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Grounded Agentic AI

Grounded Agentic AI
for Advanced-Technology Experts

The Anneal model and its Agent team learn the vocabulary and metrics your field works in, then review patents, papers, company filings, and internal documents — turning the heavy manual work your experts used to do into output that carries its evidence. Your data stays inside the company, and we build automation around your own workflows and take it through to self-sufficiency.

INDUSTRY & INTERNAL DATA DECISION-READY Patents Papers · Research Companies · Supply Chain Equipment · Process Logs Internal Documents Decision History Agentic AI RAG · LLM Data Security Domain Intelligence Human Feedback Loop R&D IP·Legal Product Operations Sales
Patent-pending data-processing structure for hallucination control
Automating expert workloads in advanced industry
Reliability secured across every analysis and answer
01 — Products

Shared Problems as Products;
Specific Governance and Workloads as Professional Services

The judgment work that recurs at every company is handled as standard features in the SaaS products. The data, internal policies, and system constraints that differ from company to company are designed to fit through Professional Services.

PRODUCTS Standardized · Subscription · Deploy Immediately
PROFESSIONAL SERVICES Automation Design · Build · Handover
OFFERINGS
ChipInsight
IP-R&D AI

Reviews patents, papers, company data, and internal documents, from the prior-art search through to design-around options.

Corpus AI
Company Knowledge AI

An AI of your own that reads the documents scattered across your company and answers with the source

Workflow Automation AI
High-volume Task Automation

We automate heavy manual, repetitive work with agents and wire them into your day-to-day work.

AI Transformation Consulting
AI Transformation Roadmap

We assess where your organization and its data stand for AI adoption, and set the roadmap to execute on it.

DEPARTMENTS How far each offering reaches
R&D · Planning
IP · Legal
Production · Quality
Sales · Strategy
Management · Org
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03 — The Stack

A Four-Layer Architecture That Turns Raw Data Into Decisions

Every output travels the same path. Anneal aligns the sources by domain meaning, the agent team cross-checks the evidence, and it comes back in a form you can decide from.

RAW DATA BUSINESS OUTCOME
01
LAYER 01 · SOURCE

Data Layer

Patents, papers, public filings, and internal documents are gathered, filtered against reliability criteria, normalized for notation and units, then embedded as semantic vectors.

Patents Papers Signals
02
LAYER 02 · DOMAINCORE

Anneal Layer

Fine-tuned on domain data and your reviewers' history. It picks up the vocabulary, metrics, and trade-offs your engineers actually use, and is refreshed by the decisions your organization makes.

Embedding Ontology Decision History
03
LAYER 03 · REASONING

Agentic AI layer

Eight specialist agents find the evidence, cross-check one another, and build the plan. A data-processing structure we have filed for patent keeps hallucination in check.

Retrieve Reason Plan
04
LAYER 04 · OUTCOME

Decision-Ready Output

It arrives in a form each department can use as it stands. Review summaries, report drafts, and the next action plan, each with its evidence.

Review Summary Report Draft Action Plan
The decisions your team makes go back into Anneal and tune the model
04 — Start

Just tell us the one problem that frustrates you most right now

We start with that one case. The evidence and the decision from the first review become the starting point for the next one.

inquiry@neuralchainx.com