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+---
+title: AlphaBench
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+---
+
+# AlphaBench
+
+**Mission:** Build the most capable, efficient, and deployable large language models ever created — trained on home-compute, deployable at any scale, optimized to surpass every existing benchmark, and engineered to be as close to artificial general intelligence as current science permits.
+
+---
+
+## What We Are Building
+
+AlphaBench is an independent AI research initiative. We develop open-weight language models under the **Atman** series — named from the Sanskrit *Atman*, meaning the eternal, true self or soul, distinct from the temporary physical body, mind, and ego. The name is intentional. We are not building another chatbot. We are building a model that reasons, reflects, and acts with genuine depth and agency.
+
+Research began in March 2025. Every model we release is the product of rigorous, constraint-driven engineering — no cloud compute budget, no institutional backing, no shortcuts. If it works here, it works anywhere.
+
+---
 
-# alphabench: India's AI-Powered Financial Research Platform
+## Core Principles
 
-Making smart investing accessible for everyone in India through cutting-edge AI technology and user-friendly financial research tools.
+**Efficiency is not a tradeoff.** We treat compute constraints as a design requirement, not a limitation. Every architectural decision is made with deployment in mind — from a single personal device to national-scale infrastructure.
 
-## Our Mission
+**Benchmarks are targets, not marketing.** We build toward measurable, reproducible performance. Every release is evaluated against the strongest available baselines. We do not publish claims we cannot back with numbers.
 
-We're democratizing financial research for Indian investors by providing powerful yet accessible tools that were previously available only to institutional investors. alphabench helps you test trading ideas, analyze portfolio performance, and make data-driven investment decisions with confidence.
+**Agentic by design.** Atman models are built from the ground up with agentic capability as a first-class requirement — long-horizon reasoning, tool use, self-correction, and autonomous task execution are not afterthoughts.
 
-## Our AI Technology
+**Open and reproducible.** Our research, weights, and methodology are made available to the public. The goal is to advance the field, not gate it.
 
-- **Currently**: Using a customized version of deepseek trained specifically for Indian financial markets
-- **In Development**: Building 'atman-100m', India's first homegrown AI model designed from the ground up for local financial analysis
-- **Contextual Understanding**: Our AI comprehends Indian market regulations, liquidity challenges, and sector-specific characteristics
+---
+
+## Atman Model Series
+
+The Atman series represents our primary research line. These models are:
 
-## Key Features
+- Trained entirely on home-compute hardware
+- Architecturally optimized for parameter efficiency and inference speed
+- Designed to exceed state-of-the-art performance on established LLM benchmarks
+- Capable of being deployed on minimal hardware without degrading core capability
+- Built with agentic reasoning as a native property, not a fine-tuned add-on
 
-- **Backtesting Engine**: Test your investment strategies against historical data before risking real money
-- **Comprehensive Analytics**: Get clear, easy-to-understand reports on returns, risk levels, drawdowns, and win/loss patterns
-- **Strategy Organization**: Save, compare, and refine multiple investment approaches
-- **Stress Testing**: See how your portfolio might handle market crashes and major economic events
-- **User-Friendly Interface**: Designed for everyone from beginners to professional analysts
+The Atman models target the full capability spectrum — from edge deployment on personal machines to scaled production serving millions of requests.
 
-## Who We Serve
+---
+
+## Research Focus Areas
 
-- **New Investors**: Build confidence without risking savings
-- **Professional Analysts**: Save research time with efficient testing tools
-- **Algo Traders**: Validate algorithms before going live
-- **Educators & Students**: Use as a financial laboratory for learning
+- **Efficient pre-training at scale under resource constraints** — proving that frontier-class models do not require frontier-class infrastructure
+- **Reasoning architecture** — advancing chain-of-thought, multi-step inference, and self-reflective reasoning beyond current published methods
+- **Agentic training and alignment** — developing training pipelines that produce models capable of sustained autonomous task completion
+- **Benchmark-driven development** — systematic evaluation against MMLU, HumanEval, MATH, ARC, HellaSwag, and emerging agentic benchmarks
+- **Quantization and deployment optimization** — ensuring full capability is accessible at every compute tier
 
-## Our Values
+---
+
+## Standing
+
+AlphaBench operates independently. We have no corporate affiliation, no venture backing, and no compute credits from hyperscalers. This is deliberate. The most important proof of concept we can offer is not a benchmark score — it is the fact that everything we build was built without the resources everyone said were required.
+
+The Deepseek R1 reasoning model was the last major inflection point in this field. Atman is the next one.
+
+---
 
-- **No Direct Investment Advice**: We provide insights and analysis, but final decisions remain with you
-- **Regulatory Compliance**: We align with guidelines set by India's financial authorities
-- **Privacy & Security**: Robust protection for all your backtesting and portfolio data
-- **Continuous Improvement**: Our systems get smarter and more accurate over time
+## Contact and Collaboration
 
-## What's Next
+We welcome collaboration from researchers, engineers, and institutions aligned with our mission. If you are working on efficient training, novel architectures, or agentic systems and want to contribute, reach out through our HuggingFace profile or associated channels.
 
-- Launching our 'atman-100m' model for deeper Indian market insights
-- Expanding data sources to include real-time feeds, social media sentiment, and economic indicators
-- Breaking down barriers to sophisticated financial research tools for all Indian investors
+All model releases, evaluation results, and technical reports will be published here as research progresses.
 
 ---
 
-*alphabench: Where cutting-edge AI meets practical financial research — no PhD required!*
+*AlphaBench — Research started March 2025.*