Organizations in industries such as finance, energy, healthcare, pharmaceuticals, aerospace, and cybersecurity must aggregate data from multiple sources to navigate complex evidence-driven decision-making processes and meet stringent regulatory compliance requirements.

The Resource Surveillance & Integration Engine—more conveniently referred to as surveilr (pronounced "surveiler")— is designed to address modern challenges by providing a centralized platform for evidence surveillance and data aggregation, enabling organizations to securely collect, analyze and audit critical evidentiary data from across their systems.

surveilr is an advanced platform designed to streamline data integration across your organization, with a special focus on evidence data — proving whether policies are being followed or whether systems are meeting key standards. Whether you’re dealing with regulatory requirements, compliance audits, or patient data privacy, surveilr makes the complex task of managing machine attestation data much easier.

💬 Ask questions about surveilr via ChatGPT. 💬 How does surveilr differ from ESBs, API Connectors, and other Integration Tools?

• Stateful Data Integration: Unlike simple data transfer tools, surveilr doesn’t just move information between systems. It stores and organizes data in a way that is standardized, making it easy to query and manage.

• Local-First, Edge-Based: surveilr processes data as close as possible to where it is collected—on local devices, laptops, or edge systems. This reduces the need for unnecessary data transfers, keeping sensitive data secure by handling it locally before sending it to a central location.

• SQL-Centric: surveilr uses the power of SQL, a universal database language, to ensure your data can be accessed, searched, and analyzed efficiently.

For industries like regulatory science, cybersecurity, and healthcare, surveilr ensures that critical data—whether it's regulatory reports, cybersecurity logs, or patient records—can be managed safely and efficiently. It supports secure data transmission and guarantees that sensitive information is anonymized or de-identified when needed, helping your organization remain compliant with HIPAA, GDPR and other data protection standards.

• Streamlined Compliance: surveilr ensures that all compliance evidence is collected, organized, and ready for audit, saving time and reducing human error.

• Data Security: surveilr’s edge-based approach ensures data stays secure by limiting unnecessary movement of sensitive information. Only what’s needed is transferred to central servers, reducing exposure and risks.

• Interoperability: surveilr integrates seamlessly with your existing systems, whether it’s email, databases, or software like GitHub or Jira, ensuring a smooth exchange of information across platforms.

• Scalability: Whether you're handling a small team or a large enterprise, surveilr’s flexible architecture adapts to your needs, providing a secure, efficient solution that grows with your organization.

One of the key reasons surveilr is so widely applicable across industries is because it’s a complete SQL-based data aggregation and orchestration platform. At its core is an opinionated, superbly designed universal relational database schema that can handle content from almost any source. This powerful schema, coupled with surveilr’s content assembler, allows it to support not only industry-neutral formats like:

• Text
• JSON
• XML
• Excel
• Parquet
• CSV

but also industry-specific formats such as:

• X.12 (Electronic Data Interchange)
• HL7 v2 (Healthcare Messaging Standard)
• FHIR (Fast Healthcare Interoperability Resources)

In today’s digital landscape, most of the data that businesses rely on to make decisions is scattered across a multitude of systems. Data might be locked away in emails, product lifecycle management (PLM) systems such as GitHub, GitLab, Jira, or Asana, or project management systems like Trello, Monday.com, and others. Similarly, systems of record such as Customer Relationship Management (CRM) systems (like Salesforce or HubSpot), Enterprise Resource Planning (ERP) systems (like SAP or Oracle), and Electronic Health Records (EHRs) in the healthcare industry house vital information that’s critical for decision making.

However, this data is not always readily accessible in one place. Pulling together information from these siloed systems to get a unified view for decision making is an enormous challenge for most organizations. surveilr steps in to bridge this gap by acting as a universal data aggregator, capable of pulling data from multiple, disparate sources and organizing it in a way that is instantly queryable.

