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AI6 LABS
[ INITIATE PILOT ]

> // THE INTENT INTERFACE LAYER

AI acts.
It still doesn't know
what you meant.

Current AI systems rely on vision, voice, and touch. They wait to capture what users express. AI6 Labs builds the infrastructure to capture what users intend—before action occurs.

Backed by the proprietary signal data and deployed hardware of Wearable Devices Ltd. (Nasdaq: WLDS).

[ DIAGNOSE YOUR SYSTEM BOTTLENECK ]
LATENCY
< 1ms
FIDELITY
10-bit
UPTIME
99.97%
SECTION_01::THE_DIAGNOSTIC/ STATUS: LIVE

> // THE GAP: EXPRESSION ≠ INTENT

You're shipping a robot, a headset, or a zero-trust system.
And the signal is on the floor.

Vision relies on line-of-sight. Voice relies on syntax. Touch relies on physical proximity. These are reactive inputs — they tell you what already happened. The sim-to-real gap, the controller-shaped friction in XR, the spoofable biometric: they all share one root cause. You're inferring intent from expression, instead of capturing it directly.

[ BOTTLENECK 01: ROBOTICS / IMITATION LEARNING ]

Vision-only manipulation plateaus at the last inch. Force, tension, and tendon dynamics are invisible to RGB — and the ground truth doesn't survive the sim-to-real gap.

SEVERITYCRITICAL
[ BOTTLENECK 02: AUTONOMOUS AGENTS ]

Reactive systems wait for the action to complete before they can model it. By then the intent vector is gone and you're already late.

SEVERITYCRITICAL
[ BOTTLENECK 03: SPATIAL COMPUTING / XR ]

Headsets ship with controllers because hand-tracking can't see what's outside the field of view. The interface stays bound to physical accessories you swore you'd remove.

SEVERITYCRITICAL
SECTION_02::PLATFORM_CAPABILITIES/ STATUS: LIVE

> // PLATFORM CAPABILITIES : THE 3 VECTORS

Multimodal Signal Execution.

~ /vector_01.term ACTIVE
SENSOR FUSION & INFRASTRUCTURE

Hardware-Grounded Telemetry

We do not build pipelines on synthetic assumptions. Leveraging the commercial deployment expertise from Wearable Devices Ltd., we fuse neuromuscular (EMG), spatial, and physiological data streams into a unified, actionable signal. This is the hardware-to-software foundation required to deploy physical AI into the real world.

  • >
    Production-grade sensor integration
    Shipped Mudra wristband telemetry, not lab rigs.
  • >
    Sub-millisecond processing
    EMG to actionable intent in under 1ms end-to-end.
  • >
    Multimodal fusion
    Neuromuscular, spatial, and physiological streams unified at 2kHz.
~ /vector_02.term ACTIVE
EMBODIED AI & ROBOTICS

Intent-Driven Kinematic Teaching

Vision models fail at force, tension, and subtle manipulation. To train robots, you must capture the invisible human mechanics driving the action. We map pre-motion intent and tendon dynamics during real-world interactions. This generates the exact neuromuscular ground truth required for high-fidelity teleoperation and imitation learning.

  • >
    Force-aware telemetry
    Grip pressure and tendon dynamics captured directly, not estimated from video.
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    Pre-motion teleoperation
    Intent resolved T-12ms before the hand moves — the window that closes the sim-to-real gap.
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    Imitation-learning ground truth
    10K+ hours of paired neuromuscular and motion data for foundation models.
~ /vector_03.term ACTIVE
NEURAL SECURITY & IDENTITY

The Biological Human Signature

Visual biometrics and behavioral analytics are easily spoofed by generative AI. Neuromuscular signal patterns are continuous, dynamic, and physically impossible to replicate remotely. We engineer biological intent signatures into zero-trust architectures, providing continuous, sub-dermal authentication that verifies the human behind the action.

  • >
    Continuous liveness
    Sub-dermal signal patterns the user emits while doing anything — not just at login.
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    Spoof-resistant biometrics
    Neuromuscular signatures generative AI cannot reproduce remotely.
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    Session-bound identity
    Verify the human behind every action, not just the credential at the door.
SECTION_03::WHO_THIS_IS_FOR/ STATUS: LIVE

> // VERTICALS : WHERE THE INTENT LAYER SHIPS

One platform.
Four buyer profiles in production.

The same neuromuscular signal stack — already deployed by Wearable Devices Ltd. — solves four distinct bottlenecks. Pick the one closest to what you're shipping and the diagnostic will pre-load your domain.

~ /vertical_01.term LIVE
[ VERTICAL_01: ROBOTICS / IMITATION LEARNING ]

Robotics teams stuck at the last inch — vision plateaus at sub-second manipulation, and tactile training data is scarce.

  • >
    Sim-to-Real Bridge
    Neuromuscular ground truth missing from synthetic datasets.
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    Force-Aware Telemetry
    Grip pressure and tendon load at 2kHz, paired with motion.
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    Pre-Motion Capture
    Intent vector resolved T-12ms before the action — invisible to RGB.
[ DIAGNOSE ROBOTICS BOTTLENECK ]
~ /vertical_02.term LIVE
[ VERTICAL_02: SPATIAL COMPUTING / XR ]

Headset teams designing for frictionless input, still shipping controllers because hand-tracking ends at the field of view.

