Poor data quality is the most underestimated bottleneck in model performance. Inconsistent labels, class imbalance, and domain drift don’t just degrade accuracy, they create technical debt that becomes exponentially more expensive to fix the further it travels through your pipeline. Solve for data quality now, or pay for it later.
We help organisations build reliable labelled datasets through annotation specialists whose cognitive strengths are precisely matched to what the work demands.
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Precise labelling for computer vision systems.
Frame-by-frame annotation for dynamic environments.
Training data for NLP, search and LLM systems.
3D point cloud labelling for autonomous and spatial AI.
• 3D bounding boxes
• Point cloud segmentation
• Lane and road marking
• Object classification
Review and cleaning of audio datasets and support for speech and voice AI systems.
For AI systems combining image, text, audio and video inputs.
Auditing and improving existing datasets by identifying errors, duplicates, and bias, and ensuring they are accurate, diverse, complete, and representative of the edge cases in real-world use.
Developing and training LLM agents to transform complex, unstructured information into actionable data.
Our teams include neurodivergent professionals, all of whom are autistic, bringing strengths that are critical in annotation work: identifying anomalies, recognising patterns in complex systems, maintaining focus over time, and applying structured processes with consistency and precision. This results in high quality training data delivered first time, reducing the total cost of ownership by avoiding expensive retraining cycles.
300+ global clients across diverse technology domains, including significant experience in critical infrastructure. The stability and credibility to handle complex international projects.
Our workforce consists of 350+ autistic consultants, operating across 13 countries worldwide, we have the infrastructure to scale projects across borders, while keeping data within required jurisdictions.
Our autistic technologists bring strengths in pattern recognition, focus and consistency, helping detect what others overlook in complex systems and data.
We identify inconsistencies, edge cases and hidden issues early, improving system behaviour in production and reducing costly rework.
Every engagement creates skilled employment for autistic professionals. Social responsibility and technical performance are mutually reinforcing, supporting CSRD and social return requirements without compromising on quality.
AI systems depend on high-quality data. For nuance and edge cases, human judgement remains essential, something automated tools alone often miss, but a human-in-the-loop approach can catch.
auticon’s annotators bring the precision, focus and consistency this work demands, improving dataset quality and strengthening AI performance from the start.
Full audit trails and data lineage documentation are built into how we work.
Ideal for defined annotation projects such as image labelling, text classification, dataset validation or model evaluation.
Ongoing annotation capacity for recurring datasets, changing taxonomies and continuous human-in-the-loop review.
Annotation specialists integrated into your workflows, tools and review processes when you need extra expertise or capacity.
From secure delivery models to global scale, we help enterprise teams run complex annotation programmes with the structure, flexibility and trust required for long-term success.
Accurately labelled, consistently applied, and reviewed at every stage. The quality of your training data directly determines how well your model performs, and how much rework you avoid downstream.
Labelling errors compound. A mislabelled edge case in your training set becomes a misclassification in production. Our annotators catch ambiguity rather than guess at it, which reduces the errors that trigger costly retraining.
The standard applied on the first batch holds on the hundredth. Whether you’re labelling 10,000 images or 10 million text samples, quality doesn’t degrade as volume increases.
Our annotators rapidly master new domains. Because of their loyalty to the client and the project, that knowledge stays embedded in the work over time.
Data protection, information security and sector-specific requirements are built into how we work, with clear protocols, secure processes and confidentiality agreements in place.
High quality annotation is not only about speed or scale, it is about noticing what others overlook. Different cognitive perspectives can improve consistency, identify ambiguity earlier and detect edge cases that may otherwise be missed.
We call this Edge Thinking.
The advantage created when different cognitive approaches come together to solve problems.
In data annotation, that can mean stronger datasets, more reliable models and better AI performance.
We’re the world’s largest majority-autistic company. Our teams include autistic IT consultants who bring strengths in pattern recognition, focus and attention to detail. This leads to improved detection of edge cases, inconsistencies and risks in complex systems, resulting in more reliable outcomes.
Text, images, audio, and video, including classification, entity labelling, object detection, segmentation, 3D-images, bounding boxes, sentiment, transcription, and temporal event labelling.
Every project has built-in QA: review cycles, inter-annotator agreement measurement, and edge case protocols. Our annotators’ natural precision means quality starts high, the process keeps it there.
Yes. We work with organisations where security, confidentiality and controlled access are essential, with delivery models designed for enterprise requirements.
We can support pilot projects, dedicated teams and managed delivery models depending on dataset volume, complexity and timelines.
Yes. We support workflows where human judgement is needed to review outputs, resolve ambiguity, improve training data quality and maintain trust in AI systems.
Yes. We can work within your existing frameworks or help refine taxonomies, instructions and quality processes where needed.
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