Rezonant

Overview

Rezonant is the product workspace for teams shipping with AI coding agents. The team behind it — ex-Stripe leaders Emma Burrows and Mounir Mouawad — previously launched Portia AI as an agent framework/SDK; Portia was open-source in 2025, but the company has since said Portia will transition to closed source as it focuses on Rezonant. Rezonant is a new Portia product surface with evolved positioning, now aimed at the bottleneck that emerged once those coding agents shipped — turning fuzzy product intent into specs and tasks the agents (and humans) can actually execute on.

The pitch is "Talk, spec, ship." A PM describes the goal in plain language; Rezonant grounds the conversation in the connected codebase and existing systems, shapes that intent into structured tickets, and turns the work into structured tasks for human engineers or coding agents like Claude Code; confirmed product surfaces include Jira/Linear ticket generation and Rezonant's own coding agent, so verify direct Claude Code/Cursor handoff depth before claiming native integrations — with a governance-oriented workflow inherited from Portia roots; verify exact audit-log/checkpoint features before presenting them as built-in Rezonant controls.

The product targets AI project management workflows at companies already using coding agents in production. Customer logos on Rezonant's site include Microsoft, Skyscanner, and The Telegraph — useful social proof for a 2026 public launch, and consistent with the team's bias toward regulated-or-large-enterprise environments their Portia work serves.

Key Features

• Talk → Spec → Ship workflow — Three named stages: Understand (clarity on product systems), Shape (intent to buildable work), Deliver (ship code without losing control). Each stage is a workspace surface, not a chat thread, so context persists across collaborators.
• Grounded in your codebase — Specs and tasks reference actual repository structure, not the PM's mental model. Reduces the "spec doesn't survive contact with the code" failure mode common in PM tools that don't read code.
• Automatic task generation — Once intent is shaped, Rezonant produces structured tickets ready for engineering or for AI agent execution — not just as a one-shot AI summary; Rezonant emphasizes grounded task outputs and reviewable context. Verify checkpoint/audit-log details before publishing them as confirmed features.
• Coding agent for implementation exploration — A built-in agent runs implementation scoping inside the workspace, so PMs and engineers can pressure-test feasibility before committing to a ticket.
• Multiplayer surface — Real-time collaboration across PM, engineering, design, and AI agents in the same workspace. Replaces the typical handoff loop where context decays at every doc copy.
• Audit trails and guardrails — The Portia-era focus on compliant, traceable agent execution carries forward: confirmed Enterprise controls include SSO, SCIM, advanced roles/policies, DPA/security review, dedicated onboarding, and a named account manager; verify checkpoints and audit logs before listing them as built-in features.

How It Compares

• vs. Linear / Jira with AI features — Those are ticket-tracking platforms layering AI on top. Rezonant inverts the relationship: AI is the primary surface, and tickets are an output. Better for teams where PM intent → engineering tasks is the bottleneck, less compelling if the team is happy with existing ticket workflows.
• vs. Notion / Confluence for specs — Wiki tools store specs but don't ground them in code or hand them to agents. Rezonant produces specs that point at repo paths and can be turned into agent-executable tickets in one move.
• vs. Productboard / Aha! for PM — Those are roadmap and feedback platforms. Rezonant covers a different segment of the PM stack — the spec-and-handoff step — and complements rather than replaces.
• vs. AI-native spec/PM tools (for example ChatPRD and newer PM-to-agent handoff tools) — A growing crop of AI PM tools targets a similar wedge. Rezonant's advantage is the audit-trail/guardrail heritage from Portia, useful for regulated-industry teams; less differentiated for early-stage indie product shops.
• vs. Portia AI SDK (the prior product) — The Portia SDK is a developer-facing framework for building agents. Rezonant is the product-team-facing surface that uses those agent ideas. Same DNA, different audience.

The honest read: Rezonant is best when the team has adopted coding agents and the PM-to-engineering spec step is breaking. It's a worse fit for teams whose ticket flow already works or who don't yet use coding agents in earnest.

Pricing & Plans

Rezonant uses a freemium model with a real free tier and per-seat Business pricing, plus Enterprise.

The per-seat Business price is in line with mid-market PM tooling (Linear Basic starts at $10/user/month annually, Notion Plus/Business are $10/$20 per seat/month, and Productboard's current Spark plan is $15 maker/month annually or $19 monthly), positioning Rezonant as a Notion-or-Linear-class spend per user rather than a category-defining premium.

Best For

• Mid-stage product teams (Series A+) using coding agents in production where the PM-to-engineer handoff is the new bottleneck
• Engineering-led organizations who want PM specs grounded in actual repo structure rather than written in vacuum
• Regulated-industry product teams (fintech, healthtech, public sector) that need SSO/SCIM, advanced roles/policies, DPA/security review, and a vendor workflow with reviewable agent execution
• Companies migrating from Notion/Confluence specs to a workspace that produces agent-ready tickets
• Teams evaluating broader AI productivity stacks who want a PM surface that complements (not replaces) their ticket tracker

FAQ