AI That Automates, Predicts, and Scales With Your Business

We engineer custom AI systems using TensorFlow, PyTorch, and enterprise LLMs (OpenAI, Llama), combining RAG pipelines, vector search, and API-driven reasoning to automate workflows, process unstructured data, and deliver accurate, production-grade intelligence.

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    Our Benefits

    With DEVtrust’s custom AI solutions, your business gains predictive intelligence, automated workflows, and deep analytics, improving decision accuracy. 

    Advanced AI Automation

    Your processes are automated using custom NLP and machine learning pipelines that continuously run without manual oversight. From document parsing to decision routing, our automation agents remove repetitive workloads and eliminate bottlenecks, enabling your teams to focus on higher-value tasks.

    AI-Powered Predictive Models

    We build forecasting and classification models using Python, TensorFlow, and PyTorch that learn from your historical data to predict demand, detect anomalies, and identify patterns in real time. These models reduce uncertainty, prevent operational failures, and help you make accurate decisions across every function.

    Deep Analytics and Insights

    We implement analytics systems that combine model outputs with real-time business metrics. This includes feature-level insights, confidence scores, and error analysis, giving you actionable visibility into performance. With centralized dashboards, you can track model behavior, data flow, and key KPIs in one place.

    Scalable Solutions for Growing Businesses

    Our AI systems are engineered for horizontal scaling using containerized deployments, cloud-native APIs, and distributed data pipelines. Whether your workload increases in data volume, user traffic, or model complexity, the architecture maintains low latency, high throughput, and stable performance as your business expands.

    Key Results

    Our solutions have consistently created measurable impact for clients across diverse industries, helping them achieve tangible business results.

    92%

    Accuracy in Task Execution

    Custom AI models ensured high data-handling precision, minimizing errors and reducing the need for rework.

    90%

    Faster Response Times

    AI-driven systems processed queries and requests in near real-time across multiple channels, enhancing efficiency and user experience.

    Our Custom AI Solution Development Process

    A clear, engineering-first approach built around a proven machine learning pipeline. 

    Data Preparation and Validation

    We begin by mapping all relevant data sources, including CRMs, ERPs, third-party APIs, and operational databases. This includes handling missing values, reducing noise, encoding categorical features, and preparing training datasets that support NLP, classification, or prediction tasks.

    Model Development

    With clean datasets ready, we build machine learning or NLP models and run hyperparameter tuning, cross-validation, and feature engineering to maximize model performance. Each model is designed around your business’s exact decision points, ensuring it mirrors real operational logic.

    API and System Integration

    Once the model is trained, we convert it into a production-ready service using REST or GraphQL APIs. These APIs are deployed as serverless functions or containerized microservices, enabling seamless integration with your existing tools, dashboards, CRMs, and internal platforms.

    Model Evaluation and Real-World Testing

    We evaluate model accuracy using relevant metrics, such as precision, recall, F1, AUC, and BLEU, for NLP tasks. Performance is tested against real operational data to validate reliability and latency. Controlled pilot tests are conducted to assess automation performance, with feedback loops refining accuracy and eliminating edge-case failures.

    Production Deployment

    After passing the evaluation, the AI system is deployed through CI/CD pipelines into your live environment. We configure monitoring, logging, and usage analytics so your team can monitor behavior in real time.

    Continuous Optimization and Model Retraining

    Post-launch, we monitor model drift, update training datasets, and retrain models as your business grows. We refine accuracy, reduce latency, and optimize resource usage based on real-time feedback. This ensures your AI system stays reliable and adapts to new workflows, user growth, and changing data patterns.

    Industries We Serve

    We design custom AI solutions tailored to each industry’s unique needs, addressing specific challenges and driving meaningful impact.

    Real Estate

    We build AI-powered property management platforms and CRM-integrated systems that leverage machine learning to automate lead tracking, generate predictive analytics on property values from historical data, and optimize operational workflows.

    EdTech

    We develop adaptive learning management systems (LMS) with AI-powered recommendation engines that personalize educational content based on learner behavior and performance, enhancing engagement and improving learning outcomes.

    FinTech

    We design secure payment systems, real-time trading dashboards, and fraud detection solutions that utilize predictive machine learning algorithms to analyze transaction data, identify patterns, and flag suspicious activities to ensure financial security.

    HealthCare

    We create HIPAA-compliant EHR systems, telehealth platforms, and automated medical documentation tools that integrate AI-driven analytics to improve patient care workflows and deliver actionable insights to healthcare providers.

    Logistics

    We build real-time fleet tracking systems and freight optimization platforms that use AI-enhanced data analytics to optimize route planning, delivery efficiency, and supply chain management for large-scale logistics operations.

    We Deliver Services

    Expertise that transforms your ideas into scalable, high-impact AI-driven solutions.

