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| title: CoDynamics Lab Corporation | |
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| <img src="https://www.codynamicslab.com/logo.png" alt="CoDynamics Lab" width="180" /> | |
| <h1>CoDynamics Lab Corporation</h1> | |
| <p><strong>Eliminating the Long-Context Tax in enterprise AI.</strong></p> | |
| <a href="https://www.codynamicslab.com">🌐 Website</a> | | |
| <a href="mailto:mike@codynamicslab.com">✉️ Contact</a> | | |
| <a href="https://huggingface.co/CoDynamicsLab/LATCH-Qwen2.5-14B">🔒 Request Model Access</a> | |
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| ## What We Build | |
| Standard LLMs impose a compounding penalty as context grows — linear prefill cost, high latency, and expensive re-ingestion every single query. We built **LATCH** (Latent Activation Token Cache Handoff) to eliminate this entirely. | |
| LATCH is a proprietary, model-agnostic inference layer that compiles documents once into a persistent latent representation and hands it directly into the decode path — achieving **constant-time performance regardless of document length**. | |
| The result: responses that begin in under 120 milliseconds, infrastructure costs that collapse, and cross-document reasoning that scales. | |
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| ## LATCH Performance — Verified Results | |
| | Model Family | Status | Avg. TTFT Speedup | E2E Speedup | Multi-Doc Pass Rate | | |
| |---|---|---|---|---| | |
| | **Qwen 2.5 14B** | ✅ Production Ready | **42.9×** | **5.2×** | **91.7% (11/12)** | | |
| | **Mistral Nemo 12B** | ✅ Verified | **104.0×** | **19.7×** | **83.3% (10/12)** | | |
| | **Llama 3.1 8B** | ✅ Verified | **116.3×** | **12.9×** | **83.3% (10/12)** | | |
| | **DeepSeek R1 Distill** | ✅ Verified | **43.0×** | **3.7×** | **75.0% (9/12)** | | |
| > **Headline:** Time-To-First-Token on Qwen 2.5 14B reduced from **23.1s → 0.11s** (210× improvement on cold load). | |
| > **Persistent cache reload:** **0.0016s** — a 246× speedup over standard re-ingestion. | |
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| ## The Economics | |
| Every query against an uncompiled document re-pays the full prefill cost. LATCH breaks this model. | |
| - **Break-even at 0.0051 queries** — the cost of compilation is recovered in the first fraction of a single query | |
| - **~30 GB VRAM** to run Qwen 2.5 14B (vs ~61 GB baseline) — more models per node | |
| - Strongest amortization case: **28.5× end-to-end cost reduction** at scale | |
| For teams running high-volume document analysis — M&A due diligence, legal review, compliance monitoring, financial research — this is a structural cost advantage, not a marginal one. | |
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| ## Built For | |
| | Use Case | What LATCH Changes | | |
| |---|---| | |
| | **M&A / Private Equity Due Diligence** | Compile the data room once. Query hundreds of documents in seconds per session. | | |
| | **Legal Document Review** | Cross-contract reasoning at constant latency across large clause sets. | | |
| | **Compliance & Regulatory Analysis** | Persistent document memory means re-runs are nearly free. | | |
| | **Financial Research** | Multi-document synthesis with sub-second response on dense filings. | | |
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| ## Deployment Options | |
| **🔒 Self-Hosted License — $79** | |
| Locked model weights + inference runtime for your own A100/H100 infrastructure. Data never leaves your environment. License key delivery via [Gumroad](#) after purchase. | |
| **☁️ Managed Instance — from $5.00 A100 / $10.00 H100 /hr** | |
| Spin up a LATCH-ready GPU instance directly. Includes batch JSON query interface — upload your document set, submit a structured prompt list, export results. Billed by wall-clock second. Coming soon. | |
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| The LATCH compilation method and neural representation format are proprietary to CoDynamics Lab Corporation. | |
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| ## Licensing | |
| CoDynamics Lab Corporation operates under a **Proprietary & Commercial Licensing** model. | |
| - **Gated Access:** Model weights and inference adapters are provided via approved repository requests only | |
| - **Commercial Use:** Production or commercial deployment requires a separate license agreement | |
| - **Research Inquiries:** Academic or research access requests considered case-by-case | |
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| <div align="center"> | |
| <strong>Commercial Inquiries & Gated Access Requests</strong><br/> | |
| <a href="mailto:mike@codynamicslab.com">mike@codynamicslab.com</a> | | |
| <a href="https://www.codynamicslab.com">www.codynamicslab.com</a> | |
| </div> | |