Data Engineering & AI Services
End-to-end data and AI solutions — from robust data infrastructure to autonomous AI agents that run your business workflows.
Data Engineering
Build scalable, reliable data infrastructure that powers your analytics and AI initiatives. We design and implement robust data pipelines that collect, transform, and deliver high-quality data.
ETL/ELT Pipeline Development
Cloud Data Warehousing (Snowflake, BigQuery, Redshift, Databricks)
Real-time Streaming & CDC (Kafka, Pub/Sub, RabbitMQ, PostgreSQL CDC)
Lakehouse Architecture (Delta Lake, Apache Iceberg)
Data Governance & Quality Management
Infrastructure as Code for Data Platforms (Terraform, CI/CD)
Technologies We Use
Languages: Python, SQL, Java, Bash
Processing: Apache Spark, PySpark, Databricks, Dataproc, EMR
Streaming: Kafka, Pub/Sub, RabbitMQ, Spark Streaming
Storage: Snowflake, BigQuery, ClickHouse, Redshift, Delta Lake, Iceberg
Orchestration: Airflow (Cloud Composer, MWAA), Dagster, dbt, Meltano
Our Approach
1. Understand
Deep dive into your business goals and data landscape
2. Design
Create tailored analytics solutions and visualization strategies
3. Implement
Build interactive dashboards and analytical models
4. Optimize
Continuously refine and enhance based on feedback
Data Analytics & BI
Transform raw data into actionable insights that drive strategic decisions. Our analytics solutions help you understand your customers, optimize operations, and predict future trends.
Dashboards & Semantic Layers (Looker, Cube.js, Superset, Grafana)
Real-Time Analytics on ClickHouse
Marketing & E-Commerce Analytics (Shopify, Meta Ads, GA4, AppsFlyer)
Business Intelligence Strategy
Reverse ETL into Your Apps & CRM
Analytics Engineering with dbt
AI/LLMs & MLOps
Harness the power of cutting-edge AI and machine learning. From custom LLM implementations to production-grade ML pipelines, we help you deploy AI that delivers real business value.
LLM Application Development (Claude, Gemini, GPT, Bedrock)
RAG Search & Question Answering over Your Documents
Multi-Model LLM Pipelines for Matching & Extraction
MLOps Pipeline & Automation
Model Deployment & Monitoring
AI Strategy & Consulting
AI Capabilities
LLM Frameworks: LangChain, LangGraph, MCP
Vector DBs: Pinecone, Weaviate
Models: Claude, Gemini, GPT, Llama, Amazon Bedrock
MLOps Tools: MLflow, GitHub Actions
Deployment: Docker, Kubernetes (GKE, EKS, AKS), FastAPI
Agentic AI & Workflow Automation
Go beyond static models — deploy AI agents that plan, reason, and act across your business systems autonomously. We design multi-agent architectures that replace manual workflows, integrate with your existing tools, and escalate to humans only when it matters.
Multi-Agent Workflow Orchestration
Business Process Automation with AI Agents
Autonomous Research & Reporting Agents
Customer Service & Sales Automation Agents
Document Processing & Extraction Agents
ERP / CRM Integration via AI Agents
Human-in-the-Loop Approval Workflows
Custom Agent Development (LangGraph, LangChain, MCP)
How It Works
1. Map Your Workflows
We audit your manual and semi-automated processes to identify high-impact automation targets.
2. Design the Agent Architecture
We architect the right mix of specialized agents — planner, executor, reviewer — with clear tool access and memory.
3. Integrate & Deploy
Agents connect to your CRM, ERP, databases, and APIs. We deploy with guardrails, logging, and fallback paths.
4. Monitor & Improve
Full observability on every agent run — latency, cost, success rate — with continuous refinement loops.
Agent Frameworks
Technologies & Platforms
We leverage industry-leading technologies to deliver robust, scalable solutions.
Let's Build Something Amazing Together
Ready to leverage the power of data and AI? Our experts are here to help.
Request a Consultation