MEET APOLLO-1

Neuro-symbolic AI.
Agents you can trust to act.

Neuro-symbolic AI combines the language understanding of neural networks with the precision of symbolic logic. Apollo-1 unifies both in one runtime for enterprise agents. Define the work and the rules and it determines the path, enforces policies deterministically, and makes every decision traceable. No domain retraining. No mapping every workflow. Build faster. Run for less.

Talk to AUI How it works

One integrated runtime. Not an LLM with orchestration, a better harness, or separate neural and symbolic systems stitched together.

APOLLO-1 / EXECUTION RECORD Traceable

01 / THE REQUEST

“Can I expense the $2,400 data analytics course?”

01
ESTABLISH THE FACTS
Active employee, 14 months. Course approved. $500 used this year.
02
APPLY THE POLICY
80% of fees, up to $2,000 a year: $1,500 permitted.
03
DETERMINE THE NEXT ACTION
Report the amount. Hold submission for manager approval.

Eligible.
Annual cap applied.

Illustrative scenario · Simplified execution record · Turn 1 of 4

LANGUAGE + LOGIC. ONE INTEGRATED RUNTIME.EXPLORE APOLLO-1

WHAT THIS CHANGES

A new foundation.
For enterprise agents.

Trust your agent.

Neural AI understands language. The symbolic brain decides.

LLMs interpret requests and hold fluent conversations. Symbolic logic enforces your policies deterministically, calculates precisely and governs permitted actions. Reasoning in code, not weights—with a trace of what ran.

See where decision authority sits

Build faster.

Declare the requirements once. Let the runtime find the path.

Describe the work and policies in natural language. Apollo-1 determines the next step as requests change. No mapping every conversation branch. No domain retraining when your policies change.

Explore the build process

Run for less.

Run the logic on CPUs. Keep the LLM focused.

The symbolic brain structures the task and executes rules and calculations on CPUs. Lightweight LLMs such as Flash and nano handle focused language work with far fewer tokens—without repeatedly reasoning through the task.

Discuss your deployment costs

New to the term? What neuro-symbolic AI means Already using LLM agents? See what changes

THE BREAKTHROUGH / WHY NOW

Nearly a decade
in the making.

AUI created a universal symbolic language that captures the structure of work: roles, relationships, conditions and state. Meaning comes from neural language understanding; the symbolic runtime determines how the task gets done.

Built from the structure of real work, the same foundation extends across domains—from claims and returns to HR and beyond. Supply your rules, without domain retraining.