Dedicated AI Teams Built for Rapid Delivery
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
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
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.
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.
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.
Zero continuity between engagements
The AI Managed Pod replaces all of this - a complete, accountable AI team in your Slack by Week 1.
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
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.
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.
1
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.
2
Onboarding & First Sprint
Your Pod reviews documentation, sets up environments, integrates with your project management tools, and delivers working features in the first sprint.
3
Sprint Cadence
2-week sprints with planning, demos, and retrospectives. You review, give feedback, and steer priorities. Working AI features delivered every fortnight.
4
Reviews & Optimisation
Monthly progress reports, roadmap adjustments, Pod performance reviews, and team size recommendations based on your evolving needs.
AI Managed Pods vs. Staff Augmentation vs. Freelancers
Get dedicated AI execution with fixed sprint delivery, clear ownership, and cross-functional teams.
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
Most popular
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.
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.
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.