AI-Powered Systems. Human-Led Delivery.
AI Software Development & Engineering Leadership for Growing Companies
InLoop Technologies builds AI-powered and traditional software systems with humans firmly in the loop, combining 17+ years of engineering leadership with modern agentic development.
We help US startups and growth companies ship reliable software faster: custom software development, agentic AI systems, AI adoption strategy, and fractional engineering leadership, from a team built around 50+ person engineering organizations and multi-million dollar delivery portfolios.
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AI Software Development & Engineering Delivery
Full-cycle delivery, applied AI, and the engineering leadership to make both stick, built for how software actually gets made now as the traditional SDLC gives way to the Agentic Development Life Cycle (ADLC).
AI Software Development
Build AI-powered product capabilities and production systems with architecture, evaluation, human oversight, and operational readiness designed in from the start.
Learn more →Agentic AI Development
We build production AI systems using the modern agentic stack (OpenAI, LangGraph, Claude Code, CopilotKit) with human oversight designed in from day one. From AI-powered product features to internal automation, we deliver systems your team can trust, audit, and control.
Learn more →AI Engineering Adoption
Your developers are experimenting with AI tools; we make it systematic. We assess where you sit on the shift from SDLC to ADLC, roll out AI-assisted development workflows, and train your leads, turning scattered experimentation into measurable productivity gains across the whole team.
Learn more →Fractional VP Engineering
From Fractional VP of Engineering to interim Head of Engineering roles, we take ownership of delivery governance, team structure, hiring, and engineering strategy: the senior engineering oversight of a VP-level engagement, without the commitment of a full-time executive hire. Ideal for Seed to Series B startups whose engineering team has outgrown founder-led management.
Learn more →Custom Software Development
Full-cycle delivery of web applications, SaaS platforms, FinTech systems, and e-commerce storefronts, including custom builds and Shopify, Magento, and WooCommerce development. Python, JavaScript, FastAPI, Next.js, React, Django, and cloud-native architecture on AWS and GCP, built by a senior delivery pod and governed like an enterprise engagement.
Learn more →How We Build: The Agentic Development Life Cycle
Traditional software development was designed around human-led execution. AI agents now allow parts of that execution to be delegated, reviewed, and refined at machine speed. We call this new model the Agentic Development Life Cycle (ADLC): AI agents execute at speed, humans review, approve, and stay accountable at every gate.
We didn't coin the term, but we use this model as the default framework for AI-assisted engagements. Agentic Development Life Cycle (ADLC) is our name for an AI-assisted approach to software delivery, where agents take on more execution while humans remain responsible for judgment, review, and accountability.
Learn more about ADLC →Why Companies Choose InLoop Technologies
Operator-led, built as a team
Our leadership has spent 17+ years running engineering organizations, most recently as VP Engineering & Professional Services overseeing a 50+ person cross-functional org and multi-million dollar US-client delivery portfolios, including a ~$1.5M+ annual delivery portfolio in his most recent role. We're assembling a team around that same operating discipline, not scaling one person's calendar.
AI experience in production, not in demos
We've deployed agentic AI workflows (LangGraph, Claude Code, CopilotKit, OpenAI) on live client engagements, so we know what works, what breaks, and where humans must stay in the loop.
Enterprise-grade delivery governance
Capacity planning, risk management, delivery predictability, and stakeholder communication built into every engagement: the discipline of a professional services firm, the speed of a startup partner.
Cost-effective by design
Senior engineering leadership and delivery from Lahore, Pakistan, serving US clients across time zones for over a decade. Premium outcomes, sensible economics.
Domain depth where it counts
SaaS, FinTech, and E-Commerce, including high-volume transactional platforms, compliance-aware architectures, and legacy modernization.
About InLoop Technologies
InLoop Technologies was founded by Faraz Younis Butt, a technology executive with 17+ years leading software development and engineering organizations, and is being built as a company, not a solo practice.
The company is built on one principle: intelligent systems work best with humans in the loop. AI accelerates how software gets built, but judgment, accountability, and client trust remain human responsibilities. That's the loop we never break.
Read the full story →Where We've Built
Anonymized by client, not by capability: here's the kind of work our team has delivered.
SaaS & Product Platforms
Full-cycle development of SaaS products, from architecture through launch, for teams building recurring-revenue software platforms on modern cloud-native stacks.
FinTech Systems
Architecture, engineering, and modernization for FinTech platforms, from payments infrastructure to compliance-aware financial systems, built to the reliability standards regulated industries require.
Enterprise & Payroll Systems
End-to-end delivery of internal enterprise systems, from requirements gathering through deployment and production support, including payroll and workforce management platforms.
High-Volume Transactional Platforms
Engineering support for products serving large user bases and high-volume transactional environments, working alongside Risk, Compliance, and Security stakeholders.
Frequently Asked Questions
What is human-in-the-loop AI development?
Human-in-the-loop (HITL) means AI systems are designed so that humans review, approve, or correct critical decisions. At InLoop, every AI-powered system we build includes human oversight by design, improving reliability, auditability, and trust.
Do you work with US-based companies?
Yes, US startups and growth companies are our primary clients. Our team has led delivery for US-based clients for over a decade, working across US time zones with distributed teams.
How do engagements start?
With a free consultation. We assess your engineering organization or project goals, then propose a clear, scoped engagement: a delivery project, an AI adoption sprint, or a fractional leadership retainer.
What is a fractional VP of Engineering?
A fractional VP of Engineering is a senior engineering executive who works with your company part-time or on contract, typically 1–3 days per week, providing engineering strategy, delivery governance, team leadership, and hiring oversight without the cost of a full-time executive hire.
What is the Agentic Development Life Cycle (ADLC)?
The Agentic Development Life Cycle (ADLC) is how software gets built now that AI agents can generate, test, and refine code at speed. Where the traditional SDLC assumed a human at every stage, ADLC assumes an agent executing and a human validating: plan, agent-build, human review, agent-refine, human approval, then ship and monitor. We use this model as the default framework for AI-assisted engagements: AI moves fast, but a human stays accountable at every gate.
What does an engagement cost?
It depends on scope. Fractional leadership engagements are billed as a retainer, a fraction of what a full-time VP of Engineering hire costs, while custom software delivery and AI adoption work are scoped and quoted per engagement based on what you need. We don't publish a flat rate because a two-day-a-week retainer and a multi-month delivery project are structured completely differently. You'll get a clear, specific quote before committing to anything.
How does time zone overlap work with a team based in Pakistan?
We structure our working hours around US time zones, not the other way around, with live overlap for calls and reviews during US morning and early afternoon hours, and async, documented workflows covering the rest. This is the same delivery governance we apply to every engagement, and it's how we've served US-based clients for more than a decade without the time difference becoming a bottleneck.
Let's Build Something Reliable
Whether you need a delivery team that ships, an AI adoption roadmap, or senior engineering leadership, start with a conversation.
30-minute call · no obligation