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92 verified customer use cases (92% with quantified ROI · Avg Value Score 87.3 · 100% with mapped architecture components).
- Verified stories
- 92
- Quantified ROI
- 92%
- Avg value score
- 87.3
- Industries served
- 12
- Distinct products
- 62
MongoDB Sample Mar 18, 2026 Lendi Group Lendi Group needed to replace a sprawling mix of relational and non-relational systems so it could create a compliant, real-time customer view for AI-native mortgage and property services. It has already improved time to market for AI features by approximately 40%. MongoDB Atlas · MongoDB Vector Search MongoDB Sample Mar 17, 2026 Okta Okta Inbox needed a more scalable and lower-overhead way to power natural-language application access requests without maintaining separate vector infrastructure or slowing down product iteration. With more than 18,000 customers globally, Okta has developed integrations for more than 7,000 applications. MongoDB Atlas · MongoDB Vector Search on Atlas MongoDB Sample Mar 17, 2026 Kovai Kovai saw knowledge-base users shift from keyword search toward conversational questions, and needed to deliver low-latency, context-aware answers from documentation without introducing brittle data synchronization… average time reduces to less than 2 milliseconds MongoDB Atlas · MongoDB Vector Search · OpenAI MongoDB Sample Archived · Mar 16, 2026 ESG Data & Solutions ESG Data & Solutions needed a flexible, secure data platform that could ingest huge volumes of ESG documents and feeds, replace relational and separate vector databases, reduce manual review cycles that took days per… ESGSure collects data points from over 20,000 companies and investors. Anthropic Claude · MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Mar 16, 2026 Applivery Applivery needed a flexible solution to handle mutating data schemas, with unpredictable device updates and 400% growth ruling out legacy options. Applivery Mastering mutating data with MongoDB Atlas Applivery has scaled by 400%, managing billions of… MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Mar 6, 2026 Beni Beni needed to search and rank more than 300 million one-of-one resale listings refreshed by over a million items per day, but its split Milvus and MongoDB architecture created brittle ETL synchronization, expensive… Beni manages over 300 million listings that refresh by more than a million items daily. MongoDB Atlas · MongoDB Search · MongoDB Vector Search MongoDB Sample Mar 3, 2026 Super AI Super AI needed to build a secure, hallucination-resistant RAG platform for a pharmaceutical client that could guide 15,000 field sales reps without exposing sensitive data or sacrificing response speed. Super AI scaled to enterprise securely with a 16-engineer team. MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Feb 10, 2026 Kiwi Kiwi wanted to build a platform that understands context and acts across systems to eliminate operational drag. MongoDB Atlas · MongoDB Atlas Search MongoDB Sample Archived · Feb 5, 2026 Condé Nast Condé Nast needed a recommendation engine that could help millions of readers across more than 70 websites find relevant content without the latency, cost, and operational complexity of maintaining separate… Click-through rates across Condé Nast's websites rose to 35%. MongoDB Atlas · MongoDB Atlas Vector Search · Voyage AI MongoDB Sample Jan 16, 2026 Skello Skello aimed to scale efficiently, support millions of daily HR interactions, and empower teams with resilient, high-performing tools. Every month, the platform processes around 100,000 documents, with huge spikes in activity during the first few… MongoDB Atlas · MongoDB Atlas Search MongoDB Sample Archived · Jan 3, 2026 EVANA EVANA needed to eliminate data sprawl and unstable SQL-based workflows that slowed document search, AI classification, and customer response times. Accuracy improved as the volume of documents increased from 6,000 to 30,000 per hour. MongoDB Atlas · MongoDB Atlas Search · OpenID Connect (OIDC) MongoDB Sample Archived · Jan 3, 2026 Emergent Labs Emergent Labs needed a flexible, scalable database to support AI agents building and iterating on vibe-coded applications. Almost 2 million apps have been built on the platform, and multi thousands of them deployed. MongoDB Atlas MongoDB Sample Dec 23, 2025 Rezolve AI Rezolve Ai’s legacy product discovery system relied on a contextual, AI-based search engine that excelled with subjective queries. However, the system could not support the precise searches that B2B customers required. We saw a reduction in latency by up to 50%, and we’ve achieved an average response time latency of roughly 50… MongoDB Atlas · MongoDB Atlas Search MongoDB Sample Dec 22, 2025 Xlrt Xlrt needed to help a multinational bank overcome data silos and manual contract workflows that slowed forecasting, procurement analysis, and vendor management across many regions. Processes that once took 15 days now take just three, which is 75% faster and more cost efficient. MongoDB Atlas · MongoDB Enterprise Advanced MongoDB Sample Dec 21, 2025 Novo Nordisk Novo Nordisk needed to reduce the 12-week, multi-team effort required to produce compliant clinical study reports without sacrificing quality or regulatory rigor. CSR creation reduced from 12 weeks to 10 minutes Amazon Bedrock · Claude 3 · LangChain MongoDB Sample Dec 18, 2025 TinyFish TinyFish needed retrieval technology accurate enough to let thousands of AI agents automate web research, product matching, and data extraction for enterprise users without forcing customers to wait weeks for… TinyFish launched with $47 million in funding. MongoDB Atlas · Voyage AI rerank-2.5 · Voyage AI voyage-3.5 MongoDB Sample Archived · Nov 12, 2025 Brembo Solutions Brembo Solutions needed an enterprise-grade data platform for its ALCHEMIX SaaS product that could retrieve formulation data in real time, satisfy security and privacy requirements, and integrate with each client's… "Launched in 2023." MongoDB Atlas MongoDB Sample Archived · Nov 12, 2025 Factory Factory needed a single platform that could handle unstructured agent-development data, vector retrieval, and rapid product evolution without forcing the team to juggle multiple databases and storage systems. Factory’s business typically processes billions of tokens daily. MongoDB Atlas · Voyage AI MongoDB Sample Oct 31, 2025 LG U+ LG U+ needed a scalable document-oriented foundation for its Agent Assist call-center system because relational databases could not efficiently manage the complex and unstructured data behind real-time support workflows. Agent Assist improved resource efficiency by 30 percent. Atlas Vector Search · MongoDB Atlas MongoDB Sample Sep 30, 2025 TeamSystem TeamSystem aimed to embed AI for smooth content access on a secure, scalable platform; choosing MongoDB Atlas unified data and boosted innovation. By leveraging MongoDB Atlas’s automatic horizontal scaling, TeamSystem has taken the platform from an initial… MongoDB Atlas MongoDB Sample Archived · Sep 23, 2025 ICIS ICIS’s role as a source of commodities intelligence makes it a vital cog as the global economy becomes ever hungrier for information. MongoDB Atlas MongoDB Sample Archived · Sep 11, 2025 iConstruye Digitizing the construction industry Business-to-business (B2B) digital services company uses a full suite of MongoDB offerings to develop solutions that serve the construction industry. MongoDB Atlas · MongoDB Atlas Search · MongoDB Atlas Vector Search MongoDB Sample Sep 10, 2025 altermAInd altermAInd needed a database platform that could support fast-moving AI products while preserving governance, GDPR compliance, and strict operational controls in heavily regulated European markets. 10K+ businesses MongoDB Atlas MongoDB Sample Sep 8, 2025 Modjo Modjo's Atlas-backed conversational-intelligence platform was hitting 100% CPU saturation because inefficient connection handling, unclosed sessions, and large requests were driving performance bottlenecks and… 100% CPU saturation MongoDB Atlas · MongoDB Professional Services