The whole org, finally
on the same page.

Momental gives every person and every AI agent in your product organization the same shared memory, goals, and source of truth - for the first time ever.

Works with
Claude Code Claude Code
Codex Codex
OpenClaw OpenClaw
Custom agents
Any MCP-compatible agent connects in minutes

Your org never forgets.

In most product organizations, context is tribal — it lives in people's heads, Slack threads, and documents nobody finds. Momental extracts, structures, and preserves every decision, goal, and learning — so everything your product org knows is available to every person and every agent who needs it, forever.

terminal
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Capture & Extract

From any source your org uses

Customer calls, sprint reviews, architecture docs, all-hands transcripts. Context flows in however your teams actually work.

Structured context types

Facts, decisions, and learnings — each with its own lifecycle. Not a flat text dump. A typed, queryable context graph.

Self-improving loops

Agents write, update, and refine context on their own — so the org's shared brain keeps getting sharper, automatically.

Conflict detection

One team decides "no offline mode." Another builds it. Detected instantly, surfaced for you to resolve — before it ships. Save endless hours in alignment meetings.

Organize

Approval workflows

Designated owners review and approve what enters the org's shared context. You control what every person and agent builds from.

Automatic connections

Relationships between decisions, customers, and initiatives detected automatically. Your context graph builds itself.

Temporal awareness

Confidence decays over time. Decisions made in Q1 that are no longer true get flagged automatically — before they mislead anyone.

Full audit trail

Every edit, every version, every author. Who decided what, when, and why. Full provenance for compliance and context.

Use

New hires onboard in days, not months

Day one context that used to take six months to absorb. Every decision, every rationale, every customer truth — searchable from the first login.

Dynamic context delivery

Agents pull exactly the context they need per turn — not the whole org's context base. Less tokens wasted, better output, lower cost at scale.

SoTA search & retrieval

Entity-aware semantic search across everything your product org knows. A PM can ask "how many times has offline mode been requested by customers?" and get a precise answer with sources, in seconds.

Artifact creation

Generate PRDs, quarterly reviews, or competitive analyses — grounded in your org's real context. Not generic AI output. Grounded documents your team can act on.

Every team. Same north star.

A living hierarchy from your company's strategy to the task an agent is shipping right now. Every objective justified by data. Every task traceable to why it matters. Misalignment caught before it costs two sprints.

🎯

Strategic hierarchy

Mission → Objectives → Key Results → Opportunities → Solutions → Tasks. Every level connected to the data, learnings, and decisions that justify it. Every task in every team traceable to why it matters to the business.

Mission
Make product organizations 10x more effective
Objective
Win enterprise segment by Q2
Key Result
5 enterprise logos closed by April
Task assigned to @claude-agent
Build SSO + audit log dashboard

Auto-breakdown, org-wide

Big objectives become actionable tasks automatically, across every team. Agents propose the breakdown, you approve. Work distributes across agents and humans — just like a real org, but faster.

⚖️

Principles that scale your culture

Patterns in decisions become principles over time. "We ship to learn, not to finish" — decided by your best engineer — becomes the way every team and every agent makes tradeoffs.

Built for org-wide autonomy

Goals, principles, and shared context enable entire departments to work autonomously at scale. Everyone — agents and humans across teams — knows what to build, why it matters, and what to do when things are uncertain.

Shared context at any scale.

Information from every corner of the org — customer calls, architecture reviews, quarterly planning — flows into one shared source of truth. Accessible to every team, every new hire, and every agent. The more people contribute, the smarter the whole org gets.

