Artificial Intelligence/Machine Learning

AI/ML Services

Machines and systems embedded with Artificial Intelligence (AI) and Machine Learning (ML) capabilities use complex algorithms to learn and adapt for increased performance. Fresh provides AI/ML implementation expertise to help businesses create opportunities for unprecedented innovation.

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Explore our AI/ML specializations

AI Strategy

Develop an actionable AI strategy to align your emerging technology investments with business goals, driving sustainable growth and competitive advantage.

Data Engineering

Build a robust data foundation with scalable data engineering and data lake solutions, enabling seamless integration, storage, and analysis for AI-driven insights.

AI Agent Development

Empower your business with intelligent AI agents that automate complex workflows, manage tasks, and deliver personalized experiences at scale.

Generative AI

Leverage our generative AI development services to supercharge your operations,  elevate your service offerings, and implement GenAI technology.

Machine Learning

Harness the power of machine learning to automate insights, improve decision-making, and enhance efficiency organization-wide.

Computer Vision

Utilize computer vision to unlock actionable insights from images and video, automate processes, and enhance security.

AI Strategy

Develop an actionable AI strategy to align your emerging technology investments with business goals, driving sustainable growth and competitive advantage.

Data Engineering

Build a robust data foundation with scalable data engineering and data lake solutions, enabling seamless integration, storage, and analysis for AI-driven insights.

AI Agent Development

Empower your business with intelligent AI agents that automate complex workflows, manage tasks, and deliver personalized experiences at scale.

Generative AI

Leverage our generative AI development services to supercharge your operations,  elevate your service offerings, and implement GenAI technology.

Machine Learning

Harness the power of machine learning to automate insights, improve decision-making, and enhance efficiency organization-wide.

Computer Vision

Utilize computer vision to unlock actionable insights from images and video, automate processes, and enhance security.

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AI/ML consulting services that accelerate your path to value

With the efficiency, responsiveness, and competitive advantage that artificial intelligence and machine learning offer businesses, the technologies deserve a central place in a business’s strategic roadmap. Fresh provides comprehensive AI/ML consulting services to deliver ethical, secure solutions that generate value now and provide a foundation for future scalability.

  • Address real-world problems: We help businesses prioritize their most impactful AI/ML use cases
  • Deliver strategic solutions: From predictive analytics to edge AI, we offer businesses the AI/ML solutions they need to evolve and stay competitive
  • Faster, better results: Our technology expertise and proven processes help businesses move fast and adapt to change
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Is your organization ready for AI and ML transformation?

As a consultative artificial intelligence and machine learning partner, Fresh helps businesses achieve automation, efficiency, and innovation at scale.  

  • Goal Definition: How will AI move the needle for you? Working closely with internal teams, we help organizations align AI solutions with critical business objectives and strategic, measurable outcomes
  • Technical Readiness: Reviewing your organization’s technology architecture and team capabilities, we provide specialists in AI—a team tailored to your exact needs
  • Change Management: Through discovering challenges, analyzing workflows, and evaluating AI readiness, we help your business prepare for cultural adoption, workforce readiness, and organizational alignment
End-to-end AI/ML consulting

Strategic AI/ML Guidance

Our AI consultants provide expert guidance—from industry research to AI strategy workshops—to help your clients identify ideal business use cases. AI/ML readiness assessments and analysis of technology infrastructure allow us to accelerate your roadmap for AI adoption.

Data Maturity Assessments

Data is the fuel that drive AI and ML success. To enable AI project success from pilot to finished product, we help your team determine if your data is consistent, complete, and high-quality, and then take the steps needed to improve data labeling, data analytics, and other data science best practices.

Responsible AI Governance

To build trust, manage risk, and align AI applications with user needs and regulatory standards, Fresh helps businesses implement governance frameworks and create organizational alignment to build secure, explainable, well-monitored AI systems.

Versatile AI/ML Engineering

With diverse industry backgrounds and skillsets, our team builds AI solutions handling a broad range of tasks across domains. From Generative AI to Edge AI, Agentic AI (Chatbots), and Computer vision in robotics, we’re equipped to provide the consultative engineering expertise businesses need to realize success.