A single edge-based binary of surveilr can securely pull data from these sources—be it emails, PLM systems, CRMs, ERPs, or specialized industry formats—and prepare it for uniform querying using SQL-friendly tools. Whether you are trying to aggregate evidence from multiple SaaS platforms, gather information from log files, or collate data from a variety of knowledgebases and local files, surveilr makes it possible to bring all that information into a cohesive, structured format.

This capability is particularly valuable because it eliminates the need for complex data migrations or manual data extraction efforts, which are often costly and time-consuming. By supporting both local-first processing and cloud-based deployments, surveilr provides the flexibility to process sensitive data behind firewalls, anonymize or clean it if necessary, and then share or store it securely. The ability to consolidate human-generated and machine-generated evidence into a single uniform format makes audits, compliance checks, and decision-making far easier and more effective.

By using surveilr as a universal data aggregator, businesses can confidently prepare and share data across internal and external systems with the peace of mind that it has been properly processed, anonymized, and secured.

In industries where supply chain partners are involved—such as healthcare, energy, and cybersecurity—vendors must often evaluate and police each other’s policy adherence. surveilr enables companies to do just that in a secure and efficient way.

With surveilr, you can collect policy adherence evidence directly from systems behind corporate firewalls. Sensitive data can be anonymized or removed entirely, allowing organizations to share just the evidence required to prove compliance without exposing proprietary or personal information. This is particularly valuable in vendor assessments, where transparency is essential, but security and privacy cannot be compromised.

Corporate compliance leaders and cybersecurity officers can also use surveilr to gather data anonymously or with attribution, depending on the need. Whether through automated processes or manual reviews, surveilr allows organizations to enforce or audit policy adherence by capturing activities across systems and verifying whether individuals or teams are following established procedures. By pulling data from emails, lifecycle tools like GitHub, SaaS platforms, or logs, surveilr provides a clear picture of whether key standards are being met.

Industries such as healthcare, energy, aviation, and other safety-critical sectors require stringent quality management protocols to ensure the safety of their operations. In these environments, failure to adhere to quality protocols can have serious consequences.

surveilr is a powerful tool for quality management organizations tasked with collecting and auditing data to ensure that staff are following proper protocols. By aggregating data from disparate systems and auditing logs or records, surveilr makes it easier to verify that proper safety and quality processes are in place. Whether for internal audits, external regulatory reviews, or continuous quality improvement, surveilr helps ensure that critical operations adhere to the highest standards.

Evidence-based decision making is the process of using data and factual evidence to guide important business decisions, ensuring that choices are grounded in reality rather than intuition or incomplete information. While this approach is critical for success, executives often struggle with gathering enough reliable evidence to make sound decisions. According to Harvard Business Review, many executives lack the data they need for decision making, which is often scattered across systems, incomplete, or difficult to access [HBR, 2020].

The challenges of evidence-based decision making are exacerbated by the lack of a unified approach to collecting human-generated and machine-generated evidence. Most businesses today rely on a patchwork of systems that store data in different formats, with no single platform capable of pulling everything together into a cohesive, queryable format. This is where surveilr stands out.

Unlike other tools that handle data exchanges but leave the data unorganized, surveilr not only gathers data from multiple sources but also organizes it into a unified format that is instantly queryable. This means that the evidence collected—whether it's from emails, databases, SaaS tools, log files, or industry-specific formats like HL7 or FHIR—can be queried and analyzed with ease using SQL-friendly tools. For business analysts and executives, this makes it much easier to extract insights, run reports, and make informed decisions based on the evidence at hand.

Moreover, surveilr can act as a complete evidence warehouse. It securely aggregates data behind firewalls, cleans and anonymizes it where necessary, and allows for the local storage of evidence on devices as small as laptops. At the same time, it can scale to support cloud-based evidence repositories, ensuring secure, queryable access to data across the organization.

Other evidence-gathering tools on the market often fail to deliver this level of organization. They may facilitate the transfer of data between systems but do not prepare the data in a structured, uniformly queryable format. surveilr, on the other hand, is designed specifically to handle this challenge, ensuring that evidence-based decision making becomes a smoother, more efficient process.

