Applied AI research and development
Kacti AI is an applied AI R&D company. We build foundational technology for structured semantic reasoning in domains where correctness and explainability matter most.
Built by a founder who's lived inside the problem
Andres Martinez spent 15 years at Microsoft as a Principal Architect on the VP/CTO team, building and architecting large-scale AI and enterprise systems. He holds multiple patents in enterprise systems, including synthetic data generation, async processing frameworks, and dynamic query optimization.
He founded Kacti AI to research and develop new foundational approaches to AI. That work has produced new methods for semantic model development, structured reasoning frameworks, and a programming language designed for AI interaction. Kacti AI exists because current AI systems retrieve and generate without understanding structure. Closing that gap requires building from a new foundation.
He started building at 16, founding the leading online platform for track & field athletes in Mexico. Former national champion in the 400m. Same discipline, different race.
Our Purpose
Complex information deserves structured understanding, where every analysis is grounded, every reasoning path is visible, and every conclusion can be explained.
Our core innovation is semantic intelligence: giving AI true structural understanding across complex information. The ability to reason over what's there, detect what's missing, and produce analysis you can inspect and trace.
Where We're Going
We're building in three phases. First, foundational AI research: the reasoning systems that give AI structural understanding of complex information. Second, domain application: proving the technology works in legal, where the demands on reasoning are highest. Third, expansion: bringing the same foundational systems to enterprise operations, research, compliance, and other domains where structured reasoning creates value.
Each phase builds on the previous one. The technology is domain-agnostic at the engine level; applications are domain-specialized. Legal is first, not last.
How We Build
Every system we create starts the same way: define the concept, model the essential structure, then implement. We never jump to code. We build a semantic representation of the domain first, capturing only the concepts, relationships, and constraints that matter. Implementation details come last, not first.
This discipline compounds. Each domain we enter benefits from the same structured approach. The result is systems that are clearer, more correct, and easier to extend, because they're built on what's essential, not what's incidental.
Our Principles
Clarity Above All
Decisions, systems, and communication should be transparent and easy to understand, from how we design software to how we work with partners and customers.
Correctness Earns Trust
We hold ourselves to a standard where our work must be dependable and efficient. Trust is something we earn through consistent execution, honest systems, and a commitment to doing the right things.
Embrace Creative Thinking
Building what comes next requires imagination, curiosity, and the courage to challenge established assumptions. Creating a new foundation for intelligent systems demands original thinking and the willingness to go beyond what exists today.
Illustration: sammtza