Production-ready services that ship and scale

From automating repetitive workflows to building robust data and ML systems, we deliver production‑ready solutions with observable impact.

  • Start small, iterate quickly, harden for scale
  • Observability and guardrails included
  • Clear ROI: time saved, cost avoided, faster decisions
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Rapid prototyping Production SLAs Security‑minded

What we do

We combine engineering discipline with practical product sense. Start small, iterate fast, harden for scale.

Workflow Automation

Orchestrate multi‑step processes across SaaS tools and internal systems. Slash manual work with reliable automations and human‑in‑the‑loop fallbacks.

  • Approvals and handoffs
  • Reporting and QA checks
  • Email and CRM ops

Custom Applications

Internal tools, portals, and integrations that streamline operations and expose the right data to the right people.

  • Admin consoles & portals
  • APIs & system integrations
  • Auth, roles, and audit

Data Platforms & ETL

Warehouses, lakes, and pipelines with the right governance to make analytics and operations reliable.

  • ETL/ELT orchestration (dbt, Airflow)
  • Warehouse & lakehouse design
  • Quality checks & lineage

Platform Engineering

Infrastructure built as code with CI/CD, observability, and SRE practices baked in from the start.

  • Terraform, Packer, Jenkins
  • Dashboards, alerts, tracing
  • Reliability & cost guardrails

Analytics & Reporting

From source‑of‑truth models to dashboards your teams actually use to run the business.

  • Semantic layers & metrics
  • Looker, Metabase, custom
  • Self‑serve KPIs

Migrations & Modernization

Move off brittle legacy systems and adopt modern platforms with minimal downtime.

  • Replatforming & rehosting
  • Data migration & cutovers
  • Backward compatibility
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Our Process

A comprehensive approach to infra modernization that ensures quality, reliability, and success at every stage. We work closely with clients to establish realistic milestones and maintain transparent communication throughout the journey.

1. Discovery

Deep dive into business requirements, technical constraints, and success metrics. We inventory existing systems, data flows, and identify integration points. This phase establishes the foundation for everything that follows.

1-2 weeks
2. Prototype

Build a minimal viable solution to validate core assumptions. We test feasibility, user experience, and ROI potential. This rapid iteration helps identify risks early and ensures we're building the right thing.

2-4 weeks
3. Design & Architecture

Architect the full solution with scalability, security, and maintainability in mind. We design data models, API contracts, infrastructure patterns, and establish coding standards. This is where we plan for production success.

1-2 weeks
4. Development

Implement the solution using modern development practices. We follow agile methodologies with regular demos, code reviews, and continuous integration. Each sprint delivers working, tested functionality.

6-12 weeks
5. Documentation

Create comprehensive documentation including technical specs, user guides, API documentation, and operational runbooks. We ensure knowledge transfer and maintainability for your team.

2 week
6. Quality Assurance

Rigorous testing across multiple environments including unit tests, integration tests, performance tests, and security audits. We validate functionality, reliability, and performance under load.

2-4 weeks
7. User Acceptance Testing

Collaborate with your team to validate the solution meets business requirements. We conduct user training, gather feedback, and make final adjustments before production deployment.

1-2 week
8. Deployment

Deploy to production with zero-downtime strategies, monitoring, and alerting. We provide post-launch support, performance optimization, and establish ongoing maintenance procedures.

1-2 week

Typical Project Timeline: 12-24 weeks

Agile methodology with regular deliverables
Continuous feedback and iteration
Production-ready from day one
Comprehensive documentation and training

Disclaimer: These timeline estimates are based on typical project complexity and may vary depending on specific requirements, team size, scope of work, project scope, and external dependencies or blockers.

Tech we use

We pick tools for reliability, speed, and maintainability.

PostgreSQL PostgreSQL Redis Redis MySQL MySQL MongoDB MongoDB Elasticsearch Elasticsearch Apache Kafka Apache Kafka Apache Spark Apache Spark RabbitMQ RabbitMQ Apache Airflow Apache Airflow dbt dbt Docker Docker Terraform Terraform Jenkins Jenkins Travis CI Travis CI Packer Packer Vagrant Vagrant Python Python C C C++ C++ Spring Spring Kotlin Kotlin .NET .NET Looker Looker Metabase Metabase Stripe Stripe BigQuery BigQuery Ansible Ansible Chef Chef GitHub GitHub Bitbucket Bitbucket Jira Jira Confluence Confluence Flask Flask VMware VMware QEMU QEMU

FAQs

Common questions about our services and process.

How fast can we start?

We start with a discovery call and tailor a plan that fits your goals and constraints.

What's your handoff like?

Docs, runbooks, dashboards, and a recorded walkthrough. We can also stay on for support.

Can you work with our stack?

Yes—our patterns are platform‑agnostic. We integrate with your data, apps, and infra.

Ready to start your project?

Let's discuss how we can help automate workflows, build data platforms, and scale your systems.

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