What We Do

Engineering services across the full product lifecycle. Whether you’re starting from zero or scaling to millions, we’ve likely done something similar.

Our Services

Each practice area is led by engineers who've built and operated these systems themselves—often for years before joining our team.

🤖

AI & Machine Learning

Practical AI that solves real problems—from traditional ML to LLM integration, built for production, not demos.

AI is powerful when applied to the right problems with realistic expectations. We've built recommendation systems, fraud detection, NLP pipelines, and LLM-powered applications—all in production, handling real traffic. We're excited about what's possible but grounded in what actually works. No magic, no hype, just engineering.

Key capabilities:

  • [map[desc:Scikit-learn, XGBoost, and classical algorithms that often outperform deep learning for structured data. title:Traditional ML] map[desc:PyTorch and TensorFlow for problems that genuinely require neural networks. title:Deep Learning] map[desc:OpenAI, Anthropic, open-source models—prompt engineering, fine-tuning, and RAG architectures. title:LLM Integration] map[desc:MLflow, Kubeflow, SageMaker, Vertex AI—infrastructure for the full model lifecycle. title:MLOps Platforms]]
  • Technical Capabilities
☁️

Cloud-Native Development

Building systems that leverage the cloud's real strengths—elasticity, managed services, and operational simplicity.

The cloud changes what's possible, but only if you design for it. We've helped teams move past "lift and shift" thinking into architectures that genuinely leverage cloud primitives. The result is systems that scale smoothly, cost less to operate, and don't require weekend maintenance windows.

Key capabilities:

  • [map[desc:Deep experience across EC2, ECS, Lambda, RDS, DynamoDB, S3, CloudFormation, and the broader ecosystem. title:AWS] map[desc:GKE, Cloud Run, BigQuery, Pub/Sub, Cloud SQL—particularly strong for data-intensive workloads. title:Google Cloud] map[desc:AKS, Azure Functions, Cosmos DB, and the Microsoft integration story for enterprise environments. title:Azure] map[desc:Terraform, Pulumi, CloudFormation—codified infrastructure that's reviewable and repeatable. title:Infrastructure as Code]]
  • Our Cloud Expertise
📊

Data Engineering

Building data infrastructure that scales—pipelines, warehouses, lakes, and the plumbing that makes analytics actually work.

Data engineering is plumbing. Unglamorous, essential plumbing. We build the infrastructure that moves data from where it's created to where it's useful—reliably, at scale, without waking anyone up at night. Whether you're building your first analytics pipeline or managing petabytes across a data lakehouse, we've done this before.

Key capabilities:

  • [map[desc:Spark, dbt, and traditional ETL patterns for high-volume, scheduled data movement. title:Batch Processing] map[desc:Kafka Streams, Flink, Spark Streaming for real-time analytics and event-driven architectures. title:Stream Processing] map[desc:Airflow, Dagster, Prefect—workflow management that handles dependencies and failures gracefully. title:Orchestration] map[desc:Dimensional modeling, data vault, or whatever approach fits your analytical needs. title:Data Modeling]]
  • Technical Foundations
🔄

DevOps & Platform Engineering

Building the systems and practices that let your team ship with confidence, speed, and safety.

DevOps isn't a team you hire—it's how your organization builds and operates software. We help teams implement the tooling, automation, and cultural practices that make continuous delivery actually work. Not the cargo-cult version, but the real thing: fast, safe, reliable software delivery.

Key capabilities:

  • [map[desc:Git as the source of truth for both application code and infrastructure configuration. title:GitOps Workflows] map[desc:Kubernetes, ECS, Nomad—managed properly so your team can focus on applications, not cluster operations. title:Container Orchestration] map[desc:HashiCorp Vault, AWS Secrets Manager, or cloud-native solutions—keeping credentials out of code. title:Secrets Management] map[desc:Metrics, logs, and traces that actually help you understand what's happening in production. title:Observability Stack]]
  • Platform Building Blocks
🖥️

Infrastructure & Operations

Building and operating the platforms your applications run on—reliable, secure, and cost-effective.

