Production-readysoftware
Built to run reliably in production, not just look good in a demo.
Our Story
We don't write code. We build the systems that write it.
At Agent Loopr, humans design the architecture, guide the agents, and own the outcome. We build the systems that build the software.
build streamshipped · 0
one orchestrator · five specialists · sprints shipping in parallel
Our journey
Why we built Agent Loopr
The shift
AI coding tools changed software development.
Anyone can now generate code, ship prototypes, and build products faster than ever before.
The question is no longer whether software couldbe built. It's whether it could be built reliably.
The idea
We started Agent Loopr around a simple idea.
Humans shouldn't spend their time writing code. They should spend it designing the systems, context, and architecture that let agents write great code.
The model
Our agents handle the execution.
We own the judgment, quality, and outcome. That reliability is the foundation of everything we build.
Layer 01
AI can write code
How we work
80% Agent. 20% Human. 100% Accountable.
Most of the execution is handled by AI. The human layer stays involved where it matters most: defining the problem, designing the solution, and validating the result.
Human
Judgment
Diagnose
Understand the business problem before deciding what to build.
Prescribe
Design the architecture, execution plan, and agent systems.
Execute
Agents handle the build; our team monitors and guides the direction.
Test
Automated tests catch most issues; humans do the final checks.
Human
Judgment
Diagnose
Understand the business problem before deciding what to build.
Prescribe
Design the architecture, execution plan, and agent systems.
Execute
Agents handle the build; our team monitors and guides the direction.
Test
Automated tests catch most issues; humans do the final checks.
What we buildThe products and
The products and
systems we ship.
The systems, products, and infrastructure we ship for our clients.
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Shivam ChandhokFounder of Agent Loopr
Founder Feature
The standard is simple.
Shivam ChandhokFounder of Agent Loopr
Shivam runs Agent Loopr alongside Ladder, a B2B operating infrastructure firm. That combination keeps him close to both sides of the problem: how technology gets built and how businesses actually use it.
If it is not good enough to run our own business on, it is not good enough to ship to yours.
Today, Shiv works with founders and teams across SaaS, e-commerce, consulting, and service businesses, helping them build technology that holds up long after launch.
“AI is incredibly good at completing tasks. What it still can’t do is apply judgment. It can’t tell you when an idea is wrong, when a shortcut creates risk, or when the business problem hasn’t been properly defined. That’s still our job.”
Our team
The people behind the systems.
Everyone knows who owns what. Every project has a lead developer, a defined scope, and a shared ClickUp board with direct client access from day one.
The people involved may change, but our approach doesn't.
01
Senior Engineers
Responsible for technical direction, production readiness, and long-term maintainability.
02
Agent-Native Architects
Design the systems, workflows, and infrastructure that power modern AI-driven development.
03
Project-Specific Specialists
Designers, operators, and technical specialists brought in when the project needs additional expertise.
Clients & industries
Trusted by teams across growing industries
Bleu Nelumbo
EdTech
- Challenge
- Turn a CFA curriculum into a modern learning platform.
- Solution
- Built a production-ready LMS with assessments, subscriptions, and payments.
- Outcome
- Scalable platform for learning content, analytics, and commerce.
Archaius Creative
Video Production
- Challenge
- Quoting projects took 45 minutes and relied on individual expertise.
- Solution
- Built an AI-powered quoting system using historical project data.
- Outcome
- Reduced quote turnaround to under 2 minutes with ±10% estimate accuracy.
Ecogen Services
Solar Installation
- Challenge
- A spreadsheet-based quoting system couldn't keep up with growth.
- Solution
- Built a secure SaaS platform for quoting, commissions, and planset analysis.
- Outcome
- Delivers ~5× faster quoting with pricing and margins kept fully secure.
Fianzza
Fintech
- Challenge
- An AI-generated prototype wasn't ready for real-world transactions.
- Solution
- Rebuilt the platform with secure payments, agreements, and dispute management.
- Outcome
- Production-ready infrastructure for payments, disputes, and transaction security.
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