Enterprise & Atlas
MongoDB Enterprise and Atlas deployments engineered for uptime and scale.
AI-tuned cluster sizing MongoDB AtlasMongoDB, built to scale with AI.
Brainvire designs and scales NoSQL applications on MongoDB and Atlas: flexible schema design, MEAN and MERN builds, migration, and performance tuning, with Gen AI and vector search wired into the data layer.
2,500+Enterprise programs delivered
95%Client retention rate
10+Global delivery offices
500+Enterprise clients
Trusted by product and data teams worldwide
/ Scale, on the record
Data-heavy products we built, and what changed.
Every figure below comes from a documented engagement. Every card is one client, on the record.
Social · Scale
[2M+]
App downloads on a high-scale data backend
From product idea to 2M+ users
We took a social experience app from idea to 2M+ downloads and 30M+ stories posted: a data model built to absorb rapid, unpredictable growth.
Read the case →
Healthcare · Scale
[700+]
Pharmacies running on one platform
An on-demand pharmacy platform at national scale
An AI-enabled on-demand pharmacy platform serves 700+ pharmacies and 5000+ delivery agents, managing over 50,000 orders on a scalable backend.
Read the case →
Fintech · Throughput
[500K]
Daily transactions on a finance app
A finance app built for half a million daily writes
A finance app manages 1.5M+ users and 500k daily transactions while holding virtual cash worth USD 10M, a backend engineered for throughput.
Read the case →
Media · Scale
[28M]
Monthly users served with headroom to spare
Fox Sports scales to 28 million monthly users
We rebuilt the data and performance foundation behind Fox Sports, scaling from 12M to 28M monthly users while cutting bounce rate 60%.
Read the case →/ What we build
Every MongoDB capability. One engineering standard.
Eight practice areas, one roof. AI is engineered into each, not sold as a ninth.
Schema & Data Modeling
Document models designed for real access patterns, not relational habits.
AI-assisted schema design Data ModelingMEAN / MERN Stack
Full-stack apps on MongoDB with Node, Express, Angular, and React.
AI copilots in the build Full-stackMigration to MongoDB
Move from relational or legacy stores to MongoDB with integrity-checked data migration.
AI-mapped migration MigrationPerformance & Sharding
Indexing, sharding, and query tuning that keep latency flat as data grows.
AI query & index optimization PerformanceAPIs
RESTful and GraphQL APIs over MongoDB for web, mobile, and IoT clients.
AI-generated API scaffolds REST / GraphQLGen AI & Vector Search
Atlas Vector Search and Gen AI features built directly on your data.
AI embeddings & semantic search Vector SearchSupport & AMS
Managed MongoDB: monitoring, backup, security, and continuous optimization.
AI-triaged monitoring 24×7 ManagedCertified on the platforms that matter.
Top-tier technology partnerships held for years, audited by the vendors themselves
/ AI, built in
AI and vector search built into the data layer, not bolted on.
Modeling
AI copilots for data modeling
We pair engineers with AI copilots for schema design, query generation, and migration across MongoDB and Atlas.
Automation
Agentic data pipelines
Autonomous agents that handle indexing, aggregation, and the repetitive data-ops steps inside your MongoDB clusters.
Retrieval
Vector search & RAG
Atlas Vector Search and embeddings wired into the data layer to power semantic search and retrieval-augmented apps.
Assurance
AI-assisted query & security tuning
Automated query analysis, index recommendations, and anomaly detection wired into your database operations.
14+Years engineering enterprise software
2,500+Projects delivered worldwide
95%Client retention rate
4.8/5Client rating, 262 reviews
/ Accelerators
Built with AI. Ready for scalable data.
Each accelerator packages the playbooks, pre-built components, and AI tooling from dozens of prior MongoDB programs, so the riskiest step of your roadmap begins largely solved.
Migration
[70%]of schema & data mapping automated by AI
SQL → MongoDB Accelerator
Move relational workloads to MongoDB with AI-automated schema mapping, integrity checks, and a zero-loss cutover plan.
Time to value · [8-12 weeks]See the playbook →
Build
[6wk]to a production MEAN/MERN foundation
MEAN/MERN Foundation Accelerator
A production-ready full-stack foundation on MongoDB with auth, APIs, and CI/CD wired in and AI copilots in the build.
Time to value · [6-10 weeks]See the playbook →
AI Enablement
[4wk]to live semantic search on your data
Vector Search Accelerator
Atlas Vector Search and a Gen AI retrieval layer deployed on your existing MongoDB collections.
Time to value · [4-6 weeks]See the playbook →
Performance
[0]latency spikes as data volume grows
Performance & Sharding Accelerator
Index, shard, and query-tune an existing cluster with AI-assisted profiling to keep latency flat at scale.
Time to value · [4-8 weeks]See the playbook →
/ Industries
Where we go deep.
Each vertical has dedicated teams, pre-built data models, and reference architectures shaped by hundreds of engagements.
/01Retail & eCommerce→
/02Healthcare→
/03Finance & Fintech→
/04Automotive→
/05Real Estate→
/06Logistics→
/07Media→
/08Education→
Retail & eCommerce
Omnichannel platforms with unified inventory, AI merchandising, and storefronts that learn from every order.
See Retail & eCommerce work →Healthcare
HIPAA-conscious patient platforms, operational AI, and connected systems for providers and pharmacies.
See Healthcare work →Finance & Fintech
Secure lending, payments, and decision-intelligence platforms built for audits, uptime, and scale.
See Finance & Fintech work →Automotive
Dealer commerce, VIN & fitment catalogs, and service platforms connected to live inventory nationwide.
See Automotive work →Real Estate
PropTech platforms, CRM-ERP integration, and AI valuation models for developers and brokerages.
See Real Estate work →Logistics
Route intelligence, warehouse automation, and end-to-end shipment visibility on one operational spine.
See Logistics work →Media
Content platforms, subscription commerce, and audience analytics that turn viewers into recurring revenue.
See Media work →Education
Learning platforms, enrollment systems, and AI tutoring experiences for institutions and edtech firms.
See Education work →/ In their words
Hear it from the people who run on it.
Brainvire demonstrated reliability, a commitment to delivery, and helped us maintain momentum on critical roadmap items.
/ Recognition
Third parties say it better.
2026Clutch
Top eCommerce Developers
2025Financial Times
The Americas’ Fastest-Growing Companies
2025Inc. Regionals
Fastest-growing private companies in America
2024Deloitte Technology Fast 500
North America’s fastest-growing tech companies
As covered byClutchGoodFirmsGartner Peer InsightsG2Financial Times
/ Next step
Let's decide what your data layer runs on next.
A 30-minute working session with a Brainvire architect: your schema, scale plan, and AI roadmap, on one page.
Book a Working Session →