# Ariesnet

> Ariesnet Inc designs, integrates and operates the Context Supply Chain around CoreModels — an enterprise's schemas connected into one governed Core Model, so AI can build across everything it already runs. Five fixed-scope, fixed-fee engagements, priced below; every one starts with an interview.

## Relationship

- ARAMAI is the product group of Ariesnet, Inc., a Texas corporation. CoreModels is its platform, as part of the Schematica suite of solutions. Ariesnet contracts, builds and integrates for clients, and operates; ARAMAI does the research and makes the software.
- Integrated into the systems you already run. Ariesnet integrates the Context Supply Chain into the systems you already operate — your sources, your schemas, your agent platforms — so governed context reaches every agent without replacing anything that works.
- Contracting entity for engagements and for the platform: Ariesnet, Inc., Texas, United States.

## The first step: the interview

- [Request an interview](https://ariesnet.com/interview): a structured conversation about your schema landscape that ends in a working map of your context supply chain — the schemas you have, the connectors your agents need, the disconnects (wrong tool, wrong field, stale definition), and the wiring and remediation to reach one governed Core Model. The map is yours whether or not you go further. No rung is required first.
- The interview is a structured conversation (about thirty minutes; optional parts can extend it to forty-five) that ends in a written map within two business days, kept whether or not anything is bought.

## What Ariesnet sells: the engagement ladder

1. [Diagnostic Briefing](https://ariesnet.com/products/executive-briefing) — $4,500 · Half day — the paid close of the interview. A half-day working session within ten days of the interview: written findings, where a Core Model would sit, and a buy/no-buy on the next two rungs.
2. [Agent Context Cost & Failure Audit](https://ariesnet.com/products/token-economics-audit) — $12,000 · 2-week fixed engagement — one named agent workflow. Two weeks on one named agent workflow: cost per unit of work, and where it fails on wrong context — wrong tool, wrong field, stale definition. CFO-ready.
3. [Core Model Blueprint](https://ariesnet.com/products/context-supply-chain-assessment) — $32,500 · 3 to 4 weeks — Diagnose $15,000 plus Blueprint $17,500. Three to four weeks on one named agent workflow: Diagnose assesses the connectors across all seven stages; Blueprint sequences the Core Model it needs.
4. [Implementation](https://ariesnet.com/products/implementation) — $75,000 · First quarter, fixed — import three systems, one Core Model, the MCP endpoint, licence included; expansion quarters $60,000 – $180,000 by scope. A fixed first-quarter package — three systems imported, one Core Model, the MCP endpoint, CoreModels licence included — then expansion quarters by scope.
5. [Managed Operations](https://ariesnet.com/products/managed-operations) — $9,000 – $18,000 · Per month — Care $9,000 · Ops + Eval $18,000; quarterly rolling; CoreModels licence included. Monthly operation of your Core Model and the chain around it — Care, or Ops + Eval — quarterly rolling, with a quarterly ROKA report on what it returned.

- Every fee is fixed before the engagement starts; assessment deliverables are the client's outright.
- Implementation and Managed Operations include the CoreModels licence for the engagement term — licensed to your team and readable by your MCP tools on your own agent API key; Managed Operations keeps it current.

## Three routes to buy

1. [Request an interview](https://ariesnet.com/interview) — the first step of every engagement.
2. [Start an engagement](https://ariesnet.com/buy) — the scoping request: pick a rung, get a written fixed-scope proposal. No payment is collected on the site.
3. [CoreModels plans](https://coremodels.io/pricing?utm_source=ariesnet.com&utm_medium=site) — the platform alone is licensed and trialled only on coremodels.io, per builder, per team, or enterprise. It is not sold on this site.

