI for classrooms

  • Sumeru-i1 B

    General edu chat & content generation

    The everyday workhorse

  • Sumeru-r2 B

    Deep research & long-context analysis

    Heaviest model, distilled for the edge

  • Sumeru-rm100 MB

    Embedded short queries, kiosks, IoT

    Runs where the larger models can't

Not sure which fits? Ask sumeru@schoolexl.com — we’ll recommend in a paragraph, not a sales pitch.

Why SLMs, Not LLMs

Smaller models. Bigger gains for education.

Distilled from LLMs

Trained against the best frontier models, then compressed for the edge — keeping the accuracy, losing the bulk.

Privacy-focused

Runs on-device or inside your network. Student data, classroom audio and exam answers never leave the building.

Classroom-safe

Strict guardrails on toxicity, hallucination and age-appropriateness — the only education AI trained and approved by teachers.

Tailored for education

Six small models, each tuned for an education-shaped job: chat, audio, vision, reasoning, research. No generic compromise.

Under the hood

From frontier model to your device, in four stages.

Stage 01

Frontier teachers

We start with the strongest open frontier models — Llama, Mistral, Phi. They're the teachers from which our students learn.

Stage 02

Domain distillation

Each Sumeru model is distilled to a single education job through a teacher-student pipeline. Narrow accuracy beats general intelligence.

Stage 03

Curriculum curation

Trained on world curriculum-aligned data, then audited by working teachers across grade levels. Hallucination, toxicity and age-fit are graded — not assumed.

Stage 04

On-device runtime

Compiled to run on Intel iGPU/NPU, NVIDIA GPUs, ARM CPUs and Snapdragon NPUs. Zero cloud calls at inference.

Runs everywhere your users are

Intel Core Ultra · iGPU/NPUNVIDIA GPUsARM CPUs · iOS · macOSSnapdragon NPUx86_64 LinuxAir-gapped servers

Performance proof

What you trade — and what you keep — when you choose small.

vs cloud LLMs (GPT-4o, Claude)

MetricSumeruOther
  • Inference cost / query₹0.001~₹2.00
  • Latency (typical)80 ms1.2 s
  • Data privacyYour serversUS / EU
  • OfflineYesNo

On the narrow education jobs Sumeru is trained for, on-device accuracy is within 6% of GPT-4o — at 1/2000 the per-query cost and zero data exfiltration.

vs generic open SLMs (Phi-3-mini, Gemma 2B)

MetricSumeruOther
  • World curriculum accuracy+23%Baseline
  • World languages32+~7
  • Age-appropriate guardrailsBuilt-inNone
  • Edu-specific fine-tunes60

Generic SLMs are fine-tuned by the whole internet. Sumeru is fine-tuned by teachers — on the actual textbooks, syllabi and language varieties students learn from.

Numbers illustrative · full methodology in our technical paper, on request

Three ways to ship Sumeru

Try, deploy, or fine-tune — your call.

From a one-day evaluation to a custom fine-tune on your private data, there’s a path that fits your team and your timeline.

Try in our sandbox

Hosted access to the four live models.

  • API keys for Sumeru-a / -t / -v / -i
  • Sample notebooks (Python · TS)
  • Education eval datasets
  • Free for evaluation

Best for: Researchers · prototypes

Request sandbox access
Most chosen

Deploy on Intel EdgeAI

Sumeru shipped on a workstation — managed for you.

  • 1:4 multi-user workstation
  • All 6 SLMs preinstalled
  • Admin tooling + SSO + audit logs
  • Support SLA included

Best for: Schools · branches · enterprises

Scope a deployment

Fine-tune on your data

A Sumeru variant trained on your private dataset.

  • Solutions architect engagement
  • Training cluster + custom evals
  • Your data stays in your environment
  • Licensed for commercial use

Best for: Edtech · publishers · partners

Talk to research team
A taste of the SDKPython · TypeScript · Swift · Kotlin
tutor.py
from sumeru import SumeruI

# Load on-device · no network call
model = SumeruI(device="cuda")

# Curriculum-aware tutoring in Hindi
answer = model.tutor(
    "Explain photosynthesis to a 5th grader.",
    language="hi",
    grade=5,
)
print(answer)

Illustrative. SDK and docs ship with sandbox access.

Builder questions, answered

Everything researchers and integrators ask.

  • Not at the moment. The four live models are accessible via our hosted sandbox and through EdgeAI deployments. We're evaluating an open-weights release for the smaller models — get in touch if your use case depends on it.

Something not covered? Email sumeru@schoolexl.com — your reply lands in our research team’s inbox.

Want a model on your stack?

Tell us what you’re building and which Sumeru model fits. We’ll get you trial access for evaluation, or scope a deployment.