Custom Data & AI Solutions to Propel Your Business Forward

We help you collect, organize and use your data to optimize your business

Simplifying Complex Data

We transform intricate datasets into user-friendly interfaces and dashboards, making data accessible and actionable.

Insightful Data Analysis

We dive deep into your data to uncover actionable insights and opportunities, driving strategic decisions and growth.

Empowering Decisions with AI

We automate processes, predict trends, and unlock innovative solutions which keep you ahead of your competition.

Some cool things we’ve worked on

Database Querying via Slack

Developing custom Slack bots or integrations that allow users to query databases directly from Slack. This provides quick access to sales figures, performance metrics, or customer information, enabling teams to make informed decisions without leaving their communication platform.

Sentiment Analysis for Brand Monitoring

Using sentiment analysis to monitor social media and other online platforms for public perception of a brand. This can provide real-time insights into customer sentiment, helping companies to manage their brand image proactively.

Personalized Customer Experiences

Leveraging AI and data analytics to personalize customer interactions on websites or in apps. By analyzing customer data, companies can customize recommendations, content, and offers in real-time, enhancing customer satisfaction and loyalty.

Automated Financial Reporting

Creating systems that automate the generation of financial reports by aggregating data from various accounting and sales tools. This can significantly reduce the time and effort required to prepare monthly, quarterly, and annual financial statements.

Real-Time Data Dashboards

Creating interactive, real-time data dashboards that aggregate data from multiple sources into a unified visual representation. These dashboards track key performance indicators (KPIs), monitor system health and provide insights into customer behavior, accessible from anywhere, on any device.

Natural Language Processing (NLP) for Customer Support

Implementing NLP tools to analyze customer inquiries and automatically route them to the appropriate department or generate instant, automated responses. This can improve response times and free up human agents to handle more complex queries.

IoT Data Integration and Analysis

Integrating Internet of Things (IoT) data streams with traditional data sources to enable advanced analytics. Applications might include smart cities, where data from sensors can optimize traffic flow, or in agriculture, where sensor data can inform irrigation and harvesting decisions.

Predictive Maintenance Systems

Using machine learning models to predict equipment failures before they happen, based on historical and real-time data. This solution can significantly reduce downtime and maintenance costs in manufacturing, energy, or transportation sectors.

Unlock the Power of Data

Next-Gen Analytics & Insights

Marketing & Advertising

Harness the power of data analytics and AI to revolutionize your marketing strategy. Dissect complex consumer data to pinpoint effective ad placements, optimize spend, and predict market trends. Automated campaign management tools adjust in real-time to audience responses, ensuring your message resonates, maximizes ROI, and captures new market segments.

Customer Service

Elevate your customer service with AI-driven chatbots and personalized interactions. Our advanced AI algorithms analyze customer behavior and preferences to deliver tailored responses, ensuring high-quality, 24/7 customer support.

Supply Chain Optimization

Optimize your supply chain with real-time analytics and predictive logistics powered by AI and big data. Our solutions provide end-to-end visibility, from raw material acquisition to final delivery, identifying bottlenecks and predicting potential disruptions before they occur. Streamline operations, reduce costs, and ensure timely delivery, creating a resilient supply chain that adapts to changing market demands and customer needs

Frequently Asked Questions

Why do I need a data warehouse?

A data warehouse is essential for consolidating disparate data sources into a single repository. This centralized approach allows for historical data analysis, trend identification, and supports decision-making processes by providing a stable, accessible, and scalable platform for business intelligence activities.

Furthermore, having a data warehouse supports the separation of analytical processes from transactional databases, ensuring that the operational systems run smoothly without the added load of complex queries.

How do I keep my data safe?

Keeping data safe involves a comprehensive approach that includes technical measures, policies, and practices aimed at protecting data from unauthorized access, corruption, or theft.

We help you implement strong access controls, use encryption, comply with regulatory requirements, conduct regular security audits and more.

What size companies need a data strategy?

Every company, regardless of size, benefits from having a data strategy.

For small businesses, a data strategy can help optimize operations, understand customer behavior better, and identify growth opportunities.

For medium-sized enterprises, it becomes crucial for scaling operations, enhancing customer experiences, and maintaining competitive advantage.

Large corporations need a comprehensive data strategy to manage vast amounts of data, drive innovation, and make data-driven decisions across global operations. Essentially, a data strategy is fundamental to harnessing the power of data to achieve business objectives, improve efficiency, and foster growth at any scale. It ensures that data is managed as a valuable resource, aligning data collection, analysis, and management practices with the company’s goals.

Why hire us?

With Vizad you get access to an experienced team who deliver solutions quickly. Our team is remote-first located in various areas across the US.

We are able to take ownership of an entire project or collaborate with in-house data engineering teams.




Successful Projects


Happy Customers

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