Microsoft

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Overall Rank#4

Microsoft is a technology company that offers a wide range of software, cloud computing services, hardware, and artificial intelligence solutions.

Redmond, Washington, United States

🇺🇸

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AI Native

Number of tools

Number of employees

228k+

Profitable

Yes

Valuation

$3.40T

Models

Gen 4

Rho alpha

Rho-alpha is Microsoft’s first robotics model from the Phi vision-language series, a vision-language-action-plus (VLA+) system that turns natural language commands into tactile-aware control signals for bimanual robots in real-world manipulation tasks.

🔒Private conversations 💻Virtual staging 🧱Lego design 🤠Chatting with Bandit

NewImage

Released 1mo ago
Gen 4

TRELLIS 2

TRELLIS.2 is a 4B-parameter open-source image-to-3D model from Microsoft that turns a single image into high-resolution, PBR-textured 3D assets using a compact native 3D VAE latent space for efficient, high-fidelity asset generation.

🌍3D images 🖼️Image generation

Image

Released 3mo ago
Gen 4

VibeVoice

VibeVoice is Microsoft’s open-source frontier TTS framework that turns long text into expressive multi-speaker conversational audio, generating podcast-style speech with natural turn-taking in English and Mandarin

🔊Text to speech 🌐Websites 📚Book writing 📚Academic writing

Audio

Released 3mo ago
Gen 7

Fara 7B

Fara-7B is a lightweight Microsoft model tuned for autonomous agents that can run directly on a laptop, handling local tasks without relying on the cloud.

🚀Productivity 🤖Task automation 📋Task management

Text

Released 3mo ago
Gen 4

MAI-Image-1

Latent Diffusion by CompVis is a text to image method that runs the diffusion process in a compressed latent space for speed and quality. A VAE encodes and decodes images, a U Net denoiser operates on latents, and a text encoder guides generation. It enables fast synthesis, image to image, and inpainting on modest hardware.

🖼️Image generation 🔍SEO content 🖌️Image editing 📰LinkedIn

Image

Released 5mo ago
Gen 4

VibeVoice TTS 1.5B

VibeVoice is Microsoft's open-source frontier voice AI family, unifying long-form ASR, multi-speaker TTS and low-latency streaming TTS using continuous speech tokenizers and next-token diffusion for efficient, high-fidelity speech over very long audio.

🔊Text to speech 🎵Music 🗒Transcription

Audio

Released 6mo ago
Gen 7 Phi

Phi 4 mini reasoning

Phi-4-mini-reasoning is a lightweight open model built upon synthetic data with a focus on high-quality, reasoning dense data further finetuned for more advanced math reasoning capabilities. The model belongs to the Phi-4 model family and supports 128K token context length.

➕Math lessons 🎮Game creation ➗Math problems

Text

Released 10mo ago
Gen 7 Phi

Phi 4 reasoning plus

Phi-4-reasoning-plus is an open-weight reasoning model derived from Phi-4, trained with chain-of-thought supervised fine-tuning and extra reinforcement learning on high-quality synthetic and filtered public-domain data (math, science, coding) with safety alignment. It delivers stronger reasoning in a small model, at the cost of ~50% longer outputs and higher latency.

💻Coding 📚Learning 💬Chatting

Text

Released 10mo ago
Gen 7 Phi

Phi 4 reasoning

Phi-4-reasoning is an open-weight model fine-tuned from Phi-4 with chain-of-thought SFT and reinforcement learning, trained on high-quality synthetic and filtered public-domain data (math, science, coding) plus safety alignment—aimed at delivering strong reasoning in a compact model.

🚀Productivity 📊Pitch decks 💻Coding

Text

Released 10mo ago
Gen 4

OmniParser

OmniParser is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements, which significantly enhances the ability of GPT-4V to generate actions that can be accurately grounded in the corresponding regions of the interface.

🔍Image recognition 🖼️Image generation

Image

Released 1y ago
Gen 7 Phi

Phi 3.5 mini

Phi-3.5-mini is Microsoft’s compact open-weight LLM (~3.8B parameters) tuned for strong instruction following, reasoning, and coding. It supports long-context (up to 128K), function calling, and JSON outputs, and is MIT-licensed for easy use on Azure AI or locally.

💻Coding 📚Summaries 🏋️Fitness 💬Chatting

Text

Released 1y ago
Gen 7 Phi

Phi Silica

Phi Silica is Microsoft’s on-device small language model (~3.3B params) built to run locally on Copilot+ PC NPUs. It’s pre-tuned, 4-bit–quantized, streams fast (≈230 ms first token, up to ~20 tok/s), and currently offers a 2K context (with 4K coming). Available to developers via the Windows App SDK’s Phi Silica APIs.

💬Chatting 💻Coding 🤖Chatbots

Text

Released 1y ago

Papers

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning

The University of Texas

Published on: 2026-03-04 1 author
Phi-4-reasoning-vision-15B Technical Report

Published on: 2026-03-04 1 author
UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?

