Applied AI research and product engineering.
AI products for consumers and business 
A studio of researchers and engineers shipping consumer apps used daily and AI systems deployed inside businesses — built on multimodal, agentic, and low-latency model architectures.
MultimodalAgentsOn-device
Capabilities

The AI stack behind our products.

Shared infrastructure across our consumer apps and Holm AI — the same research and engineering runs in both.

Generative Models

Fine-tuned LLMs and diffusion models adapted to domain-specific generation and personalization.

Multimodal Perception

Vision-language models for image, video, and live camera-stream understanding across our product surface.

Conversational Agents

Tool-using LLM agents with long-context memory, structured output, and retrieval over user data.

Low-Latency Inference

On-device and edge deployment, quantization, and distillation for real-time responses at scale.

Products

One studio. Two lanes.

Consumer apps people use daily, and AI systems teams deploy in production.

Consumer

Bible

AI-assisted scripture study with contextual retrieval and conversational reference.

Meditations

An AI coach for guided meditation and reflection, adapted to each session.

Rhese

An AI fitness coach that personalizes training and form feedback in real time.

Business

Holm AI

AI systems for business — deployed inside operational workflows.

Location

Headquartered in Miami.

Our office in Miami's financial and technology district is built for focused research, engineering, and close collaboration.

Miami HQ

830 Brickell Plaza, Miami, FL 33131

Dedicated research and engineering workspace

Overlooking Biscayne Bay

On-site compute and ML infrastructure

830 Brickell Plaza, Miami, FL

Careers

Build AI systems in production.

Join a small team of researchers and engineers shipping applied AI into consumer apps and business tools.

Applied Research

Work directly with current-generation models — fine-tuning, evaluation, and deployment, not demos.

Short Iteration Cycles

Small teams own problems end to end. Research reaches production in days, not quarters.

Real Users, Real Scale

Consumer apps with daily active users and B2B deployments inside real operational workflows.