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README.md

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+short_description: Building agentic small reasoning models (SLMs).
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+# DeepBrainz AI & Labs
 
-Edit this `README.md` markdown file to author your organization card.
+**DeepBrainz AI & Labs builds reasoning-first, agentic Small Language Models (SLMs), advancing RL post-training and test-time scaling to deliver efficient, reliable intelligence.**
+
+---
+
+## What We Work On
+
+We focus on **small, efficient language models** that demonstrate strong reasoning behavior without relying on brute-force scale.
+
+Our research explores:
+- Reinforcement learning–based post-training
+- Test-time and inference-time scaling
+- Long-context efficiency
+- Agentic reasoning workflows
+- Systematic ablations over architecture, data, and context length
+
+---
+
+## DeepBrainz-R1
+
+**DeepBrainz-R1** is our primary open research line.
+
+It is a family of reasoning-first SLMs designed for:
+- Multi-step reasoning
+- Long-context understanding
+- Research and agentic experimentation
+
+We publish multiple variants to support **transparency and reproducibility**.  
+Only selected releases are considered *supported*.
+
+---
+
+## Philosophy
+
+We explicitly optimize against:
+- Shallow pattern matching
+- Benchmark gaming
+- Prompt memorization
+
+We treat intelligence as a **behavior to be trained**, not a side-effect of model size.
+
+---
+
+## Open Research
+
+DeepBrainz AI & Labs is an independent research lab.
+
+Our work is public, iterative, and driven by first-principles experimentation.
+
+Follow the organization to track ongoing releases and research updates.