Ai-MicroCloud®

Apply Artificial Intelligence at Scale

Bring AI Stack closer to Data (rather than the other way around)

Build Once Run Ai Anywhere

Deliver Ai-Microservices and Ai-APIs to integrate  with existing applications

Securely and seamlessly automate end-to-end pipelines

Scale to thousands of nodes

Put model hub closer to infrastructure, wherever that might be

Rapidly move from POC to Production, from Cloud to Edge, including on-premises

Compliance

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BIG PICTURE

Rapidly add Ai to existing capabilities

Enterprises, ISVs, System Integrators, OEMs are all rapidly ramping up Ai efforts

Ai-MicroCloud® helps boost efficiency, productivity and scalability from Cloud to Edge!

Provides agnostic solution (Cloud, Bare Metal, Model and Ecosystem agnostic)

Aggregate multi-asset Ai-capabilities

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Platform Gap

Businesses need Ai stack to move their data as opposed to other way around

Securely establish within customer perimeter

Seamlessly establish comprehensive monitoring

Compose and aggregate Ai services for a tailored experience

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Application Gap

Plug n' Play Ai services

  • Domain Adapted Chat
  • Descriptive Analytics
  • Predictive Analytics
  • Custom e.g. Vision (???)
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Application Gap

Provide plug n' play for Ai services such as:

  • Domain adapted search
  • Domain adapted chat
  • Descriptive analytics
  • Predictive analytics
  • Custom eg vision

 

 

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Integration Gap

  • SDK & CLI
  • Developer tool chain
  • Automate pipelines
  • Descriptive Analytics
  • Predictive Analytics
  • Custom eg Vision

 

 

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Usability Gap

Provide Plug n' Play for Ai services such as:

  • Carve up resources
  • Heterogenous CPU/GPU
  • HPC on CPU/GPU
  • Agnostic to cloud or bare metal environments

 

 

Usability Gap Image
BENEFITS

AI-MICROCLOUD® SCALES Ai from CLOUD to EDGE

60x Faster Provisioning on Hyperscaler

What is the impact of faster provisioning? Why is that a benefit.

LAUNCHER VIDEO

 

Already have cloud account

Process of creating cluster, K*, service public stores - all take time one by one. Launcher automates everything, so don't have to create one at a time. 

120x Faster Provisioning on Bare Metal

Can have text or image.

14x Faster time to initial RAG LLM use case

Put LLM use case information here.

Why RAG important. How we can take unstructured content, using RAG make your data fine tune to LLM to run your chat queries.

 

RAG LLM EMBEDDINGS WORKFLOW ARCHITECTURE v3

 

30% - 40% Savings on GPU costs

GPU costs are by far the biggest driver of AIML costs. By helping manage resources more efficiently, GPU utilization can be managed even while more compute power is required. Saving 100s of 1000s of dollars on montly GPU costs.

More than 40% Savings on AI Solution

Is this referred to Total Cost of Ownership (TCO) of an AI solution? Is that what's being saved?

TBD - Collaboration, Portability, Reuse, Productivity

The graphic?

TBD - End to End Ai Pipeline Automation

Clarify the word order. Original text was: Automation of End-to-End Pipelines.

POWERFUL FEATURES

Pre-Built MicroServices

Icon Ai-Rover

Ai-Rover®

Feature Mining, Data Comprehension, No-Code Analyst addOn. GA since 3Q'22

Icon Ai-Copilot transpar

Ai-Domain CoPilot

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Ai Guiderails

Ai-Guardrail

GenAI Testing Framework addOn for establishing guard rails and testing practice. Beta since 2Q 24

icon risk

Ai-MRM

Coming Soon! Model Risk Management addOn for BFSI and other regulated industries. Beta expected 3Q 24

Ai-MicroCloud®

Build Once - Run Anywhere

GA since 1Q 22

Latest V1.2.7 as of 1Q 24

 

Clicking Ai-CoPilot

Ai-CoPilot for Domain Adaptation of RAG

  • For GenAi Model Fine Tuners
  • Jumpstart Model HUB additions
    • Llama2 7B & 13B
    • Mistral 7B
    • BYOM (Bring Your Own Model)
    • New models continuously added
  • Automation for RAG
    • Drag n' Drop for Embedding Creation
    • Chat interface for Fine Tune model
    • Workstations for LLM orchestration
  • Secure LLM-Dev-Sec-Ops
    • SDK & CLI support to securely deploy
    • Role based accesses for Modeler & Ops
    • Role based access for End-Users

 

RAG LLM EMBEDDINGS WORKFLOW ARCHITECTURE v3
Clicking Ai-CoPilot

Ai-Guardrail for LLM Testing Practice

  • For Model Testers & Quality Engineers
  • Powered by ISV Partner (who?)
  • "Do No Harm" datasets & questions
    • Personally Identifiable Information (PII)
    • Toxicity
    • EU law ser
    • Engagement Level
  • Test Suite Generation for Domain
  • Model performance scoring
  • Closed loop testing for RAG Fine Tuning

 

Ai-Guidrails Image
TESTIMONIALS

What our customers say

“We needed a way to show our senior leadership team that marketing was producing results, and that’s hard when your metrics are scattered. This dashboard saved the day.”

MARKETING MANAGER, DRIVE Natasha Brown

“We needed a way to show our senior leadership team that marketing was producing results, and that’s hard when your metrics are scattered. This dashboard saved the day.”

MARKETING MANAGER, DRIVE Natasha Brown

“We needed a way to show our senior leadership team that marketing was producing results, and that’s hard when your metrics are scattered. This dashboard saved the day.”

MARKETING MANAGER, DRIVE Natasha Brown
READ FULL CASE STUDY
SITUATION

For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros

SOLUTION

Logoipsum partnered with T2D3 to document their entire customer journey and map metrics at each stage

IMPACT

Logoipsum increased data accuracy by 76% and decreased manual data collection time by 4 hours per week

READ FULL CASE STUDY
SITUATION

For days, HubSpot manually tracked marketing metrics using Excel, Google sheets, and complex macros

SOLUTION

Logoipsum partnered with T2D3 to document their entire customer journey and map metrics at each stage

IMPACT

Logoipsum increased data accuracy by 76% and decreased manual data collection time by 4 hours per week

LEARN

Align marketing metrics with revenue

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EBOOK

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Ai-MicroCloud®

Apply Artificial Intelligence at Scale

Bring AI Stack closer to Data (rather than the other way around)

Build Once Run Ai Anywhere

Integrate Ai-MicroServices and Ai-APIs with existing applications

Securely and seamlessly automate end-to-end pipelines

Scale to thousands of nodes

Establish quality engineering practice

Put model hub closer to infrastructure, wherever that may be 

GET A DEMO TRY THE PLAYGROUND
Computer and Laptop
Ai-MicroCloud®

Apply Artificial Intelligence at Scale

Bring AI Stack closer to Data (rather than the other way around)

Build Once Run Ai Anywhere

Integrate Ai-MicroServices and Ai-APIs with existing applications

Securely and seamlessly automate end-to-end pipelines

Scale to thousands of nodes

Establish quality engineering practice

Put model hub closer to infrastructure, wherever that may be 

GET A DEMO TRY THE PLAYGROUND
Computer and Laptop
PLANS

Scale your marketing metrics

Basic

$30/mo

Flat fee for up to 200 users

Set the foundation with all your team needs for basic data integrations.

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Pro

$85/mo

Flat fee for up to 200 users

Set the foundation with all your team needs for basic data integrations.

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Enterprise

Custom

Get in touch for a custom quote

Set the foundation with all your team needs for basic data integrations.

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