Big News
Crux Achieves AWS GenAI Competency, officially recognized as a GenAI Specialist Partner!

Deploy AI Engineering Pods That Build, Integrate & Scale Fast

Plug into delivery-ready AI pods—pre-aligned with architects, engineers, and domain experts—purpose-built to execute with Agentic AI orchestration. From PoCs to pipelines to production, we bring full-stack capability without the lag of ramp-ups or the burden of hand-holding.
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What We Offer

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We embed full-stack AI teams into your engineering org-ready to build, integrate, and scale with zero hand-holding.
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Pre-Aligned AI Pods for Fast Starts
Architect-led pods with ML/LLM engineers, product PMs, and DevOps—ready to ship from Week 1.
LLM-Aware Engineering & Agentic Workflow Execution
Build agentic systems, prompt routers, and grounded pipelines with in-loop feedback orchestration.
Cloud-Native & Regulated Stack Integration
Pods work within your AWS/GCP/Azure stack and regulatory guardrails—HIPAA, SOC 2, GxP, and more.
AI Features & Copilot Delivery
Ship production copilots for clinicians, finance ops, analysts, or support agents—complete with testing and monitoring.
Reusable Patterns & Internal Platformization
Turn pilot features into reusable stacks and toolchains—accelerating long-term AI development velocity.
Execution Pods, Not Staff Aug
Our pods are outcome-tied, goal-aligned, and owned by delivery leads—not contractor pools or resume racks.

Pre-Aligned AI Pods for Fast Starts

Architect-led pods with ML/LLM engineers, product PMs, and DevOps—ready to ship from Week 1.

LLM-Aware Engineering & Agentic Workflow Execution

Build agentic systems, prompt routers, and grounded pipelines with in-loop feedback orchestration.

Cloud-Native & Regulated Stack Integration

Pods work within your AWS/GCP/Azure stack and regulatory guardrails—HIPAA, SOC 2, GxP, and more.

AI Features & Copilot Delivery

Ship production copilots for clinicians, finance ops, analysts, or support agents—complete with testing and monitoring.

Reusable Patterns & Internal Platformization

Turn pilot features into reusable stacks and toolchains—accelerating long-term AI development velocity.

Execution Pods, Not Staff Aug

Our pods are outcome-tied, goal-aligned, and owned by delivery leads—not contractor pools or resume racks.

Industries We Support

Discover Your Use Case
AI Pods That Work With Your Domain, Stack & Risk Profile
Discover Your Use Case

Healthcare & Digital Health

Delivered LLM-based clinical copilots with audit trails, EHR integration, and PHI compliance.

SaaS & Platforms

Embedded pods inside product orgs to build AI copilots, search, and user-facing GenAI features.

Pharma & Life Sciences

Shipped GenAI tools for research workflows, protocol generation, and content summarization.

Semiconductors & Hardware

Built internal copilots for design teams, edge-case simulation pipelines, and predictive tooling.

Insurance & Financial Services

Claims processors, risk scoring copilots, and prompt-safe assistants built with guardrails.

Retail & Supply Chain

Agentic LLM apps for demand prediction, pricing optimization, and ops visibility.

Perspectives

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Real-world learnings, bold experiments, and large-scale deployments - shaping what’s next in the pivotal AI era.
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FAQs About Plug & Play AI Pods

What’s actually in an AI Pod?

Each pod includes a tailored mix of AI/ML engineers, LLM specialists, architects, data scientists, and product-aligned PMs — pre-aligned to your stack and goals.

How fast can you deploy a pod?

 Pods typically mobilize within 3–7 business days — no extra onboarding required. They plug into your toolchain, repo structure, and cadence with zero ramp-up friction.

How is this different from a staff augmentation model?

This isn’t staff aug. You get a cohesive team with shared context, built-in orchestration capability, and aligned ownership — measured by deliverables, not hours.

Can your pods build full products or just PoCs?

Both. We’ve shipped PoCs in weeks and taken products from zero to production — including eval loops, observability, and compliance hooks.

How do you ensure pod performance and accountability?

Every pod has a dedicated lead and delivery framework. We track outcomes, velocity, model quality, and stakeholder satisfaction — tied to delivery KPIs, not vanity metrics.

What’s the first step to engage?

We start with a short call to understand your initiative — then design a custom pod structure that’s right-sized, technically matched, and aligned with what you need to ship.