We architect, build, and operate production AI systems for Fortune 500 teams - without the research-lab theater.
Built for
The platform
The AI infrastructure layer Fortune 500 teams deploy before the pilot becomes a liability.
01 / 05
Model routing & cost control
The control plane for every model call across your stack.
Incoming request
model: auto · tokens: 1,240
AI Gateway · Route Engine
Cost ceiling
< $0.01 / req
Latency SLO
< 200 ms p95
Policy
HIPAA · SOC 2
active
OpenAI
gpt-4o
$0.008 / 1k tok
Anthropic
claude-3-5
118ms p50
Bedrock
nova-pro
$0.003 / 1k tok
Self-hosted
llama-3
41ms p50
02 / 05
Policy-driven runtime trust layer
A mandatory enforcement layer between every agent and the outside world.
Agent prompt
"Summarize contract #4821 and update the risk register…"
Prompt Inspection
PII redacted · injection blocked
Retrieval Sanitization
3 chunks filtered · 12 retained
RBAC Tool Gate
write_db blocked · read allowed
Response Validation
policy v2.4 · schema valid
Audit record emitted
policy
v2.4
actions
4 logged
export
SOC 2 ready
03 / 05
Unified AI orchestration layer
Multi-agent orchestration, retrieval, and governance in one stack.
Orchestration Hub
Coordinating 4 agents · pipeline depth 3 · 468ms total
Retrieval
RAG · 98ms
active
Reasoning
CoT · 340ms
Validator
Policy · 22ms
Dispatcher
Routing · 8ms
Observability
Full trace · 100% coverage
Policy boundary
Enforced per agent hop
Deployment
SaaS · Cloud · Sovereign VPC
04 / 05
Vertical AI for business applications
AI assistants embedded where the work actually happens.
Contract review · Procurement
AI active
Document · Contract #4821
AI findings · 3 issues
Clause 8.3 conflicts with preferred indemnity cap
RiskMaster Services Agreement · §8.3
Payment terms exceed 45-day procurement policy
PolicyProcurement Policy v3 · §4.1
Renewal auto-triggers without board approval gate
GovernanceGovernance Framework · §11
05 / 05
Bid execution intelligence
Turn a 300-page RFP into a ranked requirement ledger in under an hour.
284
Requirements
84%
Coverage
~6 hrs
Time saved
Requirement ledger · ranked by coverage
FedRAMP Moderate authorization
99.9% SLA with penalty clause
On-prem deployment option
FIPS 140-2 encryption at rest
24/7 dedicated support tier
First-response draft ready
Export
How we work
2026 compliance roadmap
Every engagement ships with a written doc, an architecture diagram you can defend to the board, and runbooks your ops team can operate.
Full request tracing across every layer. No assumed trust, no silent gaps between the agent and the data.
Mandatory approval checkpoints on every consequential agent call. Humans stay in the decision chain.
Audit records are yours - structured, exportable, and independent of which provider is in the stack.
Early signals
Anonymized while NDAs hold. Each one a specific bottleneck the team was willing to put under contract.
Top-5 US bank
Model risk management
A 90-day backlog on model-risk reviews and no way to answer which provider was actually responding to which production call. They needed every model endpoint to be an inventoried artifact with a validation trail, not a string in a config. AI Gateway registers each endpoint as a tiered model (primary, challenger, deprecated) and streams events into the MRM register. The backlog compressed into weeks.
Fortune 100 carrier
Claims operations
First-notice-of-loss triage across intake, coverage analysis, fraud signal, and adjuster routing. Compliance blocked every production launch until the architecture could defend each decision in a state insurance audit. Intelligence Fabric turned the agent pipeline into a structured execution trace with per-step evidence. The adjuster's review packet became queryable, not reconstructed.
Regional health system
AI governance
The privacy office had blocked three AI documentation pilots because none of them produced an access log the Office for Civil Rights would accept inside the 30-day response window. AI Guardrails emits a structured evidence record for every PHI interaction, written to a segregated store the privacy office queries directly. The pilot went live without the AI team in the loop for records requests.
Federal program office
Information security
A signed contract for an AI-assisted workflow and an authorizing official who would not accept a vendor stack with no 800-53 control mapping. AI Guardrails ships with the control inheritance chain and a baseline SSP appendix the ISSM adapts in place. The ATO conversation moved from "can we get here" to "what are the residual risks."
FAQ
Anything else - send us a note directly.
Nuviax is enterprise AI infrastructure for regulated industries. Five products (AI Gateway, Guardrails, Intelligence Fabric, Argus, Clio) let Fortune 500 teams in banking, insurance, healthcare, defense, and manufacturing ship AI their board can defend.
Banking, insurance, healthcare, defense and federal, and manufacturing. The common thread is regulated documentation, compliance requirements, and high-stakes decision workflows. Every product is deployed with the governance controls those industries require.
Nuviax builds execution infrastructure, not chat interfaces. Multi-agent orchestration, human-in-the-loop controls, policy-driven guardrails, full observability, and enterprise-grade security for mission-critical operations. Every recommendation carries a citation and an audit trail.
Nuviax is on a 2026 compliance roadmap for SOC 2 Type II, ISO 27001, HIPAA, and FedRAMP Moderate. None of those certifications are complete yet. Today the platform ships with zero-trust architecture, data encryption at rest (AES-256) and in transit (TLS 1.3), isolated tenant environments, human-in-the-loop approval gates, and full audit trails. See /trust for the current status and target dates.
Yes. Nuviax provides REST APIs, webhooks, and integration patterns for Salesforce, SharePoint, Box, SAP, ServiceNow, Epic, Cerner, and major cloud providers (AWS, Azure, GCP). Custom integrations are supported through the platform's connector framework.
No. Your data is never used to train foundation models or shared with third-party LLM providers. All processing occurs within your isolated tenant environment. Optional fine-tuning is controlled by you and happens only within your private deployment.
Nuviax is enterprise AI infrastructure for regulated industries. Five products (AI Gateway, Guardrails, Intelligence Fabric, Argus, Clio) let Fortune 500 teams in banking, insurance, healthcare, defense, and manufacturing ship AI their board can defend.
Banking, insurance, healthcare, defense and federal, and manufacturing. The common thread is regulated documentation, compliance requirements, and high-stakes decision workflows. Every product is deployed with the governance controls those industries require.
Nuviax builds execution infrastructure, not chat interfaces. Multi-agent orchestration, human-in-the-loop controls, policy-driven guardrails, full observability, and enterprise-grade security for mission-critical operations. Every recommendation carries a citation and an audit trail.
Nuviax is on a 2026 compliance roadmap for SOC 2 Type II, ISO 27001, HIPAA, and FedRAMP Moderate. None of those certifications are complete yet. Today the platform ships with zero-trust architecture, data encryption at rest (AES-256) and in transit (TLS 1.3), isolated tenant environments, human-in-the-loop approval gates, and full audit trails. See /trust for the current status and target dates.
Yes. Nuviax provides REST APIs, webhooks, and integration patterns for Salesforce, SharePoint, Box, SAP, ServiceNow, Epic, Cerner, and major cloud providers (AWS, Azure, GCP). Custom integrations are supported through the platform's connector framework.
No. Your data is never used to train foundation models or shared with third-party LLM providers. All processing occurs within your isolated tenant environment. Optional fine-tuning is controlled by you and happens only within your private deployment.
Get started
An architecture review is 90 minutes, zero slide decks, one written findings doc. Send the founders a note.