Founder-led · Hands-on · Ships in weeks
Build AI products that actually ship.
RBX Labs is a founder-led AI studio by Rishabh Banga.
I work with founders, product teams, and operators to turn AI from experimentation into real products, workflows, and go-to-market execution without getting stuck in endless pilots or abstract strategy.
No account managers. No handoff to a junior team. You work directly with the person who built the system.
Engagements
Training, product strategy, applied AI, GTM
TravelTech venture
98%+ valid itineraries,
12s P95 pipeline
Impact
The work has shown up in systems, metrics, and team adoption
Across every engagement, the goal is the same: measurable outcomes that teams can point to and build on.
Clarify
Design
Enable
Where the work actually starts
I don’t run generic consulting engagements. Teams usually start with a scoped training, strategy, or system design engagement that leads to a concrete next step.
Get the team aligned on what is worth building
Start with half-day workshops, working sessions, or a short discovery sprint that moves AI from vague interest to real priorities.
Use this stage to align on the workflow, the user, the constraint set, and what not to build before execution starts.
Turn the idea into a system people can actually use
Shape copilots, workflows, internal tools, and operating models around what can ship in weeks and work in practice.
This stage usually ends with a system design, execution path, success criteria, and a working prototype direction.
Make sure the work lands with the team and the market
Support rollout, team adoption, messaging, ICP alignment, and launch structure so the work does not stall after delivery.
The goal is not just a shipped feature. It is a system the team can run with, explain clearly, and extend without outside dependence.
Three things that tell you if this is worth a conversation
One proof point, one buyer fit signal, and one clear outcome. That is usually enough to know whether the conversation is worth having.
Kampd feed ranking improved activation by 25% while trust-led moderation reduced manual review by 40%.
Founders, product teams, and operators trying to move past AI experiments and ship something real.
Teams get to a first usable workflow, a sharper roadmap, and a clearer launch motion faster.
If you're serious about moving past AI experiments, let’s talk
A short working session for founders, product leaders, and operators who need clarity on what to build next.
Pick a time that works for you and I’ll come prepared to talk through your product, workflow, or launch question.
Case studies · Operator-led systems
I also build and ship products directly. These are examples of the kind of systems thinking and execution depth I bring into client work.
AI travel concierge
TravelTech venture
Architected an AI-powered travel flow for a TravelTech venture across planning, booking, and concierge support.
The work focused on connecting itinerary generation, decision support, and avatar-led travel help into one traveler experience that stayed useful before and during the trip.
98%+
Valid itineraries
12s
P95 pipeline
Planning + concierge UX
Network Guardian
Built and shipped a first version in 30 days for pre-connection Wi-Fi trust and safety scoring.
It is both an internal venture and proof that I can take an idea from framing to working product fast.
iPRD
Interactive PRD generation system that turns rough product thinking into executable specs in Canvas.
Built to be deterministic, single-file, deployment-ready, and useful to teams beyond the first demo.
Kampd
Built AI-powered trust, discovery, and moderation systems across a fast-growing community product.
Included real-time trust scoring, feed ranking, and policy-driven workflows that reduced manual review while improving relevance.