Multimodal AI Services

AI That Understands Like Humans Do: Azumo's Multimodal Development Mastery

Create truly intelligent applications that process and understand multiple types of data simultaneously. Azumo develops multimodal AI solutions that combine text, images, audio, and video processing to deliver rich, contextual experiences that mirror human-like understanding and interaction capabilities.

What is Multimodal AI

Multimodal AI refers to artificial intelligence systems that can process, understand, and generate content across multiple types of data modalities simultaneously, such as text, images, audio, video, and sensor data. These systems integrate information from different sources to create more comprehensive understanding and richer, more contextual responses than single-modality AI systems.

Multimodal AI represents a groundbreaking approach to artificial intelligence that integrates information from multiple modalities, such as text, images, and audio. By combining data from diverse sources, Multimodal AI enables machines to understand and interact with the world in a more human-like manner, revolutionizing various industries and applications.

Cross-modal understanding that processes text, images, audio, and video simultaneously

Unified embedding spaces for consistent representation across data types

Attention mechanisms that focus on relevant information across modalities

Real-time multimodal processing with optimized inference pipelines

Why Choose Azumo for Multimodal AI Services

How we Help You:

Integrated Data Fusion

Combine and analyze data from multiple modalities, such as text, images, audio, and video, to extract rich and comprehensive insights, enabling businesses to gain a deeper understanding of complex phenomena and make more informed decisions.

Cross-Modal Retrieval

Enable cross-modal retrieval of information across different types of data, allowing users to search for and retrieve relevant content using one modality (e.g., text query) based on information from another modality (e.g., image or audio).

Multimodal Fusion Models

Develop and deploy advanced fusion models that integrate information from diverse modalities using techniques such as late fusion, early fusion, and attention mechanisms, enabling businesses to leverage complementary information sources and improve model performance.

Multimodal Sentiment Analysis

Analyze and interpret sentiments, emotions, and opinions expressed across multiple modalities, such as text, images, and video, enabling businesses to understand and respond to customer feedback and sentiment more comprehensively.

Multimodal Interaction

Enable multimodal interaction between users and systems, allowing for more natural and intuitive communication and collaboration through a combination of text, speech, gestures, and visual cues.

Enhanced User Experiences

Enhance user experiences in applications such as virtual assistants, augmented reality (AR), and virtual reality (VR) by incorporating multimodal capabilities to provide personalized and immersive interactions.

Our Multimodal AI Services

Enhanced Understanding

Enhanced Understanding Gain deeper insights and understanding by leveraging Multimodal AI to analyze data from multiple sources simultaneously. By integrating text, images, and audio, machines can interpret context more accurately and make more informed decisions.

Visual Question Answering

Visual Question Answering Enable machines to answer questions based on visual input using Multimodal AI. By combining image recognition with natural language processing, these systems can understand and respond to queries about visual content, enhancing user interaction and accessibility.

Image Captioning

Automatically generate descriptive captions for images using Multimodal AI algorithms. By analyzing both visual content and contextual information, these systems can generate accurate and contextually relevant captions, improving accessibility and user experience.

Audio-Visual Speech Recognition

Improve speech recognition accuracy in noisy environments by combining audio and visual cues with Multimodal AI. By analyzing lip movements and audio signals simultaneously, these systems can enhance speech recognition performance, especially in challenging conditions.

Our AI Development Service Models

We offer flexible engagement options tailored to your AI development goals. Whether you need a single AI developer, a full nearshore team, or senior-level technical leadership, our AI development services scale with your business quickly, reliably, and on your terms.

Requirements Discovery

De-risk your AI initiative from the start. Our Discovery engagement aligns business objectives, tech feasibility, and data readiness so you avoid costly rework later.

Create TEch Specs

POC and MVP Development

Prove value fast. We build targeted Proofs of Concept and MVPs to validate AI models, test integrations, and demonstrate ROI without committing to full-scale development.

Build Your MVP

Custom AI Development

End-to-end AI development tailored to your environment. We handle model training, system integration, and production deployment backed by top AI engineers.

Build Your AI Solution

AI Development Staffing

Access top-tier AI developers to fill capability gaps fast. Our vetted engineers plug into your team and stack, helping you meet delivery goals without compromising quality or velocity.

Staff Your AI Needs

Dedicated AI Development Team

Build an embedded AI Development team that works exclusively for you. We provide aligned, full-time engineers who integrate with your workflows and own delivery.

Build a team

Virtual CTO Services

Our Virtual CTO guides your AI development strategy, ensures scalable architecture, aligns teams, and helps you make informed build-or-buy decisions that accelerate delivery.

