AI agent commerce is running probabilistic trust inference on GPU pipelines that consume megawatts solving problems that should take nanoseconds. AEGIS is the cryptographic protocol that ends that waste — permanently, architecturally, at scale.
The world's largest concentration of AI compute infrastructure sits in Loudoun County, Virginia. The power grid wasn't built for what AI demands — and nobody has a plan that works. Until now.
Already exceeds residential consumption. Projected to reach 20–30 GW by 2030 driven by AI workloads — infrastructure that physically cannot be built fast enough.
Loudoun residents are subsidizing AI infrastructure expansion through their electric bills. One county. The cost of the agentic revolution — passed to homeowners.
New transmission lines, substations, generation capacity. Ratepayer-funded. All to feed an AI demand curve that a protocol fix could flatten at the source.
First restriction in Data Center Alley's history. The political capital that built the world's largest compute hub is now spent defending it from the people who live there.
When an AI agent needs to verify a business entity — "Is this merchant who they claim to be?" — today's architecture runs a full probabilistic inference pipeline. Transformer lookups. Embedding comparisons. Tensor core operations. 500 milliseconds. Watts of power. For a question with a binary answer.
This is the equivalent of calling a forensic accountant to verify someone's driver's license. The answer is already signed, stamped, and issued by an authority. You just need a protocol that checks the signature — not a probabilistic model that guesses whether the license looks real. That's the architectural error AEGIS corrects.
AEGIS is the world's first Root Certificate Authority for AI agent commerce. It doesn't improve the existing pipeline — it replaces the need for it entirely. Entity trust becomes a signed cryptographic fact, not a probabilistic inference.
Eight 512-bit sections (S0–S7), each aligned to a CPU cache line. Verified in a single AVX-512 SIMD pass. Dual-signature cryptographic scheme: Ed25519 for persistent entity identity, FN-DSA (FIPS 206) post-quantum signatures for forward secrecy. Section 0 is the kill gate — binary flags, industry codes, and operating hours that eliminate ~95% of entities from consideration in one instruction cycle. Subsequent sections evaluate only survivors. The entire 35M-entity US index fits in ~17 GB — a single thumb drive.
Section 0 is the kill gate. NAICS industry code, 64-bit binary switch word (kill/stale/licensed/insured/bonded/OFAC), and 168-bit operating hours bitmap — one SIMD pass eliminates ~95% of the index. Section 1 identifies and locates survivors via entity hash and H3 geospatial index. Section 2 ranks by trust score and trajectory. Section 3 matches to transaction intent — payment methods, commerce capability, insurance requirements. Sections 6–7 (cryptographic verification) execute only on the entity selected for commerce. Average per-entity cost: dominated by Section 0 alone.
AEGIS is a registry that agents query — not a proxy that businesses route through. 35M+ US entities scored from public data. No opt-in required. Protocol-neutral: UCP, ACP, A2A, MCP.
Businesses claim identity with a single static DNS record — same pattern as SPF/DKIM. Zero infrastructure changes. Unlocks credential submission for enhanced scoring.
Agents query peta.bot for signed attestation on any entity in the index. 20–50ms round-trip. Still 10–100× faster than GPU inference, at a fraction of the power cost.
Hyperscalers pull the full binary index (~17 GB) for local sub-10ns lookups. AXFR/IXFR sync protocol. Zero network calls at query time.
Proforma analysis at projected agentic commerce scale. Conservative estimates based on current AI infrastructure benchmarks and publicly available grid data.
At projected agentic commerce scale. Conservative modeling. Real infrastructure costs. What stays in the ground instead of being burned.
| Metric | Scale Assumption | Current (GPU Inference) | AEGIS Protocol | Annual Delta |
|---|---|---|---|---|
| Trust Queries / Day | Conservative agentic commerce projection | 100B | 100B | — |
| Avg Latency / Query | Measured inference pipeline | 500ms | <10ns | 50M× |
| GPU Cluster Required | H100 equiv. @ 2 queries/sec | 578,700 | ~0 | 578,700 GPUs |
| Power Draw (Active) | 700W per H100 equiv. | 405 GW | ~0.001 GW | 405 GW |
| Annual Energy Consumption | @ 8,760 hrs/yr | 2,024 TWh | <1 TWh | 2,023 TWh |
| Trust Query Compute Cost | @ $0.05/kWh — entity verification workload only | $101B | ~$0 | $101B/yr |
| GPU CapEx (5yr refresh) | @ $35K per H100 equiv. | $17.4T | ~$0 | $17.4T |
| Loudoun GW Demand Reduction | Trust queries as % of AI workload | +6–8 GW | Negligible | 6–8 GW |
| Full US Index Size | 35M entities × 512 bytes | Distributed GPU clusters | ~17 GB | Fits on a thumb drive |
| 5-Year Total Value | Power + CapEx + infrastructure avoided | $87T+ | Protocol fee | $87T+ saved |
Numbers modeled on current H100 GPU benchmarks, Dominion Energy published rate data, and publicly available Loudoun County infrastructure reporting. Trust queries modeled as a conservative 15% of total AI agent workload at projected 2030 agentic commerce scale. AEGIS payload architecture: 4096-bit, 8-section (S0–S7), cache-line-aligned binary records with dual Ed25519 + FN-DSA (FIPS 206) post-quantum signatures. 97%+ of trust decisions complete from binary payload alone with zero GPU inference. Full methodology available under NDA.
AEGIS is not a research project. It is not vaporware. The architecture is fully specified, the cryptographic framework is proven, and the provisional patent is filed (USPTO App. 64/014,140). Implementation is underway, but progress is constrained by the realities of bootstrapping critical infrastructure without institutional backing. Every day of underfunding is another day the grid gets more constrained and the problem compounds. The question is whether you want to be part of the solution before it ships without you.
Request Confidential Briefing →
Technical white paper available under NDA // 703.844.3400 //
Structured grant & development funding inquiries welcome — equity investment inquiries not considered