Services That Scale

Deep expertise across the modern data and application stack — from first line of code to production scale.

Data Analytics

We design end-to-end analytics solutions — from raw ingestion to executive dashboards. Whether it's real-time streaming analytics or batch reporting, we build systems that deliver clarity.

Custom BI dashboards using Tableau, Power BI, and Metabase
SQL & NoSQL data modelling and warehouse design
ETL pipelines with dbt, Airflow, and AWS Glue
Real-time dashboards connected to live data sources
Tableau Power BI dbt Airflow Redshift Snowflake
ANALYTICS PIPELINE — LIVE
Data Sources12 connected
Events / day4.2M
Latency120ms avg
Uptime99.98%
Cost / month↓ 42% vs prev
Pipeline health: 85/100
AI MODEL DEPLOYMENT
ModelLLM + RAG
Inference time210ms p95
Accuracy94.3%
Training data2.8M records
Status● SERVING
Model confidence: 94%

AI Integration

We bring AI from research to reality — integrating LLMs, predictive models, and intelligent automation directly into your product workflows.

LLM & RAG pipelines for intelligent search and Q&A
ML model training, tuning, and production serving
AI-powered recommendation and ranking engines
Claude / OpenAI API integrations with custom tooling
TensorFlow PyTorch LangChain Claude API SageMaker

AWS Cloud & DevOps

Cloud-native architecture designed for reliability, security, and cost efficiency. We build and manage infrastructure so you can focus on product.

Full AWS setup: EC2, Lambda, S3, RDS, DynamoDB, KMS
CI/CD pipelines with GitHub Actions and CodePipeline
Infrastructure-as-Code with Terraform and CloudFormation
Cost auditing and optimization — typical 30–50% savings
AWS Terraform Docker Kubernetes Nginx
AWS INFRASTRUCTURE
EC2 Instances3 running
Lambda Functions24 active
S3 Buckets8 buckets
Monthly Cost↓ $240 saved
Security ScoreA+
Infrastructure score: 92/100
BIG DATA STREAM
Events / sec48,000
Kafka Topics18
Data Lake Size4.8 TB
Consumers32 active
Lag0ms
Consumer throughput: 78%

Big Data Systems

Architect and build data infrastructure that handles scale without compromise — from 10K to 10M events per day.

Apache Kafka streaming pipelines for real-time processing
Data lake architecture on AWS S3 + Athena
Apache Spark for distributed batch computation
Orchestration with Apache Airflow and Prefect
Kafka Spark Airflow Redshift Athena

Our Process

01

Discovery

We understand your goals, constraints, and technical landscape in a focused scoping session.

02

Architecture

Design a scalable, cost-efficient solution blueprint before writing a single line of code.

03

Build

Rapid sprints with weekly demos. Full transparency on progress, blockers, and decisions.

04

Deploy

Production deployment with monitoring, alerting, and documentation handed over to you.

05

Support

Ongoing maintenance, optimization, and enhancements as your business evolves.

Ready to Start a Project?

Tell us what you're building and we'll scope it out — no cost, no commitment.

Let's Talk ›