We specialize in designing and implementing precision question-answering systems using graph databases and AI agents.
Our expertise in cutting-edge technologies, proven design patterns, and reusable code from past projects has enabled us to deliver significant cost savings to our clients.
We respect our clients' existing requirements—whether on local or cloud environments—ensuring compatibility with their applications, security measures, and architectural frameworks. Our solution integrates seamlessly into their existing pipelines.
Our experts have extensive experience implementing and integrating advanced AI agents and graph databases within major financial institutions operating in highly regulated environments.
Recognizing that every customer, project, and environment is unique, we take a highly individualized approach to meet specific needs effectively.
Our collaboration includes, but is not limited to:
Assessing the current environment and existing solutions, including an independent evaluation of performance and establishing new baselines.
Defining SLAs to be met by our experts.
Assigning a dedicated expert responsible for the project, available on-site as needed.
Evaluating upstream data and developing necessary transformations.
Deploying and integrating the Dynocortex solution into the client’s existing MLOps environment.
Training and fine-tuning models as required, as well as integrating the client’s existing models.
Establishing a continuous quality and performance monitoring framework.
Training the client’s experts to take over the operation and maintenance of the solution.
Implementing cost monitoring and recommending optimizations to reduce expenses on LLMs and cloud services.
Conducting a security audit of the overall solution and implementing necessary improvements in collaboration with the client’s experts.
