The OS for the Agentic Product Enterprise
Run strategy, investments, and product execution on a single living system — where executives, teams, and AI agents reason, act, and adapt from the same context to drive product portfolio outcomes with speed, clarity, and scale.
With AI, operating context decays faster than existing systems can update.
Enterprise reality changes with every action in the operating model.
Human connectors — meetings, syncs, and emails — can’t match agentic speed and scale.
AI inference generates context fast, but with low fidelity; across orchestration hops, drift turns into hallucination.
The agentic enterprise needs a living system of context, intent, and memory.
A New Class of Operating System
Dragonboat turns operating reality into a living system, grounded in enterprise context.
Built on an active ontology foundation and encoded with domain expertise, ambient agents continuously monitor signals across your toolstack and update the context. Runtime intelligence, context, and memory power five apps with headless access for executives, teams, and AI agents to steer, evaluate, decide, and act on deterministic intent with full traceability.
Clarity — With a live semantic source of truth
Disparate data. One unified portfolio reality. Your ontology.
User- or agent-generated data and system signals across your product operating model — from customer calls and status meetings to discussions, docs, and enterprise tools — are transformed, parsed, and updated into product portfolio semantics, forming a live operating foundation of meaning, context, and memory.
Speed — Turn intent to action to outcomes
Portfolio intelligence powered apps with headless access for humans and agents.
Executives and builders reason, decide, act, and adapt through built-in apps — Strategy, Intake, Planner, Roadmap, and PDLC — or headless via APIs, MCP, agents, and integrated tools — with governance and traceability. Modular and natively connected, all operate on a live semantic source of truth, enabling faster decisions and learning from intent to outcomes.
Cohesion — Runtime Intelligence with context
Context Graph with encoded logic. Surface consequences.
Ambient agents traverse the portfolio graph across every decision, action, and outcome — surfacing ripple effects, upstream and downstream impacts, and bidirectional consequences in real-time, delivering thematic insights and predictive recommendations grounded in portfolio context, logic, and intent.
