Software

AI Software Development

The AI software market is rapidly evolving. Clients need a partner with end-to-end design, development, and integration skills. Our team delivers custom AI software solutions tailored to your precise business needs. Whether you need machine learning, generative AI, deep learning, big data architecture, computer vision, predictive analytics, natural language processing, or a high-level AI implementation strategy, we empower your business to innovate with minimized risk and maximized results.


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AI software development to position your company on the leading edge

The AI software development cycle goes beyond creating, training, and deploying algorithms. Other software development companies look at challenges through the same lens; Fresh software developers take a multidisciplinary approach that ensures seamless integration and accounts for your unique challenge. In addition to developing your artificial intelligence solution, we can also prototype the concept, create the product, and build the autonomous system. Fresh AI software development experts plug in where you need to:

  • Create customized solutions for your business
  • Simplify your data management, drive efficiency, and mitigate risk
  • Increase revenue and realize value faster
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AI solutions delivered across industries

Healthcare & Wellness: Accurate diagnoses, personalized treatment, and provider empowerment

Manufacturing & Automation: Streamlined production, automated visual inspections, and defect detection

Supply Chain & Logistics: Inventorying, automated project planning, and optimized route planning

Retail & E-commerce: Customer sentiment analysis, personalized experiences, and reduced customer churn

Banking & Finance: Data-based decision making, budget planning, forecasting, and strengthened security 

Insurance: Decreased manual claim management, risk management, and improve customer experience (CX)

A streamlined development approach

Phase 0: Discovery & Ideation

Fresh AI consultants will spend time learning about your specific business needs and challenges. Working together, we’ll define your objectives, document the expected outcomes of the AI software, and determine success metrics.

Phase 1: Planning & Preparation

Our AI developers will spend time with your team identifying the data sources necessary for the AI software. Then, we'll collect, prepare, and clean the data for processing before the AI model development and training phase.

Phase 2: Development & Training

We'll develop the model using the data set after choosing the appropriate AI algorithm or machine learning model based on the problem statement. Next, we'll train the AI model using part of the data set and continue testing it over time to validate performance.

Phase 3: Model Optimization

Based on the test results, we’ll refine and optimize the model for better accuracy. The process of training, testing, and optimizing continues iteratively until we reach sufficient accuracy and your requirements are met.

Phase 4: Model Deployment

Once the model is ready, refined, and performing to standards, we’ll deploy it in the intended real-world environment. We'll also ensure the model integrates with your existing processes, systems, and workflows.

Phase 5: Monitoring & Maintenance

We'll train your team to perform maintenance and continue monitoring the model's performance as needed. We’ll also explore how to scale the model in light of your future roadmap, new scenarios, and evolving business requirements.

Phase 0: Discovery & Ideation

Fresh AI consultants will spend time learning about your specific business needs and challenges. Working together, we’ll define your objectives, document the expected outcomes of the AI software, and determine success metrics.

Phase 1: Planning & Preparation

Our AI developers will spend time with your team identifying the data sources necessary for the AI software. Then, we'll collect, prepare, and clean the data for processing before the AI model development and training phase.

Phase 2: Development & Training

We'll develop the model using the data set after choosing the appropriate AI algorithm or machine learning model based on the problem statement. Next, we'll train the AI model using part of the data set and continue testing it over time to validate performance.

Phase 3: Model Optimization

Based on the test results, we’ll refine and optimize the model for better accuracy. The process of training, testing, and optimizing continues iteratively until we reach sufficient accuracy and your requirements are met.

Phase 4: Model Deployment

Once the model is ready, refined, and performing to standards, we’ll deploy it in the intended real-world environment. We'll also ensure the model integrates with your existing processes, systems, and workflows.

Phase 5: Monitoring & Maintenance

We'll train your team to perform maintenance and continue monitoring the model's performance as needed. We’ll also explore how to scale the model in light of your future roadmap, new scenarios, and evolving business requirements.

