AI Chatbots & Copilots
Conversational agents embedded directly in your product, with retained context across sessions and clean handoff to a human when it matters.
AI Engineering Studio
We engineer the AI that runs inside real products.
YallaV designs, builds and operates production-grade chatbots, retrieval systems and automation pipelines. The same class of systems powers our own ERP platform, live today.
Built & operated by engineers, not slide decks
Live in production across
What we build
AI systems that ship, not slideware
Six capability areas we return to again and again, because they're the ones that move the needle inside real products.
Retrieval-Augmented Generation
Ground every answer in your own documents, tickets and business data. Citations, not hallucinations.
Smart ETL & Data Pipelines
AI-assisted extraction, transformation and migration for the messy, real-world data sources most tools give up on.
Autonomous Workflow Agents
Multi-step agents that execute real business processes (approvals, reconciliations, notifications) with guardrails you control.
Predictive Analytics
Turn historical data into demand, churn and cost forecasts your team can actually act on, not just dashboards.
Custom Model Integration
Fine-tuning, evaluation and cost-aware routing across hosted and open-source models, matched to the job, not the hype.
Proof, not slides
The AI layer inside our own ERP
We don't just advise on AI. We operate it in production, every day, inside the ERP platform we built and co-own. It's the same engineering bar we bring to every client engagement.
Talk to us about your use caseMulti-tenant AI copilot
Handles day-to-day user questions and follow-up conversations, retaining context across turns for every tenant.
Voice-note transcription
A production pipeline that transcribes voice notes and tracks media cost on equal footing with text usage.
Smart ETL onboarding
Migrates and reconciles tenant data automatically during onboarding, cutting manual setup time to hours, not weeks.
Per-tenant cost instrumentation
Every AI interaction is metered and attributed, so usage stays predictable as the platform scales.
How we work
From idea to production, in weeks
A short, honest path: no year-long roadmaps, no vendor lock-in you didn't ask for.
01
Discover & scope
One week auditing your data, workflows and the highest-leverage AI use case for your product.
02
Prototype
A working proof of concept on your real data in 2 to 4 weeks, not a slide deck.
03
Integrate & harden
Production-grade auth, observability, cost controls and guardrails, wired into your stack.
04
Operate & scale
We stay on to monitor, tune and extend the system as usage and requirements grow.
Who we are
Founders who build, not just advise
Our story
We got tired of watching founders choose between consultants who talk and engineers who code, but no one who does both. So we built YallaV: a studio that thinks like founders, builds like engineers, and ships AI that actually runs in production, because we run it ourselves, every day.
Talk to the founders
Let's build
Tell us about the AI you want to ship
A short call to discuss your use case, your data, and what a working prototype could look like in weeks.
Prefer email?
contact@yallav.io
We usually reply within one business day.
What happens next
- We review your message and set up a short call
- We scope the highest-leverage use case together
- You get a proposed prototype timeline within days