Infrastructure · Consulting · Platform / Design concepts
AI systems that survive contact with production.
A design goal, not an operating claim.
VantaCore AI helps enterprise technology decision-makers evaluate AI productivity, cloud infrastructure, secure automation, and integrations. We lead with precise, governance-first information — what is in scope, what remains to confirm, and how a result would be measured — rather than unsupported promises.
VantaCore AI
Conceptual architecture · not a deployed platform
Capabilities / Design concepts
Four ways to work with us.
The artboard's infrastructure, consulting, platform, and enterprise labels are questions to evaluate, not offerings or engagement commitments.
01 / Infrastructure / Design concept
Where would the workload run?
Which model access, routing, and operational boundaries would need to be evaluated for one defined workload?
02 / Consulting / Design concept
Who owns the work, and until when?
What engineering involvement, evaluation criteria, ownership, and handover would need to be agreed?
03 / Platform / Design concept
Is a shared interface warranted?
Would a shared interface for versions, evaluation, and usage be appropriate? No platform is confirmed.
04 / Enterprise / Design concept
Where must the data stay?
Which data boundary and installation shape could be assessed? Deployment availability is unconfirmed.
Architecture / Proposed diagram
One control plane between your product and every model.
A conceptual diagram for evaluation only. No shared API, control plane, model integration, or deployed layer is verified.
Proposed input
Your applications
Proposed interfaces
SDK, CLI, and dashboard to assess
VantaCore core / Unimplemented design concept
Questions about authorization, quotas, request shaping, and model selection would be resolved per scope.
Gateway / Proposed layer
How would authentication, quotas, rate limits, and request shaping be governed?
Router / Proposed layer
What model selection, fallback order, and retry policy would need approval?
Orchestration / Proposed layer
Which streaming, tool-call, and multi-step workflows would be in scope?
Evaluation / Proposed layer
What scoring, comparison, and regression gates would be required?
Observability / Proposed layer
What traces, token accounting, and cost attribution would be necessary?
Policy / Proposed layer
What roles, redaction rules, and audit evidence would be agreed?
Possible target / Not connected
Hosted foundation models
Possible target / Not connected
Fine-tuned adapters
Possible target / Not connected
Your own weights
Website discovery / Live documentation
These links describe this website's published discovery interfaces, not the conceptual platform diagram.
Solutions / Evaluation areas
Four areas we evaluate.
Each area is a brief describing how an evaluation would be approached and what remains to be confirmed. None is an available product.
01 / AI productivity
AI applied to one workflow you can define, measure, and review.
How could AI improve a specific employee workflow without creating unreviewed risk?
- ▪ To confirm: Which workflow and which users are in scope
- ▪ To confirm: Which knowledge sources the workflow may read from
- ▪ To confirm: How access and permissions are enforced against those sources
02 / Cloud infrastructure
Infrastructure evaluation before a workload, not after.
What infrastructure constraints must be resolved before an AI workload can run responsibly?
- ▪ To confirm: Which cloud platforms and regions are in scope for your environment
- ▪ To confirm: Where the workload sits and who controls that boundary
- ▪ To confirm: The split of deployment and operational responsibilities
03 / Secure automation
Automation with the approvals and audit trail written in.
Which process can be automated with the oversight my organisation actually requires?
- ▪ To confirm: Which process, and where its boundary sits
- ▪ To confirm: The events that trigger it and the events that stop it
- ▪ To confirm: Where a human approval is mandatory
04 / Integrations
Connections that respect the boundaries you already enforce.
How will systems connect without bypassing our data boundaries?
- ▪ To confirm: Which systems connect, and in which direction data flows
- ▪ To confirm: The access model and the credentials each side requires
- ▪ To confirm: The API and data contract each side commits to
Enterprise & security / Options to assess
Built for environments where the data cannot move — as a design question.
Where data can go, who can see it, and what evidence is needed must be established for each engagement. None of these shapes is confirmed available.
Managed concept / Unconfirmed
Run by us
A provider-operated environment to assess
Ownership and change windows to agree
Single-tenant concept / Unconfirmed
Your cloud account
An environment in your account to assess
Upgrade responsibility and cadence to agree
Disconnected concept / Unconfirmed
On-premises or air-gapped
An on-site environment to assess
Offline update and support process to agree
No certification, attestation, deployment, or control plane is claimed. Read the evidence and limits of claim.
Engagement models / Proposed sequence
Three ways in. All of them start with one conversation.
Evaluate, Build, and Operate are proposed stages, not priced engagements, deliverables, or an operating service.
Evaluate / Proposed
Prove it on your workload first.
What baseline, evaluation set, and decision threshold would make the result useful?
Build / Proposed
Ship the first system with your team.
If approved, what ownership, integration, monitoring, and handover would be required?
Operate / Proposed
Keep it healthy once it is live.
If agreed, who would own regression checks, incidents, changes, and review cadence?
Scope, commercial terms, and responsibility would need to be agreed separately in writing.
Company / Identity
A Los Angeles AI development company.
VantaCore AI Inc · 145 S. Fairfax Avenue, Suite 200, Los Angeles, CA 90036
Company informationWhat we do not publish
Evidence before assurances.
We do not substitute customer logos, unverifiable metrics, or borrowed compliance badges for evidence. Ask a specific question and distinguish what this site verifies from what a proposed engagement would need to prove.
Read the trust approachContact / Direct channels
Contact VantaCore
Send a sales inquiry or open a support case on the Contact page, or use the published email address or phone number below.
Describe your question at a high level. Do not send passwords, credentials, customer data or other sensitive information.
Published contact details
- Phone
- (949) 214-4075
- Hours
- Monday to Friday, 09:00–17:00 PT
- Office
- VantaCore AI Inc
145 S. Fairfax Avenue, Suite 200, Los Angeles, CA 90036
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