Contact Info
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5151 N Oracle Rd, Tucson, AZ 85704, USA
Combine text, image, voice, and video processing into cohesive, powerful AI experiences.
Get Free ConsultationWe have a team of skilled AI engineers who specialize in building Multimodal AI systems—combining text, image, voice, and sensor data to deliver intelligent, context-aware solutions.
Explore our multimodal capabilities and connect with us to integrate one or all of them into your platform.
We offer strategic consulting and full-stack development to help you integrate multimodal AI into your existing or new products. Our experts analyze your business needs and recommend the right combination of modalities—from vision and language to audio and structured data—to deliver seamless user experiences.
Multimodal AI enables systems to interpret complex inputs across formats, while automation ensures real-time response and personalization. Hire our team to build intelligent assistants, recommendation engines, and analytics dashboards that adapt to user behavior and context dynamically.
We develop assistants that combine voice, text, and image inputs—enabling users to interact naturally and receive visually grounded responses.
Our systems fuse structured data with real-time signals (camera, audio, logs) to predict outcomes and automate decisions across industries.
From smart tagging to contextual search, we integrate computer vision with NLP to help platforms understand what users see and say—simultaneously.
We build models that evolve with user behavior—learning from clicks, speech, gestures, and visual cues to improve recommendations and personalization.
LevelsAI enables apps to respond to voice commands, analyze camera input, and deliver tailored content—all within a unified mobile interface.
We connect IoT devices to multimodal AI layers—enabling real-time alerts, predictive maintenance, and intelligent control based on fused sensor data.
Our team monitors performance across modalities, retrains models, and upgrades pipelines to ensure long-term accuracy and scalability.
At LevelsAI, we specialize in building intelligent systems that understand and respond across formats—text, image, audio, and sensor data. Our engineers combine deep learning, NLP, computer vision, and signal processing to create Multimodal AI Systems that adapt to real-world complexity and deliver seamless user experiences.
We build systems that interpret spoken and written language together—enabling natural conversations, voice commands, and contextual responses across platforms.
Our models link image inputs with textual understanding—powering smart search, visual tagging, and real-time content recommendations in retail, healthcare, and media.
We combine structured data with unstructured signals (voice, image, logs) to forecast outcomes, automate decisions, and personalize user journeys.
From voice-driven navigation to camera-based analysis, our mobile integrations deliver unified experiences across modalities—all within a single app.
We connect IoT devices to multimodal AI layers—enabling real-time alerts, predictive maintenance, and intelligent control based on fused sensor data
Our systems continuously learn from user behavior across formats—improving accuracy, personalization, and engagement with every interaction.
Technology Stack:Python, OpenAI API, LangChain, AWS Lambda, React
A leading fashion retailer partnered with LevelsAI to solve a major challenge: low engagement and high bounce rates on their e-commerce platform. We built a Multimodal Shopping Assistant that understands voice queries, visual preferences, and text-based filters—allowing users to say things like “Show me winter coats in beige” or upload a reference image to find similar styles. The assistant also integrates real-time inventory APIs and dynamic pricing logic based on demand and competitor trends.
Impact:
Technology Stack:Amazon SageMaker, PyTorch, Spark, AWS Cloud, Kafka
A fintech company in London approached LevelsAI to build a fraud detection system that could analyze not just transaction data but also behavioral signals like voice tone (from support calls), device fingerprinting, and geolocation. We developed a Multimodal AI System that fuses structured financial data with unstructured signals—enabling real-time anomaly detection and adaptive risk scoring.
Impact:
Technology Stack:Apache Spark, Hugging Face Transformers, Cassandra, AWS S3, React Native
An OTT platform wanted to personalize content beyond just watch history. LevelsAI built a multimodal recommendation engine that combines text-based preferences, voice feedback, and visual cues (like thumbnails clicked or skipped) to suggest shows users are more likely to enjoy. The system adapts in real-time, learning from user behavior across devices and formats.
Impact:
At LevelsAI, we build intelligent systems that understand and respond across formats—voice, image, text, and sensor data.
Our agile methodology is designed to handle multimodal complexity, ensuring fast execution, scalable architecture, and measurable impact.
We assign a dedicated subject matter expert to assess your platform, workflows, and data streams. Based on your goals, we recommend the right combination of modalities and integration architecture.
We develop interactive prototypes that simulate multimodal behavior—voice and image search, sensor-triggered alerts, and context-aware assistants. This phase helps validate functionality and user experience before full-scale development.
Our engineers train and fuse NLP, computer vision, and signal models into unified pipelines. We proactively identify and resolve performance gaps to ensure accuracy and reliability.
Once validated, we integrate the final model into your app, dashboard, or backend via REST APIs, SDKs, or direct UI hooks. We use Slack, Jira, and GitHub to maintain full transparency and milestone tracking throughout the process.
We match you with the right AI engineer based on your platform, use case, and data modalities—whether it’s voice, image, text, or sensor streams.From intelligent assistants to cross-format automation, LevelsAI ensures your multimodal system is built for scale, speed, and accuracy
Your success is Guaranteed
We accelerate multimodal AI deployment and ensure measurable outcomes—from MVP to enterprise-grade rollout. Our team uses Slack, Jira & GitHub for transparent collaboration, milestone tracking, and seamless delivery.
At LevelsAI, we specialize in building intelligent systems that understand and respond across formats—voice, image, text, and sensor data.
Whether you're launching a multimodal assistant, a cross-channel recommendation engine, or a real-time automation layer, our team delivers scalable, production-ready solutions tailored to your business goals.
LevelsAI helped us build a multimodal assistant that understands voice, image, and text inputs—all in one flow. Their team was fast, collaborative, and deeply technical. We launched in record time.
Working with LevelsAI was a game-changer. They didn’t just deliver a recommendation engine—they built a system that adapts to user behavior across formats. It’s smart, scalable, and future-ready.
I was skeptical about outsourcing multimodal AI, but LevelsAI proved me wrong. Their pricing was transparent, the integration was seamless, and we saved 5x compared to building in-house.
Yes. Our engineers specialize in embedding multimodal AI into mobile apps, web platforms, CRMs, and enterprise systems. We first assess your architecture, data flow, and modality needs before integration.
