AI Atlas - Daily updates on real-world AI deployments worldwide

Novartis deployed Market Logic Software's Sherlock + DeepSights generative-AI platform to centralize market insights across 7,500 internal users, cutting primary research spend by 56% ($30M annually) and saving two hours per major research query.

Japan's avatarin built a 24/7 multilingual voice-AI retail agent on OpenAI GPT-Realtime and deployed it at Yamada Denki (one of Japan's largest electronics retailers). 30,000 shoppers engaged in the first two weeks, with 92% satisfaction.

Ring built a semantic video search system on Amazon RDS for PostgreSQL with the pgvector extension that stores 100–200 billion vector embeddings across 3 PostgreSQL clusters holding 140–150+ TB, ingests roughly 2 billion new embeddings per day, and serves billions of read requests daily across 9 AWS Regions on 4 continents while holding query latency under 200ms p50 and under 2 seconds worst case. The CLIP-based AI Video Search converts video frames into vector embeddings and matches natural-language queries like 'package delivery' or 'someone wearing a blue shirt' against them.

Blue Origin used BlueGPT, its internal multi-agent AI platform built on Amazon Bedrock, the open-source Strands Agents SDK, and Amazon EKS, to design the TEAREx thermal battery for lunar hardware with a team of specialized AI agents working alongside 2–3 human engineers — compressing the hardware development cycle by roughly 90% and accelerating analysis workflows by 6x. BlueGPT now hosts more than 2,700 agents that drive roughly 3.5 million interactions per month, with 70% company-wide adoption.

Rakuten France, the French e-commerce marketplace subsidiary of Rakuten Group, runs 80+ Custom Agents inside Notion that automate more than 58,000 workflows company-wide and cut backlog health issues by 50% on the product team. AI Lead Sidney Golstein built a meta-agent called the Rakuten Agent Builder so any employee can spin up a new agent in 10–20 minutes from a plain-language description, with shared SOPs, an Agent Registry, an Agent Logs database, and a separate Delicious Improver agent closing the loop by reviewing logs and proposing updates.

Česká spořitelna's Future Lab branch in Prague runs the Czech Republic's first 24/7 AI-powered bank lobby, where a Promethist Engage digital human greets every visitor in 20+ languages, qualifies intent, and summons bankers with full context. Innovations from the lab are now feeding into Česká spořitelna's 320 branches nationwide and across Erste Group's seven-country network.

Atlassian is shipping four governed agent loop features across Jira and DX that automate the path from backlog to pull request, backed by its 2026 AI SDLC study showing 94% of engineering leaders use AI but only 6% have systems to scale it across the lifecycle. DX analysis of teams using the most Atlassian Teamwork Graph context found they shipped roughly 64% more per developer.

Atlassian deployed a distributed agent harness for Rovo Chat with split-plane architecture, programmatic tool calling ('code mode'), and interactive sub-agents to power an always-on AI assistant for Jira and Confluence workflows; internal evaluations showed code mode cut latency of complex Jira queries by over 50%, reduced token consumption by 55%, and improved accuracy by 30% against a baseline meta-tool harness.

Salesforce's Data 360 team converted roughly 100,000 unstructured Informatica documents into an AI-ready knowledge base in 24 days, beating a 30-day post-acquisition deadline by reusing established ingestion, chunking, and retrieval patterns instead of rebuilding. The resulting Informatica Help Agent resolves 80% of customer questions with only 5% human escalation.

Figma's security engineering team built a dual-model agent system (Claude Code Opus 4.8 + Codex GPT-5.6 Sol) on a precedent-based threat-model policy that catches 75.8% of bugs slipping past human reviewers plus static analysis, at a median cost of $0.50 per PR review. The same policy drives code generation and monorepo-wide auditing, and self-improvement loops update it from HackerOne bug reports and PR-author feedback.

Figma's security engineering team built a multi-layer agentic system on Claude Opus (triage) plus Claude Sonnet (intent routing) orchestrated through Tines, with AWS Bedrock + Kendra for RAG and a Snowflake-backed security data lake, that handles all initial SIEM alert response and auto-files PRs. Outcomes: 71% reduction in time-to-resolution on complex alerts, 20% drop in on-call pages, 25% fewer endpoint software approval requests.

Nokia's Core Networks division is rebuilding its software development life cycle around Cursor as a multi-agent platform. Two engineers analyzed 50M+ lines of code in two weeks (work that would have taken months and a dozen+ experts); one engineer built a PRD-to-tool automation in under a week that automated ~80% of a 6–10 PM workflow; root-cause analysis on customer-impacting defects dropped from weeks to days; SDLC being redesigned around persona-specific agents.

Salesforce subsidiary Informatica's CLAIRE multi-agent AI system, embedded across the Intelligent Data Management Cloud, executes enterprise data workflows at a 90% task success rate and reduces month-long manual efforts to days by coordinating 50–60 specialized model calls per request through an orchestration agent with validation checkpoints and deterministic tool routing.

Salesforce subsidiary Informatica's Copilot generative AI assistant turns natural-language prompts into production data integration pipelines. Since May 2025 launch, customers have generated ~10,000 pipelines and submitted 25,000+ expression-generation requests, with ~60% of generated expressions accepted without modification and mapping augmentation adopted on 900+ existing pipelines in under two months.

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AssetWorks cut support costs 39% within one AI platform | Mosaic AI # How AssetWorks cut support costs 39% within one AI platform How AssetWorks, a Volaris portfolio company, used Mosaic AI to launch an agent Assist, then expanded into Self-Service, Knowledge Automation, and an automated bug triag

Slack built a multi-agent security investigation service using a Director-Experts-Critic architecture with three context channels — Director's Journal, Critic's Review, and Critic's Timeline — to keep the team of agents coherent over hundreds of inference calls per investigation.

Salesforce's TPIL team built a Proficiency Level (PL) Framework to enable thousands of software engineers to progress from using agentic coding tools to orchestrating systems of agents. The framework defines a shared language for agentic work across capability stages, paired with hands-on programs.

UNIQA SEE deployed an Azure AI medical referral solution on Microsoft Foundry, Azure Document Intelligence, and Azure OpenAI, cutting health insurance claims processing time from 15-30 minutes to 2-3 minutes per case (an 85-90% reduction), lowering call volumes, and freeing claims handlers for higher-value work — the first AI-powered end-to-end business process of its kind in Southeastern Europe.

Clear.bio, a Dutch health-tech startup, used Google Gemini and BigQuery in an AI Sprint with Google for Startups to automate how its sales team identifies healthcare partners. An AutoML predictive model on the Gemini Enterprise Agent Platform scored practices across the Netherlands, Germany, and France, lifting high-value partner conversion 30 percent with 92-94 percent prediction accuracy.