CoDynamicsLab/LATCH-Qwen2.5-14B
Text Generation • Updated
AI & ML interests
sdocument-question-answering, text-generation, long-context, information-retrieval, enterprise-ai
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CoDynamics Lab Corporation
Eliminating the Long-Context Tax in enterprise AI.
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.
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.
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.
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. |
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.
The LATCH compilation method and neural representation format are proprietary to CoDynamics Lab Corporation.
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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