Get Expertise

Multimodal AI

Build Intelligents Apps with Azumo for Multimodal AI

Build

Start with a foundational model tailored to your industry and data, setting the groundwork for specialized tasks.

Tune

Adjust your AI for specific applications like customer support, content generation, or risk analysis to achieve precise performance.

Refine

Iterate on your model, continuously enhancing its performance with new data to keep it relevant and effective.

Consult

Work directly with our experts to understand how fine-tuning can solve your unique challenges and make AI work for your business.

Simple, Efficient, Scalable Multimodal AI Services

Get a streamlined way to finetune your model and improve performance without the typical cost and complexity of going it alone

Get started

With Azumo You Can . . .

Get Targeted Results

Fine-tune models specifically for your data and requirements

Access AI Expertise

Consult with experts who have been working in AI since 2016

Maintain Data Privacy

Fine-tune securely and privately with SOC 2 compliance

Have Transparent Pricing

Pay for the time you need and not a minute more

Our finetuning service for LLMs and Gen AI is designed to meet the needs of large, high-performing models without the hassle and expense of traditional AI development

Our Client Work in AI Development

Our Nearshore Custom Software Development Services focuses on developing cost-effective custom solutions that align to your requirements and timeline.

Web Application Development. Designed and developed backend tooling.

Developed Generative AI Voice Assistant for Gaming. Built Standalone AI model (NLP)

Designed, Developed, and Deployed Automated Knowledge Discovery Engine

Backend Architectural Design. Data Engineering and Application Development

Application Development and Design. Deployment and Management.

Data Engineering. Custom Development. Computer Vision: Super Resolution

Designed and Developed Semantic Search Using GPT-2.0

Designed and Developed LiveOps and Customer Care Solution

Designed Developed AI Based Operational Management Platform

Build Automated Proposal Generation. Streamline RFP responses using Public and Internal Data

AI Driven Anomaly Detection

Designed, Developed and Deployed Private Social Media App

Case Study

Highlighting Our Fine Tuning Expertise:

Insights on LLM Fine Tuning

Enhancing Customer Support with Fine-tuned Falcon LLM

Our Full Stack Approach to Multimodal AI Services

Develop AI that processes text, images, audio, and video simultaneously. Azumo's multimodal AI solutions for comprehensive data understanding.

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Anthropic

Cohere

Databricks

Datastax

DeepSeek

Gemini

LLaMA

LangChain

Mistral

OpenAI

Pinecone

PyTorch

Python

Weaviate

What You'll Get When You Hire Us for Multimodal AI Services

We are able to excel at developing Multimodal AI solutions because we attract ambitious and curious software developers seeking to build intelligent applications using modern frameworks. Our team can help you proof, develop, harden, and maintain your Multimodal AI solution.

Comprehensive Data Fusion

Multimodal AI seamlessly integrates data from various modalities, including text, images, and audio, to create a holistic understanding of complex information. By combining multiple sources of data, businesses can gain deeper insights and uncover hidden patterns and correlations that would be impossible to detect using single-modal approaches.

Enhanced Data Analysis

Analyzing data in multiple modalities allows businesses to extract richer and more nuanced insights. Multimodal AI algorithms can analyze textual content, visual imagery, and audio signals simultaneously, enabling businesses to uncover deeper insights and make more informed decisions. Whether it's sentiment analysis, object recognition, or voice recognition, Multimodal AI empowers businesses to extract valuable information from diverse data sources.

Personalized User Experiences

Delivering personalized user experiences requires understanding user preferences and behaviors across multiple modalities. Multimodal AI enables businesses to analyze user interactions with text, images, and audio content to tailor recommendations and experiences to individual preferences. By leveraging Multimodal AI, businesses can create personalized user experiences that drive engagement, loyalty, and customer satisfaction.

Cross-Modal Translation

Breaking down language barriers is essential for connecting with global audiences. Multimodal AI technologies enable businesses to translate content across different modalities, including text, images, and audio. By leveraging Multimodal AI for cross-modal translation, businesses can reach diverse audiences, expand their market reach, and drive international growth.

Contextual Understanding

Multimodal AI algorithms analyze data from multiple modalities to infer context and meaning, enabling you to make more accurate predictions and recommendations. Whether it's understanding the context of a conversation or interpreting the meaning of a visual scene, Multimodal AI provides you with a deeper understanding of complex data.

Adaptive Learning

Multimodal AI systems can adapt and learn from feedback across multiple modalities, improving their performance over time. By incorporating feedback from users and adapting to changing data distributions, Multimodal AI systems can continuously improve their accuracy and effectiveness. This adaptive learning capability enables businesses to stay ahead of the curve and respond quickly to evolving user needs and preferences.