MLOps Services

To streamline the complexity of model development, deployment, monitoring, and maintenance—and bridge the gap between data science, software development, and IT—we provide comprehensive MLOps services. The result? The ability to scale, pivot, and adapt with ease, post-deployment.

Embedded Team Support

Ongoing AI system management is critical. Fresh offers dedicated AI/ML specialists to work within organizations, empowering internal teams to focus on strategic initiatives while we focus on improving operational efficiency, reducing cost,  accelerating innovation, and maintaining industry compliance.

Strategic AI/ML Guidance

Our AI consultants provide expert guidance—from industry research to AI strategy workshops—to help your clients identify ideal business use cases. AI/ML readiness assessments and analysis of technology infrastructure allow us to accelerate your roadmap for AI adoption.

Data Maturity Assessments

Data is the fuel that drive AI and ML success. To enable AI project success from pilot to finished product, we help your team determine if your data is consistent, complete, and high-quality, and then take the steps needed to improve data labeling, data analytics, and other data science best practices.

Responsible AI Governance

To build trust, manage risk, and align AI applications with user needs and regulatory standards, Fresh helps businesses implement governance frameworks and create organizational alignment to build secure, explainable, well-monitored AI systems.

Versatile AI/ML Engineering

With diverse industry backgrounds and skillsets, our team builds AI solutions handling a broad range of tasks across domains. From Generative AI to Edge AI, Agentic AI (Chatbots), and Computer vision in robotics, we’re equipped to provide the consultative engineering expertise businesses need to realize success.

MLOps Services

To streamline the complexity of model development, deployment, monitoring, and maintenance—and bridge the gap between data science, software development, and IT—we provide comprehensive MLOps services. The result? The ability to scale, pivot, and adapt with ease, post-deployment.

Embedded Team Support

Ongoing AI system management is critical. Fresh offers dedicated AI/ML specialists to work within organizations, empowering internal teams to focus on strategic initiatives while we focus on improving operational efficiency, reducing cost,  accelerating innovation, and maintaining industry compliance.

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Comprehensive AI/ML change management services

To helpfully guide organizations undergoing AI/ML adoption, Fresh leverages a change management approach that corresponds to best practices, while being tailored specifically to the nuances of AI transformation.

+ Assess the organization's current state, culture, and readiness for AI/ML.

+ Raise awareness of AI’s potential benefits and risks to build desire and reduce resistance.

+ Gain leadership alignment and stakeholder buy-in emphasizing a people-centric perspective.
Identify skill gaps and anxieties about job impacts early on.

+ Create trust and transparency, critical for AI adoption success.

+ Develop a roadmap including clear AI/ML objectives, scope, resource needs, integration points, and ethical considerations.

+ Design training and upskilling programs to build ability, while factoring in continuous learning and responsible AI use.

+ Involve cross-functional change teams to address process redesigns and new workflows.

+ Apply agile and design thinking methods to iteratively refine AI use cases and adoption mechanisms.

+ Roll out AI/ML deployments gradually, starting with pilot projects to test real-world impact and gather feedback.

+ Use frequent, transparent communication and coaching to reinforce knowledge and reinforce new behaviors.

+ Leverage AI-driven analytics to monitor adoption, model performance, and employee sentiment in real time—enabling quick course corrections.

+ Manage resistance empathetically, addressing concerns about job changes and ethics.

+ Make AI adoption a natural part of daily operations via ongoing communication, leadership reinforcement, and continuous training opportunities.

+ Foster a culture of experimentation, agility, and continuous improvement to adapt AI tools to evolving business needs and regulations.

+ Establish governance frameworks for responsible AI use, ethical compliance, and transparency.

+ Continuously measure outcomes using adoption rates, employee engagement, business impact, and ROI metrics.

+ Use these insights to optimize AI solutions and change management approaches.

+ Communicate successes and learnings across the organization to reinforce momentum.

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Unlock the full potential of AI/ML.

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