Excipio is a private memory layer that sits between enterprise AI agents and the models they call. Redundant queries resolve inside your perimeter, so zero bytes leave your network on a cache hit. Governance by architecture, not by contract. A modeled 42% reduction in LLM API spend follows, with zero code changes.
Pricing aligned to value — Excipio combines an annual platform commitment with a consumption component tied to measured savings, so cost scales with value delivered. Contact us for specifics.
A lightweight gateway that sits between your AI agents and your LLMs — intercepting every query and caching semantically similar answers, passing cache misses through to your configured model.
Every LLM-bound agent query is captured at the gateway before it reaches the frontier. No changes to your agent code — one BASE_URL environment variable.
Drop-in proxyThe agent query is converted to a high-dimensional embedding and matched against the per-agent vector index — locally, inside your perimeter. Zero external transmission.
Local embeddingsSemantically similar prior answers are served in under 10ms at roughly 1/100th the cost of a fresh LLM call. The agent gets its answer. No token is spent. Data never leaves your perimeter.
<10ms · $0.002/MCache misses pass through to your configured model — Bedrock, OpenAI, Anthropic, or local. Agents never know the difference.
67% miss savingsEvery 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 belongs to the enterprise — not to Excipio, not to any LLM provider.
Institutional memory · Compounds daily · Enterprise-ownedAgentic systems waste a large share of their compute rediscovering context they should already know. The backend has no memory. Every call starts cold. Excipio was built to eliminate this tax.
SAP spent over €1 billion acquiring AI memory infrastructure to solve the same class of problem at enterprise scale. That is not a startup problem. That is sovereign-scale validation.
Palo Alto acquired Portkey at $120–140M — double their February 2026 valuation in 90 days. Security-first gateways get acquired. Excipio operates one level below, in the cost, caching, and sovereignty primitive where the token economics actually live.
Cerebras IPO'd at $95 billion on inference speed alone. Cerebras makes inference faster when it fires. Excipio eliminates inference before it fires. Different layers. Same macro tailwind.
Excipio is that layer — plus semantic caching, perimeter security, and knowledge graph construction. Three dimensions he did not mention. A modeled 42% reduction in LLM API spend on $300M is $126M back on the P&L.
Each pillar addresses a distinct enterprise buyer — four independent urgency triggers, four separate budget conversations, one infrastructure layer.
A modeled 42% reduction in LLM API spend on day one — from agent query caching alone. Pricing combines an annual platform commitment with a consumption component tied to measured savings, so cost scales with value delivered. The CFO does not need to believe in AI to close this deal — it shows up in the invoice.
Agent reasoning loops firing 100+ LLM calls at roughly 2,500ms each create minutes-long workflows. Excipio makes them real-time. This is a product quality decision, not just a performance metric. Zero rearchitecting — one environment variable.
Route agents 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 are replaceable. You negotiate from strength, not dependency.
Local vector embeddings mean agent query intent, proprietary decision logic, pricing models, and customer PII never reach external LLM APIs. Every cache hit is a query that did not leak. Architecture-level compliance — not a contractual promise.
Every cache hit builds a private intelligence asset — a knowledge graph that grows more accurate and more valuable with every agent interaction. It belongs to the enterprise, not to Excipio and not to any LLM provider. The more agent traffic flows through Excipio, the stronger the moat becomes. This is the difference between renting intelligence from a frontier model and owning it.
The governed, enterprise form of AI agent memory. A persistent memory that stays inside your perimeter, where confidentiality, privilege, and provenance are properties of the architecture, not settings applied on top of it. These are the frameworks behind it, published in The Enterprise Token Economy.
AI agent memory lets agents reuse what they have already learned. Sovereign memory architecture is the enterprise form that keeps governed memory inside the perimeter, invariant by design. On a cache hit, zero bytes leave. Read the full reference.
The recurring cost of making an AI system relearn what it already knew.
Institutional intelligence transmitted to external LLMs, and the risk that carries.
The ratio of necessary spend to total spend. How much of your token budget buys real work.
Controlling where your institutional intelligence compounds, not merely where data lives.
Compliance enforced at the infrastructure layer, not through policy documents.
The founding team worked together at SuperLumin and STRATACACHE. Twenty years of shared history and one prior co-founded exit, now applied to the AI agent token economy.
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 · CEO, DaNoraAI · President, Brandometry — career built at the intersection of enterprise software, AI, and capital markets.
Credentials — AWS Solutions Architect · AI/ML · FinOps · MIT Design Thinking.
linkedin.com/in/tonywenzel →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 →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.
linkedin.com/in/brentchristensen1000 →Mark and Brent co-founded SuperLumin Networks — a semantic proxy cache deployed at Adobe and Luxottica and acquired by STRATACACHE. Excipio is the fifth generation of the same carrier-class C++ intercept-cache-redirect architecture the team has been building together for over 20 years.
Nortel → Cisco → Juniper → SuperLumin → STRATACACHE: the carrier-class engineering lineage Mark and Brent built
Excipio is pre-revenue and actively raising. If you are building enterprise AI agent workflows, investing in AI infrastructure, or simply curious about what we are seeing in the field — reach out directly.
info@excipio.aiArchitecture diagrams, financial projections, valuation bridge, and Series A milestones are available to credentialed visitors.
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