AI and ML
solutions
Accelerate decision-making, streamline operations, and wow users with state-of-the-art artificial intelligence and machine learning technology.
Featured AI/ML solutions and focus areas
Predictive analytics
Guide business decisions with highly accurate, granular forecasts of global-scale disruptions, market trends, operational risks, customer demand, user churn, and more.
Fraud detection
Leverage deep learning to eliminate fraud across a wide range of industry-specific solutions, from finance to Web 3.0, HealthTech, digital advertising, e-commerce, and telecommunications.
Natural language processing
Virtual agents and chatbots, electronic discovery, or recommendation engines — our NLP solutions bring human-like intelligence to your digital products. .
Content analysis
Automatically classify text, images, audio, and videos, generate metadata, uncover insights, and analyze content for marketing, UX, and other purposes.
Generative AI
Integrate large language models and tailor generative AI to your data, business goals, and product strategy. Our experience with highly scalable and secure cloud-native solutions will help accelerate your AI transformation.
Looking for more AI and ML solutions?
Explore our AI expertise in depth and find out how we can meet your needs.
Choose an optimal AI/ML development strategy
Integrate AI/ML APIs into your software
Embrace a lean strategy for adding AI functionality to your products
Optimal applications
- Basic AI chatbots
- Sentiment analysis
- E-discovery and information extraction
- Content and code generation
Customize third-party AI with proprietary data
Build highly customized enterprise tools supercharged by AI
Optimal applications
- Virtual agents
- Specialized AI copilots
- Decision support
- Specialized content and code generation
- Prediction, search, and recommendation engines
Train custom AI/ML models
Create proprietary ML models and harness the full potential of AI
Optimal applications
- Custom industry-specific generative and predictive AI tools
- Applications with a high degree of security
Our process
AI strategy and architecture
We study your data, AI, and ML infrastructure, strategy, and challenges to recommend optimal solution architecture and technology.
Solutions estimation and roadmapping
Our team provides you with range estimates, and together, we agree on key milestones and the resources needed to achieve them.
Solution support, monitoring, and enhancement
Our AI/ML and data systems get the necessary monitoring solutions to prevent model drift and ensure best-in-class reliability.
AI solution design and development
Delivery takes the form of agile sprints, and you always get 100% transparency regarding team performance and solutions status.
Tailor our services to your business
Our process is agile, flexible, and highly customizable to your business goals. See how it fits into your strategy.
See what clients say about us
Engage the top 1% of remote AI experts
Why AI Studio?
8+years
of experience with ML solutions
10+ industries
in our AI, ML, and data portfolio
2xefficiency boost
via proven nearshore strategies
Strong market presence
AI Studio is a part of AgileEngine, an Inc. 5000 1000-people firm
Cross-functional expertise
From ML models to development and AI-specific UX design
10+ locations
Engage AI, ML, and data experts on your time zone
Featured AI case studies
Subscriber churn prediction scaling beyond 26 million users
Learn moreSubscriber churn prediction scaling beyond 26 million users
Deliverables:
Predictive AI solution based on AWS Sagemaker, AWS Batch, and XGBoost Automated monitoring enabling the client to detect and mitigate model degradation Data engineering solutions for the company’s insights and analytics teams Optimization and migration of critical data pipelines Introduction of version control for analytics projects Automation of data extraction and other processes
Technologies:
AWS Sagemaker, AWS Batch, XGBoost, AWS ECS, AWS EMR, Python, Airflow, Snowflake, TableauAWS Sagemaker, AWS Batch, XGBoost, AWS ECS, AWS EMR, Python, Airflow, Snowflake, Tableau
Predictive AI powering a supply chain orchestration vendor to IMB and Merck
Learn morePredictive AI powering a supply chain orchestration vendor to IMB and Merck
Deliverables:
Machine learning solutions and infrastructure for processing high-volume real-time data Predictive analytics of disruptions caused by weather, natural disasters, supplier or logistics failure, labor strikes, and other factors Data visualization and log analytics Highly scalable data integrations
Technologies:
Java, Spring, Hibernate, PostgreSQL, Maven, Amazon AWS, Angular 8, Docker, Kafka, Ansible, ELK stack, Apache Tools
Fraud and insider trading detection systems used at the NYSE and Nasdaq
Learn moreFraud and insider trading detection systems used at the NYSE and Nasdaq
Deliverables:
Machine learning and deep learning algorithms enhancing the fraud detection capabilities of the platform Fraud and insider trading detection systems running against a data warehouse to automatically catch violations and initiate the investigation process Test data for testing algorithms performance and the consolidation of audit trails programs
Technologies:
AWS, Apache Spark, Scala, Python, Angular, Java, Hadoop
NPL-based recommendations and ML-driven MarTech built for a top-3 job search site with 350 million monthly users
Learn moreNPL-based recommendations and ML-driven MarTech built for a top-3 job search site with 350 million monthly users
Deliverables:
NLP-based recommendations engine enhancing the UX via personalized content Marketing leads enrichment solution leveraging proximity clustering and resulting in higher campaign ROI Optimization of the data architecture to improve analytics, reporting, and machine learning capabilities
Technologies:
HDFS, Hadoop, Spark, Kafka, Python, Airflow, Docker, Google Bigquery, Snowflake
AI-powered AdTech tools for a Verizon, P&G, and Microsoft vendor
Learn moreAI-powered AdTech tools for a Verizon, P&G, and Microsoft vendor
Deliverables:
Neural network that clusters images by similarity and dramatically speeds up processing, enabling precise ad placement optimization Custom AI solution that analyzes the videos and briefly describes them for content metadata generation
Technologies:
AWS Sagemaker, Java Spring Framework, JavaScript, Typescript, Node.js, Express.js, MongoDB, MySQL, React.js, Grafana, Prometheus, Docker, Kubernetes, AWS
Risk prediction of traffic accidents with 90% accuracy
Learn moreRisk prediction of traffic accidents with 90% accuracy
Deliverables:
Predictive AI system forecasting accidents Watchlist with an AI/ML engine built to analyze 40 billion miles of driver data The client’s core product, brought from an early startup to an enterprise-grade solution for insurers and truck fleet companies
Technologies:
Scala, Play Framework, Slick, PostgreSQL, Go, Python, TeamCity, Docker, Amazon Services, Auth0, Golang, JavaScript, React, TypeScript, Redux, Immutable.js
Our work gets recognition in the AI space
Explore AI/ML development strategies with our expert
Meet your AI solutions team
AI/ML solution architect
Key responsibilities:
- Technical design and architecture
- Technology selection and advisory
- Team assembly
- Solution and team oversight
Data scientists
Key responsibilities:
- Data organization, processing, cleaning, and validation with ML
- Data analysis
- Prediction systems design
- Communication of insights and advisory on solutions
Data/ML engineers
Key responsibilities:
- Design and development of AI/ML applications and data pipelines
- Training, retraining, and monitoring of ML systems and models
- Optimization and improvement of AI/ML and data solutions, libraries, and frameworks
- Execution of ML tests and experiments
Software engineers
Key responsibilities:
- Design and development of software systems supporting AI/ML and data solutions
- Software maintenance, optimization, and modernization
- Cross-functional collaboration with AI/ML, data, management, and design experts
DevOps engineers
Key responsibilities:
- Shortening and enhancement of the development lifecycle for AI/ML and data solutions
- Automation and optimization of the work of data/ML engineering, software development, and IT operations
- Deployment process monitoring and troubleshooting
