Capabilities

Integrated expertise across the modern stack.

Specialized expertise in each discipline, integrated end to end. Few systems live in one layer. We are seasoned in building across them: the agent and its data, the cloud and the services on top, the platform and the teams that depend on it.

AI, ML, & data

Agentic systems and applied ML, with the data engineering that production systems run on.

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Product & software

Backend, frontend, mobile, and APIs, engineered to perform and scale.

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Cloud, DevOps, & platform

Cloud architecture, infrastructure, CI/CD, developer platforms, observability, and security.

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Legacy modernization

Modernization, AI-enabled operations, and the multi-year program execution that delivers it.

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Engagement types

Common ways to engage.

Architecture & advisory

A senior point of view on a hard decision: an architecture review, technical due diligence, or a direction to commit to.

"Build" partnership

We take an initiative from prototype to production, owning the hard engineering while your team stays close and gains capability.

Embedded team

A focused senior team works alongside yours for the duration of a critical program, raising the standard of the work.

White-label engineering

Our engineers deliver under your brand, integrated with your methodology, scaling per engagement.

Case Studies

Selected work.

Systems we’ve built and what they changed.

Global Gaming & HospitalityPlatform EngineeringCloud & CostObservabilityAutomation

Business-critical software had outgrown the platform beneath it: hundreds of microservices, rising cloud and licensing costs, slow releases, and little visibility when things broke. Embedded with their engineers for years, we made the estate observable, automated it end to end, and re-architected onto open source the group owns outright, over $1M a year cheaper to run.

$1M+saved per year on cloud & licensing, no new vendor
~3×faster release cycles
7,000+nodes under one monitoring fabric
Enterprise SaaSApplied AILLMs & RetrievalNLP

Earlier AI attempts had died as demos that never survived security review. We built an LLM system wired into the client’s knowledge base and ticketing, deployed in their own cloud to their own standards, and cut average resolution time ~30%: the measured proof that unlocked the next phase of AI investment.

~30%faster average resolution
10 wksfrom kickoff to production
0open security findings at launch
Global Gaming & HospitalityObservabilityReliability & SREOpen Source

Services had grown faster than the monitoring around them, and failures often surfaced only when they reached patrons. We built one monitoring fabric across the full in-house catalog, on open-source tooling the group owns, with every alert routed to the developer who can fix it, runbook attached.

100%of in-house services under monitoring
Dev-ownedalerts, with runbook and context attached
Predictiveanticipates failures before they reach the business
National BroadcastReal-Time DataStreamingData Visualization

Election night on a national news network: results on air, live, in front of millions, with no refresh and no second take. Our engineers architected the real-time visualization engine that carried a US presidential election broadcast without an outage.

0outages through the live coverage
Real-timehigh-volume ingestion, rendered on air as results changed
Millionsof viewers, one take
Global Gaming & HospitalitySecurity & DevSecOpsKubernetesCloud Governance

At the group’s scale, nobody could answer the basic question: what are we running, and where is the risk? We built an automated platform that scans the estate across cloud, cluster, container, and code, turning invisible exposure into a continuous, prioritized view of security and technical-debt risk.

4 layersscanned continuously, cloud to code
100sof services inventoried for risk
CIS + NISTbenchmarked to recognized standards
Multi-regiondozens of clusters, one view
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Select Tools & Technologies

Fluent across a deep stack.

We pick what fits and solves the problem, not the other way around. Here's just a slice of what we work with.

LanguagesGo, TypeScript, Python, Rust, Java
CloudAWS, GCP, Azure
PlatformKubernetes, Terraform, containers, CI/CD
DataPostgres, Kafka, Snowflake, dbt, Spark
ObservabilityOpenTelemetry, Prometheus, Grafana
AIProduction LLM systems, retrieval, evaluation
Take the next step

Let's build what's next.

Whether the hard part is AI and data, or cloud, platform, and the systems underneath, we put our senior engineers on it. Tell us where you need depth.

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