AI that says what it does, and does what it says.
GoPX.ai delivers production-ready LLM solutions that enterprises can trust. Every agent is conversationally programmable, carries its own explanation and proof, and operates within your business rules, constraints, and exceptions.
Three commitments behind every GoPX agent
Programmable
Shape the AI's behavior through conversation. Encode business rules, constraints, and exceptions in plain language — no retraining, no black-box fine-tuning.
Explainable
Every PX-AI agent shows its reasoning. Each answer ships with its own explanation and proof, so humans can verify what the AI did and why.
Trustworthy
Meta-awareness, ground-truthing, and transparent reasoning combine to mitigate the inaccuracies and unpredictable behavior that plague other LLMs.
How GoPX is different from ChatGPT and LLaMA
Meta-awareness
Data = AI. Data + Metadata = Superior AI. We enrich training signal with structured business and organizational context.
Ground-truthing
Weak supervision combined with human-level wisdom and judgement — so the AI is anchored in real-world correctness, not just statistical patterns.
Transparent reasoning
All PX-AI agents show their reasoning. No hidden chains of thought — explanation and proof travel with every output.
Built on decades of AI research
Dr. Hasan Davulcu
Founder, GoPX.ai · Professor, School of Computing and Augmented Intelligence, Arizona State University
Dr. Hasan Davulcu is a professor at Arizona State University's School of Computing and Augmented Intelligence, where he directs the Cognitive Information Processing Systems (CIPS-AI) Lab. For over two decades he has developed patented AI and machine learning algorithms for mining multi-lingual text, image, and video from social networks, and pioneered logic-based foundations for programmable agentic workflows. His work on sociocultural modeling earned the 2011 HSCB Focus Exceptional Scientific Achievement Award from the US Office of the Assistant Secretary of Defense for Research and Engineering.
Education
- Ph.D. Computer Science, Stony Brook University
- M.S. Computer Science, Stony Brook University
- B.S. Mathematics, Middle East Technical University (METU)
US OASD(R&E) recognition for Minerva Research Initiative work on counter-radical discourse.
Leading behavioral analytics research for financial fraud detection.
Novel analytics for measuring and countering social influence of extremist groups.
Deploying proprietary algorithms from social science and AI in production settings.
Selected research
The intellectual foundations of GoPX.ai — peer-reviewed work on programmable AI, agentic workflows, and explainable reasoning.
Beyond the Black Box: Programmable AI and Explainable Text Analysis for Trustworthy Social Intelligence
IEEE Internet Computing · Special Issue on Civilizing and Humanizing AI · 2024
Introduces the programmable + explainable paradigm that underpins GoPX — a scalable stance-directed architecture that lets humans shape AI behavior conversationally while preserving transparent, auditable reasoning.
Towards a Programmable Humanizing AI through Scalable Stance-Directed Architecture
IEEE Internet Computing, Vol. 28(5)
NARRA-SCALE: Scaling Users and Messaging through Narrative Detection in Retweet Networks
IEEE ICTAI'25
Targeted Marketing on Social Media: Utilizing Text Analysis to Generate Personalized Landing Pages
Social Network Analysis and Mining, Vol. 14
CTR-S: A Logic for Specifying Contracts in Semantic Web Services
WWW 2004
Logic Based Modeling and Analysis of Workflows
ACM PODS 1998
Effective Messaging on Social Media: What Makes Online Content Go Viral?
The Web Conference (WWW'22)
Frequently asked questions
What is GoPX.ai?
GoPX.ai offers production-ready LLM solutions that enterprise AI users can trust. We champion programmable AI — agents that carry their own explanation and proof, can be conversationally programmed with business rules and constraints, and are built to say what they do and do what they say.
How is GoPX different from ChatGPT, LLaMA, or other LLMs?
While competitors grapple with the challenge of controlling their AI models, GoPX is uniquely programmable, explainable, and trustworthy. We leverage metadata, weak supervision, and human-level ground-truthing to encode business and organizational context, constraints, exceptions, and rules — mitigating the inaccuracies and unpredictable behavior that plague other AI systems.
What are the real-world impacts of AI inaccuracies?
When AI inaccuracies occur, consequences can be severe: eroded trust, wasted resources, and misguided business decisions. GoPX is designed specifically to make those failures detectable and recoverable — by surfacing the reasoning behind every answer.
How does GoPX avoid AI inaccuracies?
Three mechanisms: (1) Meta-awareness — Data + Metadata yields superior AI. (2) Ground-truthing with human-level wisdom and judgement. (3) Transparent reasoning — every PX-AI agent shows its reasoning with explanation and proof.
Who is behind GoPX.ai?
GoPX is founded by Dr. Hasan Davulcu, Professor at Arizona State University's School of Computing and Augmented Intelligence and director of the CIPS-AI Lab. He has over two decades of peer-reviewed research on programmable AI, agentic workflows, sociocultural modeling, and explainable reasoning — published at ACM, IEEE, and NSF/DoD-funded venues.
How do I learn more or get in touch?
The fastest path is to read the research — start with 'Beyond the Black Box' in IEEE Internet Computing, then explore the publications list. For partnership and enterprise inquiries, use the contact section below to reach Dr. Davulcu's team directly.
Bring programmable, explainable AI into your enterprise.
GoPX.ai turns decades of AI research into production systems you can trust. Reach out to explore a collaboration or pilot.
Responses from Dr. Davulcu and the GoPX team directly.