Enterprise Milvus Engineering
The enterprise-grade vector database, built for billion-scale vector similarity search. We design, optimize, and deploy production-grade architectures utilizing the full capabilities of the Milvus ecosystem.
Milvus
Production Certified
Milvus is our vector database of choice for billion-scale vector similarity search and distributed cloud deployments. We configure Milvus clusters on Kubernetes, manage partition settings, and optimize indexes for high-throughput search.
Our Milvus Engineering Services
We deliver highly specialized, production-ready systems tailored to your technical requirements.
Milvus Cluster Architecture
We design and deploy distributed Milvus clusters on Kubernetes, configuring proxy nodes, query nodes, and storage backends.
Billion-Scale Index Tuning
We tune Milvus index settings (HNSW, IVF-PQ), balancing search speed, index time, and memory footprints.
Data Sharding & Partitioning
We divide collections using shards and partitions, optimizing query routes and reducing search scopes.
Vector Upsert Pipelines
We build batch upsert channels, importing vectors from Spark and Kafka streams into Milvus index shards.
Milvus Tooling & Stack Integrations
We operate across the entire modern ecosystem surrounding Milvus, deploying optimized dependencies and configurations.
Milvus Stack
Core SDK libraries and clients.
Underlying Storage
Storage and metadata management components.
Diagnostics
Monitoring stacks capturing query counts and latency.
Production-Grade Engineers
Top 1% Seniority
Experienced database architects deploying distributed Milvus configurations.
Immediate Velocity
Proven scaling strategies, handling billions of vectors across sharded nodes.
Compliance Native
Expert knowledge in Milvus query planning and memory parameters.
Proven Results with Milvus
Explore how we leverage Milvus to build business-critical platforms and achieve operational milestones.
Billion-Scale Image Search Index Yields Sub-30ms Queries
We built a distributed Milvus cluster on AWS EKS, indexing 1.2 billion image vectors and keeping query latency minimal.
Transaction Pattern Scanner Identifies Fraudulent Accounts
Designed an ingestion pipeline feeding transaction vectors to Milvus, matching new profiles against fraud logs.
Flexible Engagement Models
Scale your engineering capacity dynamically. We integrate seamlessly into your operations with three battle-tested engagement models.
Staff Augmentation
Inject senior AI and MLOps engineers directly into your active squads. Rapidly scale resources with dedicated support under your management.
Dedicated Team
A self-governing team of engineers, project managers, and QA specialists built specifically to design, build, and support your proprietary AI pipelines.
Full Build & Deliver
Fixed-scope or milestone-driven development. We take ownership from requirements definition and MVP design to final production handoff.
Compliance-First Deployment Standards
We integrate safety controls natively. Every Milvus application is architected to satisfy strict global compliance and privacy policies.
SOC 2 Type II
Logical isolation & logs
HIPAA PHI
PHI data de-identification
ISO/IEC 27001
International safeguards
Common Milvus Questions
Why do you use Milvus over other vector databases? expand_more
What storage backends does Milvus require? expand_more
How do you deploy Milvus? expand_more
What index types do you recommend? expand_more
How do you manage database health? expand_more
Accelerate Your AI Project with Milvus
Schedule an architectural blueprint review session with our senior Milvus engineers to map your database, compliance, and MLOps strategies.