The missing signal layer
for product teams

Sigio connects evidence from your tools and structures specs that both your team and your AI agents can act on — so you ship the right thing, faster.

Free during early access · No credit card required

Connects to your stack

P
PostHog
I
Intercom
H
HubSpot
L
Linear
J
Jira
N
Notion
F
Figma

The feedback loop

Not a pipeline. A flywheel.

Most tools treat the brief as the finish line. Sigio treats it as one turn of a loop that compounds with every cycle — so your team builds the right thing, faster, every time.

S Context Graph
📡
Signals Analytics, support, CRM
🔍
Research Cross-source synthesis
📝
Brief Structured, approved
🤖
Agents build Cursor, Claude Code
🚀
Ship Features go live
📡

Signals flow in

Sigio pulls live data from PostHog, Intercom, HubSpot, and Linear — so every decision starts from evidence, not memory.

📝

Briefs get structured

AI researches, synthesizes, and drafts. You review and approve each section. The result is a spec that both your team and coding agents can act on.

🤖

Agents ship features

Structured briefs are exposed to Cursor, Claude Code, and Copilot via MCP. Agents get the full context — problem, evidence, acceptance criteria — not just a prompt.

💬

Feedback compounds

User reactions, support tickets, and usage data from shipped features flow back into the context graph. The next brief starts from a richer foundation. The loop gets tighter every cycle.

"The problem with product specs isn't writing them — it's that they're disconnected from what happens after. Sigio closes the loop between intent, execution, and outcome."

Better signals Sharper briefs Faster builds Richer feedback Better signals

What powers the loop

The intelligence layer your
product stack is missing

Sigio isn't another PM tool. It's the connective tissue between product intent and shipped outcomes.

🔍

Parallel multi-source research

Queries PostHog, Intercom, HubSpot, and Linear simultaneously. Findings are cross-referenced, time-stamped, and linked to source.

🧠

Living context graph

Every brief, decision, and outcome enriches a shared knowledge graph. Past patterns inform future specs automatically.

🤖

Agent-ready output via MCP

Structured specs are exposed directly to Cursor, Claude Code, and Copilot. Agents get rich context, not vague prompts.

🔄

Outcome tracking built in

After features ship, Sigio monitors the signals that motivated the brief. Did the needle move? That answer feeds the next cycle.

🤝

Human-in-the-loop, always

AI researches and drafts. You approve every section. Explicit controls at each step mean the brief reflects your judgment, backed by evidence.

🔗

Bidirectional MCP

Sigio is both an MCP client (consuming your tools) and an MCP server (exposing briefs to agents). One protocol, both directions.

Stop shipping features
into the void

Close the loop between what you build and why. Join the early access list.

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What best describes your role?

How big is your product team?

People who regularly collaborate on what to build

Which AI coding tools does your team use?

Select all that apply

What tools does your team use for product work?

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