We deploy AIs,we take your companyout of pilot.
A team of AI experts that operates as an extension of your company — without the fixed costs of building an in-house R&D department. From idea to working prototype in weeks, not quarters.
We build AI agents
01/ 06Adopting AI is not the same as being AI-native.
Installing AI tools is easy; redesigning how your company operates around them is another matter. That's what being AI-native means — and building it in-house is slow, expensive, and depends on scarce talent.
The Kimu Loop
A four-phase cycle we use internally to take a hypothesis to production in weeks, not quarters. Inspired by lean startup and agile engineering practices.
Listen and frame
We map the real problem, define scope, and choose the right tech — without selling tools.
- → Tech inspection
- → Success metrics
- → Shared roadmap
We build the evidence
A working prototype in weeks, with continuous feedback from real users — not architecture slides.
- → Navigable MVP
- → Weekly demos
- → Dedicated DevOps infra
We tune it with data
We optimize UX, performance, and flows. We iterate on what moves the KPI, not on what looks nice.
- → User testing
- → UX adjustments
- → Ready to scale
We hand it to your team
Documentation, handoff, and training. 60-day warranty. The knowledge stays with you, not with us.
- → Clean Git repo
- → Training
- → 60-day warranty
The loop doesn't end. Each delivery opens the next hypothesis. That's how a lab operates.
Six capabilities, one infrastructure.
All projects run on the same enterprise engineering base: dedicated repositories, CI/CD, observability, and full handoff. You only choose the problem.
“If it doesn't reach production,
it doesn't count.”
Not a consulting firm. A continuous-operation lab.
The InnaS model — Innovation-as-a-Service — replaces in-house R&D with a lab that already operates AI-native: same speed, fraction of the cost, no talent debt.
Traditional in-house R&D
Legacy model- High hiring and retention costs
- Months to build a competent team
- Adopts AI through isolated pilots
- Expensive, underutilized infrastructure
- Knowledge churn
- Constant learning curve
- Extra HR and training overhead
KimuLabs · InnaS
Continuous model- Variable, predictable costs
- Expert team from day one
- Operates AI-native, always current
- Shared, optimized infrastructure
- Institutional knowledge
- Knowledge transfer included
- 100% focus on results
The enterprise suite that runs your brand with AI.
A multi-tenant, multi-brand SaaS platform to generate fashion catalogs and ad creatives with AI virtual models. Two pipelines, one infrastructure: Fashion and Ads.
One platform to run Fashion and Ads on the same infrastructure.
Isolated workspaces per brand, granular roles (Client · Manager · Admin), nine configurable modules, and an end-to-end pipeline: from look or brief upload to approved asset ready for catalog or campaign.
Smart spaces that live in harmony with your environment.
Another lab brand: IoT automation, efficient climate control, security, and resource management. Scenes that unify light, climate, and sound, integration with the ecosystems you already use, and local-first control with a privacy focus.
Smart recycling platform backed by the Ventures EPM program. Alejandro and Leonardo led the technology development, operational logistics, and business analytics — the same engineering and operations discipline that defines KimuLabs' DNA today.
AI assistant for grocery shopping. It turns the shopping list into a natural conversation: discovers products, compares options, and guides the decision at the exact moment. It's our living lab on how AI simplifies everyday decisions and improves the commercial touchpoint.
Two operators with a proven track record.
Prior joint case: the Kaptar System — smart recycling with investment from Ventures EPM.
Specialist in tech solutions and enterprise AI implementation. Leads the technical strategy and project architecture.
Expert in digital innovation and tech product management. Drives the strategic vision and alliances with the business ecosystem.
Three ways to work together.
We pick the model based on your AI maturity, the type of bet, and your appetite for shared risk.
Fixed monthly fee for on-demand access to your innovation team. Ideal for continuous AI roadmaps.
- 1 Designer
- 1 Senior Developer
- 1 AI Expert
- Dedicated DevOps infra
- Weekly cadence call
Fixed price for an MVP or specific project delivery. Ideal for validating a concrete hypothesis.
- Defined scope
- Clear deliverables
- Fixed schedule
- 60-day warranty
- Full handoff
Base fee + bonus if the solution hits measurable savings or revenue goals. Total alignment of interests.
- Competitive base
- KPI bonus
- 100% alignment
- Co-defined KPIs
- Quarterly review
We transfer knowledge — we don't retain it.
Ready to innovate?
Book a free exploration session. We leave the call with a concrete diagnosis and a plan for the first 90 days.
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