Three pillars

Business AI Development — RAG, summarization, translation, classification, internal search, communication-support AI
Large-Scale LLM R&D — Post-training on 750B-parameter models. SFT, DPO, GRPO, FSDP, distributed training, evaluation design
Assistive Technology / Communication AI — AAC, input assistance, personalized language models, disability-led AI design

1. Business AI Development

We design and build AI systems tailored to your business — RAG, summarization, translation, classification, internal document search, and communication-support AI. We choose the right tradeoffs given your objective, budget, and deployment environment. OSS models are supported for offline / on-prem deployment.

Pricing: from JPY 500,000 Lead time: 1 month minimum

Sample: Custom AI receptionist

You can try working samples below.

OSS model

A self-contained LLM that runs offline / on low-spec devices.

See OSS model on Hugging Face

LINE

A bot running on LINE. Other channels (corporate sites, chat tools) are also supported.

Try the LINE bot

Sub-service: Inclusive LLM Translation

AI translation combined with review by disabled staff. We deliver short turnaround, high quality, and reasonable pricing in a single workflow.

Formats: PowerPoint and Word
Pricing: Trial JPY 1 / character (first 10,000 characters) / Standard from JPY 4 / character
Lead time: 1 day per 10,000 characters + 3 business days

2. From research-grade LLM insight to production AI

Our team has post-training experience on large language models up to 750B parameters. We are familiar with SFT, DPO, GRPO, and other post-training methods, and with distributed training, parameter control, and evaluation design under realistic compute constraints.

We translate this insight into PoCs, business support AI, RAG, summarization, translation, classification, and communication-support AI — realistic AI deployments shaped by your objective, budget, and operating environment.

SFT (supervised fine-tuning), DPO, GRPO, and other post-training methods
FSDP, distributed training, parameter freezing — running large-scale models under limited compute
Evaluation design, model analysis, dataset design, synthetic data generation
OSS-model-based offline / on-prem deployment

3. Assistive Technology & Communication AI Development

We combine lived experience of severe physical disability with large language model R&D expertise to build AAC, input-assistance, sentence-prediction, and personalized language models.

Beyond producing fluent text, we focus on preserving the user's voice and style, transferring intent with minimal input, and being usable in real life, work, and care settings without friction.

AAC (Augmentative and Alternative Communication) AI
Input-assistance AI for switch / scanning input
Sentence prediction and personalized language models — fine-tuning, synthetic data, evaluation, end-to-end
Disability-led AI design and user research

This is the area in which EqualFrontiers is most clearly differentiated from generic AI vendors. Model evaluation and dataset design grounded in the lived sense of an actual end-user with severe disability is hard to replicate from outside.

Public research output and confidentiality

Our team continues to publish research on LLM training efficiency, model analysis, and assistive AI to the extent confidentiality permits. The published record demonstrates capability in model architecture, fine-tuning, evaluation design, and implementation.

Note: Specific client engagements, model details, and ongoing peer-reviewed research are not disclosed due to confidentiality and double-blind review requirements. We are happy to discuss relevant scope and capabilities under NDA.

From research-grade LLM insight to production AI.