ATHENAAgent
AthenaAgent launches enterprise RL platform for production-ready AI agents
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Your intelligent agent.

Every AI agent, thoughtfully trained.

Trusted by top teams at

Enterprise Co
Tech Startup
AI Labs
Research Inc
Business Impact Over Time
/ The Journey

The AthenaAgent
Difference

From brittle prompting to production-ready intelligence. We transform your AI agents through proven reinforcement learning techniques, ensuring reliability at scale.

⚠️

Brittle Prompting

Before

Traditional agents fail in complex scenarios, breaking down when faced with edge cases and real-world complexity.

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RL Post-Training

During

Our reinforcement learning pipeline transforms your agent through reward modeling and policy optimization.

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Production Ready

After

Reliable, scalable AI agents that learn from mistakes and perform consistently in production environments.

Our Services

End-to-end RL post-training for enterprise AI agents

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RL Post-Training

Complete reinforcement learning pipeline from reward modeling to policy optimization. Our end-to-end solution ensures your AI agents perform reliably in production environments.

Reward Modeling

Human feedback integration

Policy Optimization

Advanced PPO algorithms

Evaluation Setup

Performance measurement

Model Merging

Advanced techniques

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Compute Cost Estimation

Optimize cloud spending with detailed cost analysis and provider recommendations for maximum efficiency.

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Dataset Cleaning

Curate high-quality synthetic datasets tailored for your specific RL training requirements.

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Evaluation Setup

Comprehensive performance measurement frameworks to track and validate agent behavior.

About Us

We're AI researchers working hard to enable building world-changing AI products by securing them against real risks. Our goal is to accelerate progress by solving complex security challenges to enable our customers build ambitious products. If you are an ambitious techno-optimist, join us to shape the future of AI products.

Sachin Dharashivkar
FOUNDER

Sachin Dharashivkar

Masters in Computer Science, UMass Amherst

Solving real-world problems with deep reinforcement learning agents since 2016

Built simulators and agents to execute high volume equity trades at JPMorgan Chase

Trained RL agents to play collaborative, multiplayer games at Unity Technologies