Tech & Communications AI Deployments

Articul8 AI built an autonomous, full-stack generative AI platform on AWS for enterprises to develop, deploy, and manage models within their own security perimeters. The platform uses Amazon SageMaker HyperPod for distributed pretraining and fine-tuning of large and domain-specific models, with automated faulty-node replacement and lifecycle customization. Articul8 AI integrated Amazon Managed Grafana to provide near-real-time GPU observability and a single-pane-of-glass dashboard.

Turbo AI is a technology company founded by experts in cloud computing, distributed systems, and machine learning. It provides vertically integrated infrastructure services for organizations building, training, and running AI models. The company partnered with Alibaba Cloud to solve multi-cloud complexity, large-scale data migration, and GPU cost and flexibility challenges.

Trend Micro enhanced its Companion AI assistant in its Vision One security software with long-term and short-term agentic memory capabilities. The company used Amazon Neptune as a knowledge graph and experience layer to connect threat intelligence, alerts, investigations, and successful remediation patterns so analysts can get more explainable and personalized security recommendations. Trend Micro combined Amazon Bedrock, Amazon Textract, and Amazon Managed Streaming for Apache Kafka to orchestrate agentic workflows, clean and enrich user conversations, and feed metadata into the graph for long-term memory and correlation analysis.

Druva built DruAI, an agentic AI solution to help customers complete cyber investigations and recovery workflows. The solution uses a multi-agent system on AWS with AgentCore Memory, AgentCore Code Interpreter, Amazon Bedrock access to Claude models, voice capabilities with Amazon Nova Sonic, and Bedrock Guardrails. In production, DruAI coordinates 8 to 10 specialized agents across investigation, help, and recovery workflows.

Kimi rolled out multiple agent-based products and built an end-to-end agent infrastructure with Alibaba Cloud to handle high-concurrency requests, fast sandbox startup, state preservation, secure isolation, and low-cost elastic scaling. The architecture combines Alibaba Cloud Container Service for Kubernetes (ACK), ACS Agent Sandbox, Lindorm multi-model database, MicroVM isolation, NetworkPolicy, and Fluid to support production AI agents and model training workloads.

TELUS built its generative AI platform Fuel iX on Google Cloud to unify siloed data, increase trust in enterprise data, and support proactive problem-solving, customer support, and engineering productivity across the company.

C Spire built an agentic AI assistant on AWS to help network technicians solve issues more efficiently and keep its network resilient. The solution gives technicians natural-language access to equipment manuals, technical documentation, and network schematics while combining alarms, logs, and configurations to support diagnosis and resolution.

Ericsson describes an AWS-hosted rApp as a Service solution that uses agentic AI to automate RAN operations and optimization for communications service providers. The platform integrates with Ericsson Intelligent Automation Platform and O-RAN interfaces to coordinate specialized agents for anomaly detection, root-cause explainability, cell shaping, and uplink performance optimization. It is delivered as a multi-tenant SaaS offering through AWS Marketplace.

Fujitsu faced time-consuming and manual sales proposal creation processes, hampering staff productivity and slowing the onboarding of new salespeople. To address these challenges, Fujitsu developed an orchestrated multi-agent AI system using Microsoft Azure AI Agent Service, Azure AI Foundry, and Semantic Kernel, allowing them to automate data gathering and proposal drafting. The new system integrates with Fujitsu's existing workflows and leverages multiple specialized AI agents to dynamically retrieve, synthesize, and tailor sales proposals from dispersed enterprise data sources. As a result, Fujitsu boosted sales team productivity by 67%, enabling staff to focus on customer engagement, faster onboarding for new hires, and delivery of more accurate, data-driven, and current proposals.

ContraForce is a cybersecurity startup that built a multi-tenant Security Delivery Platform for managed security service providers (MSPs). The platform operationalizes Microsoft Sentinel, Microsoft Defender XDR, Microsoft Entra ID, and Microsoft Foundry / Azure OpenAI, with a no-code automation layer called Gamebooks. AI agents triage, investigate, and execute supervised or autonomous response actions so MSPs can scale 24/7 SOC operations and manage more customers.

Replit adopted Anthropic's Claude 3.5 Sonnet on Vertex AI to power Replit Agent, which turns natural-language prompts into working applications by handling environment setup, code generation and editing, testing, and deployment. Replit also uses Gemini 1.5 Flash for additional AI features and runs supporting infrastructure on Google Cloud including Cloud Run, Compute Engine, Cloud SQL, and BigQuery.

