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Simulate, analyze, and visualize any decision.

Timepoint is a grounded simulation engine: describe a moment in plain language, run multiple scenarios across every branch, and get a confidence-scored, source-traced result you can read and share. Stress-test an M&A or investment decision before you commit a dollar.

SEE THE DECISION TREE BEFORE YOU CLIMB IT

For deal teams · by request
Series A negotiation — modeled by Timepoint
Confidence-scored Every branch modeled Series A Negotiation · outcome before you sign
Confidence-scored on every branch
Your deal data never trains a model
Source-traced every claim is auditable
Apache-2.0 open-source engine
The Decision

See the decision tree before you climb it.

Every deal branches into a tree of consequences — which term sheet closes, who allies, who blocks, what follows each path. Timepoint renders that tree and scores each branch by confidence before you commit the capital. The Causal Decision Graph below is a real Series A run. Scroll it.

Run my deal → See the sample report →


The Product

What Timepoint does

Timepoint is a grounded multi-agent simulation engine. Describe any moment in plain language — a negotiation, a launch, a turning point in history — and the platform renders it as a causally-coherent world: real characters who reason and react, dialog and scenes that hold together, and a decision-grade result you can read, score, and share. The same engine that reconstructs the past from primary sources projects your future across every branch.

1 · Describe a moment
Type the scenario in plain language — who's in the room, what's at stake, what you're deciding. No schemas, no scripting. The Conductor expands your prompt into a fully-specified simulation and grounds it against live sources.
2 · Run a grounded simulation
A multi-agent pipeline simulates how real people behave under pressure — coalitions forming, trust eroding, information cascading — with 19 composable mechanisms and five temporal modes, including backward causal discovery from a target outcome.
3 · Get causally-coherent characters
Out comes a coherent world: characters who speak and act in-context, dialog and scenes that follow cause and effect, and AI-rendered imagery. Every claim is source-traced and every causal edge is confidence-scored.
4 · Share a decision-grade result
Export the branch map and causal graph straight into a memo, or share a link your team can explore. A result you can defend in front of an investment committee — not a gut call.
Request access → See it run on a real prompt →


Who This Is For

Built for the people who own the decision.

VC Due Diligence
See which term sheet survives contact with the room before you walk in. PORTAL mode reasons backward from your target exit. Timepoint simulates investor dynamics across branching paths — who allies, who blocks, which path closes. Every path is confidence-scored.
Run a diligence sim →
Corporate Development / M&A
Know who will champion and who will torpedo the acquisition before the integration meeting. 19 composable mechanisms model how real groups behave under pressure — coalitions forming, trust eroding, information cascading — so you price the deal on the outcome, not the pitch.
Stress-test an acquisition →
Investment Committee
Bring the IC a confidence-scored branch map, not a gut call. Each path is source-traced and auditable, so the committee debates the evidence — not the storyteller. Export the causal graph straight into the memo.
Prep an IC memo →


Field Notes on Deal Risk

How to stress-test an M&A or investment decision across every branch — confidence-scored, source-traced — before a dollar moves. Instant download, no sales call.



Under the Hood

The engine behind the decision

The Conductor

Just say what you want. The Conductor is your natural-language home for the whole platform — it runs simulations, finds money, models prediction markets, renders moments, and reports spend as it goes. One conversation drives every engine, and the built-in App Store adds new capabilities as they ship.

Request access →

Synthetic Time Travel

Describe any moment in history and watch it render in real-time. Characters speak, act, and reason based on historical context. A 14-agent pipeline verifies every detail against primary sources.

Request access →

Clockchain

Explore a growing temporal graph of 20,000+ historical moments and 547K+ causal connections. Every moment is content-addressed and verifiable. The graph grows autonomously 24/7.

Explore the graph →

Chat with History

Talk to historical figures rendered from primary sources. Ask Julius Caesar about crossing the Rubicon. Each character's voice emerges from verified historical context — not a generic persona.

Request access →

Pro Simulations

Run multi-agent simulations with 21 behavioral templates, custom parameters, and AI-assisted prompt expansion. Social network analysis meets temporal intelligence. Five temporal modes including backward causal discovery.

Request access →


From the Clockchain

Every moment tells a story

Click through real moments from the Clockchain — each one rendered by Flash with period-accurate characters, dialog, and AI-generated imagery.

clockchain:// · loading...
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Source
Year
Layer
Path


The Compounding Advantage

The Clockchain

Every query strengthens every future query. The Clockchain is a live, autonomously growing temporal causal graph. An AI graph expander discovers and links related events around the clock. The more you use it, the smarter it gets.

20,000+
Timepoint Nodes
547,000+
Causal Edges
27
Edges per Node
How the Graph Compounds
Flash
Renders past
Clockchain
Stores + compounds
Pro
Simulates futures
The graph expander discovers related events and links them automatically. Every new node enriches the context available to every future rendering.


How It Works

Describe a moment. Get a simulation.

Type any scenario in plain language. Flash renders historical moments against live sources. Pro stress-tests future scenarios through a social graph. You describe the situation. The engines handle the complexity.

