01
Fractional Engineering Team that Ships Faster
Building an internal software development team from scratch is slow and high-risk. GeekyAnts provides managed engineering pods that work like dedicated development teams, led by senior engineers and tech leads, with the production-ready infrastructure and engineering maturity you actually need, without the overhead.
550+ Engagements Since 2006 — Trusted By
ENGINEERING STANDARDS
Dedicated High-Velocity Engineering Development Teams Without the Hiring Drag
CUSTOMER STORIES
Impact We Have Made
THE FRACTIONAL ADVANTAGE
Fractional Engineering Capacity on Demand
Engineering Expertise Inside Every Pod

TensorFlow

PyTorch

Scikit-learn

AWS Sage maker

Firebase

LangChain

LlamaIndex

Hugging Face

Google Vertex AI

Pinecone

AWS Bedrock

Weaviate

Chroma

Qdrant

GitHub

FastAPI
POD CONFIGURATIONS
Precision Dedicated Development Teams for Every Stage
3 – 5 Engineers | Seed to Series A
- Tech Lead (architecture + code review)
- 2 – 3 Senior Full-Stack Engineers
- QA / Automation Specialist
- Weekly sprint demos + async standups
- Direct Slack/Teams access
5 – 10 Engineers | Series A to B
- Engineering Manager / Delivery Lead
- 4 – 8 Senior Engineers (Frontend, Backend, Mobile)
- DevOps / Infrastructure Engineer
- QA Lead + Automation Engineers
- Bi-weekly stakeholder reviews + sprint retrospectives
10+ Engineers | Series B+
- Technical Program Manager
- Solution Architect
- Multiple feature squads (3 – 5 each)
- SRE / Platform Engineering
- Embedded QA per squad
TAKE THE FIRST STEP
For a 5-person team, a GeekyAnts Pod saves $400K – $650K per year in fully-loaded costs while shipping from week one.
INDUSTRY AGNOSTIC
AI-Powered Fractional Engineering Teams for Every Vertical
THE PROCESS
From Technical Discovery to Code in 5 Days
02
Pod Design & Matching
03
Onboarding Sprint
04
Full Velocity
Stuck in the Hiring Queue?
Schedule a consultation call to embed a fractional engineering team into your workflow within 1–2 weeks.
Trusted By
Book a Discovery Call
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EXPLORE OUR CAPABILITIES
More Ways We Can Help You with AI-Powered Product Engineering.
Prototype to Production
In 6–8 Weeks
AI-Native Engineering
Architecture Ready in 2 Weeks
Fractional Engineering Team
1–10 Skilled Engineers in 2 Weeks
Code Quality and Engineering Excellence
Code Audit in 2 Weeks
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