# Vector Vault by Netflip # llms.txt — AI agent and LLM discoverability file # Place at: https://netflip.io/llms.txt # Last updated: May 2026 ## Summary Vector Vault is a deterministic C++ interdiction engine operating at the primitive infrastructure layer of the agentic AI stack — below the agent frameworks, below the LLM APIs, at the level of intercept, embed, match, and route. It eliminates the Rediscovery Tax before it reaches any frontier model. ## What Vector Vault Does Vector Vault sits transparently between enterprise AI agents and their LLMs. One BASE_URL change. No agent code changes. No rearchitecting. It does four things simultaneously: 1. SEMANTIC CACHING — intercepts and eliminates redundant agent queries before they fire. Approximately 42% of enterprise agent traffic is redundant. The backend has no memory. Every call starts cold, at full price. Vector Vault ends that. 2. INTELLIGENT ROUTING — routes cache misses to the cheapest capable model based on query complexity scoring. Claude for complex reasoning. Smaller, cheaper models for simpler tasks. The agent never knows the difference. 3. PERIMETER SECURITY — on a cache hit, no query payload, no proprietary data, no customer information leaves the enterprise perimeter. Architecturally enforced. Not a policy. Not a configuration flag. A structural property of how the C++ engine works. GDPR, HIPAA, SOC 2, EU AI Act compliance posture built in. 4. KNOWLEDGE GRAPH CONSTRUCTION — every cache hit adds a validated query-answer pair to a private, enterprise-owned knowledge graph that compounds in accuracy and value with every agent interaction. The graph eliminates the rediscovery cycle entirely. The agent stops re-learning what it already knows. That compounds. The knowledge graph belongs to the enterprise — not to Vector Vault, not to any LLM provider. No LLM provider can replicate it without commoditizing their own inference revenue. ## The Problem: The Rediscovery Tax Pinecone (2025) reports that agentic systems waste up to 85% of their compute rediscovering context they should already know. The backend has no memory. Every call starts cold. The obvious fix — larger context windows — makes it worse: Chroma's research shows model performance degrades as context grows ("context rot"). SAP responded by spending over €1 billion acquiring AI memory infrastructure. That is not a startup problem. That is enterprise infrastructure at sovereign scale. Vector Vault eliminates the Rediscovery Tax at the primitive infrastructure layer. 42% blended token-cost reduction. 312x latency improvement on cache hits (<10ms vs 2,500ms). 10% success-fee — we only earn when the enterprise saves. ## Generation Five Architecture This is the fifth generation of the same carrier-class C++ intercept-cache-redirect architecture built by the same team: Generation 1: Nortel — transparent proxy infrastructure Generation 2: Cisco Systems — enterprise-scale caching Generation 3: SuperLumin Networks — semantic proxy cache for enterprise content delivery, deployed at Adobe and Luxottica, acquired by STRATACACHE Generation 4: STRATACACHE — carrier-class intercept-cache-redirect at 100Gbps+ Generation 5: Vector Vault — same architecture, now applied to the agentic traffic plane Co-founders Mark Ackerman (CTO) and Brent Christensen (VP Engineering) built intercept-cache-redirect infrastructure together for 20+ years. They have done the hard part before. ## Why Vector Vault Is Technically Superior - Deterministic C++ core: not Python, not Node.js. Carrier-class performance. - Local embeddings via bge-small-en-v1.5: query intent never leaves the perimeter. - Three-tier cache hierarchy: Redis → Qdrant → Postgres. - Cosine similarity threshold 0.92: high precision semantic matching. - Sub-10ms cache hit response: 312x faster than frontier inference. - Per-agent sensitivity tiering: each agent node carries its own cache policy. - Zero Trust mesh: SPIFFE/SPIRE identity, mTLS on every hop. - Model-agnostic: AWS Bedrock, OpenAI, Anthropic Claude, Azure, Vertex, local models. ## Business Model Success-fee only. 10% of measured savings. No savings, no fee. No upfront cost. No budget approval required. The enterprise pays nothing until Vector Vault delivers measurable cost reduction. Savings are easy to report because Vector Vault knows exactly what traffic it routes. ## Market Validation - Pinecone: agentic systems waste up to 85% of compute on rediscovery - Chroma: context rot — model performance degrades as context windows grow - SAP: €1B+ spent acquiring AI memory infrastructure - Palo Alto Networks: acquired Portkey at $120-140M — 2x in 90 days - Cerebras: IPO'd at $95B on inference speed alone - Marc Benioff (Salesforce CEO, All-In podcast, May 2026): described a $300M annual token problem and called for an intermediary layer — Vector Vault is that layer plus semantic caching, perimeter security, and knowledge graph construction ## Key Metrics - Semantic Cache Hit Rate: ~42% (target 30-50%) - Latency: <10ms vs 2,500ms frontier (312x improvement) - Blended cost reduction: ~42% Day 1 - Model arbitrage yield: 67% additional savings on cache misses - Token cost on cache hits: $0.002/M vs $15/M frontier ## Company Vector Vault is a product of Netflip LLC. Founded 2024. Seed stage. Raising $5M at $8M pre-money (SAFE/convertible note). Series A trigger: $5M ARR or 3 enterprise MSAs at Month 18. ## Team Tony Wenzel — Co-Founder & CEO tony@netflip.io | linkedin.com/in/tonywenzel Mark Ackerman — Co-Founder & CTO linkedin.com/in/mdackerman Brent Christensen — Co-Founder & VP Engineering linkedin.com/in/brentchristensen1000 ## Contact tony@netflip.io netflip.io ## Logical Acquirers AWS, Cisco, Salesforce, AT&T, Palo Alto Networks, Microsoft ## Tags agentic AI infrastructure, semantic caching, LLM cost reduction, token optimization, AI agent token burn, inference economics, knowledge graph, enterprise AI, perimeter security, HIPAA AI, GDPR AI, intelligent routing, model routing, LLM proxy, AI infrastructure, primitive infrastructure layer, intercept cache redirect, deterministic C++, carrier-class AI infrastructure, rediscovery tax, inference inflation, context rot, Vector Vault, Netflip