VantEdge
Sovereign AI Platform/GPU → Agent

Own your AI.

A full-stack developer platform — from GPU compute to production agents — with deterministic execution you can prove and don't need to re-check.

GPU→Agentone stack·100%reproducible runs·Nodata leaves your infra
atlas · finance workspace
Building your workflow

Step 3 of 5 · Authoring Group by region + amount

How many credit notes did we issue last quarter, by region?

query_data1.4s
credit_notes · last quarter · group by region
Golden:credit_notes_by_regionexecuted verbatim
netsuiteSQL Query
netsuitecredit_notesregions410 rows1.4s
Data previewShow me a visualizationTimelineExport CSV

Last quarter we issued 410 credit notes across four regions, totalling $769,770. US-WEST led by amount at $284,120; EU-DE was the smallest at $91,470.

credit_notes_by_region · 4 rows
regionn_notestotal_amountavg_notevs_prior_qtr
US-WEST142$284,120$2,001+18.2%
US-EAST118$219,880$1,863+7.4%
CA-CENTRAL96$174,300$1,815−3.1%
EU-DE54$91,470$1,694+2.6%

Runs on the infrastructure you already control

AWSGoogle CloudAzure+ on-prem & air-gapped
01The stack

No integration tax. Start with one layer and easily add more layers later.

From GPU to Agent,
one sovereign stack.

00 · COMPUTEGPU Fleet01 · ACCESSAI Gateway02 · COMPUTEInference & Training Manager03 · KNOWLEDGEContext Enginedet · verified04 · TRUSTDeterministic Execution05 · BUILDAgent Builder
02Deterministic execution

Follows your rules.
Every time.

Non-deterministic agents are why AI projects never reach production. Our execution layer makes every run reproducible and verifiable — with a full audit trace from agent to datasource to model.

  • Reproducible by design. Pin models, seeds, tools, and context — replay any run bit-for-bit.
  • Verifiable outcomes. Every output ships with an evidence trace.
  • Provable to auditors. Deterministic logs that satisfy risk and regulatory review.
Run receipt
Verified
run_01HZ4T3P8Q7X4M2K9WVNAug 12, 2026 · 14:22:07 UTC
Query
“Credit notes issued last quarter, broken down by region.”
Fingerprint
modelllama-3.3-70b @ sha256:e2a4…
seed42
tools6ce1… · 6 registered
policyv3 · 0 violations
→ result0xa47c9f1b8e2d…
Sources touched
netsuite:ledgerpostgres:credit_notes
Latency · Rows
412 ms · 1,847 rows
Replayed 42× · all hashes matched
03The vendor-neutral control plane

One place to run any model and any agent — route, govern, ground, and prove. Vendor neutrality isn't bolted on; it's the control plane the whole platform runs through, over infrastructure you control.

Agents & appsshipped on your infraAI Gatewayroute · govern · fail overContext Engineretrieval · groundingAny modelopen-source & customDeterministic ExecutionTEP · golden queries · policyClaude & Codexcall in · via MCPYour dataPostgres · SaaS · files

Works with MCP · publish your deterministic agents over MCP and tools like Claude and Codex can call them — inheriting reproducible, policy-checked execution.

04Platform

Five integrated layers. Adopt the whole stack, or slot in the piece you need — they compose.

01 / ACCESS

AI Gateway

Route, rate-limit, and observe every model call — open or closed, hosted or sovereign — behind a single policy-controlled endpoint.

02 / COMPUTE

Inference & Training Manager

Schedule, scale, and serve inference and training jobs across your own GPUs. Fine-tune and train without leaving sovereign infrastructure.

03 / KNOWLEDGE

Context Engine

Retrieval, long-term memory, and grounding over your private data — the knowledge substrate every agent reasons on.

04 / TRUST
★ Flagship

Deterministic Execution

Reproducible, verifiable agent runs with a full audit trace. The difference between a demo and production you can trust.

05 / BUILD

Agent Builder

Design, evaluate, and deploy agents on top of the full stack — with the whole platform underneath them from day one.

See the whole platform

One integrated, sovereign stack — GPU to Agent. See how the layers fit together.

05Services

We help you manage the infrastructure, build the agents, and train the models.

A clear path from idea to production.

A typical engagement — with an outcome at every step.
IDEAVANTEDGEYOUPRODUCTION
Week 1DiscoverUse-case map, infra audit, success metrics agreed.
Weeks 2–3DesignReference architecture and a deterministic eval plan.
Weeks 4–8BuildA working agent, app, or model on your sovereign stack.
Weeks 9–10HardenReproducibility, security, audit, and load-testing.
OngoingEnableYour team trained to run and extend it independently.

Sovereign by architecture

You draw the boundary. Agents respect it.

06Sovereignty

Your models. Your data.
Your infrastructure.

Compute runs next to your data, inside your own environment — nothing is shipped out to a third-party model API. Because that's a property of how the platform is deployed, you can verify it rather than take our word for it.

In-place processing

Compute runs where your data lives. No exfiltration, by design.

Full audit trail

Every call, context, and output logged for compliance review.

Data residency

Hard geographic and network boundaries you configure.

No lock-in

Open formats and your own infra — leave any time, take it all.

07Connectors

Your agents plug into the tools you already run — 300+ connectors across databases, warehouses, SaaS, and storage, grounded through the Context Engine.

Postgres
MySQL
MongoDB
Snowflake
BigQuery
Databricks
ClickHouse
Redis
Elastic
Supabase
HubSpot
Notion
Gmail
Drive
Sheets
Stripe
GitHub
GitLab
Jira
Confluence
Zendesk
Shopify
Airtable
Dropbox
Linear
Asana
Zoom
Datadog
300+more
08From the field
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