Powering Production-Grade
AI Agents
We engineer the context pipelines, data systems, and cloud infrastructure — on Redis, MongoDB, and AWS — that turn AI prototypes into scalable, reliable, and cost-efficient production systems.
Engineered pipelines that eliminate hallucinations
Most AI agents fail in production due to poor context, slow data systems, or runaway cloud costs. We fix that.
A Structured Path to Production AI
Production AI Readiness Program
Go from prototype to production in 4–8 weeks.
A structured engagement for high-growth teams scaling AI systems without accumulating architectural debt.
Infrastructure Audit
Deep dive into your data layer, performance bottlenecks, and cloud costs.
Context Pipeline Design
Design memory and retrieval systems for accuracy and reliability.
Scaling Roadmap
A proven path to low-latency, high-reliability production systems.
Cost Control
Reduce token usage and infrastructure overhead by 30%+.
Outcome: A production-ready AI system that is fast, reliable, and fully observable.
Start Your Readiness AssessmentDesigned for production-scale AI systems
Delivered through focused 4–8 week engagements
Our Capabilities: The 4 Strategic Streaks
Engineering for AI Agents across every layer.
Solutions
What We Deliver
Proven migration paths, scaling strategies, and security hardening — ready to deploy.
Production AI Readiness
A focused 4–8 week engagement to turn your AI system into a fast, reliable, and production-ready platform at scale.
Pinecone → Redis Cloud
Migrate AI vector search workloads from Pinecone to Redis Cloud — hybrid search with native BM25 scoring, VPC peering, index mapping, and query translation via RedisVL.
MongoDB → Redis for AI
Move latency-sensitive AI workloads — session memory, semantic cache, context retrieval, and vector search — from MongoDB to Redis while keeping MongoDB as your system of record.
ElastiCache → Redis Cloud
Zero-downtime migration with guaranteed data integrity and validated performance.
Couchbase → Redis via MSK
Stream-based migration using Amazon MSK with real-time sync and zero data loss.
MongoDB Community → Atlas
Seamless upgrade to fully managed Atlas with automated backups, scaling, and Atlas Search.
Oracle → MongoDB
Legacy workload migration with schema redesign, data transformation, and Redis read-optimization.
Real-Time Sync (Debezium)
CDC pipelines to keep Redis, MongoDB, and downstream systems in perfect sync.
Redis Caching Layer
Add Redis in front of Oracle, MongoDB, or any primary datastore to accelerate reads and cut database load.
Kubernetes for AI
Containerized EKS pipelines with auto-scaling and rolling zero-downtime updates.
S3 Backup & Disaster Recovery
Automated backup pipelines with point-in-time recovery and cross-region replication.
Context Pipeline Design
End-to-end context engineering — refinement, labeling, synthetic data, and memory lifecycle for AI Agents.
Security & IAM Hardening
Least-privilege IAM, VPC peering, encryption at rest and in transit, and compliance audit support.
Performance Benchmarking
Complete P50/P90/P99 profiling and continuous regression testing for production stability.
How We Work With You
Programs Built for AI Agent Teams
From your first production audit to ongoing infrastructure support — choose the engagement that fits your stage.
AI Agent Production Audit
Know in 10 business days why your AI agent will break in production — and exactly how to fix it.
- Architecture & context pipeline review
- Latency baseline & cost analysis
- Prioritized production roadmap
Production AI Readiness Program
Go from fragile prototype to production-grade agent platform.
- Full infra audit & context pipeline design
- Observability, benchmarking & SLA setup
- Cost optimization & production hardening
Production AI Support Plan
Keep your AI agents fast, reliable, and cost-controlled every month.
- Performance reviews & regression testing
- Cloud cost tracking & optimization
- Incident advisory & architecture recs
Technology Ecosystem
We Have Expertise In
Built on the platforms that power modern AI — Redis, MongoDB, and AWS at the core.
Why Partners Choose Us
100%
Visibility into your Agent's
memory, latency & cost
Real-Time
We implement & manage the
observability stack you choose
“Faster and cheaper
— simultaneously.”
Performance optimization that
pays for itself
About Us
Engineering the Backbone of Production AI
We don't just build AI — we build the infrastructure layer that makes AI production-ready, specializing in Redis, MongoDB, and AWS.
Most AI projects fail when moving from demo to production — due to context bottlenecks, data latency, or uncontrolled cloud costs. We solve this by combining Context Engineering with Cloud-Native Performance across the stack that modern AI runs on.
We ensure your AI agents are not just intelligent, but fast, reliable, and fully observable at scale. Based in India, we serve teams globally with deep expertise in high-throughput, real-time systems with strict latency and reliability requirements.
Our Foundation
15+ Years of distributed systems expertise.
Deep Specialization
Redis, MongoDB, and AWS architecture.
Proven Migration Paths
For high-throughput, real-time workloads.
Case Studies
Proven Results
Blog
Latest Thinking
Let's Talk
Ready to Scale Your Agentic Stack?
Whether you're building your first AI agent or scaling to production — tell us where you are and we'll find the right path forward.
Building an AI agent and need help? We've got you covered — from first audit to production support.