Brancher.ai is a prime example of AI software development work done at Fresh Consulting.

Brancher.ai: An AI product designed and developed by Fresh

Brancher.ai allows users without coding experience to use various generative AI models to develop software and create powerful apps. Users can easily create AI-powered apps, unlocking the potential of AI to build advanced applications without a background in traditional software development.

Multiple AI model integration: Users can perform automated, AI enhanced software development, building sophisticated apps quickly and easily by combining generative AI models like GPT-3 and DALL-E.

Expansive template libraries: Brancher.ai’s template library (100 and counting) illustrates the possibilities for generative AI apps, from helping users create chatbots to running a competitive business analysis. The end result is the ability to easily build a dynamic software experience.

No-code ideation and development: Brancher.ai offers AI tools and features that makes it easy to create powerful generative AI apps. AI enabled coding apps allow those without a background in data science or custom model development to get involved

Fresh has done AI software development for robotic computer vision projects.

Critical competency in AI software for robotic systems

We’ve expanded from our roots of developing AI for robotic systems integration and robotics engineering, but the lessons we’ve learned along the way have been invaluable and we continue providing services to leaders in the industry.

  • Fresh artificial intelligence software developers and engineers have years of experience working in the field, assisting clients in transforming their job sites. We transform software development to automate tasks, decrease the need for human intervention, and build fully autonomous systems powered by artificial intelligence.
  • If your use case is maintenance and inspection, we can help. We create autonomous maintenance and inspection robots for software testing in heavy industries like energy production, oil & gas, and petrochemical.
  • We help clients with data and simulation within the software development lifecycle, filling your technology gaps with AI. This allows you to leverage data pipelines and create more intelligent robots that automate workflows efficiently and effectively.

Our comprehensive AI development services

Fresh AI software development process experts provide various related services to assure stakeholders that every aspect of your AI solution is accounted for.

Business Intelligence (BI) is a game-changer for modern businesses in every industry. It turns raw data into actionable insights, and by uncovering big data analytics patterns, trends, and correlations in data, BI enables smarter, data-driven decision-making. Our team builds business and operational improvement platforms using AI's predictive power to give your team ready-made insights that improve decision making and confidently navigate complexity.

Generative AI presents an exciting business opportunity by automating and enhancing creative processes. If your organization seeks to produce unique content at scale, design prototypes, or personalize user experiences with rich media, generative AI presents a massive opportunity. Businesses in every industry use generative AI in digital use cases across the spectrum, from streamlining their workflows to inspiring organization-wide innovation and driving customer engagement in new, exciting ways.

Predictive analytics allows businesses to forecast future trends based on historical data and statistical algorithms. Our prediction software enables businesses to anticipate customer behavior, market shifts, and prospective risks, giving your organization what it needs to make proactive, data-driven decisions. From revamping your marketing strategies to optimizing supply chains, the science of predictive analytics paves the way for success now and scalability in the future.

Machine learning solutions transform modern businesses by automating complex tasks and delivering valuable, actionable insights from complex data sets. A machine learning model also learns from past experiences and adapts over time, improving its performance without being manually programmed with each iteration. Practical use cases of ML include predictive analytics, personalized customer experiences, and efficient resource management, among many others. Fresh AI developers provide turn-key systems that integrate data and ML to provide live insights for clients who need them.

Robotic Process Automation allows businesses to automate routine and repetitive tasks. RPA puts “software robots” in the background while your people are empowered to make more accurate decisions, maintain seamless operations, and skyrocket productivity. By imitating human actions in these tasks, RPA can perform customer service tasks, conduct data management, and carry out financial operations. The result is that RPA enables businesses to streamline their processes, improve productivity, and deliver better results, enhancing workflows and allowing their human workforce to do more fulfilling work.

