AI Agents & Infrastructure
Apollo-1
Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
- 0community votes
- 20DR by Ahrefs no change since last check
- 2017founded
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 26 Oct 2026.
A neuro-symbolic foundation model and runtime that combines neural language understanding with symbolic logic for enterprise agents that follow policies
What it is

Apollo-1 is a neuro-symbolic foundation model and runtime for enterprise agents. It unites neural language understanding with symbolic logic in a single integrated computation, allowing agents to follow organizational policies and provide fully traceable decision records.
The system works by combining language understanding from neural networks with the precision of symbolic logic. The agent program declares roles, facts, rules, and permitted actions, while the runtime evaluates these deterministically before taking any action. Every decision is accompanied by an execution trace showing the facts considered, policies applied, and reasoning performed.
Apollo-1 is built on research spanning 9 years and studying millions of task-oriented dialogues from 60,000 human agents. It supports deployment as a managed service or as a custom enterprise deployment, and integrates with AWS and Google Cloud.
Systems
- One integrated runtime combining neural and symbolic systems
- Deterministic policy enforcement before action
- Complete execution trace for every turn
- Natural language program authoring with code generation
- Consistent decisions from identical inputs
- CPU-based logic execution with lightweight language models
- Managed service and custom enterprise deployment options
Pricing
Pricing model: Contact for pricing
Want to see what Apollo-1 does next? Follow them for milestones, new products and stories by email.
Apollo-1 metrics
Signal readout for aui.io: Ahrefs Domain Rating and Majestic link signals, arrows for the change since the last scan.
- 20 Domain Rating no change since last check
- 11 Trust Flow no change since last check
- 33 Citation Flow no change since last check
- 155 Referring domains no change since last check
- 736 External backlinks no change since last check
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 26 Oct 2026. Strongest signal topic: Business (11). Majestic signal 26 Oct 2026, signal shifted 26 Oct 2026. Link signals from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Apollo-1 domain signal
Show the signal details
Public RDAP record, last read 10 Nov 2026, 19:52 UTC.
- Domain age 8 years
- Registered
- Expires
- Registrar Gandi SAS
- DNSSEC Signed
Apollo-1 post-launch signal
The record for Apollo-1 after its launch on Nexora Launch (26 October 2026), from the readings we keep.
- 20 Domain Rating (Ahrefs) no change since launch
at launch: 20 (26 Oct 2026); latest: 12 Nov 2026 - 11 Trust Flow (Majestic)
first measured 26 Oct 2026 - 155 Referring domains (Majestic)
first measured 26 Oct 2026
Day 17 since launch. Next receipt: day 30, 25 Nov 2026. A change here is a reading, not a claim about its cause; lots of things move these figures. Anything we do not measure is not shown.
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Quick answers
- How does Apollo-1 enforce a policy?
- A policy is a declared condition in the agent program, and the runtime evaluates it before an action is permitted. If a confirmation or approval is required, the action is not available until that condition holds. The language model cannot override the result because it never holds the decision.
- Will Apollo-1 give the same answer twice?
- Given the same established facts, program version and state, the symbolic rules and calculations produce the same outcome. Wording may differ because the language model expresses the result, but the decision, the figures and the actions taken do not.
- What is in an execution trace?
- Six groups of fields: the turn and program version that ran, what the agent understood and learned, the sources it read or wrote, the decisions it evaluated and any refusal, the capabilities it executed with its reply checks, and a plain-language account alongside the structured record.
- How do I change what the agent does?
- Edit the agent program, which is typed YAML declaring facts, capabilities, policies, calculations and connections. Describe the change in natural language in the Playground or edit through the CLI. Re-test against established cases and publish a version without requiring domain retraining.
- Do I need to learn a symbolic language to build an agent?
- No. Describe the task and its policies in plain language and a coding agent can author the program, run scenarios and revise from the trace. Your team still defines the rules, connects the systems and validates the behavior.
Apollo-1 has a free listing. The owner can unlock the full profile with a paid launch for $5:
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- Demo video (locked)
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