Beyond products.Full-stack AI implementation.
We don't just build AI products — we deploy, integrate, and scale them across your enterprise infrastructure. Backed by 100+ engineers and 100+ delivered projects across manufacturing, fintech, healthcare, government, and retail.
Data Platform Engineering
We architect and deploy production data platforms that process millions of events per second. Lakehouse architectures, real-time streaming pipelines, and data mesh implementations. Our Fabric deployments were featured by Satya Nadella at MS Ignite.
AI / ML at Scale
Production ML systems — not prototypes. Anomaly detection, predictive modeling, NLP, and recommendation engines deployed at enterprise scale. We train, optimize, and monitor models across the full lifecycle.
Cloud & Infrastructure
Multi-cloud architecture design, migration, and optimization. We’ve migrated petabyte-scale workloads across GCP and Azure. Kubernetes-native platforms, Terraform IaC, and automated CI/CD pipelines.
Computer Vision & Video AI
Real-time visual inspection and defect detection systems for manufacturing and industrial operations. Edge computing deployments with sub-second inference latency. Live at Grasim Industries / Aditya Birla Group.
Voice AI
AI voice agents purpose-built for the Indian market. 15+ Indian languages including Hinglish, Tamil, and Telugu. $0.08/min. 0.4-second tone detection. Integrated with existing IVR, CRM, and ticketing systems.
ERP / CRM Integration
Deep integration across enterprise systems. Custom middleware, API orchestration, and autonomous AI agents that detect and resolve cross-system conflicts. Pre-trained on ERP and CRM schemas.
Business Intelligence
BI implementations that drive decisions, not just display data. Custom dashboards, embedded analytics, and real-time reporting connected to your data platform. 80+ dashboards deployed for Seair Exim alone.
How We Work
Assess
We start with your data, your systems, your pain points. A 2-week discovery sprint that produces a technical architecture and implementation roadmap.
Build
Our engineering team builds in 2–4 week sprints. You get working deliverables at each milestone, not a big-bang launch after 6 months.
Deploy & Support
We deploy to your infrastructure (cloud or on-premise), run acceptance testing, and provide ongoing support and iteration. Most projects go live in 8–12 weeks.
Need a custom AI solution?
Whether it's a net-new platform or extending one of our products, our engineering team is ready.

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