Company

On-board intelligence for autonomous machines.

Klerix builds the runtime, simulation, and fleet tools that keep robots working on site.

Robot arms on an automated production line

Built for the floor real-world robotics

Thesis

AI models, simulation, and edge compute are ready for warehouse work.

World models and edge compute can now handle specific warehouse tasks.

Klerix builds the runtime, simulation, and fleet console in one stack.

Values

Reliability beats demos. Evidence beats hype. Safety beats shortcuts.

Buy throughput, not licenses

We price throughput, uptime, and FTE capacity.

Production reliability

We publish uptime, cycle time, interventions, safety stops. Aegis pre-checks motion.

Auditable by default

Every motion, sensor reading, and model output creates a trace.

Machine-grade trust

SOC 2, ISO 13849, IEC 61508, IEC 62443 controls; signed OTA, KMS.

Field craft is the moat

The advantage comes from perception, planning, safety work, field service, latency, and clear operator tools.

Compound the data flywheel

Each run labels motion and perception data; simulation uses those labels to harden skills before deployment.

Team

AI, machine-vision, and ML-systems engineers.

Built by engineers who have shipped forecasting, computer vision, LLM agents, and production ML systems.

CO-FOUNDER · CEO

Luis Selvera

AI & ML engineer. Led enterprise forecasting and LLM-agent systems (LangGraph, Azure AI, RAG) at CPS Energy, cutting error 27%. MS Computer Science, UT San Antonio.

CO-FOUNDER · CTO

Varsha Lambi

ML & computer-vision engineer. Built real-time CNN detection and pose-estimation systems at Dori AI (95% accuracy, 90% faster). M.Eng, Rutgers University.

KEY ENGINEER · GEN AI

Shariq Ali

Founding AI engineer in Gen AI and ML. Shipped predictive and LLM products end-to-end. MSc Artificial Intelligence, University of Essex.

KEY ENGINEER · AGENTIC AI

Laiba Nisar

Generative-AI engineer building RAG pipelines, agentic reasoning, and FastAPI model services in production. BS Data Science, UMT.

KEY ENGINEER · ML SYSTEMS

Sharon Reddy

Data scientist building production RAG and low-latency LLM inference at scale (PNC, Accenture). MS Computer Science, Kennesaw State.

Backers

Backed by infrastructure investors who know robotics and industrial software.

Sequoia

Founders Fund

Index

Conviction

SV Angel

XYZ

Plus field angels from on-board compute, Tesla, Stripe, Ramp, Datadog, Snowflake.