AI Semantic Proxy Network

The missing layer
between your agents
and your LLMs.

Per-Agent  ·  Sensitivity-Tiered  ·  Enterprise-Grade

💰 Cost −42%
⚡ Latency 312×
🧭 Portability Any LLM
🔒 IP Security Zero Leak
Request a Meeting See How It Works
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How It Works

Intercept. Embed. Serve. Route.

A lightweight gateway that sits between your AI agents and your LLMs — capturing every query, vectorizing it, and serving validated answers before a single token hits the frontier.

01 🎯

Intercept

Every LLM-bound prompt is captured at the gateway. No changes to your agent code required — one BASE_URL environment variable change.

Drop-in proxy
02 🧠

Vectorize

The prompt is converted to a high-dimensional embedding using your preferred ML model, then matched against the per-agent vector index.

Local embeddings
03 ⚡

Cache Hit

Semantically similar prior answers are served in <10ms at ~1/100th the cost of a fresh LLM call. Data never leaves your perimeter.

<10ms · $0.002/M
04 🔀

Smart Route

Cache misses route to the cheapest capable model — Bedrock, OpenAI, Anthropic, or local — based on query complexity scoring.

67% miss savings
Without Vector Vault
✗
$15/M tokens — every redundant query at full frontier price
✗
2–8 second latency — agent loops feel like batch processing
✗
Single-vendor lock-in — AWS or OpenAI stack, no exit
✗
Data traverses external APIs — on every single call
✗
Invoice surprise — runaway spend discovered too late
With Vector Vault
✓
$0.002/M on cache hits — 42% of queries never reach the frontier
✓
<10ms response — real-time agent workflows
✓
Any LLM, any cloud, on-prem — model-agnostic by design
✓
Local vector embeddings — data stays in your perimeter
✓
Circuit breaker + spend governance — per-agent budget controls
Value Pillars

Four problems.
One proxy network.

Each pillar addresses a distinct enterprise buyer — four independent urgency triggers, four separate budget conversations, one infrastructure layer.

💰

Cost Governance

−42% blended · $0.002/M on cache hits · CFO + FinOps

Forty-two percent blended cost reduction on day one. Success-fee pricing means you pay 10% of measured savings — zero upfront risk. The CFO doesn't need to believe in AI to close this deal. They just need to read the invoice.

⚡

Inference Latency

312× faster · 8ms vs 2,500ms · CTO + Engineering

Agent loops firing 100+ LLM calls at 2–8 seconds each create minutes-long workflows. Vector Vault makes them real-time. This is a product quality decision, not just a performance metric. Zero rearchitecting — one environment variable.

🧭

AI Sovereignty

Any LLM · Any cloud · On-prem option · CTO + Board

Route to Claude today, GPT-4o tomorrow, a fine-tuned local model next year — without touching agent code. Deploy on AWS, Azure, GCP, or on-prem simultaneously. Vendors know they're replaceable. You negotiate from strength, not dependency.

🔒

IP & Data Protection

Zero external transmission · GDPR · HIPAA · SOC 2 · CISO + GC

Local vector embeddings mean proprietary decision logic, pricing models, and customer PII never reach external LLM APIs. Every cache hit is a query that didn't leak. Architecture-level compliance — not a contractual promise.

The Team

Built by experts
who have built it before.

Twenty years of shared history. One prior co-founded exit. The same intercept-cache-serve architecture — now applied to the AI token economy.

Tony Wenzel
Co-Founder & CEO
SVP Sales, STRATACACHE (IoT & retail video PaaS) — built AT&T's billion-dollar white-label channel from greenfield. Closed McDonald's, major banking & QSR enterprise accounts.
CRO, AgilePoint (low-code digital transformation) · CEO, DaNoraAI (AI content) · President, Brandometry (NYSE ARCA ETF co-founder) — career built at the intersection of enterprise software, AI, and capital markets.
Credentials — AWS Solutions Architect · AI/ML · FinOps · MIT MS Innovation · Harvard CS50 AI · MBA Finance Notre Dame.
linkedin.com/in/tonywenzel →
Mark Ackerman
Co-Founder & CTO
SuperLumin Co-Founder — 15 years building semantic proxy cache infrastructure, deployed at Adobe & Luxottica. Acquired by STRATACACHE.
Juniper Networks — Director of Engineering, security cloud ops & CI/CD. Cisco Systems — contributed to $92M VOD acquisition.
Patented architect — multiple patents in secure proxy acceleration, transparent domain interception, and VPN cache.
linkedin.com/in/mdackerman →
Brent Christensen
Co-Founder & VP Engineering
SuperLumin Co-Founder — SVP Engineering alongside Mark. NitroCast platform delivered 100Gbps+ per cache instance for enterprise service providers.
Juniper Networks — Senior Director of Engineering, routing and connected-security products at scale.
Data sovereignty specialist — designed cache systems where content containment was a hard requirement. Directly translates to VV's IP Security pillar.
linkedin.com/in/brentchristensen1000 →
The precedent

