100%. All code, documentation, and IP belongs to you from Day 1. If you ever decide to bring development in-house, we conduct structured knowledge transfer and can overlap with your incoming team.

Dedicated AI Team · Sprint-Based Delivery · Full Code Ownership

Dedicated AI Teams Built for Rapid Delivery

Q: What's the minimum commitment?

2-3 months. This gives the Pod enough time to onboard, deeply understand your domain, and deliver impactful results. After the initial period, you continue month-to-month or adjust Pod size with 15 days notice.

Q: How is a Managed Pod different from staff augmentation?

Staff augmentation gives you individual contractors that you manage. A Managed Pod is a complete, self-organising team that takes ownership of outcomes. We handle sprint planning, QA, and final delivery so you can focus on product direction.

Q: How quickly can the Pod start?

Typically within 1–2 weeks from contract signing. Week 1 covers onboarding, codebase review, and first sprint planning. By Week 2–3, the AI Managed Pod by Ciphernutz is delivering working features.

Q: Can I scale the Pod up or down?

Yes. After the initial 3-month period, you can add or remove team members with 15 days notice. Many clients start on the Starter Pod and upgrade it ahead as their AI alignment grows.

Q: What AI technologies does the Pod work with?

Our engineers work across the full AI stack - LLMs (OpenAI, Anthropic Claude, Gemini, open-source models), RAG pipelines (LangChain, LlamaIndex), agent frameworks, vector databases, Python, Node.js, React/Next.js, and cloud platforms (AWS, Azure, GCP).

Q: What if the Pod isn't meeting expectations?

We address it immediately. If the plan of action or any team member isn't the right fit, we replace them within 2 weeks. Monthly reviews include explicit feedback loops and course-correction.

Launch AI products faster with a dedicated cross-functional AI Managed pod - from AI agents and automations to predictive systems and SaaS platforms. No overhead.

1-2 WksKickoff to Sprint

40-60%Lower Hiring Cost

2 WksSprint Live Demos

100%Code Ownership

The Problem

Hiring AI engineers sounds simple. It isn't.

The AI talent market is the most competitive in tech right now. Companies that try to build in-house waste months and hundreds of thousands - while their competitors are shipping AI features every sprint.

The Cost of Hiring AI Engineers

A single senior AI engineer in the US costs $180K-$250K in salary alone. Add benefits, recruiting fees, and management overhead and you're at $300K+ per hire, per year - before they ship a single feature.

Avg. $300K+ per hire annually

Hiring Delays Kill Momentum

Posting, screening, interviewing, negotiating, onboarding - the full cycle takes 3-6 months per AI hire. By the time your team is assembled, your competitors are 2 product versions ahead.

3-6 months per engineer hire

Freelancers Leave Projects

Individual contractors juggle multiple clients, have no accountability for long-term outcomes, and take their institutional knowledge with them when the engagement ends. No QA. No continuity. No ownership.

No continuity or ownership

The Problem

Hiring AI engineers sounds simple. It isn't.

Posting, screening, interviewing, negotiating, onboarding - the full cycle takes 3-6 months per AI hire. By the time your team is assembled, your competitors are 2 product versions ahead.

Zero continuity between engagements: The AI Managed Pod replaces all of this - a complete, accountable AI team in your Slack by Week 1.

What Every Pod Includes

Six pillars of managed delivery. Every pod, every tier.

Each AI pod combines strategy, engineering, QA, delivery management, automation workflows, and sprint execution.

Dedicated Cross Functional Team

A fixed team of dedicated AI engineers, QA, and a Tech Lead working exclusively on your product. Not rotating contractors. They build institutional knowledge that compounds over time.

Fixed team · Exclusive to you · Domain expertise

Sprint-Based Delivery With Live Demos

Every 2-week sprint ends with a demo of working software and a retrospective. You see progress, give feedback, and steer priorities. No black boxes. No waiting months for a reveal.

2-week sprints · Biweekly demos · Retrospectives

Architecture Reviews & Technical Guidance

Your Tech Lead provides AI architecture guidance, build-vs-buy analysis, model selection recommendations, and technology decisions - not just task management.

Architecture reviews · Tech strategy · Build vs. buy

Your Tools, Not Ours

The Pod integrates with your existing project management setup — Jira, Linear, GitHub Projects, or Asana. No new tools to learn or adopt

Jira / Linear · GitHub Projects · Your workflow

Direct Communication Access

Your Pod joins your Slack or Teams channels. No ticketing systems for day-to-day communication. Talk to your engineers directly, in real time.

Slack / Teams · Direct access · Overlap hours

Multi-Agent Orchestration

Monthly reports covering velocity, completed features, and Pod performance metrics. We recommend team adjustments proactively as your needs evolve.

Monthly Progress Report

What Every Pod Includes

Six pillars of managed delivery. Every pod, every tier.

A fixed team of dedicated AI engineers, QA, and a Tech Lead working exclusively on your product. Not rotating contractors. They build institutional knowledge that compounds over time.

Every 2-week sprint ends with a demo of working software and a retrospective. You see progress, give feedback, and steer priorities. No black boxes. No waiting months for a reveal.

Your Tech Lead provides AI architecture guidance, build-vs-buy analysis, model selection recommendations, and technology decisions - not just task management.

The Pod integrates with your existing project management setup — Jira, Linear, GitHub Projects, or Asana. No new tools to learn or adopt

Your Pod joins your Slack or Teams channels. No ticketing systems for day-to-day communication. Talk to your engineers directly, in real time.

