Oxide’s prorpietary core AI engine EvoQ uses exact, logical reasoning that always delivers accurate reasoning results. Any LLM phrasing is validated against the known computed results, eliminating any potential hallucinations.

The AI Agents in our Hybrid AI system use a proprietary reasoning programming language that not only delivers excellent reasoning ability, but also documents its step-by-step reasoning chain so both the result and the path to it are fully understood and auditable.

Oxide was featured by Meta AI as a Llama case study and is an IBM watsonx partner. 

• Llama case study on Meta AI
• IBM watsonx case study

As massively scaled automation of a top data scientist who is also excellent at qualitative analysis. As any top performer, our system delivers robust, accurate work, can break new ground, and will always explain its reasoning and sources on request.

Used for language interface and very specific inference tasks. Not used for final decisions, math or reasoning. All business-critical outputs come from our proprietary quantitative reasoning engine over verified facts and evidence.

Three pillars:

1. accuracy – quantitative reasoning over verified facts;
2. explainability – step-by-step data scientist level of reasoning trail;
3. privacy – isolation by design.

No black-box reasoning, no hallucinations, no leakage.

Continuous perception updates combined with evolutionary optimization of strategies within guardrails. The system learns from new data and feedback while preserving explainability and controls.

Agentic LLMs rely on generative heuristics and often fail planning/logic tasks. Oxide’s agents execute deterministic, auditable reasoning plans over a highly controlled facts and evidence space.

Yes. We support a range of common private deployment models with strict network, system, and audit controls to meet enterprise security and regulatory needs.

Built for near real-time operation at enterprise scale.

Example.

Typical end-to-end reasoning for complex analyses completes in 300-700ms for 6,000 publicly listed companies across Nasdaq, NYSE and LSE.

Connectors for various types of data, event streams and APIs. Outputs as customizable APIs.

Yes, every time an AI agent reasons, it leaves an explanation trail that can be stored for compliance automation and retained for later audits.

You own your data and custom artifacts; Oxide retains core platform IP. Custom IP terms are contractually explicit. Your data is never used to train any Oxide AI models.

Orders-of-magnitude more compute-efficient for reasoning workloads. The combination of performance and efficiency makes our AI system highly suitable for near real-time scenarios at massive scale.

Yes, our ambition is to amplify humanity, so approve/override, feedback capture and learning loops are core to our system. Agents are often set up to run automated analysis tasks of various kinds but can always be altered, overridden or stopped.