Our platform ingests and normalizes data, integrates seamlessly with your existing legacy systems, and gives an environment to build, train, and deploy AI quickly. With built-in governance, compliance, and AI model flexibility, Shoreless replaces the chaos of disconnected systems with a single, unified solution that accelerates time to ROI.
Key Features
Lightning-Fast Data Integration
Whatever the tech infrastructure, we can handle it. Our platform allows us to quickly connect to all of your systems, databases, applications, and files. Our simplified process allows us to focus our energy on solving your problem versus rebuilding the systems.
Personalized AI Agents
We have pre-configured AI agents that provide a wide range of skills. If we don’t have one that fits your need, new AI agents can be easily created and customized with specific roles, responsibilities and even personality assessments.
Contextual Recognition
The struggle is real for AI when organizations need documents incorporated into the models. Shoreless utilizes advanced OCR allowing us to read formatted and unformatted documents. We even took it a step further and organize the data from them instantly.
Verification & Governance
The speed of trust with AI is earned, not given. Throughout our process we ensure appropriate human-in-the-loop checkpoints and personalized AI agents to provide oversight and maintain accuracy. As your trust grows, some of this can be throttled back to optimize efficiency.
Expert Automated Coders
Our AI agents aren’t just capable of handling the work for your needs. They take it a step further by writing and committing code under guardrails to generate better skills and abilities within your environment.
Legacy System Integration
If you are working within a system that is notoriously hard to work with outside of its own ecosystem, don’t rule out AI. We have worked with some complex systems and we can provide custom integrations to tackle those unique systems.
Agile Development
We provide a fast MVP approach to AI. This allows us to prove the value of AI within your use case and then scale it from there. Our typical approach is Azure deployments to provide enterprise scalability.
