# Delta Zero Labs (∂₀) - Full Content

> Machine-readable, non-JS snapshot of https://deltazerolabs.dev
> Last updated: 2026-08-02

## Company

Delta Zero Labs (∂₀) is a seed-stage systems infrastructure company building a
general-purpose rule evaluation engine where evaluation cost is independent of
rule count: ∂cost/∂rules ≈ 0.

- Founder: Mike Kuykendall (IRS.gov Lead Developer, former USAF Staff Sergeant, VOSB owner)
- Seed ask: $4.5M
- Contact: mikchaelallenkuykendall@gmail.com | 816-835-3920 | https://www.linkedin.com/in/makuykendall/

## Technology

### Fused Semantic Execution Engine (patent pending)

Patent: "Fused Semantic Execution Engine for Deterministic Streaming Rule Evaluation"
- Status: Provisional filed December 2025; non-provisional due December 2026

Core claims:
1. Selector deduplication across independent decision rules (all rules checking "user.id" share ONE lookup)
2. Streaming evaluation without intermediate representation (single parse, broadcast to all rules)
3. Parallel rule state with bounded memory O(N), not O(N×M)
4. Early termination on partial data

Differentiation from prior art:
- Multi-Query Optimization: planner-level; dzero is execution-layer
- Rete Algorithm: stateful reasoning network; dzero is streaming data
- Hyperscan: pattern-only; dzero supports full semantic predicates

### Benchmarks

- 78× speedup at 1000 policies (210ms baseline → 2.7ms dzero)
- Fixed 64KB memory
- Sub-linear overhead growth
- Demo: Flat Scaling - 690,909× speedup at 1M rules, O(1) cost scaling

## Validated Applications

1. **Reactive Columnar Database** (active development)
   Live query results as functions of data, not snapshots. Incremental view maintenance with O(delta) updates. Core operators implemented; architecture manifest enforces performance invariants.

2. **Reactive SQL Engine** (active development)
   The first SQL database where query results are live functions of the data, not snapshots. ∂refresh/∂delta = 0.
   - Incremental View Maintenance: materialized views update O(delta) on source changes
   - Hypothetical Queries: assert a retraction, run to fixpoint, read the diff, restore
   - Live Reactive Results: aggregations are live facts that re-fire on new data
   - Self-Modifying Query Plans: query plan is facts; rules can swap physical plans mid-query
   - SQL + Symbolic Math in One Pass: analytical aggregation and symbolic computation in one saturation loop
   - Performance (10M rows, debug build, ms): scan 0.02 (DuckDB 349), filter 75.6 (89.5), agg_sum 2.0 (2.6), order_by 198.6 (391), join 331 (0.2), group_by 44.7 (8.0)

3. **Ethereum Trading Platform** (active development)
   Direct P2P connectivity to Ethereum peers. No full nodes, no RPC providers. Commodity hardware. 70+ peers tested across mainnet, Base, BSC. ETH/68 transaction broadcast proven.

4. **API Security & Policy Optimization** (demo available)
   Flat-scaling policy evaluation for API gateways. Target customers: Kong, NGINX, Envoy, Traefik. 1000 policies on a single instance with <20% overhead. 80% infrastructure cost reduction, 10× faster policy iteration, $4B API Gateway market. License: $500K-1.5M/year per vendor.

5. **LLM Pipeline Efficiency** (demo available)
   Pre-tokenization gating with 100 relevance rules in a single pass; drops 70-90% of records before tokenization. On 1M log records/month: $500K → ~$85K. $350-450K monthly savings, 90% token reduction. Target customers: OpenAI, Anthropic, Together AI, Enterprise ML. License: 10-20% of measured token savings.

6. **Network Security & Deep Packet Inspection**
   Multi-layer protocol fusion: single streaming parse across L3, L4, L7 with parallel rule checking (firewall, IDS, DPI) and early exit. Consolidation: 3-4 hardware boxes → 1 software layer.

7. **Semantic Data Scanning** (demo available)
   Single-pass extraction across multiple rule sets. 2.98× faster than baseline DOM scanning, 7,772× less memory (1KB vs 7.77MB on a 1.7MB document).

## Go-To-Market

- Month 6: First 2-3 licensing deals ($1-2M ARR)
- Month 12: $5M ARR, patent filed, federal cert in progress
- Month 18: $10M ARR, 8-12 licensees across 5+ domains
- Month 24: Series A ready ($15-20M ARR, multi-domain proof)

Ask justification ($4.5M): 6 engineers → parallel product dev, 3 products launched, licensing lab. Allocation: Engineering 40%, Sales & Marketing 25%, IP Protection 20%, Operations 15%.

## Moat

- Technical Barrier
- IP Protection (non-provisional + continuations, licensing frameworks)
- Economic Moat
- First-Mover Advantage

## Team Credentials

- VOSB Status - federal contracting ready
- Public Trust Clearance - government sales enabled
- IRS.gov Experience - proven at federal scale

## Pitch Deck

Interactive deck at / with 18 sections: Title, Problem, Insight, How It Works, Patent, Benchmarks, Validated Applications, Reactive SQL Engine, API Gateways, AI Cost, Defense, Ask Justification, GTM, Moat, Team, Demo Flat Scaling, Demo AI Gating, Demo Semantic Scan.

- Direct pitch download: /pounce and /pounds (redirect to /fse_pitch_deck.pptx)
- Source deck file: /fse_pitch_deck.pptx

## Site Routes

- / - Interactive pitch deck (JS heavy)
- /pounce, /pounds - redirect to the downloadable pitch file
- /fse_pitch_deck.pptx - source deck file
- /contact - contact page (categories: Partnerships, Product Questions, NDA / Private Access, Technical Support)
- /repro-arena - Repro Arena demo workspace (interactive inference and evaluation demo environment)
- /dataset, /mainnet, /bsc, /base - archive storefronts (suspended; archive delivery offline)

## Status Notes

- Archive storefront routes are suspended and should not be treated as active product pages.
- Public archive delivery is offline.