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AI and ML solutions

Accelerate decision-making, streamline operations, and wow users with state-of-the-art artificial intelligence and machine learning technology

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Featured AI/ML solutions

and focus areas

Guide business decisions with highly accurate, granular forecasts of global-scale disruptions, market trends, operational risks, customer demand, user churn, and more.

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.

Virtual agents and chatbots, electronic discovery, or recommendation engines — our NLP solutions bring human-like intelligence to your digital products.

Automatically classify text, images, audio, and videos, generate metadata, uncover insights, and analyze content for marketing, UX, and other purposes.

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

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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

  • Basic AI chatbots
  • Sentiment analysis
  • E-discovery and information extraction
  • Content and code generation
  • Fast and optimal for basic, non-custom use cases
  • Lower short-term costs
  • Limited customizability and functionality

Customize third-party AI with proprietary data

Build highly customized enterprise tools supercharged by AI

  • Virtual agents
  • Specialized AI copilots
  • Decision support
  • Specialized content and code generation
  • Prediction, search, and recommendation engines
  • Highly customizable and functional
  • Better control over data shared with third parties
  • Additional infrastructure is required

Train custom AI/ML models

Create proprietary ML models and harness the full potential of AI

  • Custom industry-specific generative and predictive AI tools
  • Applications with a high degree of security
  • Optimal for unique use cases and custom products
  • Full control over IP
  • High entry threshold due to development and expertise costs

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.
AI solution design and development
Delivery takes the form of agile sprints, and you always get 100% transparency regarding team performance and solutions status.
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.
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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

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See what clients say about us

“AgileEngine delivers quality work, much of which can be attributed to their ability to supply such expert resources that fit well with the internal tech stack. They’ve effectively become part of the internal team while providing a good ROI. Responsive and timely, they communicate seamlessly.”

Chris Johnson

CTO, Centriq

“AgileEngine’s developers have adjusted well to the complex software they had little prior experience with. Still, they have performed to a level on par with the in-house developers. They have been eager to learn and contribute, becoming invested in the overall quality of the deliverables.”

Kevin Heidorn

COO, Yobi

“Unlike other providers, AgileEngine offers a competitive price while still doing high-quality work. They focus on building a successful product and not just on getting paid, which fosters a positive working relationship. The team communicates well and is open to changes in project scope.”

Igor Minin

VP of Engineering, iControl

“AgileEngine built a quality product, overcoming communication challenges and several fluctuations in staff. Their CEO’s strong leadership and desire to exceed expectations helps them stand out among other vendors, although clearly defining project ownership is recommended for future endeavors.”

Doug Ramsay

Former Director of Engineering, Livingsocial

Engage the top 1% of remote AI experts

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Why choose our

AI Studio

8+

of experience with ML solutions

10+

industries in our AI, ML, and data portfolio

2x

efficiency 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

Discover more advantages of engaging our AI architects and developers

Book a consultation

Thiago Dutra | Director of Engineering, Americas

Explore AI/ML development strategies with our expert

Talk to Thiago >

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

Success stories

transvoyant-66429c9d2d3b9
AI-driven supply chain analytics leveraged by Fortune 500 brands
Triple lift
AI-powered AdTech trusted by Microsoft, Verizon, and Toyota
starz
AI and data solutions for a premium TV network
Custom software engineering, design, and data solutions trusted by industry-leading brands
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Dedicated teams
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