Backed by Stanford StartX

AI with infinite memory for PMs.

The living memory behind every product decision.

Mira builds a persistent knowledge graph from your product signals — every decision traceable, every context permanent, and every answer grounded in your actual product reality.

Mira in motion.

From a raw signal to root cause, artifacts, and a living record — watch how Mira synthesises and traverses your product context.

1

Start with the real signal

Drop in the sources that already exist — Amplitude exports, Gong transcripts, sprint retros. Mira synthesises across all of them before answering, not just your prompt. Other LLMs read documents. Mira cross-references them and finds the causal chain.

2

Mira traverses to the actual cause

Not surface-level summarisation. Mira builds a graph of typed relationships between your signals, events, and decisions — then traverses edges to find what caused what. The root cause three decisions upstream, invisible to any flat tool.

3

Artifacts grounded in your reality

Leadership-ready outputs — Metric Diagnostic, Root Cause Assessment, Action Plan. Every claim cited back to the document, conversation, or signal it came from. The "chain of logic" from raw signal to recommended action, fully traceable.

4

Push to the tools your team uses

Artifacts are not trapped in Mira. Send your action plan straight to Jira, Linear, or wherever your team ships work. One click, full context, no manual handoff. Already live in Beta.

5

Every decision compounds the map

Every artifact, decision, and confirmed cause becomes a new node in your Living Product Map. The graph writes back automatically. The longer your team uses Mira, the sharper its judgement layer becomes — institutional memory that no competitor can cold-start.

Mira Chats / Metric Drop to Root Cause & Action Plan
📄 0 Materials
Artifact
Activation Drop — Recovery Action Plan
Generated from Root Cause workflow · Based on Action Plan
NT
ACT-001
Scope sign-up gate by search intent signal
Detect high-intent queries (job title + location, company name) and bypass the gate.
EXPERIMENT CRITICAL 3-5d
MD
ACT-002
Add intent-detection event in funnel logging
Capture intent signal at landing for cohort analysis pre- and post-experiment.
TASK HIGH 1-2d
RK
ACT-003
Set guardrail dashboard for organic activation recovery
Live Amplitude dashboard tracking organic activation rate vs. baseline.
TASK HIGH 1d
3 tickets pushed to Jira

Infinite memory. No more lost context.

Product context lives scattered across ten or more tools. Other AI tools answer from what you give them in the moment. Mira builds a causal graph across all of it — so when a metric drops, the real cause is traceable, not guessed.

Slack
Customer feedback
Jira
Roadmap
Notion
PRDs
Figma
Meeting notes
Linear
Decisions
LLM Context Window
Full · Context lost
Without Mira

Scattered signals. No causal chain. Every investigation starts from scratch, and the PM is the only system of record — until they leave.

Slack
Customer feedback
Jira
Roadmap
Notion
PRDs
Figma
Linear
Meeting notes
Decisions
Mira
With Mira

Every signal, decision, and artifact becomes a typed node with directional edges. Mira traverses the full causal graph so the root cause three decisions upstream is always reachable. The graph compounds with every session.

Every answer, traced back to your product.

Every response cites the signal, decision, or event it came from — visible as a Living Product Map that grows with every session and compounds over time.

In-chat Living Product Map showing nodes for Signal, Event, Decision, and Output, connected by typed causal relationships.
·

Every node is a real source — Signal, Event, Decision, Output.

Metrics, customer verbatims, sprint decisions, and recommended actions. Pulled from the documents you upload, with citations back to the exact line they came from. Not generated from thin air.

·

Every edge is a causal relationship Mira inferred and you confirmed.

Causes, dependencies, contradictions. Typed and directional so Mira can traverse the full chain when you ask why something happened. The root cause three decisions upstream, surfaced automatically.

·

The graph compounds. Every decision adds to it.

When you confirm a root cause, Mira writes it back as a Decision node. When you ship an action plan, it becomes an Output node. The longer your team uses Mira, the more accurate its judgment layer becomes.

Free for one month. For accepted Beta applicants.

During Beta validation, accepted applicants get one month of free Pro access. No commitment. Just genuine product feedback in exchange for early access.

Beta validation access

One month free Pro. Then $49 per user per month.

Free
$0
Solo only. Limited sources, credits, and memory.
Pro
$49/user/mo
Infinite memory. Unlimited sources and chats. All integrations.
Enterprise
Custom
Everything in Pro plus SSO, SOC2, audit logs, dedicated support.
One month free Pro for solo use. Team collaboration ships after Beta.
Full Pro feature access. Unlimited sources, unlimited chats, all integrations. Pay nothing during the trial.
Direct founder access. Private Slack with Mira's CEO, CTO, and CPO during the validation period.
Roadmap influence. Your feedback directly shapes what Mira ships next.
Early access to every new feature before general availability.

Infinite memory on Pro and Enterprise. Every source, decision, artifact, pivot, and iteration persists in your workspace forever. No context window limits. Mira becomes your product's full history.

Help us build Mira with you.

Start your application below.

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