Custom AI Solutions that are Tailored to Your Business
No two firms are identical. Leverage ADI to build data and AI solutions that are tailored to your unique requirements.
AI Projects Fail for Two Main Reasons
It’s well understood that you can’t just drop AI on top of something and expect magic to happen. There is a tremendous amount of foundational work that is required to implement successful AI solutions.
01
Laying the Right Foundations
Reliable, accurate and deterministic AI only happens if you solve the foundational data challenges, and tailor AI to your business. This means cleaning and connecting your data, building the semantic and contextual layer, and tuning models.
02
Limited Resources and Expertise
Most companies simply do not have the resources or domain expertise to execute a data and AI strategy. These companies need help.
The Data Foundation Is Key to Your AI Strategy
Our engagements always start by understanding your data and preparing it for effective AI operations.
Data Quality
ADI comes equipped with a number of tools to achieve a high quality data footprint. These include entity resolution and data matching tools, reconciliation workflows, and deduplication capabilities.
The challenge is that most companies simply do not have the resources or domain expertise to execute a data and AI strategy.
Semantic Layer
We begin by semantically profiling your data estate to uncover relationships and meaning — establishing the groundwork for AI to interpret information correctly.
Context Engineering
We build the contextual framework your AI solutions rely on, ensuring the platform understands your data in the right business context.
Model Tuning & Training
We fine-tune models to improve performance, accuracy, and quality — ensuring outcomes align with your organization’s needs.
How ADI Services Help You Succeed with AI
Our team of data experts offer a free consultation, right down to selecting the right LLM for your project.
Create an AI-Ready Data Foundation
The data foundation is key to your AI strategy. Our engagements always start with semantically profiling your data estate and building out the context engineering required for AI solutions to operate effectively on your data. We can also help with fine tuning models to further improve performance, accuracy and quality.
Rapid Prototyping
Automated Data offers a services capability to help you achieve your data and AI objectives. Using the ADI platform, our team can accelerate the building of the AI-ready data foundation and implement AI solutions. Indeed, we can typically leverage our platform to prototype a use case in a few days.
Automate Workflows
Once the data foundation is laid, our team then helps build out workflow automation based on your requirements. We always suggest starting with human-in-the-loop workflows so that operators are in full control of the AI outcomes before allowing more autonomy or reasoning (i.e., agentic).We move at your pace, and adapt the ADI platform to your needs.
No Guesswork Needed
How long does it take to install the ADI platform?
ADI is containerized, and runs in any environment that runs Docker. Once the firewall ports are open, ADI can be deployed in your technology environment in minutes.
How long does it take to integrate the ADI platform?
ADI has an extensible list of connectors for email, documents, applications and databases. Additional connectors can be added, typically within two to three days.
How long does it take to build AI-ready data?
The answer unfortunately depends on the number of data sources, but our semantic profiler is fully automated and can profile a data source in seconds. The building of a prompt library typically takes a skilled engineer a half day. We find that the companies start seeing value from the ADI platform within a week or two of implementation.