Services

Production-grade engineering across data, AI, SaaS, full-stack, and infrastructure. Each engagement includes clear deliverables, realistic timelines, and measurable outcomes.

Data Analytics & Decision Systems

From raw data to decisions you can defend

4-12 weeks

We build analytics systems that leadership actually trusts. This means clear metric definitions, reliable data models, and dashboards designed for decision-making—not just visualization.

Best for

  • Teams with unreliable dashboards
  • Organizations needing single source of truth
  • Leadership wanting data-driven decisions

Deliverables

  • Data architecture review
  • Semantic layer design
  • KPI framework and metric definitions
  • Interactive dashboards (Power BI, Tableau, Custom)
  • Data quality monitoring
  • Documentation and training

Example outcomes

  • Dashboards that teams actually use daily
  • Single source of truth for metrics
  • Report generation reduced from days to minutes
Tech Stack

SQL, Python, dbt, Snowflake, BigQuery, Looker, Power BI

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Agentic AI Automation

AI that works in production, not just demos

6-16 weeks

We build AI systems that handle real-world complexity. This means proper RAG architectures, multi-step agents with tool calling, human-in-the-loop patterns, and evaluation frameworks that catch failures before users do.

Best for

  • Teams automating knowledge-intensive workflows
  • Organizations processing large document volumes
  • Companies wanting internal AI copilots

Deliverables

  • RAG system with vector search
  • Multi-tool agents with orchestration
  • Human-in-the-loop review interfaces
  • Guardrails and content filtering
  • Evaluation suite and monitoring
  • Production deployment with observability

Example outcomes

  • 60%+ reduction in manual processing time
  • Consistent handling of edge cases
  • Auditable AI decisions with full traceability
Tech Stack

LangChain, OpenAI, Anthropic, Vector DBs (Pinecone, Weaviate), Python

Client data is never used for model training. All processing happens in your infrastructure or isolated cloud environments.

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SaaS Platform Development

From MVP to scalable product

8-20 weeks

We build SaaS platforms with the architecture decisions that matter early: proper multi-tenancy, role-based access control, subscription billing, and the observability needed to grow without firefighting.

Best for

  • Founders scaling MVP to v1
  • Teams rebuilding brittle early codebases
  • Companies needing multi-tenant architecture

Deliverables

  • Multi-tenant architecture design
  • Authentication and authorization (SSO, RBAC)
  • Subscription and billing integration
  • Admin dashboards and user management
  • API design and documentation
  • CI/CD and infrastructure setup

Example outcomes

  • Production-ready platform serving multiple customers
  • Clear path from current users to 100x scale
  • Development velocity that improves over time
Tech Stack

Next.js, React, Node.js, PostgreSQL, Stripe, Auth0, AWS/GCP

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Full-Stack Engineering

Modern applications built for maintainability

6-16 weeks

We build web and mobile applications with clean architecture, proper testing, and code that your future team (or ours) can actually maintain. No shortcuts that become technical debt.

Best for

  • Companies building new products
  • Teams modernizing legacy systems
  • Organizations needing internal tools

Deliverables

  • Full-stack web or mobile application
  • Clean, documented codebase
  • Automated testing suite
  • API design and integration
  • Responsive, accessible UI
  • Deployment and handover documentation

Example outcomes

  • Application that meets business requirements
  • Codebase your team can maintain
  • Foundation for continued development
Tech Stack

React, Next.js, TypeScript, Node.js, Python/FastAPI, PostgreSQL, React Native

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Cloud, DevOps & Observability

Infrastructure that makes shipping safe

4-12 weeks

We treat infrastructure as a first-class product. Your systems should be repeatable, observable, and easy to deploy—not a pile of shell scripts that only one person understands.

Best for

  • Teams with deployment anxiety
  • Organizations needing better monitoring
  • Companies migrating to cloud

Deliverables

  • Infrastructure as Code (Terraform)
  • CI/CD pipeline setup (GitHub Actions, GitLab)
  • Container orchestration (Docker, Kubernetes)
  • Monitoring and alerting (Datadog, Grafana)
  • Log aggregation and search
  • Disaster recovery and backup strategy

Example outcomes

  • Confident, zero-downtime deployments
  • Full visibility into system behavior
  • Faster incident response and resolution
Tech Stack

Terraform, Docker, Kubernetes, AWS, GCP, Azure, Datadog, Prometheus

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Need a custom solution?

Many projects span multiple service areas. We'll scope a solution that fits your specific situation and constraints.

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