    Front-end

    Interfaces built for AI-driven products. From real-time data visualizations to model outputs, workflow automation screens, chat UIs, and agent dashboards. We use React, Angular, and Next.js to create fast, responsive front-ends optimized for streaming inference results, embedding RAG responses, and rendering predictive insights.

    Back-end

    Server-side systems engineered for AI workloads, including model orchestration layers, vector database integrations, feature stores, and secure API endpoints for model inference. We build back-ends using Python, Node.js, Go, and cloud-native frameworks to support GPU scheduling, async processing, and high-throughput data flows required for production-grade AI systems.

    AI / ML

    We develop custom AI models using state-of-the-art frameworks such as TensorFlow and PyTorch. Our solutions include NLP for sentiment analysis, predictive analytics for demand forecasting, and automated decision-making systems to optimize workflows.

    CMS

    We design AI-powered CMS platforms, both custom and headless, that utilize machine learning to enhance content management and delivery. Our solutions include intelligent content recommendation engines that use AI algorithms to personalize user experiences based on browsing history and preferences.

    Databases

    We create optimized, secure database architectures that handle both structured and unstructured data, using SQL, NoSQL, and graph databases such as MongoDB, PostgreSQL, and Neo4j. Our cloud-based solutions (AWS, Azure, GCP) are designed to manage large-scale datasets efficiently while ensuring low-latency access

    UI / UX

    We design user-centric interfaces with integrated AI technologies to enhance user experience and decision-making. Using frameworks like React, Vue.js, and Next.js, we create responsive, high-performance designs that integrate real-time data analytics and AI-driven recommendations.

    QA & Testing

    We conduct unit testing, integration testing, and model validation using frameworks like Jest, PyTest, and TensorFlow to verify that AI models perform as expected. Performance testing tools like JMeter and Postman help us measure response times and handle high traffic loads.

    Our Clients

    Our reputation is built on creating great outcomes for clients.

    Case Studies

    Our AI app development expertise ensures reliable, high-performance applications.

    We built a HIPAA‑compliant web and mobile platform using Azure Speech‑to‑Text, OpenAI (ChatGPT 4.0), and Nabla API to transcribe patient‑physician conversations into structured clinical notes and treatment plans.
    Results:

    • OpenAI (ChatGPT 4.0) automated clinical note generation, saving physicians up to 60% in time previously spent on administrative tasks.
    • 100 % data confidentiality and data security via HIPAA‑compliant generated notes

    DEVtrust developed an AI-powered Chrome extension for Facebook marketers, integrating NLP auto-replies, sentiment analysis, and CRM functionality. This solution reduced manual effort, increased response rates, and enabled marketers to track leads and engage with them more effectively.

    Results:

    • 65% reduction in manual effort
    • 40% increase in response rates
    • 70% improvement in lead tracking
    • 50% growth in campaign engagement

    What Our Clients say

    Our reputation is built on creating great outcomes for clients.

    Bob_mayo

    Working with DEVtrust was a game changer for us. Their expertise in developing a modern rate management system not only streamlined our operations but also enhanced our competitive edge in the freight industry.

    Bob Mayo

    Founder & CEO – Draydex, LLC

    mordy

    DEVtrust’s Ezeryeshiva app has transformed our appointment management process. The tailored user roles & efficient scheduling system have significantly reduced our workload & improved our service efficiency.

    Mordy Stern

    Project Lead – Ezeryeshiva

    DEVtrust has totally transformed our Real Estate Management Process. Their solutions are intuitive & have significantly reduced our manual workload, allowing us to focus more on our clients.

    Josiah Hyatt

    Founder | Lic. R. E. Associate Broker

    Bring Intelligence, Automation, and Efficiency to Your Workflows

    Whether you need a custom LLM, RAG pipeline, agent automation, or predictive model, our team builds AI that performs in real production environments. Transform Your Workflows With Custom AI.

    Frequently Asked Questions

    Why should I choose custom AI solutions for my business?

    Custom AI solutions are crafted for your unique needs, helping you automate repetitive tasks, improve decision-making, and optimize business operations. By utilizing AI, you can achieve greater efficiency, reduce costs, and scale your business with more agility.

    We begin by understanding your business challenges, workflows, and data. We then design and build AI models to address your pain points and objectives, ensuring a solution that integrates smoothly and delivers measurable results.

    We’ve developed AI solutions across various industries, including FinTech, HealthTech, Retail, Logistics, and AI-powered Marketing. Our team adapts AI to fit the specific needs and regulations of each industry, delivering effective, scalable solutions.

    At DEVtrust, we design AI systems using modular architectures that can scale with your business as it grows. We also prioritize thorough testing and continuous optimization to ensure the models remain accurate, reliable, and adaptable.