Built in Practice

Enterprise AI Consulting,
Grounded in Execution.

Work with a team that has built AI applications in practice, not just in slides. We help organizations define the right use cases, architecture, and delivery path to make AI initiatives operational.

Book an Intro Call

Operators, Not Advisors

We’ve built AI products ourselves, not just advised on them.

Moving beyond the "Pilot Purgatory."

70% of enterprise AI projects fail to reach production because they are built on experimental foundations. We focus on the engineering realities that marketing teams ignore:

Deterministic Governance

Auditable controls for autonomous agents — whether built on GPT-4, Claude, or self-hosted Llama and Mistral.

Inference Unit Economics

Optimizing cost-per-inference across OpenAI, Anthropic, and open-source models for scalable ROI.

Sovereign Data Integrity

VPC-isolated deployments using self-hosted Llama and Mistral for regulated industries where data cannot leave your environment.

Models we deploy in production

OpenAI GPT-4 / o1 Anthropic Claude Meta Llama 3 Mistral Hugging Face OSS

Where to Apply AI

Avoid low-value experiments and focus on real business impact.

How to Deliver It

Translate ideas into systems that can operate in production.

Built by Practitioners

We are not PowerPoint consultants. We are engineers who have scaled AI systems from zero to millions of users in high-stakes environments.

A Proven Implementation Path

We replace ambiguity with a step-by-step framework for production success.

1

Maturity Audit

Analyzing your data readiness and infrastructure constraints.

2

ROI Verification

Identifying high-value use cases that survive a financial audit.

3

Core Pilot

Building a secure, end-to-end functional prototype in 4 weeks.

4

Production Scale

Deploying LLMOps, monitoring, and governance at scale — on cloud APIs or self-hosted infrastructure.

"Orchestrator Labs doesn't give you theory; they give you a roadmap that survives contact with a real production environment. Their engineering background is the difference."

Meet the Team

Operators who have built and scaled AI systems in production environments.

Suyash Sumaroo

Suyash Sumaroo

LinkedIn

Experience

Technology founder and AI solutions architect with deep experience building and scaling production systems across AI, blockchain, and enterprise software. Co-founder of CodeAura, focused on modernizing legacy mainframe systems using AI-driven analysis and automation. Extensive background in designing scalable architectures, leading cross-functional teams, and delivering practical solutions for complex, high-stakes environments.

Skills

/ai-system-architecture /llm-ops /mainframe-modernization /fullstack-development
Tobi Akinwumi

Tobi Akinwumi

LinkedIn

Experience

Product and technology leader with experience building and scaling digital products across startups and enterprise environments. Background spans product strategy, system architecture, and go-to-market execution, with a focus on turning ideas into scalable, production-ready systems. Has led product and engineering teams across multiple organizations, operating at the intersection of business, technology, and execution.

Skills

/product-strategy /software-architecture /technical-leadership /go-to-market /system-design
Girish Narang

Girish Narang

LinkedIn

Experience

Senior solution architect with over 20 years of experience designing and delivering enterprise systems, with a strong focus on Microsoft technologies and Azure cloud. Led large-scale cloud migration and modernization initiatives, building secure, scalable architectures across hybrid environments and data platforms. Deep expertise in Azure services, .NET ecosystems, and enterprise-grade system design, with a track record of aligning technical solutions with business and regulatory requirements.

Skills

/azure-architecture /microsoft-ecosystem /cloud-migration /enterprise-architecture /dotnet-development
Shirwan Sumaroo

Shirwan Sumaroo

LinkedIn

Experience

Product-focused founder with experience building and scaling AI-driven enterprise platforms from 0→1. Co-founder and CEO of CodeAura, leading product, partnerships, and go-to-market to help organizations understand and modernize complex legacy systems. Background in product and process within high-stakes, data-intensive environments, with a strong focus on translating complex systems into usable, decision-ready products.

Skills

/product-strategy /enterprise-ai /system-analysis /legacy-modernization /go-to-market

Book an Intro Call

Tell us about your organization and what you're trying to accomplish. We'll follow up to schedule a focused 30-minute conversation.