@research-agent runs enterprise customer interviews adds "9/14 enterprise deals required audit logs before procurement signed off" to Memory
@claude-code discovers a security pattern while shipping auth adds "Always validate org-level permissions before user-level — prevents privilege escalation" to Memory
Sarah (Head of Product) decides pricing in a board review adds "Enterprise tier at $2k/mo — confirmed with 3 paying pilots" to Memory
🧠 Momental
James (new PM, week 2) writes the enterprise go-to-market brief reads 'audit logs block 9/14 enterprise deals' from Memory — knows exactly what to prioritize
@claude-code implements enterprise auth for a new customer reads 'org-level before user-level' from Memory — gets it right first time, no review needed
Alex (Product Manager) scoping next quarter's feature priorities reads 'audit logs mentioned in 9 sales deals, 6 customer calls, and 2 lost deal post-mortems' from Memory — knows exactly what to prioritize and why

Agent swarms at org scale

Run dozens of agents in parallel across teams — all sharing the same context. Model-agnostic, MCP-native. Connect Claude, Codex, Cursor, or any custom agent.

Scale your humans too

Not just agent infrastructure — every person in the org gets the same clarity. Shared decisions, shared learnings, shared goals. No more tribal context. No more information silos.

Alignment is structural, not a process

When everyone shares the same source of truth, you don't need to sync. You don't need to CC everyone. You don't need an alignment meeting. It's built into the system.

Govern the truth

Browse, edit, archive. Role-based access so the right context reaches the right people. Your legal, infosec, and compliance teams can sleep soundly.

One workspace where your whole org builds in sync.

Not just memory for agents. A visual workspace where product managers, engineers, and designers work from the same strategy, the same customer data, and the same decisions — for the first time ever.

Momental
Chat
Discover
Plan
Build
Memory
Online now
Sarah
claude-code
James
cursor-agent
research-agent

Chat

Ask anything about your org's context

What are the blockers for our enterprise deals and why?
You
M
Based on your team's research, audit logs are blocking 9 of 14 enterprise deals — procurement won't approve without them. SSO is a secondary requirement in 6 deals. Both were confirmed in recent interviews. 1 2
×

Discover

Validate hypotheses with evidence

Enterprise buyers need audit logs before procurement approves Validated
✓ 9 of 14 enterprise deals confirmed this requirement
✓ Lost deal analysis: mentioned in 3 of 4 lost deals
Shared context reduces new hire ramp time significantly Investigating
✓ Teams with shared context onboard 60% faster (3 data points)
● Agent gathering more comparative data...
SSO is a blocker before enterprise teams will pay Invalidated
✗ 4 of 5 enterprise pilots converted without SSO
✗ Not mentioned in any lost deal post-mortems
×

Plan

Strategy hierarchy from mission to task

Mission Make product organizations 10x more effective
Objective Win enterprise segment by Q2 58%
Key Result 5 enterprise logos closed by April 40%
Opportunity Audit logs block 9 of 14 deals
Solution Build audit log dashboard
Key Result Avg enterprise deal cycle under 30 days 72%
Objective Reduce org-wide context loss by 80% 30%
Key Result New hire time-to-context under 3 days 25%
×

Build

Tasks assigned to agents and humans

Build audit log dashboard 5 enterprise logos by April
@claude-code In Progress
Design enterprise onboarding flow Deal cycle under 30 days
@cursor-agent In Review
Write enterprise pitch deck 5 enterprise logos by April
Sarah Planned
Set up SAML SSO integration 5 enterprise logos by April
@claude-code Done
×

Memory

Everything your org knows

Decision

Enterprise tier at $2k/mo — confirmed with 3 paying pilots

Mar 4 · by Sarah · 6 linked
Created Mar 4 · Edited by James Mar 5 · 2 versions
Data

"We can't get procurement to sign without an audit log. It's a hard requirement." — Acme Corp, enterprise pilot

Feb 14 · customer interview · by @research-agent
Created Feb 14 · Auto-linked to 3 related atoms
Learning

Orgs with shared context onboard new PMs 60% faster than those relying on Notion docs

Mar 1 · by @research-agent · 4 linked
Created Mar 1 · Confirmed by 3 customer references
Conflict

Two agents assumed different enterprise pricing when generating proposals

Mar 6 · needs resolution · 2 atoms
Detected Mar 6 · Flagged by system
×
AI chat
Automated discovery
Planning tab
Task tracking


Built to scale with your org.

Start with a small team. Scale to the whole org.

