The Product Portfolio OS
for agentic enterprises

 

Dragonboat completes the enterprise agentic fabric for product portfolios — enabling executives, teams, and agents to orchestrate strategy, investments, and PDLC with speed and clarity at scale via an ontology-based, headless system.

Multi-agent operations stop at manually connected systems

 

Without a live, semantic source of truth for product portfolios, context breaks, inference repeats, and humans and agents struggle to coordinate across teams and time — blocking enterprise-scale agentic deployment.

A New Class of Product Portfolio OS

 

Dragonboat is an ontology-native platform built for modern product enterprises, with domain expertise encoded at its core and elasticity for evolving operating models. It delivers live context, memory, and runtime intelligence for executives, teams, and agents to reason, decide, act, and adapt across the PDLC — in-app or via connected tool stacks — with clarity, speed, and cohesion.

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.

 

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Speed — to Reason and Act with Apps for Your PDLC

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..

 

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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.

 

Talk to a product expert →

Trusted by product organizations running at scale

Build Trap by Melissa Perri

“As a product leader, I need to be making strategic decisions about what to start, stop or change, and how I can allocate resources. And that’s where Dragonboat helps by giving me full visibility into my portfolio and how it contributes to the success of the company, and making it transparent for the entire organization.”

Melissa Perri

CEO at ProduxLabs

Rick Porter, VP Product Ops

Dragonboat’s AI-powered platform is a glimpse into the future of Product Ops — automating critical workflows, improves analytics and accelerates outcomes.

Rick Porter

VP / Head of Product Ops at Github

Vanessa Garber

“With Dragonboat, which we’re using at Toyota, we can keep aligned with the broader strategy and leverage different views to answer questions from the CFO and CEO. Instead of spending 40% of our time pulling reports, we can use Dragonboat to solve these things.”

Vanessa Garber

CPO Global Mobile Apps at Toyota

Jackie Orlando

“Dragonboat provides outcome-based, multifaceted organization combined with the most robust, two-way Jira integration I’ve ever seen providing us full autonomy without needing to ask our engineering partners to change a single thing about how they work.”

Jackie Orlando

Director of Product Operations at Tealium

Rob Seidman

“We use Dragonboat extensively (to manage this product). With over 3,500 epics, launched in 9 months, from beginning to end. A monumental achievement.”

Rob Seidman

Chief Product Officer at POS Lending/ BNPL, U.S. Bank

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Powers your entire Product Operating Model

Shared context and memory, surfaced as runtime intelligence, prevent intent decay and portfolio drift — across every decision and action, by both humans and agents.

Traceability across decisions, actions and outcomes.

  • Connect every aspect of the product operating model. Every user decision and action forms real-time 360° visibility: top-down, bottom-up, and across teams and functions.
  • Auto-detect drifts, risks, and ripple effects in real time, and take actions or suggest remediations.

Prioritization combining data and judgment.

  • Collaborate and align on inputs and priorities with shared portfolio context to speed up decisions across the PDLC.
  • AI instantly synthesizes intake, signals, and opportunities, surfacing patterns and recommendations across products and teams.

Trade-off across scenarios and models.

  • Every action triggers decisions, every decision triggers consequences. The trade-off graph connects competing priorities, dependencies, and constraints across teams, resources, and roadmaps in real time.
  • AI instantly creates roadmap options with constraints and consequence visibility for collaborative portfolio alignment.

Optimization through learning and adaptive decisions.

  • Learn: AI continuously tracks planned vs. projected actuals, surfacing course-corrective recommendations with portfolio context to adjust investments and execution in real time.
  • Improve: AI detects portfolio-wide outcome and metric patterns across cycles, refining strategies and investment allocation to strengthen competitive positioning.

Dragonboat customers have achieved…

6.3
x

Faster Planning

81
%

Higher Resource Yield

4
x

On-target Delivery

One source of truth. Every decision-maker across the PDLC.

Connect role-based perspectives with shared portfolio context for coherent decisions and action.

Domain expertise – built in and continuously evolving

Built by practitioners, with expertise encoded into the platform. Delivered by operators who partner in your continued success. Extended through the world’s leading product operations community.

Security and scale — trusted by enterprises

2020 AICPA SOC

Enterprise-Grade Security

→ Access control for humans and agents.
→ Strong data protection policy.
→ No external training: your data is not used to train models for others.
→ Audit trail: on both human and agent activity.

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Enterprise Context Orchestration

→ Semantic mapping from domain systems to product operating ontology schema.
→ Infer unstructured data once into a live semantic source of truth — avoiding repeated runtime parsing.
→ Headless access using APIs, connectors, and MCP.

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Meet your new Product Portfolio OS

Harness AI Speed. Operate with Clarity. Get Started Quickly.