Infrastructure is the foundation everything else depends on. We design, build, and operate platforms that are reliable, secure, and efficient. Whether you're running on AWS, GCP, Azure, on-premises, or a hybrid, we bring the operational experience to keep things running smoothly while your team focuses on building product.

Key capabilities:

  • [map[desc:VMs, containers, Kubernetes, serverless—the right abstraction for each workload. title:Compute] map[desc:VPCs, load balancing, CDNs, DNS—connectivity that's secure and performant. title:Networking] map[desc:Block, object, file systems—data storage that matches your access patterns and durability needs. title:Storage] map[desc:RDS, Aurora, Cloud SQL, DynamoDB—managed databases configured for your workload. title:Databases]]
  • Technical Foundations
🔗

Microservices & Architecture

Designing systems that scale organizationally and technically—service boundaries, APIs, and distributed system patterns.

Microservices aren't a goal—they're a tool for managing complexity at scale. We help teams design service boundaries that align with their organization, implement patterns that handle the realities of distributed systems, and avoid the common pitfalls that turn microservices into distributed monoliths. Sometimes the right answer is fewer services, not more.

Key capabilities:

  • [map[desc:Bounded contexts and aggregates that map to real business capabilities. title:Domain-Driven Design] map[desc:Contracts defined before implementation, enabling parallel development. title:API-First Development] map[desc:Distributed tracing, metrics, and logging that make complex systems debuggable. title:Observability] map[desc:Retries, timeouts, bulkheads, and circuit breakers for graceful degradation. title:Resilience Patterns]]
  • Architectural Patterns
🔒

Security Engineering

Building security into systems from the start—architecture, implementation, and operational practices that actually protect.

Security bolted on at the end is expensive and ineffective. We build security into systems from the architecture phase, implementing defense in depth, least privilege, and secure-by-default patterns. We've helped companies pass SOC 2 audits, achieve HIPAA compliance, and defend against real attacks. Security isn't a feature—it's a property of well-built systems.

Key capabilities:

  • [map[desc:Network design that assumes breach and verifies every request, regardless of origin. title:Zero Trust Architecture] map[desc:HashiCorp Vault, cloud KMS, and patterns for keeping credentials out of code and logs. title:Secrets Management] map[desc:SAST, DAST, dependency scanning, and infrastructure scanning in your deployment pipeline. title:Security Automation] map[desc:Evidence collection, control mapping, and audit preparation that doesn't consume your team. title:Audit & Compliance]]
  • Security Domains
⚡

Serverless & Functions

Event-driven architectures that scale automatically and cost nothing when idle—Lambda, Cloud Functions, and beyond.

Serverless isn't just Lambda functions. It's an architectural approach that leverages managed services to minimize operational burden and align cost with usage. We build event-driven systems that scale from zero to millions of requests without capacity planning or cluster management. When it fits, serverless is transformative. When it doesn't, we'll tell you.

Key capabilities:

  • [map[desc:Event-driven compute integrated with the full AWS ecosystem. title:AWS Lambda] map[desc:Lightweight functions with strong GCP integration, especially for data workloads. title:Google Cloud Functions] map[desc:Microsoft's serverless compute with deep enterprise integration. title:Azure Functions] map[desc:Cloudflare Workers, Lambda@Edge—compute at the CDN layer for global low-latency. title:Edge Functions]]
  • Serverless Platforms
🎨

UI/UX Engineering

Building user interfaces that are fast, accessible, and pleasant to use—frontend engineering with craft.

Great products need great interfaces. We build frontends that are fast, accessible, and maintainable—React, Vue, or vanilla JavaScript depending on what fits. We're engineers who care about design, working closely with your designers or providing design direction when needed. The goal is software that people actually enjoy using.

Key capabilities:

  • [map[desc:React, Next.js, Redux, React Query—production-grade applications at scale. title:React Ecosystem] map[desc:Vue 3, Nuxt, Pinia—when Vue is the right choice for your team or project. title:Vue Ecosystem] map[desc:Type safety that catches bugs before production and makes codebases navigable. title:TypeScript] map[desc:Jest, Playwright, Cypress—automated testing that gives confidence in deployments. title:Testing]]
  • Frontend Technologies