Skip to content Skip to footer

How does it work ?

INTRODUCING POSTMASTER

Current systems often excel in their roles, offering predictability, auditability, and efficient resource use compared to AI. However, they require data to be presented in a specific format to function correctly. For example, they struggle to comprehend requests written in a letter. This is where Synapse Postmaster™ comes in, bridging the gap by enabling systems to understand unstructured information.

Synapse Postmaster™ acts as the crucial link between paper-based and digital processes. It analyzes unstructured documents, such as emails or scanned letters, and extracts the necessary information for seamless integration into back-office systems. For instance, it can scan an email inbox, identify the client and relevant contract, determine the request type, and deduce the required action. The range of applications is extensive—from triggering workflows based on email requests to recording paper requests in a CRM system, the possibilities are vast.

To accomplish this, Synapse Postmaster™ incorporates various AI technologies.

At the core of Synapse Postmaster™ lies the inference engine, the driving force behind our AI-powered solutions. More than just a decision-maker, it serves as a strategic coordinator, expertly processing data and making decisions that propel your business forward. What sets our inference engine apart is its ability to not only manage tasks but also to understand the context of your customers, thanks to the integration of advanced embeddings.

These embeddings provide the inference engine with deep insights into your customers' needs, preferences, and behaviors, translating complex data into a form that AI can effectively process. With this contextual understanding, the inference engine delivers smarter, more personalized decisions, ensuring that every interaction and outcome aligns seamlessly with your business objectives.

When specialized expertise is required, the inference engine effectively delegates tasks to other AI technologies. For example, it uses Large Language Models (LLMs) to handle complex language tasks—whether it’s responding to customer inquiries, translating content, or generating new material. It also leverages traditional machine learning models, specifically tuned to your domain, to offer precise, data-driven insights when needed.

By placing the inference engine at the center of our solutions and enriching it with the contextual knowledge provided by embeddings, we deliver AI that not only makes decisions but also understands your customers. This comprehensive, intelligent approach ensures that every decision is context-aware, every action is optimized, and every outcome delivers tangible value to your business.

But Synapse Postmaster™ is not just a brain; it needs eyes to read documents. Postmaster is a multi-channel engine, capable of using various tools to act as its eyes and ears, such as OCR for reading images, Apache Tika for parsing office documents, and Whisper for speech-to-text conversion.

At the core of our AI-powered solutions is the inference engine, a strategic coordinator that drives your business forward by intelligently processing data and making informed decisions. This inference engine is not just a decision-maker—it’s the heart of a sophisticated AI system, utilizing a range of tools to deliver optimal results.

Embeddings are one such tool, providing the inference engine with deep insights into customer context, enabling it to understand nuances in customer needs and behaviors. This allows for more personalized and effective decision-making. Similarly, the inference engine leverages LLMs for complex language tasks, such as content analysis. For domain-specific tasks requiring precision, the engine turns to traditional machine learning models, trained to deliver accurate, data-driven insights.

By integrating a variety of AI tools, the inference engine ensures that every decision is informed by the most accurate understanding of the context. This integration creates a unified, intelligent system that seamlessly adapts to your business’s unique needs, driving smarter decisions, enhancing operational efficiency, and delivering tangible business value.

How to implement ?

As with any successful project, it’s essential to clearly communicate both the objectives and the resources available to achieve them.

Objectives should be defined in practical, actionable terms, ensuring that each is addressed through a specific processing workflow for focused and efficient outcomes.

Next, it’s crucial to establish the integration ecosystem by identifying the incoming and outgoing systems. This helps determine which key data points need to be extracted and how they should be processed to meet the project’s objectives.

Leveraging advanced resources, such as AI models, will enable Postmaster to understand and address the core needs within the data, even when some details may be missing. In these cases, additional systems or data sources will provide the necessary information.

Additionally, strict management rules and predefined processes ensure that all actions are compliant with organizational standards and regulations. These guidelines help maintain consistency and accuracy across the project.

When dealing with systems like ERP, CMS, or CRM, defining data becomes critical to avoid mapping issues. The first step, therefore, is to establish a comprehensive data dictionary and identify the source of each data point, whether it originates from an external system or is calculated within the system.

At this stage, the project divides into two strategic components:

1- Integration: This involves deploying the necessary resources and optimizing how the system handles and responds to various inputs.

2- Model Development: the team will configure Postmaster knowledge base, ensuring it is equipped to know exactly when and how to use each resource.

This approach ensures that the system operates with precision and delivers consistent, high-quality outcomes.

How to deploy?

We take a meticulous approach to ensure the smooth integration of Postmaster into your existing ecosystem, with a focus on using standard technologies to streamline this process.

To uphold the highest level of data security, we provide Docker images that can be deployed on your in-house infrastructure, keeping your data secure.

Additionally, we supply Terraform scripts as installation examples, making the setup process straightforward and easy to follow.

Our development relies on the Quarkus Framework, a Kubernetes-native Java framework designed for building lightweight, fast, and efficient applications, particularly optimized for cloud and container environments. Quarkus significantly reduces memory usage and startup times compared to other Java-based frameworks.

To further simplify integration, we offer REST services as entry points and utilize Apache Kafka for efficient result delivery, ensuring smooth and reliable data flow within your system.

en_USEnglish