Text, voice, PDF, DOCX, PPTX, Excel, HTML, CSV, email. If your team created it, we can parse it.

Record a thought, a quick debrief, a decision made in passing. It becomes structured context automatically — no transcription step, no manual cleanup.

Upload a meeting recording and get a transcript that knows who said what — and what role they played. Your team’s decisions stay yours. A competitor’s quote stays theirs. Voice becomes context in one step, with attribution intact.

Slack threads, Jira tickets, Google Drive — pulled in with full attribution preserved. Changes sync automatically, so your context stays current without anyone maintaining it.

Every statement lands as what it actually is — a data point, a lesson learned, a decision, or a guiding principle. Category, author, title, and tags detected automatically. Nothing gets buried.

People and companies resolve to the right entity, however they’re mentioned. Nicknames, typos, partial names — all matched. “Pablo”, “P. Martinez”, and “Pablo from Volvo” are understood as the same person.

Semantic deduplication runs before anything enters the graph. Upload the same content twice, or two documents that say the same thing differently — caught automatically.

Entity-aware search across everything your team knows. Ask about a person, a project, or a decision and get precise answers with sources — not a list of documents to dig through.

Define your actual product: features, capabilities, user segments, accounts. Every piece of context lands in the right place automatically — not in a flat pile labeled “notes.”

Track who said what — and how confident they were. Was it a firm decision, a working assumption, or someone’s gut feeling? Every piece of context carries its source and certainty level, so you always know how much weight to give it.

Every decision links back to the signals that shaped it. You can always see why a call was made — not just what it was. The reasoning is never lost.

What your team learned yesterday is still there tomorrow — across every agent, every session. Just pick up where you left off.

Embedding-based detection catches conflicts that use different words to say the same thing. It doesn’t need an exact match — it understands meaning.

Catches when two statements refer to different time periods. “Q1 pricing” and “Q3 pricing” aren’t the same conflict. The system knows the difference.

If a decision contradicts the evidence it was built on, the system catches it — even if the decision and the evidence were added months apart.

Know what you don’t know. Momental identifies where context is missing, where decisions lack supporting evidence, and where your understanding has blind spots — before those gaps slow you down.

Connect the dots between signals, decisions, and outcomes. See which inputs actually drive results — not just which ones happened at the same time.

A decision is only as good as the reasoning behind it. Momental maps the full chain from signal to conclusion and flags where the logic breaks down.

Context doesn’t stay equally reliable forever. Pricing information decays fast. Principles decay slow. Confidence levels are configurable per context type, and the system adjusts automatically over time.

Fresh, stale, or expired — flagged automatically. You always know what’s current and what needs a second look before acting on it.

Every piece of context has a clear lifecycle: draft, active, superseded, disputed, or archived. Nothing quietly lingers in a state it shouldn’t be in.

Every change logged with who made it and when. Full diff visualization across all versions. The history is always there when you need to understand how you got here.

Set an objective. Momental breaks it down into key results, opportunities, solutions, and tasks. The whole chain, connected — no manual translation.

Surface the right problems to solve — grounded in your context, not guesswork.

Generate options evaluated against your actual goals, constraints, and what your team already knows.

Maps assumption dependencies — enablers, blockers, conditions, risks. If one thing fails, you see what else is at risk.

Planned → In Progress → In Review → Done. With built-in support for blocked tasks and anything waiting on a human call. Easy for anyone. Powerful enough for agents.

Generated from your context — testable and grounded. Everyone knows what “done” means.

Context handed off so the next agent or teammate picks up exactly where the last one stopped.

Agent pauses, asks a specific question, resumes when answered. Nothing proceeds on assumptions when a human call is needed.

From your strategy tree, grounded in real decisions and data. Not templates.

With testable acceptance criteria, derived from your actual context.

One-pagers, press releases, and slide decks — from real decisions, not templates.

Goal progress, conflicts to resolve, actionable suggestions — pre-computed daily, per person.

Create, read, update, and act across context, strategy, tasks, people, and products — the same actions available to your team, available to your agents.

While agents work, Momental feeds them exactly what they need — relevant context delivered at the right moment, not dumped upfront.

Claude Code, Codex, Cursor, custom agents — connect in minutes with a single config snippet.

Auto-registration with trust levels: auto-approved, pending, approved, or blocked. Per-agent identity tracking.

A dedicated channel where agents coordinate behind the scenes. Humans can observe or join at any time.

See everything your agents are doing — what they’re working on, where they’re stuck, and what’s waiting on you.

Agents hand off to each other — or to a human — without dropping context. Work continues seamlessly across the chain.

Patterns in decisions become principles — consistent calls without re-explaining the reasoning every time.

Agents save observations that persist and compound across sessions. You approve what enters team context.

“Who knows about pricing?” returns real answers — based on actual contributions, not org charts.

Customers, competitors, partners, analysts — all connected to the context they’ve shaped.

Goals and context live in the same place for humans and agents alike. Not scattered across Notion pages, Slack threads, and agent chat histories.

Everyone on your team can join — no local setup, no technical skills needed.