Update README.md

README.md

@@ -88,6 +88,32 @@ Fine-tuned music assistant helping users learn instruments, understand music the
 
 ---
 
+### 🕸️ Matrix Lattice — Frontier Agentic & Multimodal
+*Targeting inference providers — API access only*
+
+Matrix.Corp's flagship frontier family. Massive MoE models built for deployment on inference provider infrastructure (Novita, Hyperbolic, Together, Fireworks, etc.) and accessed via OpenAI-compatible API. Agentic-first, natively multimodal, 1M+ context window, 17 custom modules.
+
+| Model | Parameters | Active Params | Status | Access |
+|---|---|---|---|---|
+| Lattice-120B | 120B | ~22B | 🩵 Long-Term Roadmap | 🟣 Closed Source |
+| Lattice-430B | 430B | ~38B | 🩵 Long-Term Roadmap | 🟣 Closed Source |
+| Lattice-671B | 671B | ~47B | 🩵 Long-Term Roadmap | 🟣 Closed Source |
+
+**Key features:**
+- 🕸️ Hierarchical MoE — 64/128/256 experts, top-4 routing, domain-cluster aware
+- 🧠 17 custom modules — EQ Engine V2, Lattice Router, Confidence Head, MACL, HCCE, Safety Reasoning, and more
+- 👁️ Native multimodal — vision (ViT, 4K tiling), audio (Whisper lineage), documents, video frames
+- 🤖 Agentic-first — native tool calling, multi-agent coordination, long-horizon task planning
+- 📏 1M+ context — MLA attention + hierarchical context compression make it practical
+- ⚡ Speculative decoding — paired draft models for 3–5× inference speedup
+- 🔌 OpenAI-compatible API — with Lattice extensions (confidence scores, module trace, hallucination risk)
+
+**Timeline:** Architecture specification complete. This is a long-term project requiring significant compute infrastructure. No training ETA at this time.
+
+**Access:** Closed source — will be available exclusively via inference provider APIs when released. Weights will not be publicly distributed.
+
+---
+
 ## Status Legend
 
 | Status | Meaning |
@@ -95,6 +121,8 @@ Fine-tuned music assistant helping users learn instruments, understand music the
 | 🟢 Released | Trained weights available, benchmarks published |
 | 🟡 Preview | Architecture and code published, training in progress |
 | 🔴 Planned | Design complete, build not yet started |
+| 🩵 Long-Term Roadmap | Architecture complete, significant compute required, no ETA |
+| 🟣 Closed Source | Weights will not be publicly released |
 
 ---
 
@@ -107,6 +135,7 @@ We build for **accessible, affordable hardware** — not just cloud GPUs:
 | Zenith | Tenstorrent p300a | High-performance AI at a fraction of Nvidia cost |
 | Vortex | MacBook + 4060 laptop | Science AI for researchers and students anywhere |
 | Touch Grass | Any hardware | Music assistance should be universally accessible |
+| Lattice | Inference provider clusters (H100 / p300a) | Frontier capability via API — no local hardware needed |
 
 ---
 
@@ -125,6 +154,7 @@ We build for **accessible, affordable hardware** — not just cloud GPUs:
 - [Zenith V1](https://huggingface.co/collections/Matrix-Corp/zenith-v1) — All Zenith series models
 - [Vortex V1](https://huggingface.co/collections/Matrix-Corp/vortex-v1) — All Vortex series models
 - [Touch Grass](https://huggingface.co/collections/Matrix-Corp/touch-grass) — All Touch Grass series models
+- Lattice *(collection coming when models are published)*
 
 ---