BrAIn Platform

Enterprise AI workspace with dual modes, multi-model governance, and secure role-based access controls.

BrAIn is seamlessly integrated across BrainHR daily operations, empowering teams to leverage multi-model AI for report generation, workflow automation
and data-driven decision-making—enhancing productivity, driving efficiency, and accelerating business growth.

We design, develop, and deploy customized AI solutions aligned with BrAIn and tailored to your specific use cases—enabling seamless management of large-scale
data and intelligent workflow automation across industries, business functions, and enterprise platforms, including ATS, CRM, CMS, and more.

Dual AI Modes

Switch between CMS mode for enterprise data-grounded answers and General mode for customized LLM behavior.

Admin Governance

Enable/disable models, set default models, and define what model choices users can see.

Actionable Output

Report-ready responses, downloadable outputs (`.md`, `.txt`, `.csv`, `.docx`, `.pdf`), and voice input support.

Curated AI Models

Access to industry-leading AI Large language models

Llama 4 ScoutMeta's 17B parameter multimodal model with 16 experts for text and image understanding

Kimi K2.5Frontier-scale model with 256k context window, multi-turn tool calling, and vision inputs

GLM-4.7 FlashFast multilingual model with 131k token context, optimized for dialogue and instruction-following

GPT-OSS-120BOpenAI's open-weight model for production, general purpose, and high reasoning use-cases

GPT-OSS-20BLower latency OpenAI model for local or specialized use-cases with powerful reasoning

Nemotron 3NVIDIA hybrid MoE model with leading accuracy for multi-agent applications

Qwen3 30BLatest Qwen series with groundbreaking reasoning, instruction-following, and agent capabilities

QwQ 32BReasoning model capable of thinking and reasoning for significantly enhanced performance

Qwen2.5 CoderCode-specific large language model for developers with multiple parameter sizes

Gemma 3 12BMultimodal model for text generation and image understanding with 128K context window

Mistral Small 3.124B parameter model with state-of-the-art vision understanding and 128k context

Llama 3.2 3BLightweight instruction-tuned model for efficient text generation tasks

Llama 3.1 8BVersatile 8B parameter model for diverse text generation workloads

Llama 3 8BProven 8B parameter instruction-tuned model for chat and generation

Granite 4.0IBM's instruct model for instruction following and function calling in agentic tasks

SEA-LION v4Large language model pretrained and instruct-tuned for Southeast Asian languages

DeepSeek R1 Distill Qwen 32BDistilled reasoning model based on Qwen, optimized for complex problem-solving

DeepSeek Coder 6.7BCode generation and understanding model with AWQ quantization for efficiency

WhisperOpenAI's speech recognition model for accurate audio transcription and translation

SQLCoder 7BSpecialized model for converting natural language queries to SQL statements

Stable Diffusion v1.5 InpaintingImage editing model for filling in masked regions with coherent content

Stable Diffusion XL Base 1.0High-resolution image generation model with superior quality and detail

M2M100 1.2BMultilingual translation model supporting 100 languages without English pivot

ResNet-50Computer vision model for image classification and feature extraction

BrAIn Plans

Flexible plans designed for teams of all sizes

Starter

Ideal for pilot teams and internal AI adoption programs.

Dual mode chat
Core model governance
Basic analytics

Growth

For multi-team deployments with approval controls and reporting.

Advanced model controls
Role-scoped access
Operational dashboards

Enterprise

Designed for large organizations with security and governance requirements.

Custom policies
Enterprise integration support
Dedicated onboarding

Are You Interested?

Submit your details and explore opportunities connected to the BrAIn product ecosystem.

Talk to Our Team

Share your use case, expected volume, and team size. We will recommend the right BrAIn configuration.