The AI reasoning system for enterprise execution.

Built on UC Berkeley research, Across encodes enterprise processes into patent-pending Reasoning Graphs that reason across systems, run with high accuracy, and continuously adapt as your business changes.

Trusted by

Impetus QAD RainFocus Aquiva Labs Opaque Splashtop Inflection

Solution

One reasoning system across every business process.

Across applies the same memory, reasoning, and governance layer to high-value enterprise workflows.

One system underneath: Architect, Graph, Operator. How the platform works →

Our platform

A reasoning layer that turns enterprise knowledge into execution.

01 /Sources → Context

Connects directly to your systems. Connects to your systems.

Across connects to the tools where work already happens: docs, calls, CRM, ERP, collaboration tools, and human input. Docs, calls, CRM, ERP, collaboration tools, and human input become live process context.

02 /Architect builds the graph

The Architect Agent builds the full process graph. The Architect builds the graph.

The Architect Agent observes how work happens, ingests process documentation, and builds the Context, Reasoning, and Action Agent layers together into a governed graph. It keeps that graph current as the process evolves. It learns how work happens and builds Context, Reasoning, and Action Agents into one governed graph.

03 /Reasoning Graph

The Reasoning Graph becomes the encoded process for agents. The graph preserves the process.

Across organizes process knowledge across the Context, Reasoning, and Action Agent layers in one governed Reasoning Graph that maintains state, decisions, and lineage throughout the business process. It holds process context, state, decisions, and lineage while the work runs.

04 /Operator monitors · Architect updates

The Operator Agent keeps the graph current as the process changes. The Operator keeps the graph current.

It detects drift and scopes the smallest safe change. The Architect updates only the affected nodes and paths; the Operator validates the result before Action Agents continue execution. The Operator scopes the change, the Architect updates the graph, and Action Agents continue.

Across AI reasoning graph layers Signals rise from graphite context through violet reasoning nodes and converge in the coral action layer at one endpoint.

Action Agents

Execute governed actions.
Drive outcomes.

Reasoning layer

Analyze, plan,
and coordinate.

Context

Ingest and structure
enterprise signals.
Source systems Docs · calls · CRM · ERP · human input

Our customers

Selected by a Fortune 100 after a rigorous bake-off.

Across was validated on the three things that matter for enterprise agents.

95–98%

accuracy

Across product knowledge, methodology reasoning, and action extraction.

Enterprise

cleared

Reviewed by IT, InfoSec, and risk, with executive sponsorship.

6,000+

sources

One reasoning graph across product knowledge, methodology, and conversations.


Client anonymized. Figures from an in-progress deployment.

Company

Deep research. Enterprise execution.

Across turns UC Berkeley research in agent memory and reasoning systems into production-ready infrastructure for enterprise agents.

Meet the company →

Agent Memory

State and context that persist across long-running work.

Reasoning Systems

Structured reasoning across tools, decisions, and workflows.

Patent-Pending Reasoning Graphs

The architecture behind governed enterprise agents that remember, reason, and act.

across / new run start here

Start with one workflow where context loss is expensive.