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AI Learning PersonalizationSmart content recommendationsHotel AI ConciergeAI assistant for hotel guestsClaims Documentation AutomationPlatform for faster claims processingAI for Candidate ScreeningSmart HR efficiency boosterAI Voice AgentAI agent for hands-free learningLLM Legal SummarizationEfficient and fast legal summariesVision-Based Driving AssistanceReal-time threat detection system - Company
Yellow in Numbers
$2.1B+
Value generated through AI innovation47
Custom LLMs and AI agents deployed30M+
Engaging with products we created98%
Projects delivered within agreed budget
Your dedicated Al engineering team. Fully managed. Outcome driven.
We integrate Al into your products and operations to cut costs, automate routine work, and help you achieve more with a smaller team.
AI MANAGED POD
30-70% lower engineering costs
30-50% less routine work
2-4x faster time to market
100% focused on your success
Trusted by engineering teams at
A New Operating Model Benefits
Traditional Team
10
People required
Slower delivery
Higher operational cost
Heavy coordination overhead
AI Managed Pod
2–4
Senior specialists + 5–15 AI agents
2–4× faster delivery
30–70% lower cost
Outcome-driven execution
What's Inside a Yellow AI Pod
Instead of automatically assembling a 10-person engineering team, we build compact pods of senior specialists supported by AI agents. The pod includes
5-15+ AI agents
Specialized agents for coding, testing, research, documentation, data processing, monitoring, infrastructure, and other workflows.
You manage the outcome. We manage the pod.
Human vs. Agent Work
An AI Managed Pod is a dedicated, outcome-focused team built around human expertise + AI agents. Humans stay responsible for judgment, architecture, creativity, security, and strategic decisions. Agents handle the execution that machines can do faster.
Human
Sets objectives
Makes architectural decisions
Reviews critical outputs
Owns business context
Handles ambiguity
Controls quality
AI Agents
Generate and refactor code
Create tests
Analyze repositories
Research solutions
Write documentation
Process data
Monitor systems
Automate repetitive workflows
Support deployment and operations
How AI Managed Pods Work
We analyze your product, roadmap, architecture, workflows, and constraints. Make task decomposition for humans and agents.
We assemble the smallest senior team capable of owning the project and configure specialized AI agents around them.
Integrate agents from code repositories and documentation to ticketing systems, databases, cloud infrastructure, and internal APIs.
We define permissions, approval flows, security controls, testing requirements, evaluations, and human checkpoints.
We continuously measure where agents save time, where humans remain necessary, and where additional automation can increase throughput.
Pricing
One monthly fee, one senior team, continuous delivery. Pause or cancel between sprints. Every pod is AI-powered and reviewed by senior engineers.
Core pod | Scale pod | Enterprise pod | |
|---|---|---|---|
Price | $25,000/month | $49,000/month | $65,000/month |
Best for | Early AI products and focused proofs of concept | Team shipping real AI features on a steady cadence | Complex, production-grade AI systems at scale |
The team | Lead architect + 1 senior engineer + 5 AI agents. | Lead architect + 2–3 senior engineers + 10 AI agents | Lead architect + 4 senior engineers + 20 AI agents |
Not sure where to start?
Our Works
Here’s what we already built for our clients.
Managed Pod vs. In-house Hiring vs. Staff Augmentation Comparison
Hiring in-house | Staff augmentation | Yellow AI pod | |
|---|---|---|---|
Time to start | 3–9 months | 2–4 weeks | Within a week |
Delivery ownership | Shared | Partial | Full |
Management burden | High | High | Low |
QA coverage | Separate hire | Optional | Built in |
Cost | Variable + overhead | Hourly | Fixed monthly fee |
Model expertise | Variable | Variable | Anthropic partnership |
Flexibility | Low | Medium | High, roll off when done |
What You Get
Dedicated senior specialists+AI agents
A team and agents designed around real engineering workflows.
Managed delivery
We own pod coordination, execution, and delivery.
AI infrastructure
Model orchestration, agent tooling, integrations, observability, and evaluation.
Security controls
Permissions, human approvals, data boundaries, and governance built into agent workflows.
Why Choose Yellow?
We are an Anthropic partner
Our engineers have direct access to model capabilities, early feature previews, and technical guidance from the team that built Claude.
AI-Native From Day One
The pod is designed around AI. Architecture, workflows, tooling, processes, testing, documentation, and delivery are structured around collaboration between humans and agents.
No False Promises
If a use case is risky, we tell you. If a model is likely to underperform under your constraints, we say so before you have spent the budget. Some vendors hide uncertainty behind confident language. We find that approach costs clients more in the long run.
Security first
AI systems touch sensitive data and make real decisions. Prompt injection, data leakage, and model abuse are genuine attack surfaces. We handle access control, encryption, and audit logging from the first line of code, not as a last-minute patch.
Ready to put a senior AI-powered team on your project?
FAQ
What is an AI Managed Pod?
How many people are in an AI Managed Pod?
What does being an Anthropic partner mean in practice?
How fast can a pod start?
How is this different from staff augmentation?
How is an AI Managed Pod different from a dedicated development team?
Can a pod work with our existing codebase and tools?
What projects are best suited for AI Managed Pods?
How much does a pod cost?