JarvisLabs.ai
Vast.ai
iko.ai
Censius.ai
Bifrost Data Search
Lightly AI
Evidently AI
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Qrvey
DevicePilot
AnswerRocket
Syndigo
Amdocs CES
Yellowfin
Toucan Toco
Omniscope
At JarvisLabs, our mission is to democratize the power of AI by providing accessible and innovative solutions to all. You can select any latest frameworks or train and deploy AI, ML and DL models in few clicks. Say goodbye to the traditional barriers
Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
JarvisLabs.ai QrveyNo features have been listed yet.
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Qrvey's answer:
Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
Based on our record, JarvisLabs.ai should be more popular than Qrvey. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Try https://jarvislabs.ai if rundiffusion doesn't work for you. Its cheaper. Source: about 1 year ago
Someone also mentioned https://jarvislabs.ai/ to me the other day, haven't used it myself but it looks promising. Source: about 1 year ago
Jarvislabs.ai is a cloud platform where you can rent GPU's, I've had a problem when I first tried their platform, and they helped me instantly on Google Meet and solved my problem. They're a start-up based in India and they told me they have their GPU's in-house. Source: about 1 year ago
Checkout https://jarvislabs.ai/. Been using them for a good 6 months, their GPU instances are way cheaper than AWS/azure/gcp and it's perfect for running hundreds of modeling experiments. It's practically an extension of your local jupyterlab to a server jupyterlab. Customer support is great too. Source: about 1 year ago
Tried that, didn't work... It's an account wide limit on GPU instances... Seems to be consistent across all cloud providers except lambda labs/indie guys like jarvislabs.ai; using indie now. But, very strange why this happens. Source: over 2 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
Censius.ai - Building the future of MLOps
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
