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    ArkusNexus
    AI-Native Software Development

    An AI-native development team that ships your existing backlog

    We call it the AI-Native Development Pod: senior engineers pre-equipped with an agentic workflow, and a human owning every gate.

    An AI-native development pod at work
    The Problem

    The market says use AI to replace developers. We disagree.

    AI amplifies great engineering, it doesn't substitute for it. Agents write more code than ever; the scarce thing is the senior judgment that decides what ships. A pod is built around that judgment.

    Throughput
    TraditionalSprint capacity is fixed by headcount; scope waits in the queue.
    With a podAgents implement in parallel; senior engineers direct, verify, and keep the backlog moving.
    Code quality
    TraditionalPeer review queues stretch as volume grows.
    With a podAgent-drafted code never ships without a named human owning the gate.
    Documentation
    TraditionalWritten after the fact, if at all.
    With a podSpecs, docs, and metrics are generated with the work, not after it.
    Knowledge
    TraditionalLives in individual heads; lost to turnover.
    With a podConsolidated in the Core Engram. The whole pod works from the same context.
    Accountability
    TraditionalEffort measured in hours billed.
    With a podA standing team accountable for what ships, at a fixed monthly price per person.
    How the Pod Works

    Agents draft. Humans own every gate.

    Every piece of work moves through five stages. Agents do the heavy lifting at each one; nothing advances past a checkpoint without a named senior engineer signing off.

    Process Management AgentObservability, KPIs, cost and runtime control across the whole pipeline
    AgentSpecBusiness context becomes an executable spec. POCs come straight out of this stage.
    AgentPlanThe spec is broken into a sequenced plan with checkpoints.
    AgentImplementAgents write code and unit tests against the plan.
    AgentReviewAutomated verification, then human review at the gate.
    AgentDeployPromotion through QA, staging, and production.
    Human GateContext EngineerTurns business context into specs and plans the agents can execute.
    Human GateAgent Orchestrator EngineersRun the agent fleet, split the work, and validate at defined checkpoints.
    Human GateRelease EngineerOwns quality gates, releases, and the promotion path to production.
    Human GateSecurity EngineerThreat review and compliance from spec to release.

    The team that runs your AI-era product development, on your existing backlog, verifiable in week one.

    Pod Composition

    4 senior engineers. One shared brain.

    Every pod is the same shape, so it works from day one. Four full-time senior roles, plus two things that come with the pod and are never billed as people.

    Context EngineerThe central manager. Sits with your stakeholders, turns business goals and domain context into specs and plans the agents can execute.
    Agent Orchestrator EngineersRun the agent fleet day to day: split the work, direct implementation, and validate output at every defined checkpoint.
    Release EngineerOwns the quality gates, the releases, and the promotion path through QA, staging, and production.
    Security EngineerThreat review and compliance from spec to release. HIPAA and SOC 2 requirements are addressed from the design phase.
    IncludedProcess Management AgentA supervisor agent that watches the whole pipeline: what every agent is doing, what it costs, how long it takes, and how quality metrics are trending. Reported to you.
    IncludedCore EngramThe pod's shared memory: your domain context, decisions, conventions, and codebase knowledge, consolidated in one place every agent and engineer works from, so nothing is re-learned and nothing is lost to turnover.

    Sold as a team at a fixed monthly price per person.

    What the Pod Hands Back

    Scale-ready software. Everything else is what it ships with.

    Most clients see a working prototype in 8–12 weeks. Compliance requirements like HIPAA or SOC 2 are addressed from the design phase.

    Scale-ready softwareThe deliverable. Built on your stack, in your repos, shipped to your production environment.
    POCs straight out of the spec stageWorking proofs of concept before full implementation begins, so direction is validated early.
    Unit-tested code and documentationCode ships with its unit tests, specs, metrics, and docs, generated with the work.
    QA, staging, and production environmentsA complete promotion path stood up and handed over, not just source code.
    Two Ways In

    Wherever your engineering org is, the pod fits

    Already agent-native

    Your team already runs agents in the loop. The pod plugs into your tooling, adopts your conventions through the Core Engram, and adds a delivery unit that keeps pace with the rest of your org. More verified throughput on the backlog you already have.

    Not yet agentic

    The pod becomes your working example of AI-era delivery: a live workflow your engineers can see, question, and learn from while it ships real features. You get the transformation and the throughput from the same engagement.

    Why Nearshore

    Same time zone. Same working day.

    The pod works your hours. Full US time-zone overlap means gate reviews happen in your working day, not overnight.

    San Diego (HQ)TijuanaColimaMedellín
    Proof

    23 years of shipping. Now AI-native.

    23 years of shipping production software set our bar for senior judgment. The pod applies that same bar to agentic delivery.

    23+YearsEmpowering companies with tech
    250+Vetted EngineersHighly talented, senior-led teams
    150+Historical ClientsLong-term partners across 23 years
    20+Clients AcquiredCompanies acquired while or after working with us
    92%CSAT ScoreIndustry average is ~70%

    “The companies I have founded have used ArkusNexus to do a large portion of development, and we've found the nearshoring experience really beneficial — bringing products to market faster and expanding rapidly when hiring in the US has been expensive and difficult.”

    Charles GillespieFounder, Semantic AI

    Frequently asked questions

    A team of senior engineers pre-equipped with an agentic development workflow: Spec, Plan, Implement, Review, Deploy — with a human engineer owning every gate. The pod works your existing backlog, not a separate greenfield project, so its output is verifiable in week one.
    Marketplaces place individuals. We don't sell single placements — the pod arrives as a working team with its workflow, tooling, and accountability already in place. The question that matters is who owns the gate when AI-written code ships; in a pod, a named senior engineer does.
    The pod starts on your existing backlog, so its work is verifiable in week one. Most clients see a working prototype in 8–12 weeks.
    It fits either way. Some clients bring in a pod to replace an underperforming offshore team; others use it to complement and uplevel an in-house one, working the same backlog side by side.
    As a fixed monthly price per person. You know the cost of the team before the month starts. The only variable is token usage, which we'll optimize to your needs.
    Nearshore, with full US time-zone overlap: San Diego, Tijuana, Colima, and Medellín. Headquarters are in San Diego, California.

    Put a pod on your backlog

    Bring the backlog you have today. We'll walk you through how the pod would run it, spec to deploy, gate by gate.