Machine Learning 2.0 Companies as of April 16, 2017. Any additions will be marked so with appropriate dates in the list. Thanks for stopping by. Do write to me (amiteshtyagi@gmail.com) in case you see any discrepancy in the list.
AGENTS
Professional Services
Personal Services
- Xiaoice
- Large
- Assistant.ai
- Nestor
- @wesome
- ToyTalk
- Magic
OS Interfaces
AUTONOMOUS SYSTEMS
AIR
GROUND
SEA
INDUSTRIAL
- KIVA Systems
- Fetch Robotics
- Harvest Automation
- Clearpath
- Avidbots
- Energid
- Rethink Robotics
- GreyOrange
- Osaro
ENTERPRISE
SECURITY/ FRAUD
HR/ RECRUITING
SALES
MARKETING
CUSTOMER SUPPORT
INTERNAL INTEL
MARKETING INTEL
PLATFORMS
Research/ Artificial General Intelligence (AGI)
- OpenAI
- Vicarious
- Google DeepMind
- Numenta
- Cycorp
- NNAISense
- Scaled Inference
- Curious
- Geometric Intelligence
Full Stack
Machine Learning
- Dato
- Rapidminer
- Cortical.io
- AYASDI
- Amazon Web Services
- Azure Machine Learning
- Naralogics
- PredictionIO
- Skytree
- bigML
- blueYonder
Industrial IoT
Audio
- Gridspace
- TalkIQ
- Nexidia
- vocaliq (acquired by Apple)
- Nuance
- Expect Labs
- Popup Archive
Vision
DATA ENRICHMENT
INDUSTRIES
ADTECH
AGRICULTURE
FOR GOOD
RETAIL FINANCE
LEGAL
MATERIALS & MFG
HEALTHCARE
- deep genomics
- 3SCAN
- enlitic
- Calico
- Butterfly Network
- Atomwise
- Recombine
- Color
- Metabiota
- Grand Rounds
- Google Life Sciences
- IBM Watson Health
EDUCATION
TRANSPORT & LOGISTICS
INVESTMENT FINANCE
TECH USER TOOLS
Data Science
Machine Learning
- Cortana Analytics
- AlchemyAPI
- glowfi.sh
- IBM Watson Platform
- Anodot
- MonkeyLearn
- HyperScience
- fuzzy.io
- SIGOPT
- OxdataH2O
- SPARKBEYOND
- indico
OPEN SOURCE
The chart above was originally published by Shivon Zilis and was published by O Reilly. While the picture is truly a great contribution to the overall Machine Learning landscape, it is somewhat not user friendly to learn more about all these great companies. This attempt is to fix this problem and give direct links so that anybody can go and look at it. All the images are cut out from the original chart published by Shivon Zilis. It has been a lot of effort to put this together in format above. It is a sincere request to share with proper citation. Its an open world and I rely on your wisdom and maturity to do the right thing as far as sharing is concerned.
The Machine Learning 3.0 has also been published by the time I could finish this. So, I shall take it up after a break and update the sections above.
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