NimbleEdge can

Drastically Reduce Costs of Cloud Dependency: Escalating Costs and Control Loss

1-1 Correspondence of Cloud Pipelines: Execute the cloud pipelines on the edge

Utilize and execute impactful solutions with Real-Time User Engagement Data

Assist to Leverage the Edge with Expert teams that deploy results with speed.

NimbleEdge can

Drastically Reduce Costs of Cloud Dependency: Escalating Costs and Control Loss

1-1 Correspondence of Cloud Pipelines: Execute the cloud pipelines on the edge

Utilize and execute impactful solutions with Real-Time User Engagement Data

Assist to Leverage the Edge with Expert teams that deploy results with speed.

NimbleEdge can

Drastically Reduce Costs of Cloud Dependency: Escalating Costs and Control Loss

1-1 Correspondence of Cloud Pipelines: Execute the cloud pipelines on the edge

Utilize and execute impactful solutions with Real-Time User Engagement Data

Assist to Leverage the Edge with Expert teams that deploy results with speed.

The X-Factor Your Business Needs

X factorX factor mobile

X-Factor That’s Powered By

Real
Time

Orchestrated

Granularity

Simulated

<20 MS
Latency

Scalable

User Aware
Sessions

Immediate
ROI

Accuracy

Edge
Intelligent

Privacy
First

Distributed

Balanced

Federated

Reducing the Bottomline

Reduce costs by leveraging ML at the edge, thereby decreasing reliance on cloud infrastructure

Increase revenue through conversion rate uplifts by leveraging 1:1 ML models at scale

x factorwhite circle

X-Factor That’s Powered By

Real
Time

Orchestrated

Granularity

Simulated

<20 MS
Latency

Scalable

User Aware
Sessions

Immediate
ROI

Accuracy

Edge
Intelligent

Privacy
First

Distributed

Balanced

Federated

Use Cases

Leverage the Intelligent Edge for Your Industry

Fintech

Betterment in transaction success rate through hyper-personalized fraud detection
Fintech
Fraud detection models that try to flag fraudulent transactions (applies to all the FinTech apps)
Speed & Reliability issues with transactions in non-real time ML systems on the cloud limit personalization levels, as it operates with Huge Costs of running Real-Time ML systems on the Cloud
Read Use Case

E-Commerce

Increase in models’ performances lead to a rise in Conversion carts with higher order size
E-Commerce
Search & Display recommendation models for product discovery for new and repeat orders Personalized offers and pricing
The non Real-time/Batch ML processing doesn't serve highly fluctuating or impulsive customer interests. Organizations need real-time ML systems but it is impossible to implement and scale them on the cloud with even five times the average cloud cost.
Read Use Case

Gaming

See uplifts in game retention metrics like gaming duration, completion, game cross-sells and LTV
Gaming
Contest SelectionMatchmaking and Ranking Cross-contests recommendationPersonalized offers and pricing
As a result of cloud’s limited infrastructure in providing scalability with respect to ML model deployments and processing in real-time, gaming apps adopt non real-time/batch processing that negatively affects click-through rates, game duration, completion, cross-sells, and lifetime value of players.
Read Use Case

Healthcare

Savings in the privacy budget with privacy preserving encryption algorithms
Healthcare
Personalized Search recommendations (Exercises, Nutrition, Services, Products)
User engagement metrics, customer acquisition and retention, NPS, and other business app metrics suffer. On-device/Edge processing can be a great solution but the data processing capacity is inherently limited due to resource constraints of edge devices.
Read Use Case

Travel & Stay

Increase in average booking value with new and repeat customers with higher NPS & savings in cost of acquisition
Travel & Stay
Search/Service recommendation models  + Personalized offers and pricing
NimbleEdge’s HOME runs real-time ML - Inference & Training - on-device, ensuring performance uplifts in Search/Service recommendation and Personalized offers/pricing models at 1/5th of the cost to run them on the cloud.
Read Use Case
Fintech
Gaming
E-Commerce
Healthcare
Travel & Stay

NimbleEdge Platform Features

Features
Standard Suite
Premium Suite
Managed DB for event streaming
Data Processing Engine
Inference Engine
Managed Cloud Service Hosting
CLI and SAML based admin control
Role-based Access Control (RBAC) through CLI and Dashboard
Federated Learning on Edge
Hyper-personalized Training
Cloud Data Sync
Custom SDK Optimization

FAQs

What is the product and what does engagement look like?

How is the NimbleEdge subscription priced?

Describe the first 90 days of interacting with NimbleEdge as a team?

Our data science team has an existing portfolio of models currently in-use. Are we limited to models that NimbleEdge produces or will the NimbleEdge HOME product support a combination of both?

The risk and cost of storing PII in the cloud is well understood. How does NimbleEdge reduce both privacy risk and cost?

Will my CISO and team be concerned that existing security policies will be impacted? 

How will I leverage NimbleEdge Federated Learning into our modeling process?

Want to
learn more?

Get in touch to unlock real-time personalization using on-device ML with NimbleEdge
Contact us