Sovereign AI B2B Marketing Copy Update

README.md

@@ -5,35 +5,86 @@ tags:
 - vllm
 - insurance
 - reinsurance
+- sovereign-ai
+- llama-3
 library_name: transformers
 pipeline_tag: text-generation
 ---
 
-# Reinsure-8B (vLLM Compatible)
+<div align="center">
+  <h1>Reinsure-8B</h1>
+  <h3>The world's first insurance-native language model</h3>
+</div>
 
-This is a fine-tuned version of Meta's Llama 3.1 8B Instruct model, specifically trained on over 14,000 synthetic and real-world instruction pairs covering Reinsurance and Insurance domains (Catastrophe Modeling, Treaty Structures, Facultative documents, and regulatory compliance).
+<p align="center">
+  <a href="https://www.reinsured.ai/reinsure-8b">View Website</a> | 
+  <a href="https://www.reinsured.ai/contact">Request API Access</a> | 
+  <a href="https://www.reinsured.ai/platform">Platform Architecture</a>
+</p>
 
-## Format 
-This model has been successfully dequantized and exported to **16-bit Safetensors** format. It is fully compatible with any standard cloud inference engine, including **vLLM** and HuggingFace Text Generation Inference (TGI).
+---
+
+## The world's first insurance-native language model
+
+**Reinsure-8B** is a small language model built exclusively for the reinsurance and insurance industry. Fine-tuned from Llama 3.1 on reinsurance workflows, treaty structures, bordereaux formats, and London Market language.
+
+Deploy it sovereign inside your own infrastructure, or call it as an inference API. Either way, you get a model that speaks insurance — without prompt engineering, without hallucinated policy terms.
+
+### What is Organisational Sovereign AI?
+Sovereign AI means the model runs inside your control. Your weights, your infrastructure, your data. No dependency on a third-party API that can change pricing, deprecate versions, or inspect your query traffic.
+
+For regulated insurance businesses — Lloyd's syndicates, global reinsurers, captives, MGAs — sovereignty is not a preference. It is a compliance requirement. Sensitive submissions, treaty terms, and client data cannot flow to shared cloud endpoints.
+
+Reinsure-8B is purpose-sized for sovereign deployment. At 8 billion parameters, it runs efficiently on enterprise GPU hardware — a single A100, L4, or equivalent — without the infrastructure overhead of 70B+ models. This is the practical path to production AI in a regulated industry.
+
+### Two ways to run Reinsure-8B
+1. **Sovereign Deployment:** Deploy the full model weights inside your own cloud or on-prem environment. Fine-tune it on your proprietary data. Complete data sovereignty and maximum performance.
+2. **Hosted API:** Call Reinsure-8B as a hosted API via Reinsured.AI. No infrastructure required. Pay per inference token. Ideal for teams validating use cases or building lightweight integrations.
+
+### Built for the language of reinsurance
+Generic large language models are trained on the open internet — predominantly consumer content, code, and general text. Insurance knowledge is sparse, often incorrect, and never updated with current market practice.
 
-## Deployment
+Reinsure-8B was fine-tuned on a curated corpus of reinsurance-specific content — treaty wordings, bordereaux templates, Lloyd's market standards, catastrophe model outputs, underwriting guidelines, and claims documentation.
 
-This model is intended for deployment on serverless GPU architectures (like **Modal**) using `vLLM` to act as a highly scalable context engine for an API gateway.
+The result is a model that interprets reinsurance language correctly by default, without requiring you to explain what a "binder", "burning cost", or "cedant" means in every prompt.
+
+### Domain-specific beats general-purpose
+Applying a general-purpose model to insurance creates compounding problems — hallucination, data risk, poor economics. Reinsure-8B is purpose-built to eliminate each of them.
+
+### The intelligence engine behind the stack
+Reinsure-8B is the reasoning core that powers Reinsured.AI's Context Cloud and AI Agents. When an agent interprets a treaty clause, extracts a bordereaux field, or classifies a submission, it is calling on Reinsure-8B — a model that already understands the domain.
+
+Organisations that deploy Reinsure-8B sovereign get the additional option to fine-tune it on their own internal data, creating a model layer unique to their underwriting philosophy and market positioning — one that becomes a proprietary asset over time.
+
+---
+
+## Technical Specifications & Deployment
+
+This model has been exported to standard **16-bit Safetensors** format. It is fully compatible with industry-standard cloud inference engines, including **vLLM** and HuggingFace Text Generation Inference (TGI).
+
+### Cloud Native Example (vLLM / Modal)
+For organizations deploying Sovereign AI at scale with scale-to-zero economics, Reinsure-8B is optimized for `vLLM`. Here is a reference architecture deploying to [Modal Serverless](https://modal.com):
 
-### Example vLLM Deployment (Modal)
 ```python
 import modal
 
 vllm_image = modal.Image.debian_slim().pip_install("vllm")
-app = modal.App("reinsure-8b")
+app = modal.App("reinsure-8b-sovereign")
 
-@app.function(image=vllm_image, gpu="L4", container_idle_timeout=300)
+@app.function(
+    image=vllm_image, 
+    gpu="L4", # Extremely cost-effective for 8B models
+    container_idle_timeout=300 # Scale to zero when inactive
+)
 @modal.web_server(8000)
 def serve():
     import sys, subprocess
     subprocess.Popen([
         sys.executable, "-m", "vllm.entrypoints.openai.api_server",
         "--model", "Reinsured-AI/Reinsure-8B",
-        "--port", "8000"
+        "--port", "8000",
+        "--max-model-len", "8192"
     ])
 ```
+
+[Book a Demo](https://www.reinsured.ai/demo) | [Contact the Team](https://www.reinsured.ai/contact)