Monthly reports covering velocity, completed features, and Pod performance metrics. We recommend team adjustments proactively as your needs evolve.

The 2-Week Sprint

From contract to shipping live features in under 2 weeks

Every phase has a named deliverable. You approve the success criteria before we write a line of code. No surprises at the end.

Discovery & Pod Assembly

We assess your codebase, tech stack, and AI objectives. We assemble a Pod with the right skill mix and define your first sprint priorities together.

Onboarding & First Sprint

Your Pod reviews documentation, sets up environments, integrates with your project management tools, and delivers working features in the first sprint.

Sprint Cadence

2-week sprints with planning, demos, and retrospectives. You review, give feedback, and steer priorities. Working AI features delivered every fortnight.

Reviews & Optimisation

Monthly progress reports, roadmap adjustments, Pod performance reviews, and team size recommendations based on your evolving needs.

Why Teams Choose Managed Pods

AI Managed Pods vs. Staff Augmentation vs. Freelancers

Get dedicated AI execution with fixed sprint delivery, clear ownership, and cross-functional teams.

	AI Managed Pod	Staff Augmentation	Freelancers
Team accountability	Complete team, shared ownership	Individual hires you manage	Solo operators, no accountability
Delivery management	We own QA, sprints, and delivery	You govern everything	You manage everything
Domain knowledge	Compounds over time	High turnover, knowledge walks out	No continuity between engagements
Architecture guidance	Tech Lead included	Not included	Not included
Pricing	Fixed monthly, no surprises	Hourly billing, costs escalate	Variable quality and availability
Time to first sprint	1-2 Weeks	2-4 Weeks	1-2 Weeks

Transparent Pricing

Choose the Right AI Pod for Your Growth Stage

Our sprint-based pods provide dedicated engineering teams with transparent monthly pricing and rapid execution.

Starter Pod

$ 8,000

Ideal for single-workstream AI development

1 FullStack Dev Full Time
Tech Lead Part Time
Product Manager Part Time

Growth Pod

$ 12,000

For teams shipping multiple AI features per sprint

2 FullStack Developer/AI Engineer Full Time
Tech Lead Part Time
Product Manager Full Time

Scale Pod

$ 18,000

Full AI engineering team with DevOps and infra

2 FullStack Developer Full Time
1 AI/ML Engineer
Tech Lead Full Time
Product Manager Full Time

Your competitors are shipping AI faster. Are you?

Deploy a dedicated AI Managed Pod in 1-2 weeks and start shipping AI workflows, agents, and automations without the overhead of hiring in-house.

Looking for a different AI solution?

Related Services to Explore

Not Ready for a Full AI Managed Pod Yet? Start Here.

AI Readiness Audit

Not sure what to build first? Start with a 1-week audit that maps your AI opportunities and tells you exactly which Pod composition to start with.

→

AI Agent Development

Validate a specific AI agent idea in 4 weeks before committing to ongoing development. The natural on-ramp to a Managed Pod.

→

AI Workflow Automation

Need 4 live automations fast, without ongoing commitment? The Sprint delivers production workflows in 3 weeks.

→

AI MVP Development

Turn your AI product idea into a working MVP with rapid sprint-based execution, we help startups and enterprises build scalable AI products faster.

→

Looking for a different AI solution?

Related Services to Explore

Not sure what to build first? Start with a 1-week audit that maps your AI opportunities and tells you exactly which Pod composition to start with.

→

Validate a specific AI agent idea in 4 weeks before committing to ongoing development. The natural on-ramp to a Managed Pod.

→

Need 4 live automations fast, without ongoing commitment? The Sprint delivers production workflows in 3 weeks.

→

Turn your AI product idea into a working MVP with rapid sprint-based execution, we help startups and enterprises build scalable AI products faster.

→

Frequently Asked Questions

What's the minimum commitment?

How is a Managed Pod different from staff augmentation?

How quickly can the Pod start?

Can I scale the Pod up or down?

Do I own the code?

What AI technologies does the Pod work with?

What if the Pod isn't meeting expectations?

Tell Us What You Want to Build

Share your AI use case, workflow bottlenecks, or automation goals. Our team will review your requirements and recommend the right AI Managed Pod within 24 hours.

Dedicated AI Teams Built for Rapid Delivery

Hiring AI engineers sounds simple. It isn't.

The Cost of Hiring AI Engineers

Hiring Delays Kill Momentum

Freelancers Leave Projects

Hiring AI engineers sounds simple. It isn't.

Six pillars of managed delivery. Every pod, every tier.

Dedicated Cross Functional Team

Sprint-Based Delivery With Live Demos

Architecture Reviews & Technical Guidance

Your Tools, Not Ours

Direct Communication Access

Multi-Agent Orchestration

Six pillars of managed delivery. Every pod, every tier.

From contract to shipping live features in under 2 weeks

AI Managed Pods vs. Staff Augmentation vs. Freelancers

Choose the Right AI Pod for Your Growth Stage

Starter Pod

$ 8,000

Growth Pod

$ 12,000

Scale Pod

$ 18,000

Your competitors are shipping AI faster. Are you?

Related Services to Explore

AI Readiness Audit

AI Agent Development

AI Workflow Automation

AI MVP Development

Related Services to Explore

Frequently Asked Questions

What's the minimum commitment?

How is a Managed Pod different from staff augmentation?

How quickly can the Pod start?

Can I scale the Pod up or down?

Do I own the code?

What AI technologies does the Pod work with?

What if the Pod isn't meeting expectations?

Tell Us What You Want to Build

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