Since 2019, we’ve specialised in creative tech. While most companies are still running AI-based pilots, we are seeing the shift to production begin. We understand the specific challenges each area faces – from technical constraints to creative workflows. We connect companies with the professionals and leaders ready to lead this transformation.
Creative and production companies need professionals who understand both AI implementation and visitor experience. Finding talent who’ve actually deployed these systems in live environments remains the core challenge.
The Reality: AI in experiential requires creative vision backed by quantitative proof. Generative AI creating projection mapping content that responds to audience movement. ML models predicting visitor flow through installations. Product managers shipping experiences that work for 10 or 10,000 people simultaneously. Data scientists measuring engagement beyond footfall – dwell time, interaction depth, social amplification.
Our Network: Creative Directors who’ve integrated AI into major brand activations. Technical Directors running AI systems in theme parks and museums. Product leads who’ve taken interactive installations from concept to launch. ML engineers building real-time responsive environments. Data Scientists who can prove ROI through behavioural analytics, not assumptions. They understand the difference between a tech demo and a repeatable experience.
What Works: The talent we know has built visitor prediction models that actually work. Automated content systems that don’t feel automated. Product roadmaps that ship on opening night. They understand scale – from pop-up activations to permanent installations. Budget reality – from startup prototypes to enterprise deployments.
For Professionals: If you’re implementing AI in experiential – whether optimising visitor journeys through data science, building ML-powered interactive systems, or managing product delivery for immersive experiences – we understand your value. We connect you with companies moving from experimental installations to scalable, data-informed experiences.
Agencies and brands require professionals who strike a balance between AI efficiency and creative excellence. The challenge: finding talent who’ve built AI systems that deliver both scale and quality for commercial content.
The Reality: AI in advertising isn’t just about generating more content – it’s about intelligence that understands brand impact. ML models predicting creative performance before campaigns launch. Data scientists identifying which visual elements drive conversion. Product managers shipping AI tools that creatives actually adopt. Automated workflows that maintain brand consistency across thousands of variations. All while proving ROI through attribution models that connect creative decisions to business outcomes.
Our Network: Creative Directors who use AI without losing creative control. ML Engineers building systems that generate brand-compliant variations at scale. Data Scientists connecting creative elements to performance metrics – which colour palettes convert, which narratives resonate. Product leads who’ve launched AI creative tools from beta to agency-wide adoption. Engineers automating production workflows while preserving craft. Strategists using predictive models to forecast campaign performance.
What Works: The professionals we know have built AI that enhances creativity, not replaces it. Generative systems that respect brand guidelines. ML models trained on performance data, not assumptions. Automated workflows that free creatives from versioning hell. They understand the tension between efficiency and excellence, between data-driven and intuition-led. They’ve shipped campaigns where AI improved both speed and effectiveness.
For Professionals: If you’re implementing AI in advertising – whether building ML models that predict creative performance, managing products that automate production, analysing data to optimise content, or developing AI tools creatives trust – we understand your value. We connect you with agencies and brands ready to scale intelligently.
VFX and animation studios need professionals who enhance artistic workflows with AI-powered tools without compromising creative control. The challenge: finding talent who’ve integrated machine learning into high-end VFX production and animation pipelines while maintaining visual storytelling quality.
The Reality: AI in VFX and animation demands specific expertise. Implementing AI tools for rotoscoping automation and character rigging workflows. Managing AI-generated CG assets and digital creatures at feature film quality. Building machine learning pipelines for compositing workflows and 3D animation production. All while meeting tight VFX deadlines for photorealistic visual effects and stylised animation sequences.
Our Network: VFX Supervisors experienced with AI-enhanced compositing pipelines who still review shots. Animation Directors implementing machine learning for character animation and motion capture cleanup. Pipeline TDs developing AI tools for render optimistion and automated VFX workflows. Technical Artists building solutions for both Nuke compositing and Maya animation pipelines. Our network encompasses major VFX studios, animation houses, and post-production facilities, pioneering the integration of AI.
What Works: The professionals we connect you with understand both VFX artistry and animation craft. They’ve implemented AI for rotoscoping automation, texture generation, and facial animation systems. They know how to introduce machine learning tools to senior artists, scale AI across multiple VFX shots, and accelerate animation production pipelines without sacrificing the quality that defines premium visual effects and animated content.
