Mosaic Singularity, based in London, Ontario, released HeartBeatAgents 1.0 on April 28, positioning it as a production substrate for enterprise autonomous agents that enforces data sovereignty, credential isolation, and safe failure recovery by default. The release was announced via GlobeNewswire.
Architecture: Credentials, Data, and Recovery
Three design decisions define HeartBeatAgents’ approach to enterprise agent deployment.
First, credential isolation. The model never sees real API keys, tokens, or secrets during any workflow stage. The platform issues opaque handles that map to underlying credentials inside a trusted broker. The credential itself never enters a prompt, log, or event stream, according to the company’s press release. This addresses the class of risk where a model leaks credentials through prompt injection or log exposure.
Second, customer-perimeter data sovereignty. Agents operate on data the organization owns, against credentials the organization holds, through networks the organization controls. There is no vendor telemetry pipeline, no model training on customer prompts, and in Ollama-configured deployments, no data leaves the local machine at all, per the announcement.
Third, idempotent recovery. If a step fails after an external action has already occurred (email sent, record updated, payment processed), the platform recovers from the point of failure rather than re-executing completed work. Idempotency is enforced at the substrate level, not left to prompt instructions. This is particularly relevant for financial workflows where duplicate transactions carry real cost.
Self-Building Integrations
HeartBeatAgents agents can build their own integrations on demand. When a target system has no pre-built connector, the agent reads the system’s documentation, builds the connector, tests it against live endpoints, and uses it. The resulting skills persist as the organization’s property, reusable in future workflows without re-prompting or rebuilding.
Audit and Compliance
Every agent action, including skill invocations, external requests, credential usage, and decision points, is recorded in the organization’s own database via a hash-linked audit ledger. Compliance reviews run against the customer’s audit chain rather than against a vendor-provided report.
Market Context
The launch arrives as enterprise teams increasingly cite credential exposure and data sovereignty as deployment blockers for autonomous agents. ECI Research’s 2025 AI Builder Summit survey found that 44% of enterprise AI leaders have only moderate confidence that agents can act autonomously, a gap driven largely by visibility and control concerns rather than model capability, per ECI Research. HeartBeatAgents’ architectural approach, removing credential exposure and enforcing auditability as substrate-level defaults, targets that confidence gap directly. Whether the platform gains traction against established vendors with deeper integration ecosystems will depend on enterprise teams’ willingness to adopt a new substrate from an early-stage company.