Industrivägen 19, 171 48 Solna, Sweden

info@sarvai.com

At SarvAI, we reduce costs and knowledge to engage Computer Vision

and Machine Learning in all industries.

© Copyright 2018     SarvAI AB.  All rights reserved.

  • Grey Facebook Icon
  • Grey Twitter Icon
  • Grey G+ Icon

IN 2022, MOST PICTURES CAPTURED WILL NOT BE SEEN BY HUMANS

SarvAI Computer Vision allows cameras to identify and separate objects from their context. When coupled with AI, surveillance systems are able to understand what they see in real time, collect data and eventually react.

 
 
KEY FEATURES

Our platform enables dynamic and real-time analysis of data feeds coming from different cameras, various image sources and sensors. We currently use our product in Quality Inspection, Analytics, Security and Work Safety, and we fit well into any Smart Manufacturing (Industry 4.0) and Machine Vision deployment.

 

Our api consists of a Cloud Computing backend, an AI-based Hybrid Edge & Cloud* Architecture and an Interactive Computer Vision Toolkit, for pre-trained or customized data-models.  *Patent Pending

REAL TIME


Real time analysis allows immediate awareness and fast responses to events

EASE OF USE

No coding knowledge is required for customization with our drag and drop design tool

STABLE

Our system runs 24h a day, every day, at full efficiency, and reduces interpretation mistakes

CUSTOMISABLE

We tailor our system inputs, alarms, algorithms and responses to fit your industry specific needs

SCALABLE

We can adapt to any platform size, scale up the feeds and increase the analyzing capacity as it grows

RETROFIT

We transform existing ip-camera networks into modern premium AI-enabled solution with real time analytics

CLOUD + EDGE

We provide cloud + edge hybrid solutions to minimize data load and latency, and can also set up on local clouds for security purposes

COST EFFECTIVE

Our system save hours of manpower, requires little supervision, can be installed on top of existing equipment, and can be easily modified to suit new sizes, locations or requirements

WHAT WE SEE?

Our algorithms have the potential to transform any passive live video feed into a proactive platform. We teach surveillance networks to recognize, track, ignore, highlight, count, warn... visual items seen on a video feed. The system is then able to take decisions and learn from your inputs.

 

PEOPLE

RECOGNITION

Track and recognize people, follow groups, identify and locate trespassers on different feeds

FACIAL

RECOGNITION

Zoom in to identify pieces of clothing, colours, wearables, safety equipments...

DETAILS

DETECTION

Our system can identify objects or defects on a product, with high accuracy and instant response

ANIMAL

RECOGNITION

We are not limited to humans, and can configure the system to ignore or follow any living being.

 
CASE STUDIES

We are a Stockholm based startup with expertise in Machine Learning, Deep Learning, Computer Vision, Cloud Computing and High Performance Computing. Our team of Machine Trainers can provide unique, robust and scalable solutions. Our goal at SarvAI is to make deep neural networks and computer vision accessible to all industries.

Public Transport, Commuting & Railways

FROM REACTIVE

TO PROACTIVE

Public transport use cameras for passengers and staff safety, but they are primarily focused on collecting evidence after an event rather than allowing quick action.

With SarvAI, each camera can detect a problem, identify urgency level, communicate with each other and warn the response team, passengers or the driver in a very short time.

Deploying a team on site is costly and manpower is precious, it needs to be done only when a real situation arises. SarvAI allows safety operators to develop new rules and exceptions and get the AI to filter events, to only highlight the ones that need human intervention.

 
THE TEAM

Our team grows every day, enriched with passionate individuals from different expertise areas who all bring their various experiences and vast know-how to fortify our projects. They are also very knowledgeable and totally worth having over a coffee/tea to pick their brain!

Dr. Heydar Maboudi Afkham
Co-Founder / Chief Executive Officer
Chief Technical Officer

Chief AI data pipeline architect, chief problem solver and expert computer vision, deep neural networks and AI analyst. Holds a Postdoc in computer vision and applied xyz from KTH with post doc from Stockholm University.

Maria Lindström
VP Business Development and Sales

Expertise of converting customer and market insights driven pain points, to data driven-models that leverage business value. Serial tech entrepreneur. Holds a Msc from Stockholm University, Fellow from CTMH/KI/KTH

Marcus Boström
Chief Operating Officer

Digital expert, with strong customer driven acumen, with focus of getting things done. Serial tech entrepreneur. Holds Msc Stockholm School of Economics.

Oskar Juhlin
Human-Computer Interaction Expert

A professor at the Department of Computer and systems scíences at Stockholm University, a founder of the Swedish research-industrial network digitizingfashion.com. He has worked in many fields related to the sociology of computing, related to the design of mobile applications for people on the road.

Omid Ashrafi
Human-Computer Interaction Expert

orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

 
EXPLORE WITH US
  • If you are curious about the potential and the possible applications of these new technologies, and would like to know more.

  • If you already have  a surveillance system and would like to multiply its efficiency with real-time, 24/7 response

  • If you have a crazy idea for a business that we could develop jointly

 

      Let’s meet up and we will build things together.

Industrivägen 19, 171 48 Solna, Sweden

+46 8 790 60 00