In today's fast-paced business environment, where executives need access to trustworthy data to make informed decisions, surveilr delivers the unified, secure, and queryable platform that makes evidence-based decision making possible.

Traditional integration tools like Enterprise Service Buses (ESBs), API connectors, and services like Zapier are designed to connect external systems to each other. They allow data to flow between various platforms, enabling communication across applications. While these tools are highly effective at linking systems together, they typically just move data from one system to another without retaining a centralized, queryable state. This is where Capturable Executables (CEs) in surveilr offer a unique advantage.

Capturable Executables (CEs) are focused not just on connecting systems but on ingesting data from arbitrary sources, in almost any format, using any connector technology or technique. Unlike typical ESBs or API connectors that simply transfer data between systems, CEs capture this data and store it in surveilr's stateful uniform resource database, where it becomes queryable. This means that instead of simply linking systems, surveilr transforms the data into an organized, evidence-based resource that can be used for audits, reports, and decision-making.

Capturable Executables (CEs) are custom scripts that can be written in any programming language to connect to various systems, extract or generate data, and fully integrate that data into surveilr’s opinionated universal database schema. These scripts allow businesses to customize their integration processes, ensuring that no matter what system or format the data comes from, it can be captured, stored, and made available for analysis.

When surveilr performs an ingest command, it typically looks for files, extracts their content, and stores them as records in a uniform resource table. However, sometimes the data doesn’t already exist in a static file—it needs to be generated. That’s where CEs become invaluable. CEs allow businesses to execute scripts, gather data in real time, and capture the output for storage in surveilr.

At the core of CEs is the idea that scripts—whether they're simple shell scripts or complex programs—can be executed by surveilr, and their output can be captured and treated as part of the evidence warehouse. The process works like this:

• Executing Custom Scripts: When a specific type of file is encountered (for example, abc.surveilr.sh), surveilr can execute the script using a designated Capturable Executable (CE). The script is run safely, and its output (whether JSON, SQL, or other formats) is captured.

• Storing the Output: Once the script has run, the output from STDOUT and any potential error messages from STDERR are stored directly into surveilr’s uniform resource table. This allows the generated data to become part of the evidence warehouse, where it can be queried, audited, and analyzed alongside data from other sources.

• Processing Instructions (PIs): Customization is achieved through Processing Instructions (PIs) embedded in filenames or passed as arguments during execution. For example, a script called myfile.surveilr-SQL.sh would indicate that the output is SQL and should be executed as a batch SQL transaction within the surveilr database.

CEs are a powerful tool because they provide unlimited integration possibilities. Unlike traditional systems that rely on rigid, predefined connectors, CEs allow businesses to:

• Ingest from any system: Whether it’s a legacy application, a modern API, or an internal system that doesn’t have a typical connector, a custom CE script can be written to extract or generate data and pass it into surveilr.

• Generate and capture data dynamically: Not all data comes from static files. Sometimes, data needs to be generated in real-time—whether it’s pulling information from a database, running a diagnostic tool, or creating complex batch files. CEs enable this dynamic data generation.

• Store output in a standardized format: No matter what the output of the CE script is—JSON, SQL, text, or other formats—surveilr can capture and store it in a uniform resource table, making the data easily accessible and queryable for business analysts.

The ability to execute scripts and capture their output makes surveilr a unique tool for building an evidence warehouse. Instead of relying solely on existing data, CEs allow businesses to pull in data from custom sources or generate new data on the fly. This means that surveilr can act in a similar way to API connectors, ESBs, and other integration engines, but with the added benefit of fully integrating the data into a stateful, queryable evidence warehouse.

Capturable Executables (CEs) empower organizations to create a flexible, highly customized integration process that not only gathers data but also stores it in a meaningful, standardized format. With CEs, businesses can break free from the limitations of traditional connectors and integration tools, giving them the power to capture, process, and store data from virtually any source, securely and efficiently.