Intelligent document recognition (IDR) automates the process of extracting data from documents. In leveraging the power of AI and machine learning, IDR can read, understand, and categorize data with greater speed and accuracy than is possible with traditional manual methods. From general use cases like invoice processing and customer onboarding––to something more complex like processing a database with raw data, including hard-signed or computer-generated documents filled with sections, phrases, and keywords––Fresh builds IDR solutions to parse essential data efficiently.

Fresh’s team can build AI solutions like NLP that empower modern businesses to understand and leverage “human language data.” By rapidly processing, analyzing, and comprehending large amounts of language data, NLP enables valuable outcomes like enhanced customer interactions and sentiment analysis. Other common use cases include transforming customer service with intelligent chatbots, extracting analytics insights from social media, and automating various forms of content generation. Data-driven decision-making is vital in every industry, and NLP offers businesses a pivotal method to unlock that potential.

Our AI software development process experts can build AI solutions for anomaly detection, processing massive volumes of data in seconds. AI security solutions provide a robust defense for businesses against cyber threats. By leveraging machine learning and behavioral analytics, these solutions can detect and prevent threats before they happen. As companies across the globe continue their digital transformation, AI security solutions will be essential not only to handle the sheer volume of data but also, to create greater levels of customer trust.

Computer Vision (CV) and Optical Character Recognition (OCR) technologies enable machines to "see" and "read." CV allows machines and robots to understand and interpret visual data, opening up possibilities for object recognition, quality control, and enhanced user experiences, which is work we’ve done extensively at Fresh. OCR extracts text from images or scanned documents, automating data entry, improving user accessibility, and streamlining cumbersome workflows. CV and OCR offer businesses a range of possibilities as they seek to automate their operations and accelerate growth.

AI can be used to streamline the complex process of staying compliant with regulations, some of which change consistently and are difficult to maintain awareness of. Prediction software, leveraging machine learning and natural language processing, can interpret regulatory information, track changes, and create roadmaps to take action. AI solutions can also identify potential compliance risks based on historical data, automate reporting, and decrease costly mistakes.

AI has the potential to offer personalized, efficient, data-driven strategies customized for individual sales and marketing departments. Utilizing machine learning models and predictive analytics, AI can quickly segment complex customer profiles, forecast financial data, and automate the creation and distribution of email campaigns to different audiences. Prediction software can also synthesize insights about customer behavior and emotional sentiment to recommend further optimized marketing strategies. As market competition grows, this level of precision and customization will be vital for improved customer engagement, higher conversion rates, and increased revenue.

Data analysis and data-driven decision-making are pivotal in helping businesses engage in big data analytics in a scalable way. By transforming raw data into meaningful insights, companies can unveil patterns and correlations formerly hidden by volume or the lack of a system to withdraw them. Critical business insights enable ROI-generative activities like accurate forecasting, streamlined efficiency in operations, and ideation for future business strategies. Because data-driven decision-making replaces guesswork with evidence, individuals and organizations can make more effective and reliable business decisions.

Customer Engagement Management, or CEM, is a vital tool for businesses seeking to enhance customer relationships and loyalty. AI makes it possible, and by understanding and managing customer interactions across points of interaction, companies can deliver personalized experiences, improve customer churn prediction software, and much more. Effective CEM increases customer satisfaction, drives repeat business, and fosters customer advocacy, leading to higher customer lifetime value (CLV). But this also requires an understanding of how people work, and at Fresh, with human developers creating human-centered software, clients get the best of both worlds.

AI assistant integration (like Chatbots) allows modern businesses to streamline employee workflows, improve customer service, and enhance organizational productivity. Intelligent assistants can automate rote tasks, provide instant customer support regardless of timezone, and generate valuable insights from customer interactions based on the gathered data. From automating scheduling to handling customer questions and predicting future customer needs, AI assistants can perform tasks accurately and efficiently.

Related software capabilities

Explore our other development services, which allow our team to solve challenges for your organization and others, regardless of size, industry vertical, or product category.