For Professionals: If you’re implementing AI in VFX and animation production – from automated rotoscoping tools to machine learning for character animation – we understand your expertise. We connect you with VFX studios, animation companies, and post-production houses ready to scale AI-enhanced creative workflows.
Virtual production studios need professionals who understand how AI enhances real-time rendering and in-camera VFX, not just traditional post-production. The challenge: finding talent who’ve implemented AI systems for LED volume optimisation, virtual set extensions, and live production workflows.
The Reality: AI in virtual production demands specific expertise. Building machine learning systems for real-time environment generation and photorealistic rendering. Implementing AI-powered colour calibration for LED walls and virtual set lighting. Creating automated workflows for virtual production pipelines that assist cinematographers and VFX supervisors. All while maintaining the speed and creative control that in-camera visual effects require.
Our Network: VPs of Technology, architecting AI-enhanced virtual production pipelines who troubleshoot on set. Technical Supervisors manage LED volume teams while optimising real-time rendering systems. Engineers implementing machine learning for Unreal Engine environments and virtual set design. Specialists building AI tools for camera tracking and live compositing. Our network spans virtual production facilities, LED stage operators, and studios pioneering AI-powered in-camera VFX.
What Works: The professionals we connect you with understand virtual production workflows and on-set realities. They’ve worked with LED volumes, real-time game engines, and in-camera visual effects. They know how to implement AI for virtual scouting, optimise rendering for live shoots, and enhance virtual production efficiency without disrupting the creative process. Leaders and practitioners who understand both the technology and filmmaking craft.
For Professionals: If you’re implementing AI in virtual production environments – from real-time rendering optimisation to automated camera tracking systems – we understand your expertise. We connect you with virtual production studios, LED stage facilities, and production companies ready to scale AI-enhanced workflows.
Spatial environments demand AI that understands 3D context in real-time. Companies building AR/VR need professionals who can implement machine learning where milliseconds matter.
The Reality: AI in spatial computing isn’t about the headset – it’s about intelligence that processes spatial data. Neural networks for real-time object recognition in AR. Machine learning models predicting user intent from gesture and gaze. Computer vision systems that maintain tracking while understanding scene semantics. Data pipelines processing 3D point clouds at scale.
Our Network: ML Engineers optimising inference for mobile AR – where every millisecond counts. Computer Vision specialists building SLAM systems enhanced with deep learning. Data Scientists training models on spatial datasets – depth maps, point clouds, volumetric captures. AI Product Managers who understand both spatial computing constraints and ML capabilities. Engineers implementing transformer models for 3D scene understanding.
What Works: The professionals we know solve AI problems unique to spatial computing. Real-time pose estimation using CNNs. Semantic segmentation of 3D environments. Predictive models for user interaction in 3D space. They understand why standard computer vision fails in AR, why latency kills presence, and how to optimise neural networks for edge deployment.
For Professionals: If you’re implementing AI specifically for spatial computing – training models on 3D data, optimising ML for AR constraints, or building AI that understands spatial context – we recognise your specialised expertise. We connect you with companies where spatial AI is the differentiator, not the display technology.
Broadcasters and streaming platforms need professionals who understand AI-enhanced production workflows for episodic and long-form content. The challenge: finding talent who can integrate AI into traditional production while maintaining editorial standards and platform requirements.
The Reality: AI in broadcast and streaming demands specific expertise. Implementing AI tools for editing episodic series and documentary content. Managing automated workflows for multi-platform delivery and versioning. Building production pipelines that handle volume while maintaining quality standards. All while meeting strict broadcast regulations and platform specifications.
Our Network: Heads of Production using AI to manage high-volume content schedules. Post-production Supervisors implementing AI tools for faster turnarounds on series work. Technical Directors building automated workflows for streaming platform delivery. Engineers developing AI solutions for subtitle generation, compliance editing, and content localisation. Our network spans major broadcasters, streaming services, and production companies delivering episodic content.
What Works: The professionals we connect you with understand the realities of broadcast and streaming production. They know how to implement AI for daily content delivery, manage automated QC processes, and scale post-production across multiple series. They’ve proven AI can accelerate production schedules without compromising editorial standards or compliance requirements.
For Professionals: If you’re working with AI in broadcast and streaming production – from automated editing workflows to content delivery systems – we understand your expertise. We connect you with broadcasters, streaming platforms and production companies ready to scale AI across their content operations.
