WriteUp is an AI-powered platform that screens for handwriting-related learning difficulties and delivers multisensory intervention support for children who may be at risk of dysgraphia. Built in the UK. Patent pending.
Millions of children across the UK struggle with handwriting, but the signs are often missed until the impact on learning is severe. Traditional assessment methods focus on what the writing looks like — not the motor processes behind it.
Traditional handwriting assessment relies on visual inspection of finished text. This misses the critical neuromotor data embedded in how a child writes — the pressure, velocity, rhythm and proprioceptive signals that reveal the true nature of the difficulty.
WriteUp is an advanced screening and developmental guidance system. It does not diagnose medical conditions. Instead, it identifies motor and writing risk patterns early and provides targeted motor-cognitive training.
Built on the understanding that handwriting is not merely a visual academic skill but a complex neuromotor process involving timing, proprioception, motor planning, rhythm regulation and sensory integration — WriteUp analyses the underlying motor execution, not just the visible outcome.
Captures pen pressure, velocity, acceleration, tilt, stroke sequence and air time to build a unique motor identity for every child.
Establishes how each child senses hand position in space, isolating whether difficulties are visual-motor, proprioceptive, or both.
Real-time vibration and audio cues that help the child's nervous system learn correct motor execution through conditioned sensory reinforcement.
Structured beats guide stroke formation, improving temporal stability and motor fluency — writing becomes a rhythmic, musical sequence.
Continuous developmental monitoring shows measurable progress trajectories, not isolated snapshots.
From first calibration to personalised intervention — here's how WriteUp transforms handwriting support.
The child begins with an interactive calibration game using a stylus-enabled tablet. They trace shapes while the screen gradually reduces visual clarity. WriteUp measures how stroke accuracy, pressure stability and spatial consistency change as visual feedback diminishes. This establishes whether writing challenges are visual-motor dependent, proprioceptive in origin, or a combination of both.
As the child writes and traces using the stylus, WriteUp captures high-resolution handwriting kinematics in real time: pen pressure curves, velocity profiles, acceleration and deceleration patterns, pen tilt angles, stroke sequencing and the air time between strokes. These micro-movements form a dynamic neuromotor profile — a living motor identity unique to each child.
WriteUp's AI engine analyses multidimensional indicators: irregular letter formation, spacing variability, pressure instability, stroke sequence inconsistency, rhythm disruption, fatigue-related performance changes and orthographic recall patterns. The system generates structured screening reports that classify risk levels and highlight patterns warranting further professional evaluation. WriteUp does not provide a medical diagnosis — it is a screening and support tool.
Every writing movement produces immediate sensory feedback. Smooth, accurate strokes trigger harmonious vibration patterns and coherent audio tones. Excessive pressure or deviation produces subtle resistance vibrations and mild dissonant cues. Over time, the child's nervous system begins to associate correct motor execution with positive sensory feedback — promoting subconscious self-correction without constant verbal instruction. This approach borrows from biofeedback therapy used in motor rehabilitation.
WriteUp treats handwriting partly as a rhythm regulation challenge. Structured beats guide stroke formation — slower beats support precision and control, moderate tempos encourage fluidity, and faster rhythmic cycles train controlled speed. Each letter can be associated with its own rhythmic pattern, helping the child internalise consistent motor timing. The child effectively learns to write as if performing a structured musical sequence.
Following screening, WriteUp generates personalised intervention pathways targeting specific motor weaknesses — pressure control, stroke direction consistency, rhythm regulation, spacing calibration or orthographic recall stability. Longitudinal tracking enables measurable improvement trajectories. Parents and educators receive visualised reports showing developmental trends, improvement areas and indicators that may suggest the need for specialist assessment.
Six interconnected technologies working together to reframe handwriting as a measurable neuromotor intelligence process.
Every child's unique motor signature — capturing not just what they write, but exactly how they execute each stroke. High-resolution kinematic data including pressure, velocity, acceleration, tilt and temporal patterns creates a living motor identity that evolves over time.
A structured calibration process determines how each child senses hand position and movement in space, isolating visual-motor and proprioceptive contributions to writing difficulty. This ensures exercises are precisely tailored rather than generic.
Borrowing from motor rehabilitation biofeedback therapy, the system delivers real-time haptic and audio feedback that conditions the nervous system to associate correct motor execution with positive sensory responses — driving subconscious self-correction.
Structured musical tempos guide stroke formation, synchronising writing movements with rhythmic cues to strengthen motor coordination, temporal stability and fluency — reducing erratic stroke behaviour through neural timing reinforcement.
Machine learning models analyse multidimensional motor indicators — letter formation, spacing, pressure stability, stroke sequencing, rhythm disruption and fatigue patterns — to classify risk levels and generate actionable screening insights.
Narrative-driven tracing and contextual writing activities maintain engagement while simultaneously capturing detailed performance metrics. Engagement and analytics operate as one — every interaction strengthens the child's neuromotor profile.
WriteUp is built for the people who care most about children's development.
Get early screening insight into your child's handwriting development. Understand risk patterns, track progress at home, and make informed decisions about seeking specialist support.
Scalable handwriting risk identification across entire year groups. Equip SEN coordinators and classroom teachers with structured motor analytics and evidence-based intervention tools.
Incorporate structured motor analytics into occupational therapy and handwriting therapy planning. Access detailed kinematic data to supplement clinical assessment and track treatment progress.
Access large-scale handwriting kinematic datasets for studying motor development, dysgraphia indicators and the efficacy of multisensory intervention approaches across diverse populations.
Two core inventions underpinning the WriteUp platform have been formally filed as patent applications with the UK Intellectual Property Office.
A novel system for capturing, modelling and longitudinally tracking a child's unique motor signature through high-resolution handwriting kinematics — creating a dynamic neuromotor identity that evolves over time and enables early identification of persistent irregularities.
An integrated system that delivers real-time haptic and audio feedback in response to handwriting motor execution, conditioning the nervous system to associate correct motor patterns with positive sensory responses — driving subconscious self-correction and motor refinement.
WriteUp is actively progressing through development and validation stages.
Comprehensive UK market research completed, validating demand for advanced handwriting screening tools among parents, educators and clinicians.
Both core inventions — the Neuromotor Fingerprinting Architecture and the Closed-Loop Multisensory Biofeedback Engine — formally filed with the UKIPO.
The minimum viable product has been built, incorporating core screening, biofeedback, rhythm training and neuromotor profiling capabilities.
Structured testing of the MVP has been completed, generating performance data and insights for refinement ahead of broader deployment.
Application submitted to the UK Innovation Service, supporting the platform's development pathway and strategic growth planning.
Application submitted for regulatory assistance through the HealthTech Enterprise programme, supporting compliance and quality assurance in the UK.
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