AI/Machine Learning

Empower your business
with our expert AI/ML
development services

We offer a complete range of artificial intelligence and machine learning development services tailored to your industry and solution types with a strong focus on responsible AI practices, data security, and thoughtful discovery in every project.

About us

As a leading AI/ML development company, Dualboot Partners specializes in delivering tailored software products that drive efficiency, streamline operations, and unlock new growth opportunities.

We design, build, optimize, and support AI/ML solutions of any complexity, focusing on scalability, cost savings, and delivering impactful business results through next-generation technologies.

  

Trusted by industry leaders, from startups to Fortune 500
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How we work

If your team lacks the specialized expertise to build and scale AI or ML solutions, our artificial intelligence development services are designed to bridge that gap. We focus on delivering ROI while ensuring regulatory compliance, so you can adopt AI smoothly and effectively within your existing workflows.

Our AI and Machine Learning core offerings

We offer a comprehensive range of AI and Machine Learning development services, specializing in agentic generative AI. Whether you’re enhancing an existing system with AI or looking for a technology partner to bring your next big AI project to life, we have the expertise to meet your needs.

AI consulting

AI consulting

We begin with a comprehensive AI readiness assessment and provide actionable recommendations on fulfilling your business goals with the help of readily available or custom AI solutions.

AI model training

AI model training

We fine-tune, optimize, and train AI models on your data to ensure accuracy, performance, and reasoning quality using unsupervised, semi-supervised, and fully supervised methods that match your business needs.

AI application development

AI application development

We use our extensive experience in software product development and artificial intelligence to design and build AI and machine learning solutions that help you achieve your goals and stay ahead of the curve in today’s competitive market.

Generative AI

Generative AI

Leverage the latest and greatest machine learning models to breathe new life into your products and unlock new dimensions of AI-powered user interaction and ad hoc creativity for stellar next-gen UX.

MLOps

MLOps

AI adoption spans beyond custom ML solutions. We help turn AI/ML development into a company-wide program aimed at improving your operational efficiency and making AI an integral part of your engineering paradigm.

AI app maintenance

AI app maintenance

Once your AI-powered features are developed, we help you scale them to other business processes, add new data points, and refine their accuracy by retraining/tweaking underlying AI models.

Vector

How we work

Our approach to building AI and Machine Learning solutions

Technical expertise with a business-focused approach
We combine deep AI expertise with a pragmatic business mindset, avoiding the common pitfall “AI for AI’s sake.” Our AI/ML solutions deliver measurable ROI and clear process improvements by applying the right technologies to each specific business challenge.
Consultative partnership
We work as an extension of your own team, not just as a contractor. This means transparent communication about the benefits and limitations of AI, knowledge sharing throughout the project, and products that your team can maintain and grow long after launch.
Commitment to ethical, bias-free AI
Our approach ensures responsible AI design, prioritizing fairness, explainability, and user data protecti
on. We align every AI solution with ethical regulations and best practices, balancing innovation with care for your customers’ needs.
Focus on data excellence and governance
We treat data as both the fuel for AI features and a serious responsibility. Our strict data management policies ensure high-quality input, secure handling of sensitive information, and regulatory compliance while maximizing the value of the insights gained.

Why choose Dualboot Partners for your next AI project?

We combine expertise, innovation, and a collaborative approach to validate your AI concept, accelerate MVP development, and scale your solution while keeping costs under control.

AI-based, in-house legacy modernization platform:

Leverage 3PO, our proprietary legacy software migration accelerator, designed to streamline modernization efforts and backed by our deep expertise in artificial intelligence.

Responsible, security-first AI development:

With the rapid adoption of AI, concerns around security, fairness, and bias are more critical than ever. Our AI models are built with robust safeguards and comply with industry regulations.

Tailored AI/ML solutions:

We don’t believe in the one-size-fits-all approach. Each AI solution is carefully crafted to align with your specific business goals and deliver measurable outcomes.

Proven track record in AI/ML development:

From generative AI tools to advanced ML models, we have successfully delivered various solutions that efficiently solve industry-specific challenges across multiple industries.

Collaborative partnerships:

We act as an extension of your team and work closely with your stakeholders to deeply understand your needs, delivering AI and ML development services that seamlessly integrate into existing workflows and provide long-term value

End-to-end engineering expertise:

Our team has deep technical expertise in both mainstream and specialized technologies, allowing us to tackle complex AI software development challenges and ensuring seamless integration and scalable solutions.

AI-based, in-house legacy modernization platform:

Leverage 3PO, our proprietary legacy software migration accelerator, designed to streamline modernization efforts and backed by our deep expertise in artificial intelligence.

Responsible, security-first AI development:

With the rapid adoption of AI, concerns around security, fairness, and bias are more critical than ever. Our AI models are built with robust safeguards and comply with industry regulations.

Tailored AI/ML solutions:

We don’t believe in the one-size-fits-all approach. Each AI solution is carefully crafted to align with your specific business goals and deliver measurable outcomes.

