VLVC
v.4.2 — production
VLVC // PRODUCTION AI INFRASTRUCTURE
VLVC replaces brittle in-house pipelines with a unified platform that ships, observes, and self-heals — cutting the average team’s time-to-production from 14 months to under 9 weeks.
// PLATFORM
VLVC unifies orchestration, observability, and compliance into a single system that ships, watches, and heals your AI workloads in production — so your engineers stop maintaining pipelines and start shipping models.
The same open-source VLVC Orchestrator framework downloaded 2.1M+ times — adopted by teams at Stripe, DoorDash, and Hugging Face — now hardened for production with multi-region failover, GPU scheduling across our reserved 4,800-H100 cluster, and versioned artifact lineage.
Every prediction is observed: data drift, latency, cost-per-token, fairness signals, and rollback thresholds — surfaced through a single queryable timeline. Drift triggers automated retraining pipelines; incidents trigger automated rollbacks. Clients see a 73% drop in MLOps incidents in the first 90 days.
The only inference platform independently audited for FedRAMP Moderate, HIPAA, and SOC 2 Type II in a single deployment stack — so regulated buyers stop bolting compliance on after the fact. Audit-ready evidence is generated continuously, not quarterly.
// VERIFIED FIGURES
Every figure below is sourced from a published report, press release, or customer case study. We don’t benchmark against workloads we haven’t run — these numbers come from our own production deployments in 2024.
Including 3 of the Fortune 10, 14 unicorns, and 22 federally funded research institutions.
Source: VLVC 2024 customer reportAcross Series A (2019), Series B (2021), and Series C (2023) from Sequoia, Andreessen Horowitz, and NEA.
Source: SEC filings & press releasesAcross Boston, London, Singapore, and Munich — including 41 PhDs across 9 countries.
Source: VLVC org snapshot, Q4 2024Open-source orchestration framework surpassed 2.1 million PyPI downloads in Q3 2024.
Source: PyPI download metricsPublished on production ML systems between 2020 and 2024, co-authored with academic partners.
Source: VLVC research indexThe highest reported NPS among mid-market ML platform vendors in the same survey window.
Source: Independent NPS survey, Q4 2024Operated by VLVC on the U.S. East Coast under multi-year reserved capacity contracts.
Source: VLVC infrastructure disclosureAlso named “Coolest ML Platform Vendor” in the 2024 Bessemer Cloud Index.
Source: Forbes & Bessemer, 2024Compliance & procurement
A single deployment stack carries the certifications your security team will ask about on the first call — not on the renewal.
| Control framework | Status | Auditor | Last attested | Coverage |
|---|---|---|---|---|
| FedRAMP Moderate U.S. federal agency authorizations | Authorized | 3PAO (independent) | Q4 2024 | Single deployment stack |
| HIPAA PHI handling for clinical inference | Audited | Independent auditor | Q3 2024 | Single deployment stack |
| SOC 2 Type II Security, availability, confidentiality | Audited | Independent auditor | Q4 2024 | Single deployment stack |
| GDPR / UK GDPR EU & UK data residency, DPA in place | In continuous review | Internal + external counsel | Q4 2024 | EU-West & UK regions |
Report requests route through [email protected]. The full SOC 2 report, FedRAMP package, and HIPAA attestation letter are available under NDA.
Request the audit package →A note from the founding team
“
We started VLVC in 2017 because we had each, in our own way, watched a production model fail in a way no one could explain at 2 a.m. The next decade of intelligent systems will be judged on whether they keep running — quietly, predictably, under audit. That is the only problem we have ever wanted to solve.”
