DeepBrainz AI & Labs

Reasoning-first Small Language Models for agentic systems in production

DeepBrainz AI & Labs builds reasoning-first, agentic Small Language Models (SLMs) optimized for reliability, controllability, and efficiency in real-world AI systems.

We focus on behavioral intelligence β€” training models to reason, plan, and act β€” rather than scaling parameters or gaming benchmarks.


πŸ”‘ Start Here (Recommended Models)

If you’re new to DeepBrainz-R1, start with one of these:

All other variants are experimental or research-only.


🧠 Capabilities

What DeepBrainz-R1 Is Built For

🚫 What It Is Not Optimized For


πŸ§ͺ Research Philosophy

We explicitly optimize against:

We treat intelligence as a behavior to be trained, not a side-effect of model size.


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:


DeepBrainz-R Series

DeepBrainz-R1 is our primary open research line.

It is a family of reasoning-first SLMs designed for:

We publish multiple variants to support transparency and reproducibility.
Only selected releases are considered supported.


🧱 Model Support Status


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.