Constellation is expanding its Digital Evidence framework through two major initiatives. The team launched a public Digital Evidence Explorer and added three new systems integrators. These updates mark a broader effort to move trusted data from concept to adoption across AI, public sector, and edge environments.
Digital Evidence creates tamper-evident records for logs, sensor streams, and AI outputs. Each payload receives a cryptographic signature and is stored on the Constellation Hypergraph. The system offers auditability and chain-of-custody at the infrastructure layer. This design allows organizations to enforce trust where data is created—not just where it’s used.
Digital Evidence Explorer is officially live 📊
— Constellation Network (@Conste11ation) September 16, 2025
Explorer ⤵️https://t.co/sDFycIBTQB
Docs ⤵️https://t.co/sfZDktMwAd
With the Explorer now live, anyone can view submitted payloads, metadata, timestamps, and signer IDs in real time. The dashboard improves transparency while reducing the complexity of manual queries or on-chain indexing. It gives developers, auditors, and partners a direct way to observe how the system performs.
Alongside this, Constellation has published detailed developer documentation. The guide covers submission workflows, signing methods, and validation endpoints. These tools make it easier to deploy trusted data flows in high-frequency and regulated environments.
Together, the Explorer and integration support tools lower the barrier to adoption. They help demonstrate performance, confirm functionality, and reduce friction for institutions that need audit-ready infrastructure.
Constellation Network Accelerates Digital Evidence Momentum with Three New Solutions-Integrator Partnershipshttps://t.co/By9VIxRBdo
— Constellation Network (@Conste11ation) September 16, 2025
Sector Integrators Bring Digital Evidence Into Real-World Systems
To expand Digital Evidence into production, Constellation has partnered with LabsDAO, OB Collective, and JADO Innovation Labs. Each partner supports a specific use case—AI pipelines, government data systems, or field-based sensor networks.
LabsDAO focuses on blockchain infrastructure for AI and data provenance. They will integrate Digital Evidence into machine learning environments, where training inputs and model outputs require traceability. This helps address growing compliance needs around AI governance and data lineage.
OB Collective, based in the UK, works across policing, defense, and public sector transformation. They will embed Digital Evidence into multi-agency workflows. Their integration enables secure collaboration and audit automation without replacing legacy systems.
JADO Labs brings edge deployment capabilities. Their CONDUCTOR platform orchestrates data from drones, wearables, and field sensors. They will use Digital Evidence to sign each payload in real time, maintaining integrity as data flows from the edge to command centers.
These partners help operationalize the vision behind Digital Evidence. They show how the system can plug into mission-critical environments without heavy customization or new infrastructure. Each implementation reinforces the role of cryptographic trust in domains where audit failures or data disputes carry real consequences.
Scaling Verifiable Infrastructure for a Compliance-Driven Future
Both the Explorer and partner integrations reflect a shift in how institutions think about data. Organizations now need systems that prove integrity at the point of creation. This is especially true in AI, public services, and sensor-heavy deployments.
Constellation Digital Evidence enables that shift. It supports low-latency, high-volume data without relying on tokens or smart contracts. Its feeless design makes it viable for real-time telemetry, compliance logging, and data sharing across stakeholders.
The new Explorer helps make that infrastructure visible. The partner deployments show it can work under real conditions. With global regulations pushing for stronger auditability and AI accountability, this momentum positions Digital Evidence as a practical foundation for trusted systems.
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