AI Systems & Engineering
Agents, copilots, ML pipelines, vector search, and private LLMs.
Senior engineering team
Senior engineering team for AI, software & digital transformation.
AI systems · Web platforms · Mobile apps · Digital transformation — same senior team that built Volopay (YC S20, $31M raised).
Production-ready in 12 weeks. Senior engineers, no junior front.
Building Volopay (YC S20, $31M raised) as their tech and AI partner. 25+ products shipped.
KUMO is the engineering team behind 25+ production products across fintech (Volopay, YC S20), B2B SaaS (CampaignHQ on G2 + Capterra), e-commerce, and now AI systems. Whether you need digital transformation, custom software, web/mobile platforms, or AI engineering — same senior team, same milestone-based pricing, same code-yours-on-day-one principle.
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A senior engineer will reach out shortly. Prefer to talk now? Email enquiry@kumohq.co
Get a quote in one business day
Name and email — phone optional. We handle the rest on the call.
One senior team, four disciplines.
Web Platforms
B2B SaaS, internal tools, customer portals, and marketplaces in React, Next & Astro.
Mobile Apps
Native iOS & Android and React Native — built for production, not demos.
Digital Transformation
Legacy to modern stack. Cloud migration. Manual process into software.
A software studio that ships in production. AI is one of the things we build.
Before AI was every founder's homepage headline, KUMO was the engineering team behind Volopay (YC S20 fintech, $31M raised), CampaignHQ (B2B SaaS on G2 + Capterra), and 25+ other production products across 11 markets. Same senior team. Same milestone-based pricing. Same code-yours-on-day-one principle. In 2024 we added AI engineering as a capability — because our clients needed it, not because it was trending.
Trusted by: Volopay · CampaignHQ · Equipp (Ralco Group) · FLIN · Klickie · Kaft + 19 more
Pick a slot — no form, no back-and-forth.
30-minute intro call with KUMO engineering. Same week if a slot is open.
The cost of delay 01 02 03 04
Every month spent recruiting is a month your competitors spent shipping.
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 cost too much to hire and take too long to find.
Hiring in-house
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.
Big consultancies
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.
Freelancers
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.
AI wrappers and demos
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.
Senior engineers who have shipped fintech, SaaS, and AI systems at scale.
Production software is not about picking a model or a framework. 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.
AI agents and LLM systems
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.
Production ML engineering
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.
Fintech and SaaS architecture
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.
Senior team, no juniors fronting
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.
From the CTO of Volopay 
KUMO are our go-to consultants when it comes to solving deep fintech technical architecture problems.
Rajesh Raikwar CTO, Volopay (YC S20, $31M raised)
5.0 Google Rating
4.8 Clutch Rating
13+ Years Experience
25+ Products & Solutions
What you get in your first 12 weeks
Week 1-2 — Discovery
Stakeholder interviews, data audit, eval framework. Honest go/no-go review before we build.
Week 3-8 — Production build
Senior engineers writing your code. Observability, fallbacks, cost controls from day 1.
Week 9-12 — Launch + handover
Phased rollout. KPI dashboards. Your team owns the system after we leave. Code is yours.
The math vs. hiring in-house
| Hiring in-house | KUMO | |
|---|---|---|
| Time to first commit | 5+ months | 2 weeks |
| Cost structure | $250K+ / year | Milestone-based |
| Track record | Unknown until too late | 25+ products, 13 years |
| Contract risk | Fixed cost before first line of code | Small onboarding fee, rest paid as we deliver |
Ready when you are
Book a 30-minute call with senior engineering.
Tell us what you are building. A senior member of our team reaches out personally — no automated sequences, no junior handoffs. An honest read on whether we are the right fit.