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%
[ CH_01 / LIVE ]
REC
SECTION_01::THE_DIAGNOSTIC/ STATUS: LIVE

> // THE GAP: EXPRESSION ≠ INTENT

You are training models on lagging indicators.

Vision relies on line-of-sight. Voice relies on syntax. Touch relies on physical proximity. These are reactive inputs. If your system relies on inference-based input, you are intentionally introducing ambiguity and latency into critical moments.

[ BOTTLENECK 01: ROBOTICS ]

Without intent signals, robotic manipulation relies on visual guessing for force and timing.

SEVERITYCRITICAL
[ BOTTLENECK 02: AUTONOMOUS AGENTS ]

Reactive systems wait for completed actions instead of anticipating them, creating sub-optimal loop times.

SEVERITYCRITICAL
[ BOTTLENECK 03: SPATIAL COMPUTING ]

Hardware controllers create physical friction in environments designed to be frictionless.

SEVERITYCRITICAL
SECTION_02::PLATFORM_CAPABILITIES/ STATUS: LIVE

> // PLATFORM CAPABILITIES : THE 3 VECTORS

Multimodal Signal Execution.

~ /vector_01.term ACTIVE
[ VECTOR 01 : 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.

  • >[ LAYER: Commercial-grade sensor integration ]
  • >[ LAYER: Sub-millisecond signal processing ]
  • >[ LAYER: Multimodal environmental fusion ]
~ /vector_02.term ACTIVE
[ VECTOR 02 : 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.

  • >[ OUTPUT: Force & tension estimation ]
  • >[ OUTPUT: Zero-latency teleoperation ]
  • >[ OUTPUT: High-fidelity imitation learning datasets ]
~ /vector_03.term ACTIVE
[ VECTOR 03 : 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.

  • >[ PROTOCOL: Liveness detection verification ]
  • >[ PROTOCOL: Continuous neuromuscular authentication ]
  • >[ PROTOCOL: Spoof-proof biometric identity ]
SECTION_03::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.shSECURE_TUNNEL
CONTEXT_WINDOW/ live
$ cat session.json
{
  "status": "acquiring_signal",
  "domain": null,
  "bottleneck": null,
  "email": null
}
SKILLS_LOADEDintent.diagnose / lead.route / brief.build
MCP_PROTOCOLSwlds.telemetry · pilot.intake
RUNTIMEdeterministic
LATENCY0ms

// SESSION_LOGGED :: TRANSCRIPT STORED FOR ROUTING ONLY.
// NO MARKETING DISPATCH. ONE-CLICK UNSUBSCRIBE.

SECTION_04::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_05::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_06::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 ]