A causal world model
Not correlations on a dashboard. A structural causal model learned from your own data, where every edge is a real mechanism you can act on.
- DirectLiNGAM graph discovery
- LLM-validated structure
- Your drivers, your relationships
Causal decision intelligence for finance teams
Simulate the decision,
Simulate the decision,
before you make it.
Grapher Labs builds a causal world model from your company's own data — so you can test headcount, pricing, and GTM bets against thousands of possible futures.
Built on frontier causal-ML research
·
Your data stays yours
·
Read-only connections
The simulation layer for high-stakes financial decisions
SOC 2 Type II in progress
256-bit encryption
SSO / SAML ready
Data isolation by default
Audit-grade explainability
The product
One simulation. Every consequence.
Ask a question in plain language. Grapher Labs runs thousands of Monte Carlo futures over your causal model and returns the full cone of outcomes — not a single optimistic line.
app.grapherlabs.com / simulations / q4-runway
12-Month Runway Forecast
Cash runway under do(sales_hc = 45) vs. baseline · N = 1,000 simulations
28mo24mo20mo16mo12mo
Month 9
Intervention P50 23.6mo
Baseline P50 18.4mo
90% interval: 21.1 – 26.0mo
NowM2M4M6M8M10M12
do(sales_hc = 45)
Baseline
90% confidence band
ScenarioRunwayNet burnARR (EOY)Confidence
Baseline
18.4 mo$230K/mo$1.25M
92%
Cut sales hiring 20% selected
23.6 mo$181K/mo$1.19M
88%
Raise prices 10%
20.5 mo$214K/mo$1.36M
79%
Double GTM spend
15.0 mo$292K/mo$1.58M
71%
Why Grapher Labs
Dashboards tell you what happened.
Dashboards tell you what happened.
We tell you what will.
Every FP&A tool shows correlations on a chart. Grapher Labs models the causal mechanics underneath — so you can intervene, not just observe.
Counterfactual simulation
Run the do() operator across thousands of Monte Carlo futures.
See the full distribution of outcomes with honest confidence bands.
- True interventional do-calculus
- 1,000+ futures per question
- Cone of outcomes, not point guesses
Explainable attribution
Every number traces back to a cause. Get a board-ready "why" chain your CFO, your VP Finance, and your investors can all audit.
- Causal-path attribution
- CF-Shapley contribution scores
- No black-box, no hallucinated math
Why now
Frontier models can't see around corners.
Frontier models can't see around corners.
That's the problem we solve.
16%
of AI agents survive a full long-horizon enterprise simulation. The problem is genuinely unsolved — that's exactly where we build.
EnterpriseArena, arXiv 2026221%
year-over-year growth in CFOs adopting FP&A and scenario software in 2024. The category is buying — right now.
Abacum, 2024Dynamics
blindness
blindness
the cascading, second-order side-effects of a decision that every spreadsheet and frontier LLM consistently misses. We cure it.
World of Workflows, arXiv 2026
How it works
From raw financials to a board-ready answer.
Four steps. Most pilots go from connected data to their first simulation in under three weeks.
01
Connect your data
Read-only sync with QuickBooks, NetSuite, Stripe, Salesforce, and Snowflake — or just upload a CSV. Your data stays isolated to your workspace.
02
We build your causal model
Grapher Labs discovers the structural graph linking your business drivers — headcount, pipeline, revenue, burn — and fits the equations between them.
03
Simulate any decision
Ask "what if" in plain language. We apply the intervention and roll thousands of Monte Carlo futures forward across a 12-month horizon.
04
Get the why
Receive the outcome distribution and a fully-attributed causal explanation — the headline, the mechanism, and the numbers behind it.
Solutions
Built for the decisions that keep CFOs up at night.
Headcount planning
Should we hire, hold, or cut?
Model the runway, pipeline, and revenue impact of every hiring path — including the lag between a rep starting and a deal closing.
