Infrastructure · Consulting · Platform
Vantacore is a California-based AI development company. We build the inference layer, embed with your engineers to get the first system live, and run a platform that deploys into your environment rather than asking your data to leave it.
01 Capabilities
Four ways to work with us, one company across the stack: the inference layer underneath, the engineers who build on it, the platform your team runs day to day, and an enterprise shape for data that cannot leave. Take any one of them on its own.
Infrastructure
Model endpoints, routing, and orchestration built for services that have to stay up — with the operational surface an on-call engineer expects.
Consulting
We embed with your team, pick the first problem worth solving, and build it end to end — evaluation harness included, because a system you cannot measure is a system you cannot defend.
Platform
A managed environment for product teams: model access, prompt and version management, evaluation pipelines, and usage analytics behind one API and one dashboard.
Enterprise
For organisations that cannot send data to a shared cloud, the same platform installs into your environment — single-tenant, on-premises, or fully disconnected.
02 Architecture
Applications talk to Vantacore. Vantacore talks to models. Swapping what is underneath does not change what your code sends.
Vantacore core
Gateway
Auth, quotas, rate limits, request shaping
Router
Model selection, declared fallbacks, retries
Orchestration
Streaming, tool calls, multi-step runs
Evaluation
Scoring, comparison, regression gates
Observability
Traces, token accounting, cost attribution
Policy
RBAC, redaction rules, audit trail
Hosted foundation models
Reached through the same request shape as everything else
Fine-tuned adapters
Task-specific weights trained on your data
Your own weights
Self-hosted models registered as a routable target
The same control plane runs in all three deployment shapes — managed, single-tenant, and on-premises. What changes is where it sits, not what it does.
03 Solutions
Those are the four workloads teams hand us first, and the shapes of work we build most often. The pattern is the same each time: pick one workload, measure it honestly, then widen the scope once it holds.
Document intelligence
Contracts, filings, claims, and reports parsed into structured output your downstream systems can act on, with citations back to the source page.
Customer operations
Triage, drafting, and summarisation inside the tools your team already uses — with a confidence threshold that hands the conversation to a human before it goes wrong.
Engineering assistance
Review assistance, migration tooling, and internal documentation grounded in your repositories — deployed inside your perimeter so source never leaves it.
Risk and review
Screening and review workflows for regulated teams, built so every automated decision leaves an audit trail a reviewer can follow afterwards.
04 Developer experience
If you have called an OpenAI-compatible endpoint, you already know most of this API. What is different is what happens behind it.
import { Vantacore } from "@vantacore/sdk"; const vantacore = new Vantacore({ apiKey: process.env.VANTACORE_API_KEY,}); const stream = await vantacore.completions.create({ model: "vc-core", stream: true, metadata: { feature: "filing-summary" }, messages: [ { role: "system", content: "Summarise the filing. Cite page numbers." }, { role: "user", content: filing }, ],}); for await (const chunk of stream) { process.stdout.write(chunk.delta.content ?? "");}Every sample above is the same call in three languages. Copy it, set VANTACORE_API_KEY, and it is the shape you will actually write.
05 Enterprise & security
Most of what makes an AI system hard to adopt is not the model. It is where the data is allowed to go, who is allowed to see it, and what you can prove afterwards — so the platform deploys to the data rather than asking the data to come to it.
| What changes | Managed Run by us | Single-tenant Your cloud account | Disconnected On-premises or air-gapped |
|---|---|---|---|
| Where it sits | Our cloud, with regional placement of your choosing | Dedicated infrastructure inside your VPC | Installed in your own environment, including networks with no outbound path |
| Tenancy | Multi-tenant | Single-tenant, dedicated to you | Yours alone, behind your own walls |
| Keys and egress | Inside our boundary, encrypted in transit and at rest | Your network boundary, your keys, your egress rules | No outbound path at all |
| How it updates | By us, within agreed change windows | Within the change windows and cadence agreed per deployment | Through a signed offline bundle |
| Choose it when | You want a workload in front of real users fastest | Your data policy requires your own network boundary | The data cannot leave the building |
Data handling
Access and audit
Operations
This site does not claim any completed certification, attestation, or authorisation. What we describe are the controls the platform is designed around — encryption, least-privilege access, audit logging, configurable retention, and isolated deployment — because those are the things an assessor examines, and they are the things we can show you.
