The senior AI engineering team your competitors are still trying to hire.
The agentic AI market is growing at 43.8% CAGR. Only 1 in 9 companies have AI running in production today — and 79% of businesses report critical AI adoption challenges. The teams already in production are pulling ahead, while everyone else loses quarters to hiring cycles. KUMO embeds a senior engineering team with yours and ships in weeks, not quarters.
The agentic AI market is projected to hit $196B by 2034, growing at 43.8% CAGR. Today, only 1 in 9 companies have AI agents running in production. The gap between intent and execution is real — and every conventional path to closing it fails for the same reason: the people who know how to ship AI cost too much to hire and take too long to find.
A senior AI engineer costs $250K+ annually and takes 5+ months to hire. Add 90 days of onboarding and six months to reach full velocity. That is 14 months before a productive engineer has shipped anything worth keeping — on a timeline that counts every week.
Senior partners pitch. Juniors execute. You get expensive strategy decks and slow production code, written by engineers learning on your timeline and your budget. The partner you bought does not show up to the standup.
One engineer cannot own an AI system end to end. When something breaks in production, there is no team behind the work. Continuity risk is structural — and a single departure takes the institutional knowledge with it.
41% of code is now AI-generated, but 45% of it contains vulnerabilities. Demos perform beautifully until they meet real production load. Your users find the gap before you do — and that conversation is hard to recover from.
Production AI is not about picking a model. It requires evaluation harnesses, fallback logic, cost controls, monitoring, and an engineering team that has shipped before under real production load. Here is what we deliver for growing businesses.
RAG pipelines, multi-agent orchestration, tool use, evaluation harnesses. Not prompt-engineering demos — production systems with monitoring, fallbacks, and cost controls built in from day one.
Model deployment, inference scaling, drift detection, retraining loops. The unglamorous infrastructure that makes AI dependable for real customers and real load — not just a well-behaved staging environment.
We built the core engineering for Volopay (YC S20, $31M raised) and run CampaignHQ, our own SaaS product listed on G2 and Capterra. Systems where AI moves money, serves customers, and cannot fail quietly.
The engineer on your standup is the engineer writing your code. No bait-and-switch. Milestone-based payment. 99% of our clients return for their next project — not because of contracts, but because we deliver.
KUMO are our go-to consultants when it comes to solving deep fintech technical architecture problems.
Tell us what you are working on. A senior member of our team will reach out personally — no automated follow-up sequences, no junior handoffs. Just a genuine conversation about your problem and an honest read on whether we are the right fit.
If it makes sense to move forward, we will walk you through exactly what an engagement would look like and what it takes to get started.
We will be in touch within one business day. Or email us at enquiry@kumohq.co
No pitch decks. A senior team member will be in touch within one business day.
