The Future of
Domain-Specific AI
We build "Intelligent Navigators" that understand your specific domain. From education to enterprise, experience specialized AI agents that deliver real value.
Trusted Partners & Collaborators
Intelligence, Structured.
We don't just build chatbots. We build structured intelligence systems designed for reliability, accuracy, and deep domain expertise.
Seagull Agent
Autonomous crawling agent that builds a knowledge base from your website in minutes. Features auto-sync capability to keep your AI always up-to-date.
- Builds in minutes, no coding needed
- Auto-syncs with your website changes
Comprehensive Dashboard
Manage your AI agent with complete control. From defining personas to monitoring real-time conversations, our dashboard provides every tool you need for successful deployment.
- Fine-tune Agent Persona & Privacy
- Real-time Analytics & Log Monitoring
EntropyMath
The rigorous benchmark for AI mathematical reasoning used by top researchers.
View BenchmarkBenchmark Gallery
A visual tour of how EntropyMath evaluates agentic reasoning. Swipe to explore our rigorous benchmarking methodology.
Evaluation Pipeline
Comprehensive overview of the multi-stage evaluation process for agentic capabilities.
Model Performance
Comparative analysis showing Solar-Pro-2's leadership among 30B+ models.
Hard Problem Set
Examples of 'Seed-10' problems requiring multi-step agentic reasoning.
Auto-Generation
Algorithmic generation of contaminant-free problems for sustainable benchmarking.
Methodology: Beyond Language
Existing benchmarks often measure linguistic pattern matching rather than true reasoning. To bridge this gap, we developed EntropyMath using our proprietary Seed-10 dataset—a collection of high-difficulty problems that require multi-step logical deduction.
Our evaluation pipeline forces models to use Agentic Reasoning. By integrating Python tools (as shown in Fig 3), models must calculate, interpret, and re-evaluate their answers, mirroring human problem-solving processes.
Insights: Solar Pro 2 & Future
In our recent workshop, Solar Pro 2 demonstrated exceptional capability, achieving 53.3% accuracy and a 70.0% Pass@3 rate on our rigorous tests (Fig 2).
"We are moving from being Fast Followers to First Movers in the global AI landscape."
EntropyMath ensures sustainable evaluation by auto-generating derived problem sets (Fig 4), preventing contamination and ensuring models are tested on fresh, unseen logic.
AI Textbook Assistant
Transform static educational content into interactive learning experiences. Our AI Assistant analyzes textbook problems and provides step-by-step guidance.
- Real-time problem analysis
- Interactive step-by-step tutoring
Start Building with
DeepFountain Engine
Join the leading institutions and enterprises deploying domain-specific AI that actually works.
Enterprise-grade security • 99.9% Uptime SLA • Dedicated Support