Proven track record in AI/ML development:

From generative AI tools to advanced ML models, we have successfully delivered various solutions that efficiently solve industry-specific challenges across multiple industries.

Collaborative partnerships:

We act as an extension of your team and work closely with your stakeholders to deeply understand your needs, ensuring AI solutions that seamlessly integrate into existing workflows and deliver long-term value.

End-to-end engineering expertise:

Our team has deep technical expertise in both mainstream and specialized technologies, allowing us to tackle complex AI software development challenges and ensuring seamless integration and scalable solutions.

Engagement models for AI/ML development

We offer tailored, cost-efficient delivery options that match your project’s type, resource needs, and process requirements.

Time &
Materials

Ideal for dynamic AI projects, this flexible model allows you to control costs while adapting to evolving requirements. You pay only for the work completed, ensuring transparency and budget efficiency.

Analysis &
design

If your in-house team lacks artificial intelligence expertise, we provide staff augmentation services to seamlessly integrate into your development process, bridging knowledge gaps and accelerating implementation.

Retainer

For ongoing AI solution maintenance, our fixed-fee retainer model ensures continuous support, from fine-tuning AI models and integrating new data sources to managing MLOps and redeployments.

Unlock AI Potential Without the Complexity

Unlock AI Potential
Without the Complexity

Not sure how to build an AI-powered product efficiently and cost-effectively? We’ll handle the talent, development, and maintenance — so you can focus on results.

Our AI/ML implementation process

Our strong foundation in software development allows us to apply core best practices to AI and ML  services, while adapting to the unique challenges of building AI-powered solutions.

1. Software product discovery:

The discovery process is fundamental to understanding the business context and challenges, identifying goals and areas of improvement, and outlining the plan of AI adoption by your organization.

2. Data source selection and preparation:

High-quality data is vital for the operation of all ML solutions. We dive deep into your data pool, select the right sources, and design ETL mechanisms to keep your AI pipeline full.

3. Architecture design & Scope definition:

We design the system architecture, select the most suitable AI model, define the project scope, and break it down into tasks—providing clear cost and timeline estimates.

4. Proof-of-concept:

To assess feasibility and validate data quality, we develop a proof of concept (PoC). This step mitigates risks and ensures the AI solution aligns with your business needs.

5. AI product development:

Our team builds and integrates the AI solution, ensuring seamless data connections, robust functionality, and compliance with security and performance standards.

6. Monitoring and continuous improvement:

AI and ML systems evolve over time. We provide ongoing support, fine-tune models, and integrate new data sources to optimize performance and enhance long-term impact.

Common cases for AI/ML development services

From natural language processing to predictive analytics, our AI experts, data scientists, and engineers work together to deliver impactful artificial intelligence services.

Our staff augmentation approach

AI-powered process automation:

Streamline critical workflows with AI-driven automation that effortlessly ingests, processes, and transforms data.
  • Fully automated, AI-powered call centers
  • Intelligent risk management and forecasting
  • Faster product development cycles
  • Automated credit scoring and loan approvals
  • Smart support ticket classification and routing
  • Fraud detection systems for financial transactions
  • Self-managing inventory systems
  • Document scanning, summarization, and archiving

Recommendations & predictive insights:

Deliver smarter, data-driven experiences that boost engagement and drive revenue.
  • Smarter cross-sell and upsell recommendations
  • AI-powered behavioral analytics for real-time user insights
  • Interactive product search and selection assistants
  • Hyper-personalized product listings and marketing campaigns
  • Dynamic pricing strategies
  • Predictive maintenance to prevent downtime

Chatbots & AI assistants:

Create intelligent, self-learning assistants that integrate real-time data for fast, accurate responses.
  • AI-powered query tools for business intelligence
  • Specialized chatbots for recruiting, customer service, and operations
  • AI agents for niche research and analysis
  • Automated appointment scheduling and reminders
  • Employee onboarding assistants
  • AI-driven travel recommendation engines

AI and deep learning project deliverables

Deliverables vary broadly depending on the project scope, engagement model, and development stage—whether the project focuses on research/discovery, prototype/PoC development, or a production-ready system. Regardless of the approach, you can expect:

Technical documentation:
  • Software requirements specifications (SRS)
  • System architecture diagrams
  • Visualized data flows
  • API documentation
AI/ML components:
  • Trained machine learning models
  • Configuration files
  • Model explanation
  • Model retraining manuals
Development artifacts:
  • Commented source code
  • Data preprocessing scripts
  • Model training scripts
  • Testing framework
Data artifacts:
  • Cleaned, normalized datasets
  • Data dictionaries
  • Data quality reports
Deployment artifacts:
  • Containerized applications
  • CI/CD pipelines
User-facing components:
  • Application interfaces (web, mobile, or API)
  • User guides and documentation

Our tech stack

Our tech stack includes proven tools and frameworks for building reliable, efficient, and scalable AI and ML solutions.