Shanghai Jiao Tong University

Published on: 2026-03-03 1 author
Beyond Pixel Histories: World Models with Persistent 3D State

University of Edinburgh

Published on: 2026-03-03 1 author
Modular Memory is the Key to Continual Learning Agents

University of Bremen

Published on: 2026-03-02 1 author
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Published on: 2026-02-26 1 author
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Published on: 2026-02-26 1 author
WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks

University of Illinois Urbana-Champaign

Published on: 2026-02-25 1 author
Experiential Reinforcement Learning

University of Southern California

Published on: 2026-02-15 1 author
WizardLM: Empowering large pre-trained language models to follow complex instructions

Peking University

1 author
Florence: A New Foundation Model for Computer Vision

1 author
LLM-in-Sandbox Elicits General Agentic Intelligence

Tsinghua University

Published on: 2026-02-12 1 author
On-Policy Context Distillation for Language Models

Microsoft Research

Published on: 2026-02-12 1 author
CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation

Published on: 2026-02-06 1 author
See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning

Tsinghua University

Published on: 2026-02-05 1 author
LIVE: Long-horizon Interactive Video World Modeling

The Chinese University of Hong Kong

Published on: 2026-02-03 1 author
Closing the Loop: Universal Repository Representation with RPG-Encoder

Published on: 2026-02-03 1 author
CUA-Skill: Develop Skills for Computer Using Agent

Published on: 2026-02-02 1 author
AgentRx: Diagnosing AI Agent Failures from Execution Trajectories

Published on: 2026-02-02 6 authors
X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests

Published on: 2026-02-01 1 author
LLM-42: Enabling Determinism in LLM Inference with Verified Speculation

Microsoft Research

Published on: 2026-01-30 1 author
Lost in Transmission: When and Why LLMs Fail to Reason Globally

Published on: 2026-01-30 1 author
Efficient Autoregressive Video Diffusion with Dummy Head

Published on: 2026-01-28 1 author
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

Published on: 2026-01-22 1 author
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning

MIT

Published on: 2026-01-15 1 author
Controlled LLM Training on Spectral Sphere

Renmin University

Published on: 2026-01-13 1 author
InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training

Peking University

Published on: 2026-01-08 1 author
Thinking with Blueprints: Assisting Vision-Language Models in Spatial Reasoning via Structured Object Representation

National University of Singapore

Published on: 2026-01-05 1 author
From Word to World: Can Large Language Models be Implicit Text-based World Models?

Southern University of Science and Technology

Published on: 2025-12-21 1 author
Sigma-MoE-Tiny Technical Report

Microsoft Research

Published on: 2025-12-19 1 author
FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction

Fudan University

Published on: 2025-12-18 1 author
Spatia: Video Generation with Updatable Spatial Memory

The University of Sydney

Published on: 2025-12-17 1 author
Native and Compact Structured Latents for 3D Generation

Tsinghua University

Published on: 2025-12-16 1 author
Wait, Wait, Wait... Why Do Reasoning Models Loop?

MIT

Published on: 2025-12-15 1 author
Glance: Accelerating Diffusion Models with 1 Sample

Wissenschaftliche Hochschule für Unternehmensführung

Published on: 2025-12-11 1 author
Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion

Beijing Jiaotong University

Published on: 2025-12-05 1 author
VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM

ETH Zurich

Published on: 2025-12-02 1 author
The Art of Scaling Test-Time Compute for Large Language Models

Indian Institute of Technology Delhi

Published on: 2025-12-01 1 author
ThetaEvolve: Test-time Learning on Open Problems

Published on: 2025-11-28 1 author
LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models

University of Chinese Academy of Sciences

Published on: 2025-11-28 1 author
SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling

University of Illinois Urbana-Champaign

Published on: 2025-11-12 1 author
Shifting Work Patterns with Generative AI

Harvard University

Published on: 2025-10-13 1 author
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs

University of California

Published on: 2025-10-09 5 authors
Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning

MIT

Published on: 2025-09-14 1 author
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Nanyang Technological University, Université de Montréal, University of Illinois at Urbana-Champaign

Published on: 2025-08-02 1 author
Autoregressive Speech Synthesis without Vector Quantization

The Chinese University of Hong Kong

Published on: 2025-05-27 1 author
LLMs Get Lost In Multi-Turn Conversation

Published on: 2025-05-09 1 author
I-Con: A Unifying Framework for Representation Learning

MIT

Published on: 2025-04-23 5 authors
AI-Instruments: Embodying Prompts as Instruments to Abstract & Reflect Graphical Interface Commands as General-Purpose Tools

Published on: 2025-02-26 1 author
AI at Work Is Here. Now Comes the Hard Part

Published on: 2024-05-08 Venue: Microsoft Work Trend Index

Funding rounds

View all

Debt Financing

Announced 2016-08-01

Round $19.75B Closed
Debt Financing

Closed 2015-02-09

Round $10.75B Closed
Debt Financing

Closed 2013-12-03

Round $8B Closed
Debt Financing

Closed 2011-02-03

Round $2.25B Closed
Convertible Note

Closed 2010-06-01

Round $1.25B Closed
Debt Financing

Closed 2009-05-11

Round $3.75B Closed
IPO

Closed 1986-03-13

Round $61M Post-money $777M Closed
Series A

Closed 1981-07-15

Raised $1M Round $1M Post-money $20M 1 investors Closed

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