AI-Native Engineering Pods · US & EU
Your roadmap is moving. Your hiring isn't.
Rightshift deploys AI-native engineering pods for startups — from scoping call to shipping pod in 2 weeks.
5-person pod · 4 sprints · MVP shipped in 2 months · Seed to Series A-ready · B2B Fintech | 1 → 7-person pod · 10 sprints · MVP shipped in 5 months · 3 pilots, 1 converted · Industrial AI
3–6 months
Average engineering hire cycle
Your roadmap can't wait.
68% of funded startups
Miss sprint targets
Due to resourcing gaps, not strategy.
Body shopping
What most staffing sends
Individuals. You still manage the risk.
Elastic Engineering Capacity
Scale like AWS. Not like a headcount plan.
Add engineers when you're sprinting. Drop capacity when you're not. No notice periods. No severance. No awkward conversations. Just the right team size for what you're building right now.
Sprint Mode
Pod grows to match a push — add engineers when deadlines compress.
Cruise Mode
Pod stays right-sized for steady-state delivery.
Pause
Scale down between engagements — no cost, no hassle.
What We Do
Four Ways to Get Engineering Capacity, Fast
From one specialist to a fully custom-built product — engage at whatever level your roadmap needs.
How It Works
Scope. Match. Ship.
One accountable pod, from first call to shipped code.
Scope
30-min call. We map your delivery gap and the right pod composition.
Match
Pod assembled from our vetted AI-native network. Contracts in 48 hours.
Ship
Pod onboarded and delivering within 2 weeks. Weekly syncs. You own the output.
Proof of Work
Real pods, real outcomes
Anonymized at the client's request — industry and engagement details are real.
B2B Fintech
MVP shipped in 2 months. Now raising Series A.
A B2B fintech building a bookkeeping automation product needed to move fast. Their seed funding was in, but the team wasn't. We deployed a 5-person pod in days — engineers, a PM, and a QA lead. Four sprints later, the founder had exactly the MVP they scoped. The company is now raising Series A with live market traction.
- 5-person pod
- 2 months to MVP
- 4 sprints delivered
- Series A in progress
Industrial AI · Equipment Maintenance & Field Service
MVP shipped in 5 months. Now piloting with 3 customers — one already converted.
An early-stage industrial AI startup needed to build a multi-surface product fast: an AI diagnostics assistant, an expert knowledge base, and a live operations dashboard for the technicians and operators who keep machines running. We started with a single engineer to get moving immediately, then scaled the pod as scope grew — AI/ML engineers, full-stack engineers, and QA, working directly alongside the founding CTO. Ten sprints later, the MVP was live with real customers. Three pilots are running today, with one already converted.
- 1 → 7-person pod
- 5 months to MVP
- 10 sprints delivered
- 3 pilots, 1 converted
Who You're Working With
P
Paranjay
Founder, Rightshift
IIM-A founding team · Ex-CARIAD SE (Volkswagen Group)
I spent years as a Senior PM at CARIAD SE — Volkswagen Group's software subsidiary — working on vehicle data platforms at scale. I built Rightshift because the best engineering talent I encountered never fit neatly into a job description, and the best teams I saw weren't assembled through recruiters. We built a better model — AI-native, pod-based, elastic, and outcome-focused.
Ready to stop waiting on hiring?
Book a 30-minute discovery call. We'll scope your delivery gap and tell you exactly what pod you need — no commitment required.
hello@getrightshift.com · Typically respond within 24 hours