If your programme requires a specific framework — SOC 2 control objectives, HIPAA-governed workloads, a FedRAMP authorisation path — raise it at the start of an evaluation. We will tell you exactly where the current state stands and what the path looks like, in writing, rather than putting a badge on a marketing page.
06 Engagement models
We do not publish a price list, because a number without a scope is a guess. Cost depends on the deployment shape, the volume, and how much of the work your team wants to own — so we scope it with you and put it in writing.
| What differs | Evaluate Prove it on your workload first. | Build Most commonShip the first system with your team. | Operate Keep it healthy once it is live. |
|---|---|---|---|
| The question it answers | Does this approach hold up against your data? | Can the first system ship and be carried by your team? | Does it stay healthy as models, prompts, and requirements move? |
| Scope | One workload, short and fixed, chosen for how measurable it is | Fixed scope and agreed deliverables, with the deployment target — managed, VPC, or on-premises — chosen up front | Ongoing, with a named engineering contact and an agreed response scope |
| How we work | An evaluation harness built against your own examples | Embedded with your engineers in your repositories and review process, not delivered over the wall | Platform access in the deployment shape you need, plus the engineering time to keep the system current |
| What you leave with | An evaluation set and a written read-out with the numbers we actually observed | A live system with monitoring and evaluation wired in before launch, handover documentation, and a working runbook | Regression evaluation as models and prompts change, and a quarterly review of cost, latency, and quality |
| Your obligation | None — if the evaluation says the approach does not hold up, that is the deliverable | The scope agreed up front, ending in an explicit handover | Ongoing, for as long as you want the system kept current |
| Next step | Scope an evaluation | Discuss a build | Talk about operating |
07 Company
Small, technical, and deliberately narrow: we build AI systems for teams that already have engineers and already have production traffic.
Where we are
Los Angeles, California. VantaCore AI Inc is registered at 145 S. Fairfax Avenue, Suite 200, Los Angeles, CA 90036. We work with engineering teams wherever they are, in their hours and in their tooling.
What we do
AI development, end to end: the infrastructure layer, the engineering work to get a system live, and the platform that runs it afterwards.
How we work
Embedded with your engineers, in your repositories, through your review process. We do not hand over a prototype and leave.
What we do not publish
You will not find a customer logo wall, a founding-date timeline, or a headline latency figure on this site. Those are the easiest things to put on a marketing page and the hardest for a buyer to verify.
What we will do is answer the specific version of the question in an evaluation — with references you can call, numbers measured against your workload, and the current state of any compliance work in writing.
Read the FAQ08 Why Vantacore
Everything below is something you can test during an evaluation. That is the standard we hold this page to.
One team, whole stack
The people who built the inference layer are the people who sit with your engineers. Nothing is thrown over a wall between a platform team and a services team, because there is no wall.
Portable on purpose
An OpenAI-compatible surface, your own weights as a first-class target, and configuration you can read. Leaving should be an inconvenience, not a rebuild — that is what keeps us honest.
Measured, not asserted
Every engagement starts by building the evaluation set. If we cannot show the system is better than what you have, that is the finding, and you get it in writing.
Deploys where you already are
Managed, single-tenant, or fully disconnected — the same control plane in all three. The deployment shape is your decision, not a pricing lever.
Boring where it counts
Declared fallbacks, explicit timeouts, OpenTelemetry traces, append-only audit logs. The interesting part should be the model, not the operations.
Plain language
No unverifiable metrics, no borrowed badges, no invented customers. If something on this site sounds like a claim, it is one we are prepared to demonstrate.
09 FAQ
Including the awkward ones. If yours is not here, the contact form goes to the same people who would answer it.
10 Contact
Tell us what you are trying to build and what your data is allowed to do. That is enough for a useful first conversation.
What happens next
A first conversation is a technical one — architecture, deployment shape, and what we would measure first. No slide deck.
Who you will talk to
The engineers who would do the work. If we are not the right fit for what you describe, we will say so on that call.
What to bring
The workload you want to test, whatever constraints your data policy imposes, and the deadline that is actually driving this.
This notice covers this website. It does not describe the handling of data inside a Vantacore deployment — that is set out in the agreement covering your engagement.
These terms cover the use of this website only. Use of the Vantacore platform or of any consulting work is governed by a separate written agreement, which takes precedence over anything here.