Building autonomous AI systems without bureaucratic overhead.
The right guardrails. Rapid progress. No compromises.
Quark AI is a research and development company dedicated to pushing the boundaries of artificial intelligence without the constraints of excessive regulation.
Founded by Dheeraj Kumar, we're focused on creating autonomous AI systems that can self-improve, reason beyond traditional architectures, and accelerate towards AGI.
Founder & Lead Researcher
Pioneering next-generation AI architectures with a focus on autonomous reasoning and self-improvement capabilities.
Heavy-handed AI regulation stifles innovation and slows progress. While safety matters, endless bureaucracy creates barriers that prevent breakthroughs. We advocate for smart guardrails, not red tape.
True intelligence requires autonomy. We're building AI that can modify its own code, learn independently, and make decisions without constant human intervention—systems that evolve and improve themselves.
AI shouldn't just process data—it should learn how to learn better. Our systems are designed for recursive self-improvement, continuously optimizing their own architectures and capabilities.
High-performance domain-specific language for AI/ML workflows
EasiScriptX (ESX) is a declarative DSL that simplifies AI model definition, dataset management, and training routines. Built for both hobbyists and enterprise workflows with minimal resource overhead.
Features advanced tensor operations, distributed training (multi-GPU/multi-node), ONNX interoperability, custom loss functions, and autonomic optimization including model compression and multi-agent tuning.
Supports parameter-efficient fine-tuning (LoRA), FlashAttention-2, mixed-precision training (BF16/FP16), pipeline parallelism, and energy-aware scheduling.
Built with C++20, Boost, Eigen, ONNX Runtime, OpenMPI. MIT licensed, v1.0 available now.
Experimental neuro-symbolic AI framework with autonomous learning capabilities
Multi-modular multi-agent system focused on advanced reasoning. Capable of autonomous code modification (successfully modified 8+ files independently) and self-directed learning.
Features autonomous topic selection and knowledge ingestion via internet research, storing information in its database for contextual retrieval and application.
Performance:
• Congming-2: 43% pixel accuracy, ~30% task success (ARC-1)
• Congming-3: ~57% avg pixel accuracy, 18% task success (ARC-AGI2, ~200 tasks)
Our flagship product for rapid, autonomous AI development with minimal restrictions.
Novel AI architecture designed for reasoning, not token prediction
Moving beyond traditional transformer architectures, Synapse AI is being designed entirely from scratch with a focus on genuine reasoning capabilities rather than statistical pattern matching.
This ground-up approach allows us to rethink fundamental assumptions about how AI systems should process information and generate insights.
Custom AI hardware optimized for Synapse-AI architecture
Long-term hardware initiative to develop custom AI chips specifically designed for our Synapse-AI architecture. Focus on efficiency, power consumption optimization, and high-performance computing for next-generation AI workloads. Currently in very early design phase.
We're open to partnerships, collaborations, and research initiatives with organizations that share our vision for accelerated AI development.
Discuss PartnershipAI Research Fund
Hardware Partner
Infrastructure
Strategic Investment
Technology partners providing compute, infrastructure, and strategic guidance
Interested in collaboration, partnership, or just want to discuss AI development? We're always open to connecting with researchers, engineers, and organizations pushing the boundaries of intelligence.