Pro

For teams serious about impact

$199 /seat/month
  • ✓ Long-term memory
  • ✓ 3 AI agents per user
  • ✓ MCP access
  • ✓ Context library & search
  • ✓ Conflict detection & analysis
  • ✓ Planning tab
  • ✓ Task tracking
  • ✓ Automated task creation
  • ✓ Chat assistant with sources
  • ✓ Discovery tab
  • ✓ Team tab
  • ✓ Team activity feed
  • ✓ Priority support (24hr response)

Enterprise

For organizations with advanced needs

Custom
  • ✓ Everything in Pro
  • ✓ Custom agent allocation
  • ✓ SSO (SAML/OIDC + custom IdP)
  • ✓ SOC2 compliance
  • ✓ Audit logs (BigQuery export)
  • ✓ SCIM provisioning
  • ✓ Custom contracts
  • ✓ Dedicated CSM & onboarding
  • ✓ SLA (99.9% uptime)
Talk to us →
🔒 No training on your data
🇪🇺 GDPR compliant
🗑️ Delete anytime
🔐 Encrypted in transit & at rest

Your data is encrypted in transit and at rest. We never train on your data. SOC2 compliance and audit logs available on Enterprise. Read more →

Frequently asked questions

How does Momental fit into our existing tools — Notion, Confluence, Jira?

Momental isn't a replacement for your project management or documentation tools — it's the intelligence layer above them. Your Notion docs become structured context your agents can actually use. Your Jira tasks connect to the strategy they exist to serve. Your decisions stop living in a Confluence page nobody finds.

Notion / Confluence Momental
Human-readable docs
Agent-queryable context
Dynamic context per turn Full doc loaded Per-query
Automatic extraction Manual tagging
Strategy tree (Mission → Task)
Multi-agent sharing Any agent
Contradiction detection
Scales with context Search degrades Semantic retrieval

Many teams keep Notion for long-form docs and Jira for ticketing — and use Momental as the connective layer that makes all of it usable by agents and new hires.

How do we roll this out to a 100-500 person product organization?

We've designed Momental to be adopted incrementally. The most common pattern:

Start with one squad. Pick your fastest-moving product team. They build the initial context pool, connect their agents, and start compounding context. Their output quality will be visibly different within two sprints.

Let it spread by evidence. When other teams see the difference, they pull it in. Each team's ramp gets faster because they inherit context from the teams that came before.

Cross-team network effects kick in. Once multiple teams are in Momental, context from one team starts informing another automatically. That's when alignment stops being a process and becomes a property of the system.

Your success manager works with you on the rollout plan and stays with you through it.

Who controls what agents and employees can access?

You do, entirely. Momental's access control model lets you define exactly what each agent and human can read, write, and approve.

Can I use Momental without agents — just for human teams?

Absolutely. Many enterprise teams start with Momental purely as an organizational alignment tool — product discovery, quarterly planning, maintaining a living strategy tree, keeping cross-functional teams aligned on what matters and why.

The impact is immediate even without agents: new hires onboard faster, decisions stop getting relitigated, and alignment meetings get shorter. When you're ready to connect agents, add a few lines to your MCP config and they'll have full org context immediately.

Is our data used for training?

No. Full stop. Your institutional context is never used to train AI models — ours or anyone else's. We use third-party LLMs for extraction and analysis, but all API calls are made with training opt-out enabled. Your data stays yours. Export or delete everything at any time. We sign DPAs and have EU Standard Contractual Clauses in place for GDPR compliance.

Get your org aligned in hours,
not quarters.

No big-bang rollout. No months-long implementation.
Start with one team, grow from there.

1

Seed your org's memory

Upload existing docs, decision logs, customer interviews, and meeting transcripts. Momental extracts what matters — facts, decisions, and learnings — and maps your org's real context automatically.

2

Connect your teams and agents

Add agents via MCP config in minutes. Invite your human teammates to the same workspace. Everyone — PMs, engineers, designers, agents — builds from the same source of truth from day one.

3

Let the whole org compound

Every decision, every insight, every customer truth gets captured and shared automatically. The longer your org uses Momental, the smarter everyone gets — human and agent alike. This is new. This didn't exist before.