Oblique Research

Independent product & research studio

Applied AI.
Grounded in
real life.

Deployed software and applied research for connected homes, property operations, personal health, fitness, and robotics.

Oblique Research · San Marino, California

Inside the labSan Marino, California
Illustration of a home laboratory connecting rooms, a pool, fitness equipment and robots
A real home. A working laboratory.Connected systems, tested in everyday life.AI-generated studio illustration

AI development

Claude Code + OpenAI Codex

AI-assisted implementation and iteration, guided by hands-on product direction and validation.

  • Claude Code
  • OpenAI Codex

Connected home

Home Assistant

The integration layer connecting devices and automations across the home and property workflows.

  • Home Assistant
  • Lutron RadioRA 3
  • Ubiquiti / UniFi
  • Sonos
  • Tesla

Application development

Native apps + the web

Native SwiftUI interfaces alongside web dashboards, device APIs, and camera streaming.

  • Swift / SwiftUI
  • TypeScript
  • React
  • Python
  • WebRTC

Spatial computing

Spaces, scenes and context

Simulation and spatial interfaces connect camera observations with physical layouts and interactive environments.

  • Apple Vision Pro
  • WebXR
  • Three.js
  • Cesium
  • Blender

Application platforms

From personal devices to shared spaces.

Web / desktop
Dashboards & spatial prototypes
iPhone
Native SwiftUI companion
iPad
Native iPad review interfaces
Apple TV
Shared-room tvOS interface
Apple Vision Pro
Spatial web & review experiments
Reachy Mini
Camera & expressive interaction

Home integrations include Lutron RadioRA 3 lighting and Ubiquiti / UniFi cameras and networking. Fitness telemetry and larger robot integrations are development targets, with status shown below.

01

Property intelligence

SessionLens

Deployed

A deployed property dashboard that brings reservations, camera observations, and connected devices into one operational view. Used in the daily work of managing a real property.

  • SwiftUI
  • iPhone / iPad
  • Apple TV
  • Home Assistant
  • Ubiquiti cameras
  • WebRTC
Inside SessionLens

Current work

Reservation-aware views combine camera feeds, motion events, and gate observations, with uncertainty kept visible. Native iPhone, iPad, and Apple TV interfaces support review across devices.

SessionLens interfaces presented on Apple TV, iPad and an iPhone home-screen widget
Live SessionLens interfaces · iPhone, iPad & Apple TV · device mockup
Homeowner reviewing SessionLens on the television from a lounge chair
Future concept · humanoid assistance with SessionLens on Apple TV · AI-generated
02

Home automation

ClawDomo

Deployed

An LLM-powered “better Alexa” for the connected home. ClawDomo combines device state, household routines, and conversational context to infer what would be helpful—not just respond to commands.

  • Claude
  • Home Assistant
  • Lutron RadioRA 3
  • Ubiquiti / UniFi
  • Sonos
  • Tesla
Inside ClawDomo

Context that improves with the models

Home Assistant connects lighting, audio, energy, and security. As new model releases are integrated, ClawDomo makes more helpful inferences from the same household context.

Visit ClawDomo
ClawDomo live microsite
ClawDomo project microsite
03

Fitness & connected training

SessionLens Fitness

Concept prototype

An indoor-cycling companion concept that connects the workout, warm-up, and cool-down. Camera review and planned trainer integrations bring movement and performance into one session record.

  • Wahoo KICKR · planned
  • Zwift · explored
  • Strava · explored
  • Camera review
What’s being explored

Product direction

The concept covers automatic session capture, form review, workout data, hydration cues, and breaks. Trainer-connected capture and telemetry remain in development.

SessionLens fitness form-review concept
Concept prototype · session form review
SessionLens workout-data concept
Concept telemetry · integrations remain in development
04

Personal health intelligence

Health Atlas

Private working prototype

A private workspace that brings clinical records, biomarker trends, wearable history, imaging reports, and genetic exports into one view. Source-linked observations help organize changes and questions for clinician review, separate from AI-generated interpretation.

  • Clinical records
  • Biomarker trends
  • Wearable history
  • Genetic context
  • Source traceability
  • Evidence guardrails
Inside Health Atlas

Current work

Health Atlas reconciles dates, units, and test methods across sources, and labels measured, estimated, and inferred information. It supports personal organization and clinician conversations; it does not provide diagnosis or treatment decisions.

Conceptual Health Atlas schematic showing generic health-data source categories and no personal information
Private prototype · illustrative data sources
05

Embodied interfaces

Reggie

Deployed

Reggie is the lab’s Reachy Mini and its first deployed embodied AI. Camera feeds, voice, and expressive movement connect SessionLens with the room around it.

  • Reachy Mini
  • Hugging Face
  • WebRTC
  • Python
  • SwiftUI
What Reggie brings to the lab

Current work

Visitor review, robot-camera feeds, and iterative interaction experiments. SessionLens connects what the robot sees with the context of the session.

Reachy Mini robot
Reggie’s platform · Reachy Mini
06

Physical assistance

Humanoids, service robots & simulation

Research · SDKs & simulation

Research into physical assistance informed by property and session context: navigating a home, carrying essentials, and handling small hospitality tasks.

Ahead of hardware delivery, development uses available SDKs and simulation. A model of the lab’s backyard provides a shared environment for testing spatial understanding and scripted robot tasks.

  • Robot SDKs
  • Simulation
  • Python
  • Apple Vision Pro
  • Three.js
  • Blender

Current work SDK experiments and scripted towel and drink delivery in the backyard simulator.

Next milestone Transfer tasks to arriving hardware and evaluate completion, recovery, and human intervention in the lab.

View hardware status
Future robot hospitality scenarios
AI-generated concepts · proposed hospitality experiences
Backyard model reconstructed from blueprints and plan dimensions, showing scripted robot towel and drink delivery
3D render reconstructed from blueprints, plan dimensions, and site photos. Scripted MuJoCo robot replay shown; contact and motion physics are tested separately in MuJoCo.

Reggie is deployed today. Hardware on order and under discussion extends the research into mobility, manipulation, and home assistance.

Status as of September 2026. Preorders and discussions are distinct from deployed integrations. Vendor names identify research platforms; no partnership is implied. 1X logo courtesy of 1X.

Oblique Holdings · future roadmap

AI for property finances
and operations.

Oblique Holdings is the future direction for applying this work to passive real estate: connecting financial visibility with property operations.

Planned workflows cover income and expenses, cash-flow summaries, documents, maintenance coordination, and owner reporting, with AI assistance and human review of financial and operational decisions.

Future roadmap

Integration interest: a Baselane Model Context Protocol (MCP) connector to bring property finances into AI-assisted workflows.
Discuss an integration ↗

Studio leadership

Steven Kaplan

Founder & product builder

Connect on LinkedIn ↗

Oblique Research develops and tests applied AI in real environments, from software interfaces to connected devices and physical robots.

Founded by Steven Kaplan, whose background spans Microsoft, LinkedIn, Salesforce, and Audible, the studio combines product experience with hands-on development, integration, and evaluation.

Projects begin with a recurring task in a real setting. Working systems are evaluated through daily use; prototypes and simulation make the next steps testable before wider deployment.

AI-assisted development with Claude Code and OpenAI Codex. Product direction, integration, and validation by Steven Kaplan.