  • >
    Beyond-FOV Input
    Track tendon dynamics outside the camera's line of sight.
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    Force-Gated Selection
    Physical resistance for click confidence beyond a binary tap.
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    Analog UI Depth
    Map squeeze intensity into continuous control surfaces.
[ DIAGNOSE SPATIAL BOTTLENECK ]
~ /vertical_03.term LIVE
[ VERTICAL_03: INDUSTRIAL / DEFENSE OPERATORS ]

Operators on the floor or in the field who can't drop a tool to give an input — and can't risk an interface that fails in oil, sweat, or EM noise.

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    Industrial-grade reliability
    Signal integrity through contaminants and electrical interference.
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    Hands-free robot guidance
    Direct commands without releasing tools or parts.
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    Safety-protocol triggers
    Detect high-tension hand profiles to fire emergency stops.
[ DIAGNOSE INDUSTRIAL BOTTLENECK ]
~ /vertical_04.term LIVE
[ VERTICAL_04: NEURAL AUTHENTICATION / SECURITY ]

Zero-trust architects who know voiceprints and behavioral biometrics are now spoofable by generative AI.

  • >
    Continuous Liveness
    Neuromuscular signatures that can't be replayed or generated.
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    Sub-Dermal Biometrics
    Physically unreplicable signal patterns under the skin.
  • >
    Session-Bound Identity
    Verify the human behind every action, not just the login.
[ DIAGNOSE AUTH BOTTLENECK ]
SECTION_04::AGENT_CONSOLE/ STATUS: LIVE

> // INTERACTIVE INTAKE :: SKILLS / MCP / AGENT

Run a 30-second diagnostic.
No form. Just the agent.

A deterministic intake agent. Pick your domain, pin the bottleneck, transmit. The session is routed directly to engineering — no marketing loop, no autoresponder.

~ /ai6labs/intake.sh
select domain chip to begin  ·  /reset to restart sessionREVIEWED_BY_ENGINEERING
SECTION_05::INFRASTRUCTURE_PROOF/ STATUS: LIVE

> // INFRASTRUCTURE: NOT SYNTHETIC.

We build the execution pipeline.
Grounded in reality.

Most companies working on neural input are trapped in controlled laboratory environments. We are operating in markets. AI6 Labs provides access to production-validated signal datasets and a hardware-to-SDK stack that compresses development cycles from years to weeks.

DEPLOYED_UNITS
PRODUCTION
DATASET_HOURS
10K+
SDK_VERSION
v3.1.0
PARENT_ENTITY
WLDS
Macro photograph of a neural sensor wristband used in engineering context
EMG_CH_01 :: 0.42mVSPL_RATE :: 2kHz
SUBJECT // PRE-MOTIONT-12ms
SECTION_06::ENGAGEMENT_PROTOCOL/ STATUS: LIVE

> // ENGAGEMENT PROTOCOL

Stop simulating.
Start capturing.

This is not a consulting agency. We partner with engineering teams building physical AI, robotics, and spatial systems who are hitting the limits of simulation data. Tell us the exact precision, responsiveness, or training bottleneck your system is failing to overcome. We will provide a direct, technical assessment of whether our signal infrastructure can solve it.

RESPONSE_SLA< 72h
NDAAVAILABLE
REVIEWED_BYENGINEERING
~ /ai6labs/pilot/intake.sh
●SECURE_TUNNEL
SECTION_07::ARCHIVE_&_TRANSMISSIONS/ STATUS: STAGING

> // ARCHIVE : ARTICLES / PROJECTS / IDEAS / DATASETS / WHITE PAPERS

Reserved channels.
Payload pending.

This is a staging registry for forthcoming research, reference implementations, and open datasets. No documents are published yet. Mark a channel to be notified when its first transmission is broadcast.

~ /archive/white_paper/WP-001RESERVED
[ WHITE PAPER :: WP-001 ]

Neuromuscular Ground Truth for Imitation Learning

Methodology for capturing pre-motion intent as training signal for high-fidelity teleoperation.

WLDS_RESEARCH / 24pDOC :: NULL
~ /archive/dataset/DS-014RESERVED
[ DATASET :: DS-014 ]

EMG_FORCE_v3 — Manipulation Telemetry

Production-validated neuromuscular signal corpus paired with object-interaction force vectors.

10K+ HOURS / MULTICHANNELDOC :: NULL
~ /archive/article/ART-007DRAFT
[ ARTICLE :: ART-007 ]

Why Vision-Only Robotics Plateau at the Last Inch

A diagnostic on why inference from vision fails at sub-second manipulation timing.

ENGINEERING_NOTEDOC :: NULL
~ /archive/project/PRJ-022QUEUED
[ PROJECT :: PRJ-022 ]

Continuous Authentication Reference Stack

Open reference design for embedding biological intent signatures into zero-trust pipelines.

REF_IMPLEMENTATIONDOC :: NULL
~ /archive/idea/IDEA-031QUEUED
[ IDEA :: IDEA-031 ]

Pre-Motion Cursor for Spatial Computing

Proposal for a frictionless pointing primitive driven by intent signal rather than hand pose.

RFC / OPENDOC :: NULL
~ /archive/open_slot/SLOT-∅QUEUED
[ OPEN SLOT :: SLOT-∅ ]

Reserved Transmission Channel

Future article, dataset, or RFC. Express interest to receive the first transmission.

AWAITING_PAYLOADDOC :: NULL

> // CAPTURE INTEREST

Subscribe to the transmission queue.

No newsletter. No marketing. You receive a single signed dispatch when a selected channel publishes its first payload — white paper, dataset, or reference project.

FREQUENCYEVENT_BASED
UNSUBSCRIBEONE_CLICK
TARGET_AUDIENCEENGINEERING
~ /ai6labs/archive/subscribe.sh QUEUE_OPEN

[ PARAM: CHANNELS_OF_INTEREST ]