Architecture

We help document / refine the Business Flows, Tech Stack, Logical and Deployment Architecture and Integration Patterns with a series of Maps, Context and Sequence Diagrams.

AI Platform

8 to 12 weeks engagement that helps define the technical and non-functional requirements for your Gen AI and ML Ops Platforms.

Data Platform

8 to 12 weeks engagement that helps define the technical and non-functional requirements for your Data Platform including Data Lake, Data Warehouse and Self Service Analytics.

Cloud Platform

8 to 12 weeks engagement that helps define the Cloud Deployment Pipelines, Solution Architecture Patterns for Multi-AZ and Multi-Region Deployments in the Cloud.

Additional, areas for engagement are, Hybrid Cloud Pattens for apps that have On-Prem dependencies and On-Prem Cloud Solutions like (AWS Outpost, Google Anthos).

What We Do

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01

AI & Business Strategy

A set of frameworks (Current State Assessment, Maturity Model, Business Outcomes) that helps you Define and Align your AI Strategy to your Business Strategy.
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02

Architecture

Technology & Solution Roadmaps for your AI Platform, Data Platform and Cloud.
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03

Stability & NFRs

Robust Framework for Assessing your Platform Current State across all Non-Functional areas including Controls, Architecture, Performance, Deployments, Testing, Data Layer, Monitoring, Security and Network.
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04

Data & Observability

A set of Accelerators and Solutions that help you setup your Data Platform (Real Time Streaming and Batch) and Frameworks for Logging, Monitoring and Distributed Tracing.
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05

Platform Engineering & Cloud

A set of Accelerators to build your Gen AI Platform, ML Ops Platform and the Data Platform.
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