AgenticFlowPro adopts OpenMatter security platform for HelixPredict
AgenticFlowPro has selected OpenMatter Network's security platform to bolster its HelixPredict infrastructure intelligence product, the two companies announced on 28 October 2026. The integration will begin as a proof of concept before potentially expanding across AgenticFlowPro's broader HelixCloudOps platform, which covers infrastructure visibility, cost optimisation, security and operational governance.
The initial pilot centres on processing infrastructure telemetry inside a customer's own environment and surfacing prediction-only alerts to flag emerging operational problems. Crucially, the design avoids moving sensitive operational data off-premises, a requirement that is becoming increasingly important to enterprise infrastructure teams navigating tighter data-residency and sovereignty expectations.
What OpenMatter brings to the stack
OpenMatter's contribution rests on two main capabilities. Its MatterVault service applies threshold cryptography to protect credentials, API keys and secrets, distributing decryption authority across multiple nodes rather than relying on a single machine. Its Model Router provides a centralised gateway for managing access to AI models and providers, including routing logic and consolidated credential management. Both are delivered via OpenMatter's MatterSDK developer toolkit, which the company says gives developers streamlined access to its MatterChain capabilities.
Brian Alvarez, founder and chief executive of AgenticFlowPro, said the integration was being built to help infrastructure teams "identify emerging problems earlier while keeping telemetry processing within their environment," adding that the pilot would let the company evaluate the approach against a real operational use case.
Renee Davis, chief business officer and co-founder of OpenMatter Network, described the deal as "a milestone in the commercial adoption of OpenMatter's technology" and indicated further customer announcements are expected shortly. Davis noted growing enterprise demand for security and accountability built directly into AI applications, rather than added as an afterthought.
Market context and competitive landscape
The announcement sits at the intersection of two fast-moving categories: AI-powered IT operations (AIOps) and cryptographic trust infrastructure for agentic AI systems. The AIOps market has attracted well-funded incumbents including Dynatrace, Datadog and New Relic, alongside a wave of specialist startups. AgenticFlowPro's differentiation rests on its predictive, pre-disruption framing and, now, a verifiable-trust layer that larger platforms have not yet standardised around.
OpenMatter's positioning as a "verifiable trust layer" places it in emerging territory alongside projects addressing secure multi-party computation and privacy-preserving machine learning. The company is also participating in efforts to establish agentic AI security standards, including work with Hashgraph Online on verifiable AI compliance and membership of the Open Secure AI Alliance. These affiliations matter commercially: enterprises increasingly expect vendors to demonstrate standards alignment before committing to production deployments.
What to watch
The pilot remains a proof of concept and no commercial contract value, customer name, or deployment timeline has been disclosed. OpenMatter launched commercially and added platform enhancements in September 2026 covering secure application development and secure data collaboration; the AgenticFlowPro integration is the most concrete customer reference to date.
Investors and enterprise buyers will be looking for the pilot to convert into a production deployment and for named customers in the broader implementation pipeline that Davis referenced. On the regulatory side, any expansion into European enterprise environments will bring obligations under NIS2 and DORA for firms in financial services or critical infrastructure, where cryptographic credential management and AI model governance are moving from best practice toward compliance requirement.