Products
Real applications built on real infrastructure. From job market intelligence to AI frameworks. Each one solving actual problems.
GhostedAt.
Job market intelligence powered by real data.
The Problem
Job searching is broken. Companies ghost applicants. You don't know which employers actually hire. You apply blindly. You waste time on roles that go nowhere.
GhostedAt fixes this with real data on company ghosting patterns, hiring timelines, and application success rates.
What You Get
✓ Real hiring patterns
✓ Company response times
✓ Application success rates
✓ Role matching algorithm
✓ Ad-supported for job seekers
Built on: Real behavioral data from thousands of applications. Privacy-first processing. Local data aggregation. Zero personal data exposure.
Fitness Intelligence.
Gym app powered by computer vision and biometrics.
Real-time Analysis
Computer vision tracks your form. Detects reps. Analyzes movement quality. Runs locally on your phone — no cloud, no privacy compromise.
✓ Form analysis
✓ Rep counting
✓ Biometric tracking
✓ Injury prevention
Privacy First
Everything runs on device. Your video never leaves your phone. We don't store movement data. No cloud dependence.
✓ On-device processing
✓ No cloud upload
✓ Your data, fully owned
✓ Works offline
Job Application Analytics.
Data-driven insights for your job search.
Understanding Your Results
Track your applications. See which roles get responses. Understand what works. Learn from rejections. Optimize your job search strategy with real data.
Key Metrics
✓ Response rates by company
✓ Time to first interview
✓ Role success probability
✓ Profile optimization tips
✓ Market insights
Safe Open LLM Models.
Responsible language models for local deployment.
What Makes Them Different
Open-source language models optimized for local deployment. Quantized for your hardware. Fully transparent training process. No backdoors. No corporate control. You get the weights, the code, everything.
Optimized For
✓ Consumer hardware
✓ Edge devices
✓ Enterprise servers
✓ Minimal latency
Safety First
✓ Bias auditing
✓ Ethical guidelines
✓ Transparent limitations
✓ Community governance
Philosophy: Large language models shouldn't be gatekept behind expensive APIs. Open models with responsible deployment. No vendor dependency.
Reinforcement Learning Framework.
Production-ready RL for real-world applications.
Why This Matters
Current RL frameworks are academic. We're building one for production. Real constraints. Real performance requirements. Real-world deployment patterns.
✓ Production-tested
✓ Scalable agents
✓ Real-time optimization
✓ Safety constraints
What's Included
✓ Multi-agent coordination
✓ Policy optimization
✓ Experience replay
✓ Curriculum learning
✓ Sim-to-real transfer
Real-World Applications
Supply chain optimization. Dynamic resource allocation. Autonomous decision-making. Systems that learn from real interactions and improve over time.
Timeline.
What's coming.
Q2 2026
GhostedAt launch. Job analytics beta. RL framework alpha.
Q3-Q4 2026
Fitness app launch. Safe LLMs v1. RL framework public release.
2027+
Multi-modal systems. Enterprise support. Community ecosystem growth.
Interested in these projects?
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