"AlphaGo plays Move 37. Seoul, March 2016."
Flash grounds the scene against multiple sources — match transcripts, commentary, technical papers — then renders Fan Hui's shock, Lee Sedol's twelve-minute silence, Hassabis watching remotely.
Source-verified scene with dialog Provenance for every claim AI-generated period imagery
"Our Series A negotiation. Three VCs, two competing term sheets."
Pro simulates investor dynamics across branching paths — who allies, who blocks, which strategy survives contact with the room. PORTAL mode reasons backward from your target outcome.
Branching causal futures Per-path confidence scoring Exportable causal graph
"The assassination of Julius Caesar. Rome, 44 BC."
Flash reconstructs the Ides of March from Suetonius, Plutarch, and Appian. 23 stab wounds. Brutus's hesitation. The Senate scattering. Every detail verified against primary sources.
Multi-character dialog Historical source verification Confidence-scored causal edges


Request access to Timepoint

Timepoint is in limited access — we're onboarding approved users in batches. Tell us who you are and what you'd use it for, and we'll be in touch when your access is ready.

Already approved? Sign in. We'll never share your address. See our Privacy Policy.



Join the TestFlight

Timepoint is coming to iPhone. Render historical moments, chat with characters, and explore the Clockchain — all from your pocket. Submit your email to get early access via Apple TestFlight.

Timepoint
Apollo 11 Moon Landing
July 20, 1969
Neil Armstrong and Buzz Aldrin become the first humans to walk on the Moon...
Explore Render Chat


Open Source Foundation

Built for developers

Every engine is Apache 2.0. Fork it, audit it, run it locally. The MCP server connects any AI agent to the temporal graph. Full API documentation available.

TDF Spec
Timepoint Data Format — the JSON-LD interchange connecting every service
Open Source
Clockchain
Temporal causal graph with REST API and MCP server for AI agents
Open Source
API Docs
Full API documentation for Flash, Clockchain, and Pro
Mintlify
GitHub
Open-source repos — Flash, Clockchain, MCP, TDF, SNAG-Bench, Proteus, and more
timepointai
MCP Server — connect your AI agent in one line
{
  "mcpServers": {
    "timepoint-clockchain": {
      "url": "https://clockchain.timepointai.com/mcp/"
    }
  }
}

Works with Claude Desktop, Cursor, Windsurf, or any MCP-compatible agent. Read operations are public.

Full Developer Profile →


The Ecosystem

Five products. One temporal intelligence platform.

From the simulation engine to the causal graph to the developer API — every product in the Timepoint ecosystem compounds into a single, growing advantage.

Flash
The temporal simulation engine. A 14-agent pipeline renders any moment in history with causally coherent characters, dialog, and AI-generated imagery — grounded in primary sources.
Open Source
Clockchain
Historical knowledge graph with 20,000+ verified moments and 547K+ causal edges. Grows autonomously 24/7. Every render strengthens every future query.
Live Graph
Pro
Enterprise temporal intelligence. 19 composable SNAG mechanisms, 5 temporal modes including PORTAL (backward causal discovery), and TDF export for AI training pipelines.
Enterprise
MCP
Model Context Protocol server for AI agents. Connect Claude Desktop, Cursor, or any MCP-compatible agent to the full temporal graph in one config block. Read tools are public.
Developer API
SkipMeetings
AI meeting preview powered by Flash. Preview the outcome of any meeting before it happens — agenda, attendee dynamics, likely outcomes. See it before it happens.
SaaS
API Access
Manage your API keys, MCP tokens, and integrations from the settings dashboard. Flash, Clockchain, and Pro all accessible via the unified Gateway API.
Dashboard


Causal Decision Graph

See the future tree before you climb it.

Every decision branches into a tree of consequences. Timepoint renders that tree — who invested, who passed, what follows each path — before you commit to any of them. The TWGF (Time Wave Graph Field) visualization shows causal futures in real time.

Causal decision graph · TWGF scroll to zoom · drag to pan
Series A Decision Term sheet signed invested in series A Counter-offer negotiation revised terms Walk away passed on series A Board seat + pro rata strong alignment Strategic investor enters co-lead round Revised valuation accepted lower cap, more equity Founder walks, bridge round bridge to reassess Series B in 14mo invested in series B Pivot required, flat round pivot, flat round
Request Access →


Beyond the Deal

The same engine renders history.

The causal modeling that stress-tests your deal was first proven on the hardest test set there is: the historical record. Explore it if you're curious — it's the provenance behind every confidence score.

Synthetic Time Travel
Render any moment in history — characters, dialog, and scenes grounded in primary sources by a 14-agent pipeline. The same causal engine that scores your deal branches, run against the past. Chat with a figure if you like; ask Caesar about the Rubicon.
Browse the Journal →
AI Agent Grounding
Your agent answers questions. With Timepoint, it answers the right ones. The Clockchain is a structured causal graph with confidence-scored edges — not flat vector embeddings. Query by spatiotemporal URL. MCP server live at clockchain.timepointai.com/mcp/.
Read the dev quickstart →
From the Journal

Recent moments from the Clockchain

AI-rendered historical moments — each one grounded in primary sources with period-accurate characters, dialog, and imagery.



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New engines, Clockchain milestones, and the occasional rendered moment from history — delivered to your inbox. No noise, no spam. Confirm once, unsubscribe anytime in one click.

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The past is renderable.
The future is simulatable.
Begin.

Request Access Read the Docs Talk to Us →