How Afterflow Works
Give us the situation.Run the decision.
Most teams still make high-stakes decisions with docs, meetings, and instinct. Afterflow lets them run the decision first.
Connected Context
Simulation Core
World model
Individual actors, constraints, state, and timelines grounded in company context.
Cohort swarms
Persistent memory
Stochastic runs
Path comparison
Decision Report
Architecture
Not one agent.A whole environment.
Afterflow does not model one responder. It models the surrounding environment at the level of individual actors with memory, state, and agency.
Ingest the context
Pull in the documents, systems, stakeholders, and constraints that define the decision.
Build the environment
Afterflow turns that context into a working model of your company, its stakeholders, and the pressures around it.
Run the decision
The simulation advances time and shows how people and systems react as the decision moves through the environment.
Compare the paths
Test options side by side and see where outcomes diverge before you commit.
Deployment Options
Private deployments
For teams with tighter security or residency requirements, Afterflow can be structured around a customer-controlled setup rather than a shared environment.
Private instance
For teams that need stronger isolation, the system can be scoped into a customer-controlled environment instead of a shared deployment.
In-region processing
Model processing and storage can be constrained to the regions an enterprise requires for residency or regulatory reasons.
Customer-owned context
Connected systems, embeddings, and simulation state can remain inside the enterprise boundary when the environment calls for it.
Enterprise Access
Start with one real decision.
Founding partners help shape simulation models, stakeholder agents, real-world scenarios, and integrations. They get early access, secure deployment options, and direct product influence.