AI Engineering Studio

We build AI systems that ship.

85% of AI projects fail to reach production. We're the engineering partner that bridges research to deployment — with battle-tested architectures and continuous iteration.

What We Build

End-to-end AI engineering.

From first prototype to scaled production. We don't hand off decks — we ship systems.

Full-Stack AI Products

End-to-end AI applications — from architecture through deployment. We own the entire stack: model selection, fine-tuning, infrastructure, and monitoring.

LLM & RAG Pipelines

Production RAG systems that actually retrieve relevant context. Custom embeddings, hybrid search, and evaluation frameworks that maintain accuracy at scale.

Voice & Conversational Agents

Intelligent voice agents that handle real conversations. Latency-optimized, context-aware, with fallback handling and human handoff protocols.

Multi-Agent Systems

Orchestrated agent architectures that reason, plan, and execute. Tool-use, memory systems, and coordination protocols for complex autonomous workflows.

Model Fine-Tuning

Systematic model adaptation for your domain. Data curation, training infrastructure, evaluation pipelines, and A/B testing frameworks.

MLOps & Infrastructure

The infrastructure that keeps AI running. GPU orchestration, model serving, observability, and cost optimization that scales with your growth.

The Gap

AI prototypes don't become products.

Proof-of-concepts sit in notebooks. Demos impress but don't deploy. Internal teams lack the specialized muscle to cross the production threshold.

Our Approach

Research meets engineering. Continuously.

01

Discovery

Deep-dive into your domain. We understand the business problem before touching code.

02

Design

System architecture that anticipates scale. No copy-paste templates — custom designs for your constraints.

03

Build

Weekly deploys with measurable outcomes. You see progress, not just promises.

04

Scale

Continuous partnership through growth. We optimize, monitor, and evolve with your needs.

"This isn't a handoff. We stay with you."

Research-Backed

We do the research others cite.

System 2 ReasoningNext-Gen ArchitecturesEmbodied IntelligenceAgentic Safety

Genesis runs active research pods. Papers get published. But more importantly, findings ship into client systems before they're commoditized.

You're not hiring implementers.

You're hiring the source.
Work

Systems in production.

Real AI systems solving real problems. From enterprise automation to research breakthroughs.

HyperSymEnterprise

HyperSym

Industrial simulation, reimagined with AI.

Reduced simulation model development time from weeks to hours. Multi-agent system orchestrating CAE workflows with natural language interface.

Multi-AgentNLPSimulation
View Project
FunctorStartup

Functor

Memory infrastructure for AI applications.

Graph-based memory system processing 10M+ facts. Powers proactive intelligence with sub-100ms retrieval latency.

LLMEmbeddingsReal-time
View Project
CUA [VENV]Research

CUA [VENV]

Vision-language-action for embodied AI.

Research collaboration bridging simulation to real-world robotic deployment. Active research in VLA architectures.

VLAEmbodied AIRL
In Development
Client Stories

What we've built together.

Real outcomes from real partnerships.

Delivered in weeks what others quoted months for
"Genesis AI Labs delivered what others said would take months — in weeks. Their team built the core AI engine powering our adaptive learning platform, from knowledge graphs to real-time remediation. The technical depth was exceptional, but what really stood out was their ability to translate complex ML concepts into production-ready systems. They didn't just build features; they architected a foundation we're scaling on."
PM
Prayesh Maher
Founder & CEO
QuantumLearn.ai
FAQ

Common questions

Let's Build Together

Ready to ship production AI?

Let's talk about what you're building. From first conversation to production deployment.

Start a Conversation