Meet our team

Bringing together AI experts, data scientists, and engineers to deliver impactful solutions.

CTO CTO
Provides direction and management for the delivery team, ensures the scalability and security of systems.
Product Director Product Director
Leads the successful launch and lifecycle of software products, providing strategic direction and overseeing execution to ensure timely delivery within budget and scope.
Solutions Architect Solutions Architect
Designs scalable and robust software architectures that align with business and technical requirements.
Design Lead Design Lead
Directs the design team to create visually compelling and user-centric interfaces. 
Technical Team Lead Technical Team Lead
Guides the development team with technical leadership and mentorship. Oversees code quality, enforces best practices and ensures timely delivery of solutions that meet both technical and business requirements.
Business Analysts Business Analysts
Act as liaisons between stakeholders and the development team, translating business needs into detailed, actionable requirements.
Designers Designers
 Develop visually engaging and user-friendly interfaces that elevate the overall product experience.
Software Engineers Software Engineers
Build and maintain software products by writing, testing and optimizing code.
Data Engineers Data Engineers
Design and manage data pipelines and architecture to support analytics and business intelligence needs.
QA/Testers QA/Testers
Ensure the product meets quality standards through rigorous testing and validation.
DevOps DevOps
Automates and streamlines development, deployment and operations processes to support continuous integration and delivery.

Cost drivers in AI projects

The cost of AI/ML development depends on multiple factors, from data processing to long-term optimization. Here’s a breakdown of key cost drivers:

Development
costs

  • Data collection, cleaning, 
and preparation.
  • Proof-of-concept (PoC) development.
  • Model training and fine-tuning.
  • Full-scale implementation and deployment.

Infrastructure
costs

  • Cloud computing resources for model training and storage.
  • Specialized on-premise hardware for AI processing.

Operational
costs

  • Ongoing model retraining and performance optimization.
  • Data pipeline management and scaling.
  • AI/ML development costs are largely driven by data preparation and skilled ML engineering and are higher than those of traditional software development.
  • Solutions with relatively small models and moderate complexity can increase costs by 30-50% compared to conventional software. Meanwhile, complex deep learning systems trained on vast datasets may require 3x-5x the investment of a traditional build.

Client spotlight

Case Studies
Real-world examples of how our AI and ML solutions solve complex problems and deliver measurable results.

  • 3PO

    3PO uses AI to automate processes, reducing costs and risks while providing insights for business growth.

    3po

  • PetScreening

    Developed a virtual veterinarian tool integrating proprietary and AI-driven content, boosting monthly growth by 22%.

    Case studies

What Our Clients Say About Us

Our solutions tackle complex challenges while driving real business impact for our clients.

“Dualboot was able to break down large problems into smaller stories with reasonable estimates, and work with a high degree of independence to complete tasks.”

Andy Jenkins
CEO

“They’ve adapted to our needs as we’ve progressed and have been willing to tackle our challenges.”

Brandon Nelson
Director of Business Technology

What our experts say

“AI is no longer a luxury — it’s a necessity for staying competitive. Success isn’t just about adopting AI; it’s about making it work for your business.
At Dualboot Partners, we cut through the noise to deliver AI solutions that are both practical and transformative — because your business deserves more than experiments. It deserves outcomes.”

Ben Gilman

Ben Gilman

CTO at Dualboot Partners

Insights

Explore the latest trends and strategies shaping the future of AI and machine learning.

Frequently asked questions

What types of AI/ML development services do you offer?

We provide end-to-end AI and machine learning solutions, including custom model development, systems integration, and cloud deployment. Our services span natural language processing, computer vision, predictive analytics, and agentic GenAI.

How can AI and ML be applied to solve specific business problems?

AI and ML can improve decision-making, automate processes, and enhance the customer experience. For instance, AI-powered contract management platforms can efficiently extract key data from documents, streamlining operations.

How long does AI model training typically take?

Training duration varies depending on data complexity and project requirements but typically lasts 2-8 weeks. Our AI team optimizes the process using tried-and-tested techniques to reduce training time while maintaining the required level of accuracy.

Can you build custom artificial intelligence services for our specific business needs?

Absolutely, we specialize in creating tailored AI/ML solutions that address your unique business challenges. Our team has extensive AI expertise across healthcare, fintech, retail, manufacturing, and other industries.

What’s your approach to AI adoption for businesses new to artificial intelligence?

We begin with a thorough assessment of your business needs and data availability. Then we develop a phased implementation plan with clear success metrics to ensure smooth AI integration with your existing systems.

How do you ensure the quality and security of your machine learning models?

We implement rigorous testing protocols and validation frameworks throughout the AI product development lifecycle. Each AI-powered solution undergoes extensive performance and security evaluation against industry benchmarks before deployment.

Let’s build impactful 
AI solutions together!

Need to scale fast without compromising quality? Our AI experts are ready to help.

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