Mark and Brent co-founded SuperLumin Networks in 2007 — a semantic proxy cache for enterprise content delivery, deployed at Adobe and Luxottica and acquired by STRATACACHE. The intercept-cache-serve architecture is the direct technical predecessor to Vector Vault. Same model. New token economy. Market 100× larger.

15yr Prior Build
2 Co-Founders
1 Prior Exit
Contact

Let's talk.

We'd value the conversation.

Vector Vault is pre-revenue and actively raising. If you're building enterprise AI agent workflows, investing in AI infrastructure, or simply curious about what we're seeing in the field — reach out.

✉️
[email protected] Tony Wenzel · Co-Founder & CEO
📞
212-722-3222 New York, NY
🔗
linkedin.com/in/tonywenzel Connect on LinkedIn
🌐
netflip.io Netflip · Vector Vault
🔐

Investor & Architecture Access

Architecture diagrams, financial projections, valuation bridge, and Series A milestones are available to credentialed visitors.

Incorrect code. Contact [email protected] for access.

Don’t have a code? Switch to “Request access” above.

Incorrect access code. Contact [email protected] for access.

Access code provided upon request · [email protected]

System Architecture

Vector Vault Semantic Proxy Network · Per-Agent Topology
AI Agents (any framework)
Claude Agent
GPT Agent
Bedrock Agent
LangChain Agent
Custom Agent
↓
Vector Vault Semantic Proxy Network
Semantic Embedding
Per-Agent Vector Index
Sensitivity Tiering 🔒
Known Good Answer Library
Smart Router
CACHE HIT · 42%
<10ms · $0.002/M · Data stays local
CACHE MISS · 58%
Smart route → cheapest capable model
↓
LLM Providers (cache misses only)
AWS Bedrock
OpenAI
Anthropic Claude
Azure / Vertex
Local / Open-Weight
Sensitivity Tiering: Each agent node carries its own cache policy — data classification level, retention window, permitted LLM routes, and perimeter controls. A CFO agent handling board projections operates under a fundamentally different policy than a customer service agent handling order status. The network manages this — not your dev team.

Key Metrics

Enterprise Cohort · FY2025 Q4 · n=47
42% Semantic Cache Hit Rate
VC target: 30–50% ✓
312× Latency improvement
8ms vs 2,500ms frontier
−42% Blended cost reduction
Day 1, no tuning
67% Model Arbitrage Yield
Additional savings on cache misses
0.87 Peak SDI score
AT&T cohort · lock-in threshold: 0.70
1,840t CO₂e avoided annually
per enterprise cohort

18-Month Milestones

Seed Round $5M · $8M Pre-Money · SAFE / Convertible Note
Milestone Month ARR Target Capital Deployed
25 paying pilots · AWS Marketplace listingM3$150K$680K
3 logos · SOC 2 Type II beginsM6$500K$1.4M
SOC 2 certified · First regulated verticalM9$1.5M$2.8M
GDPR / HIPAA posture complete · MCP GAM12$2.5M$3.9M
First CISO-led deals · OEM conversationsM15$3.5M$4.5M
Series A trigger · OEM deal targetM18$5M$5.0M
Series A trigger: $2M ARR or 3 signed enterprise MSAs — whichever comes first, targeting Month 18. Series A pricing: $20–25M pre-money. Series B: $150–200M pre-money at $30M ARR. Strategic exit: $800M–$1.2B at $100M+ ARR. Logical acquirers: AWS, Cisco, Salesforce, AT&T.