ABOUT HATHA SYSTEMS
Decades Devoted To Decoding How Enterprise Systems Really Work
We built Knowledge Refinery® (KR) to extract the knowledge you need for accurate decisions and oversight—and give you confidence in AI outputs.
Built on decades of work across financial services, government, cybersecurity, and enterprise technology, KR extracts deterministic knowledge directly from your coded world—retaining traceability to the source so people and AI can act on fact rather than guesswork.
We saw enterprises making decisions on incomplete knowledge.
AI increases that cost.
Our team, rooted in Silicon Valley and Research Triangle Park, has spent decades inside the systems that run banks, governments, and large enterprises. We saw analysis tools produce useful but disconnected views—each revealing part of the truth, but not enough to show how the enterprise actually worked end-to-end. The resulting gaps created hidden risk.
Now AI is being asked to transform, automate, and act on those same systems. A model working from an incomplete picture fills gaps with ungrounded extrapolations and untraceable results. The need for transparency and traceability across the coded world has never been greater.
We brought together experience in software and application analysis, legacy modernization, financial services and government operations, enterprise hardware and software, cybersecurity, and new-market development to build the answer: Knowledge Refinery.
KR evolved from analyzing software to extracting the knowledge it encodes.
Our leaders have built multiple generations of technology for understanding business applications and data. KR advances that work from application analysis to patented extraction of knowledge across your deterministic operations—creating a bridge between your coded world and your AI and human workforce.
KR extracts and structures the knowledge encoded in your operational systems (code paths, structures, terms, rules, data lineage, and workflows) while preserving traceability to the underlying source. The result is an operational blueprint: your knowledge baseline to understand and change your operations. That same knowledge baseline can be accessed directly by AI agents and the inference systems they orchestrate to improve the accuracy and traceability of their results. This crucial step grounds AI in your operational knowledge and supports your progress toward controlled autonomy.
AI keeps evolving. What AI needs from the enterprise doesn’t.
Models, agent frameworks, and AI platforms are evolving rapidly. Through every shift, one requirement has held: AI can act reliably only on enterprise systems it knows. KR is designed—and protected by a growing U.S. patent portfolio—to meet that need.
- Patented ahead of the curve. We filed our first patent applications in 2020, and our seventh U.S. patent was issued in 2026.
- Built for agents. AI agents consume KR’s output directly through KR Advisor over Model Context Protocol (MCP), so people can ask questions of traceable enterprise knowledge in natural language through the agents they already use.
- Model-agnostic. KR works with the AI models, agent frameworks, and platforms our customers choose, without tying them to one vendor.
What sets KR apart?
Determinism
KR extracts knowledge of your deterministic operations from the systems themselves rather than approximating it. People and AI work from what the systems encode, not from assumptions about them.
Traceability
Extracted knowledge remains traceable through business and technical layers to its underlying source, giving teams evidence for root-cause analysis, changes, and verification of AI agents’ execution.
Scale
Enterprise systems span evolving, multi-application and multi-language estates. KR connects knowledge across applications to reveal end-to-end workflows and data lineage—and can correlate those technical realities with the human workflows around them.
Don’t approximate your operation. Extract it.
Leadership
Rama Moorthy
Founder & CEO
Read Bio
Mike Oara
Co-Founder & CTO
Read Bio
Joseph Bell
Senior Director, Client Solutions
Read Bio
Joe has more than 30 years in systems engineering management, portfolio analysis and modernization, and solution delivery across banking, marketing, nuclear power generation, and CI/CD technology, including roles with IBM, Micro Focus, Level 8, and BMC. At Hatha Systems, Joe leads client solutions across the customer lifecycle, from pre-sales pilots through implementation of Knowledge Refinery and ongoing support services.
Dr. Tim Rudolph
Chief Solutions Officer
Read Bio
Tim has more than 35 years of experience leading advanced technology initiatives, digital transformation, and system-of-systems solutions for the defense and commercial sectors, including as Chief Technology Officer of the U.S. Air Force Life Cycle Management Center. At Hatha Systems, Tim leads solutions strategy, shaping how Knowledge Refinery is applied to customers’ transformation, compliance, and AI initiatives.
Helen Farrell
Business Development & Corporate Development Executive
Read Bio
With over three decades in enterprise sales—including leadership roles at Oracle and IBM— Helen has closed enterprise agreements reaching nine figures, helped launch start-ups in the U.S. and internationally, and built U.S. sales and representation organizations for international technology companies. At Hatha Systems, Helen originates and develops strategic relationships for Knowledge Refinery’s IP portfolio and leads enterprise sales and sales operations.
Craig Lawton
Chief Growth Officer
Read Bio
Craig has more than 40 years of senior leadership experience guiding organizations through change, with deep expertise in IT and digital transformation, mergers and acquisitions, and leadership development. He retired from Boston Consulting Group as a Senior Partner and Managing Director & Partner. At BCG, Craig was CEO of BCG Platinion, where he led the growth of BCG’s digital build business. He has been a Partner at A.T. Kearney and a Principal at Booz Allen Hamilton. He is also an executive coach and a leader in leadership training. At Hatha Systems, Craig leads growth strategy and market adoption for Knowledge Refinery.
Bring us your toughest challenges.
Digital transformation, compliance, risk management, resilience, or the move to AI automation and autonomy—every business challenge starts with knowing how your systems actually work.