Get full visibility into how work is actually done. Procederai turns real-world tasks into dynamic, visual procedures — so your team can execute better, faster, and with fewer errors.

Map your shopfloor and make operations flow

Get full visibility into how work is actually done. Procederai turns real-world tasks into dynamic, visual procedures — so your team can execute better, faster, and with fewer errors.

Map your shopfloor and make operations flow

Vision Intelligence models for Your Business Needs

Map Operating Procedures

Store your physical procedures in seconds. Collect knowledge in one place, making it smooth and interactive.

Unstructured to structured

Upload any format: video, text, audio. Our platform will turn it into a structured format, readable by anyone

Boost training and onboarding

Boost training & onboarding

Boost training and onboarding

Give your workers access to procedures in seconds, reducing training times and increasing learning effectiveness

The ultimate way to collect and learn tasks

Procedo can capture physical procedures in multimodal ways, guiding workers on any task, anytime

Our algorithm can learn and store physical procedures in multimodal ways, guiding workers on any task while seeing what is happening

Add a new procedure

You can upload just one video. Our algorithm will help you structure the procedure in various formats

Add a new procedure

You can upload just one video. Our algorithm will help you structure the procedure in various formats

View Stored Procedures

Workers can visualize stored procedures in multimodal ways, from textual to illustrative

View Stored Procedures

Workers can visualize stored procedures in multimodal ways, from textual to illustrative

Interact with procedures

Ask for the information you need. You will get both visual and written output to learn instantly

Interact with procedures

Ask for the information you need. You will get both visual and written output to learn instantly

Powered by Research

Compositional Entailment Learning for Hyperbolic Vision-Language Models

HyCoCLIP further captures the intrinsic relationships between objects within an image and the corresponding words in a sentence, pushing the boundaries of vision-language learning.

Learn More

PREGO: Online mistake detection in
PRocedural EGOcentric videos

Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen.

Learn More

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Novel generative model for video anomaly detection (VAD), which assumes that both normality and abnormality are multimodal.

Learn More

Get full visibility into how work is actually done. Procederai turns real-world tasks into dynamic, visual procedures — so your team can execute better, faster, and with fewer errors.

Map your shopfloor and make operations flow

Get full visibility into how work is actually done. Procederai turns real-world tasks into dynamic, visual procedures — so your team can execute better, faster, and with fewer errors.

Map your shopfloor and make operations flow

Map Operating Procedures

Map Operating Procedures

Map Operating Procedures

Unstructured to structured

Unstructured to structured

Unstructured to structured

Boost training and onboarding

Boost training & onboarding

Boost training and onboarding

The ultimate way to collect and learn tasks

The ultimate way to collect and learn tasks

Add a new procedure

Add a new procedure

View Stored Procedures

View Stored Procedures

Interact with procedures

Interact with procedures

Powered by Research

Powered by Research

Compositional Entailment Learning for Hyperbolic Vision-Language Models

Compositional Entailment Learning for Hyperbolic Vision-Language Models

Compositional Entailment Learning for Hyperbolic Vision-Language Models

HyCoCLIP further captures the intrinsic relationships between objects within an image and the corresponding words in a sentence, pushing the boundaries of vision-language learning.

PREGO: Online mistake detection in
PRocedural EGOcentric videos

PREGO: Online mistake detection in
PRocedural EGOcentric videos

PREGO: Online mistake detection in
PRocedural EGOcentric videos

Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen.

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Novel generative model for video anomaly detection (VAD), which assumes that both normality and abnormality are multimodal.

Supported by

Supported by

Map Operating Procedures

Map Operating Procedures

Map Operating Procedures

Unstructured to structured

Unstructured to structured

Unstructured to structured

Boost training and onboarding

Boost training & onboarding

Boost training and onboarding

The ultimate way to collect and learn tasks

The ultimate way to collect and learn tasks

Add a new procedure

Add a new procedure

View Stored Procedures

View Stored Procedures

Interact with procedures

Interact with procedures

Powered by Research

Powered by Research

Compositional Entailment Learning for Hyperbolic Vision-Language Models

Compositional Entailment Learning for Hyperbolic Vision-Language Models

Compositional Entailment Learning for Hyperbolic Vision-Language Models

HyCoCLIP further captures the intrinsic relationships between objects within an image and the corresponding words in a sentence, pushing the boundaries of vision-language learning.

PREGO: Online mistake detection inPRocedural EGOcentric videos

PREGO: Online mistake detection inPRocedural EGOcentric videos

PREGO: Online mistake detection inPRocedural EGOcentric videos

Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen.

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Novel generative model for video anomaly detection (VAD), which assumes that both normality and abnormality are multimodal.

Supported by

Supported by

PREGO: Online mistake detection in
PRocedural EGOcentric videos

PREGO: Online mistake detection in
PRocedural EGOcentric videos

PREGO: Online mistake detection in
PRocedural EGOcentric videos