About AskSLM
The team behind AskSLM.
A battle-tested founding team and a high-velocity engineering group focused on turning cutting-edge AI into secure, deployable systems.
The AI industry built everything for Silicon Valley's risk profile. Cloud-first architectures, per-token pricing models, and terms of service that disclaim responsibility for outputs. For a SaaS startup, this works. For a hospital managing patient records, a law firm protecting privileged documents, or a government agency handling classified information, it is a non-starter.
Our Story
Why AskSLM exists.
AskSLM was founded on a simple observation: the industries that stand to benefit most from AI are the ones least able to adopt it. Not because the technology is not ready, but because the deployment model is wrong. Regulated enterprises need AI that runs on infrastructure they own, processes data that never leaves their perimeter, and produces outputs they can trace and audit.
We built AskSLM to close that gap. A production-grade inference engine written in C++. A secure marketplace of domain-specific models from trusted vendors. No-code training tools that let domain experts -- not ML engineers -- customize AI for their workflows. All of it running on standard hardware, entirely on-premise, with zero cloud dependencies. This is AI built for the way regulated industries actually work.
Leadership
Founding team.
Clint House
Co-Founder & CEO
Previously founded and sold an AI/virtual wellness tech company, bringing deep experience in building scalable architectures and high-velocity product teams. A veteran tech entrepreneur with 20+ years of experience and multiple exits, Clint has led and scaled ventures across healthcare and deep tech, consistently commercializing breakthrough technologies in highly regulated environments. Now focused on building the decentralized AI infrastructure platform for secure, private AI.
Zurab Tutberidze
Co-Founder & CTO
A world-class systems engineer and runtime architect with deep expertise in C++, model optimization, and high-performance computing. Over his 20+ year career, Zurab has built nation-scale secure systems and ultra-low-latency execution engines, leading engineering teams in mission-critical environments. At AskSLM he owns the full inference stack, driving firmware, runtime architecture, and hardware-software co-design to deliver faster, safer, more efficient enterprise-grade AI systems.
Engineering
The people building it.
The people building the inference engine, training pipelines, and deployment infrastructure.
Mariam Mekarishvili
Fullstack Developer
Owns the consoles and workflows that make complex on-premise AI feel simple for enterprise users.
Giorgi Levidze
Research & PM
Turns vision and architecture into clear roadmaps, specs, and artifacts the whole team can execute on.
George Goglodze
DevOps Engineer
Keeps the inference stack fast, observable, and resilient across on-prem and appliance environments.
Thomas Struntz
C++ Engineer
Focused on low-level performance, concurrency, and memory optimization in the inference engine.
Alejandro Barkasz
C++ Engineer
Works on model execution pipelines, hardware integration, and cross-platform runtime stability.
Saksham Adhikari
ML Engineer
Responsible for training pipelines, model evaluation, and optimization of small language models.
Get in Touch
Ready to talk?
We will walk you through a live deployment tailored to your industry and compliance requirements.
No commitment. No data shared. 30-minute call.