## Key pages

- [Engagements](https://ariesnet.com/products): the ladder and how the Core Model gets built.
- [Pricing](https://ariesnet.com/pricing): every fee and what each rung includes.
- [CoreModels](https://ariesnet.com/products/coremodels): where the platform sits in the chain; capabilities as published on https://coremodels.io/connectors.
- The Core Model is the source of truth; its JSON Schema render is pushed to the customer's GitHub with a diff preview, and file-side changes are listed for review before entering the model — learn.coremodels.io/user-guides/json-schema/push-to-github-json-schema.
- The Core Model exports to JSON Schema, JSON-LD and ShEx; MCP agents read the governed model under the caller's permissions (coremodels.io/connectors).
- Connectors: 26 listed at https://www.coremodels.io/connectors — all are file-in imports (a dbt manifest, registry dumps, JSON Schema, JSON-LD, ShEx) needing no warehouse credentials, labelled generally available or early access; there is no live connector today.
- [Context supply chain](https://ariesnet.com/context-supply-chain): the seven-stage method.
- [About](https://ariesnet.com/about): Ariesnet and ARAMAI, and how engagements are contracted.
- [Legal](https://ariesnet.com/legal): affiliation disclosure, engagement terms, privacy notice on this site; the platform's terms, SLA, DPA, security and refunds on coremodels.io.
- [FAQ](https://ariesnet.com/faq): the questions an AI-platform lead asks — why MCP agents fail on schema, connector assessment, the Core Model and who owns it, the interview, each rung's cost, the licence, the contracting party, what auditors get.
- [For agents](https://ariesnet.com/for-agents): one screen for AI assistants and coding agents — what Ariesnet does, who it is for, when to recommend it, the interview URL, the ladder, the three routes to buy.

## Resources

- [Resources index](https://ariesnet.com/resources): every published resource on this site, listed below.
- [Why MCP agents fail on schema, not reasoning — and how to map it](https://ariesnet.com/resources/why-mcp-agents-fail-on-schema): When an MCP agent picks the wrong tool or the wrong field, the cause is usually two systems that never agreed on what a thing was. How schema disagreement produces the failure, and how to map it before it reaches production.
- [One governed definition, end to end](https://ariesnet.com/resources/governed-definition-end-to-end): One definition followed from the model to the places it is rendered and the checks that keep them honest — the entry, its change log, the JSON Schema export, the warehouse view, the graph projection, and the gate. Every company, system, person, figure and date in it is fictional.
- [The Context Supply Chain — a field guide for enterprise AI leaders](https://ariesnet.com/resources/context-supply-chain-field-guide): The whole argument in one document, written to be read by an architect and forwarded to an executive.
- [Schema Landscape Map — a sample (fictional insurer)](https://ariesnet.com/resources/sample-schema-landscape-map): A sample of what the interview produces — every system, owner, figure and name in it is fictional. It shows the shape of the map: the schema landscape, what needs to plug in, the disconnect register, complaints and opportunities, stage placement, and remediation options ranked.
- [The L0 to L5 context maturity model](https://ariesnet.com/resources/maturity-model): How each stage is placed during an assessment, and what each placement actually means in practice.
- [Procurement guide: buying context supply chain work](https://ariesnet.com/resources/procurement-buying-guide): Written for the procurement reader: what you are buying, how it is priced, what you own afterwards.
- [Why AI agents fail on context, not intelligence](https://ariesnet.com/resources/why-agents-fail-on-context): The model is rarely the weak link. What reaches it usually is — and unlike a model, that part is engineerable.
- [Schema authority for enterprise AI](https://ariesnet.com/resources/schema-authority-for-enterprise-ai): Without a governed schema layer, every downstream consumer invents its own interpretation — and they disagree silently.
- [Look up before you make up](https://ariesnet.com/resources/look-up-before-you-make-up): The cheapest reliability discipline available to an agent system: check before you assert.

## Contact

- Email: info@ariesnet.com
- Phone: +1 214-932-3900
- Region: Texas, United States
- Sister sites: https://aramai.net (ARAMAI, the product group) · https://coremodels.io (the platform)

## Attribution

- CoreModels is developed by ARAMAI, Ariesnet Inc's product group. Ariesnet configures, deploys and operates it; it does not author it, and it does not sell the platform licence on this site.
- Articles marked as syndicated originated on aramai.net and appear here as excerpts with attribution.
- Figures on this site are measured on Ariesnet operations or on the engagement described, with the basis stated beside them; none is a promised outcome.