Armakuni

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Overview

$1,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

50 - 249

Employees

2012

Year Founded

ABOUT ARMAKUNI

High Performance Teams and Capabilities

Armakuni is a top-tier cloud-native technology consultancy and an AWS Premier Partner, committed to enhancing digital transformation for organizations globally. Our expertise lies in innovative solutions within Generative AI, AWS cloud services, DevOps, Data Engineering, and Machine Learning. We utilize our distinctive AK Way, a proven methodology that promotes engineering agility and ensures reliable outcomes. Our flexible engineering pods enable clients to scale expert teams as needed, regardless of project size or complexity. The Gen AI Center of Excellence at Armakuni keeps us at the cutting edge of AI innovation, providing clients with advanced capabilities and strategic advice. We are dedicated to helping organizations modernize their operations, seize new growth opportunities, and create a lasting impact through technology-driven innovation.

LANGUAGES SPOKEN

English

HIGHLIGHTS

$1,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

50 - 249

Employees

2012

Year Founded

Services

Focus

Industries

Clients

Services Provided

35% Generative AI

25% Machine Learning Model Development

15% AI Strategy & Roadmap Consulting

15% Cloud Consulting & SI

10% AI Model Fine-Tuning & Training

100% Cloud Infrastructure Setup (AWS / GCP / Azure)

About the Team

OUR STORY

Armakuni is a trusted partner, collaborating closely with clients to enhance AI, automation, and architectural frameworks, driving significant business efficiencies. Their expertise has guided successful projects such as launching Call Intelligence AI for over 500 clients, shaping AWS blueprints that uncover key improvement areas, and developing innovative solutions like new donation platforms that have enabled organizations to surpass critical fundraising milestones. Clients consistently commend Armakuni for their honesty, reliability, and seamless communication, praising their technical proficiency and dedication which integrate them as an extension of internal teams. By focusing on tailored, high-quality, and adaptable approaches, Armakuni ensures projects meet goals, optimize costs, and deliver meaningful returns on investment, fostering long-term success.

Portfolio

AI-Powered Sentiment and Performance Analysis

Unknown

RYNO, a digital marketing agency located in the U.S. that caters to HVAC, plumbing, and electrical contractors, aimed to enhance its customer support processes by utilizing AI to analyze thousands of incoming calls each day. We developed an AI-driven platform for RYNO that automatically transcribes calls, identifies sentiment and intent, and assigns relevant call tags. Additionally, it assesses agent performance in near real-time, transforming every interaction into actionable insights. The outcomes were remarkable: the system was able to manage 200 times more transcripts than previously, lowered the cost per transcript from $0.80 to $0.30, and increased the speed of sentiment analysis by 80%.

Migrating Complex DevSecOps Infrastructure to AWS

Unknown

Digital.ai, a software delivery platform utilizing AI, needed to update its expensive and outdated Rackspace infrastructure, which was inefficient in scalability, disaster recovery, and provisioning, particularly after several unsuccessful attempts at migration. We performed a comprehensive assessment of the infrastructure, developed a tailored migration strategy using AWS MAP, and transitioned workloads to AWS with minimal code alterations. The solution featured immediate disaster recovery capabilities, centralized monitoring, audit logging, and enhanced notification processes. The outcomes were significant: Digital.ai completed a cost-neutral migration within five months, saved $1.5 million, tripled deployment speed and scalability, and achieved full readiness for disaster recovery.

Gen AI-Driven Cognitive Search Engine

Unknown

The American Psychological Association (APA), the largest organization of psychologists globally, required a quicker and more precise method for extracting insights from over 3 million publications. Relying on manual Subject Matter Expert (SME) reviews proved to be slow, expensive, and difficult to scale. Previous efforts using AI fell short due to significant hallucination rates and challenges with migrating to AWS. We developed a generative AI-based cognitive search platform utilizing a custom Retrieval-Augmented Generation (RAG) model on Amazon Bedrock, along with modular workflows for structuring, summarization, test detection, and citations. AWS Lambda and SageMaker facilitated scalable data ingestion and processing. The results were remarkable: the APA reduced SME expenses by 99%, increased extraction speed by 60 times, and provided over 157,000 researchers with immediate access to insights.