Engineering8 min read
Building AI Agents for Production: Lessons from the Field
What we've learned deploying autonomous AI agents in real business environments—from architecture decisions to guardrails that actually work.
Dec 15, 2025
Turn your data into a strategic asset. We build the infrastructure that powers analytics, machine learning, and AI at scale.
Trusted by 100+ innovative teams
Build reliable pipelines that move, transform, and validate data across systems — batch or real-time — with proper orchestration and monitoring.
Learn moreCreate data platforms that support analytics and ML — including data warehouses, lakehouses, and feature stores for model training and serving.
Learn moreOperationalise machine learning with training pipelines, model registries, deployment automation, and monitoring — so models run reliably in production.
Learn moreBuild infrastructure that supports AI at scale — including compute, storage, and orchestration — optimised for performance and cost.
Learn moreWhat you'll get
Break down data silos and create a single source of truth for your organization.
Purpose-built pipelines that can train, deploy, and monitor machine learning models.
Stream processing for real-time analytics, alerts, and AI-powered decisions.
Data quality, lineage tracking, and compliance controls built into the platform.
Applications
See how teams like yours are putting this service to work.
Centralized data warehouses that power business intelligence and reporting.
End-to-end MLOps infrastructure for training, deploying, and monitoring models.
Stream processing platforms for real-time recommendations, fraud detection, and personalization.
DATA TO INTELLIGENCE
Infrastructure Program
Tech Stack
We choose the right tools for your specific needs, not just what's trending. Our stack is battle-tested across hundreds of production deployments.
Case Studies
Share your project details and we'll get back to you within 24 hours with a free consultation—no commitment required.
100+
Projects Shipped
24h
Response Time
95%
Client Satisfaction
Data engineering focuses on building the infrastructure—pipelines, storage, processing systems—that makes data accessible and usable. Data science uses that infrastructure to build models and extract insights.
Often both, in a "lakehouse" architecture. We help you design the right approach based on your data types, use cases, and team capabilities.
We implement data quality checks at every stage of the pipeline—validation at ingestion, transformation testing, and monitoring in production with alerting for anomalies.
Yes. We integrate with existing tools and platforms, whether you're using cloud services, open-source solutions, or enterprise software. We meet you where you are.
Product-first thinking
We focus on real user problems, not just shipping features. Every line of code has a purpose.
Production-ready from day one
Clean architecture, scalable systems, and long-term maintainability. No throwaway code.
AI where it makes sense
Intelligence is added intentionally — never for hype. We find where AI creates real value.
Startup speed, enterprise rigor
We move fast without breaking foundations. Agility combined with discipline.
Building AI Agents for Production: Lessons from the Field
What we've learned deploying autonomous AI agents in real business environments—from architecture decisions to guardrails that actually work.
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Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002