Pricing
What does a 10% raise actually cost us?
Simulate price changes against churn, expansion, and win-rate response — so you see net revenue, not just list-price math.
GTM allocation
Where does the next dollar go furthest?
Compare marketing, sales, and product investments on a single causal footing, with the second-order effects included.
Runway & fundraising
How long do we really have?
Pressure-test runway under thousands of macro and execution scenarios before you walk into the board — or the raise.
Grounded in research
Standing on the frontier of causal ML.
Grapher Labs is built directly on top of the newest work in causal foundation models, counterfactual inference, and LLM-agent simulation — and contributes a financial-domain prior that none of it has.
"Frontier LLMs suffer from dynamics blindness — a consistent inability to predict the cascading side-effects of their actions in complex enterprise systems." — World of Workflows benchmark, 2026Talk to the team
Causal foundation models
CausalLongPFN: longitudinal causal prediction
Multi-step potential outcomes under future treatment sequences.
arXiv · 2026 Intervention without graphsDo-PFN: amortized interventional prediction
Estimate causal effects from observational data — no DAG required.
arXiv · 2025 Enterprise simulationEnterpriseArena: the 132-month CFO benchmark
Only 16% of agent runs survive a full long-horizon firm simulation.
arXiv · 2026 AttributionCF-Shapley: single-observation causal attribution
Attribute one company's outcome — not a population average.
arXiv · 2024
Pricing
Start with one decision. Scale to every decision.
Transparent, finance-friendly plans. Every engagement starts with a scoped pilot so you see a real, validated simulation before you commit.
Pilot
Scoped/ one decision
A single high-stakes scenario, modeled end-to-end on your data, delivered as a board-ready simulation in ~3 weeks.
- One decision type (e.g. headcount)
- Causal model built on your data
- Full outcome distribution + attribution
- Dedicated onboarding
Most popular
Growth
Custom/ year
Continuous simulation across every major decision, with live data sync and unlimited scenarios for your finance team.
- All decision types
- Live read-only data connections
- Unlimited scenarios & seats
- Agent population modeling
- Priority support & quarterly reviews
Enterprise
Custom/ year
For finance orgs with strict security, deployment, and integration requirements.
- SSO / SAML & role-based access
- Private deployment options
- Custom integrations & data residency
- Dedicated solutions engineer
- SLA & security review
How is this different from FP&A tools like Mosaic or Pigment?
Those tools are excellent at dashboards and correlations — they show you what happened and let you build linear "what-if" formulas. Grapher Labs models the causation underneath your business and runs true interventional simulations, so you see the second- and third-order consequences a spreadsheet can't capture.
Do you need our raw financial data?
Yes — the causal model is built from your own data, which is what makes it accurate. Connections are read-only, your data is isolated to your workspace, encrypted in transit and at rest, and we never train shared models on your data without explicit consent.
How long does a pilot take?
Most pilots go from connected data to a first board-ready simulation in about three weeks. The first one to two weeks are discovery and data connection; the rest is model building, validation, and your first scenarios.
What decisions can I simulate?
Today: headcount changes, pricing changes, GTM spend allocation, hiring freezes, and runway / fundraising scenarios. We're continuously expanding the decision library, and the architecture generalizes to any intervention your causal model supports.
Is the model explainable and auditable?
Completely. Every number in an explanation traces back to a data source, a structural-equation coefficient, or a Monte Carlo statistic. If a figure can't be traced, it never appears. That auditability is the whole point.
Who is Grapher Labs built for?
CFOs, VPs of Finance, FP&A teams, and founders making high-stakes resource-allocation calls — typically at B2B SaaS companies from Series A through growth stage.
Stop guessing.
Start simulating.
Book a 30-minute demo. Bring a real decision — we'll show you what your own data says about it.
- ✓ See a live simulation on real numbers
- ✓ No engineering lift to get started
- ✓ Your data stays yours, always