Quench.ai used Google Cloud to build a scalable, cost-effective AI platform for employees to search across company tools and data in seconds. The company used Gemini 2.5 with Google AI Studio, Cloud Run, Cloud SQL, Memorystore, and Identity-Aware Proxy to prototype and deploy a custom debugging tool and other AI workflows. Quench.ai says the platform enables faster access to internal information and supports agentic AI development for onboarding and handover scenarios.

Adya is a tech company with two primary business segments: Adya, a SaaS-based data security platform that protects data in cloud applications, and Adya.ai, an AI-powered platform that transforms enterprise workflows into AI-powered agents and copilots, improving efficiency and driving cost savings. The company built a platform on Google Cloud that combines Gemini, Vertex AI, Google Agentspace, Google Kubernetes Engine, Pub/Sub, Cloud Storage, and Virtual Private Cloud to support secure enterprise AI workflows. The platform includes App Studio and Model Studio for AI-assisted application generation, fine-tuned LLM development, and configurable deployment options for enterprise customers.

Enterprises have long relied on Microsoft Entra’s Conditional Access policies to safeguard organizational resources, but manually managing these policies has proven complex and error-prone due to overlapping rules, legacy authentication risks, and rapid environmental changes. The Conditional Access Optimization Agent (CAOA), powered by Security Copilot and integrated within Microsoft Entra, addresses these challenges by continuously scanning user and app inventories, sign-in logs, and existing policies to identify unprotected users, risky applications, and policy gaps. The AI-driven agent analyzes data against Zero Trust principles and provides actionable recommendations with one-click remediation, reducing manual workload while empowering administrators with full oversight. Pilot organizations have already reported freeing up security team hours and discovering over 900 unprotected users not identified through manual audits. CAOA complements existing tools—such as the What If tool and Gap Analyzer—by automating policy reviews while maintaining robust audit trails for transparency. The tool requires Microsoft Entra ID P1+ and Security Copilot licenses and currently operates in private preview. Through proactive, AI-assisted policy management, organizations can both strengthen security and reduce operational overhead.

IBM faced major productivity drag across HR, procurement, IT, supply chain, sales, and tax because employees spent time searching for policies, navigating siloed systems, handling routine support, and manually aggregating data. IBM set out to create an enterprise-wide productivity blueprint using AI, hybrid cloud, and automation, with domain assistants such as AskIT, AskHR, and AskSales deployed across workflows.

Space Armour is a Singapore-based space technology startup building autonomous AI systems for orbital environments. The company built an integrated edge AI platform for deployment on NVIDIA Jetson, combining an AI engine, a blockchain node to cryptographically record AI inferences, and a security gateway. It hosts the solution on Google Cloud to deploy Gemini and Gemma models, use Cloud GPUs, and run the platform on Google Kubernetes Engine (GKE).

Nextory worked with Google Cloud to map, analyze, and modernize its media processing system using agentic AI. The streaming platform used Google Cloud tools to reverse-engineer legacy Ruby code, prototype replacement architectures, and rebuild ingestion so it could handle large publishing back catalogs more quickly and scalably.

Synthesia integrates multiple Google Cloud AI models through Gemini Enterprise Agent Platform to generate custom visual assets, automatic infographics, video tagging, and large-scale localization. The company positions Google Cloud as a stable AI ecosystem that avoids repeated API rewrites and workflow reconfiguration while it expands AI video creation and future interactive media.

Totogi automates change request processing for telecom business support systems (BSS) with its BSS Magic platform. The solution addresses the complexity of telco stacks that include hundreds of vendor applications and require costly customizations, lengthy testing, and specialized engineering expertise. BSS Magic uses a telco ontology and a multi-agent framework to automate the full software development lifecycle for change requests, including business analysis, technical architecture generation, code generation, automated QA, and test suite generation. Amazon Bedrock provides the foundation models, while AWS Step Functions and AWS Lambda coordinate state, orchestration, and workflow execution.

Couchbase built Capella iQ as an AI-powered developer assistant that generates SQL++ queries, recommends indexes, and supports multi-turn conversations. The implementation uses a model-agnostic inference architecture on Amazon Bedrock with Amazon Elastic Kubernetes Service, private Amazon VPC connectivity, and Cross-Region Inference across AWS Regions for resilience and burst handling.