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About ProcessLabsAI

We build AI that
earns its place
in your team.

ProcessLabsAI was founded on one belief: AI should amplify what great teams are already capable of, not paper over gaps, not replace judgment, and not generate noise. We embed directly into delivery flows and build systems that make real work move.

Company Overview

An AI delivery engine,
not a consulting deck.

ProcessLabsAI, a part of Aristo Global Group, delivers AI Delivery Pods which are embedded operational units that integrate directly into your AI tuning cycles and keep things moving, consistently, every cycle. We work with agencies, SaaS teams, and founders.

Our pods cover AI QA and governance, custom model development, agent-based workflow automation, predictive systems, and fractional AI operations.

What makes us different isn't the technology stack — it's the delivery discipline. Every engagement is structured, outcome-defined, and governed end to end. We treat AI delivery the way great engineering teams treat software: with process, accountability, and iteration.

AI is a craft, not a shortcut

Building systems that actually work in production takes rigor, evaluation, and honest iteration. It is not just prompt-and-pray.

Embedded beats advisory

We're most useful when we're inside the delivery flow and not merely commenting from the outside on what should be done.

Humans decide, AI executes

Every system we build keeps people in the loop on what matters. Autonomy without judgment isn't intelligence.

AI tuning cycle first, always

We work in defined cycles with clear outputs. No open-ended retainers. No deliverables that drift. Just consistent forward motion.

What we stand for

Our core
values

Six principles that shape every Pod and every deliverable.

01 —
Build with intent

Every system we design starts with a clear question: what does this make possible that wasn't possible before? We don't build for novelty. We build for genuine capability uplift.

02 —
Radical transparency

We tell clients what AI can and can't do, even when the honest answer is less exciting. Trust is built during AI tuning cycle, not sold in a scoping call.

03 —
Amplify people, not replace them

Our job is to give your teams better tools, more time, and sharper signals so the humans in the room can do more of what only humans can.

04 —
Governance by default

We build evaluation, audit trails, and governance into every engagement during AI tuing cycle, not as an afterthought.

05 —
Compounding delivery

We measure success by what keeps working after we leave, not by what we delivered while we were there.

06 —
Earned confidence only

We don't ship until it's tested. Confidence in an AI system is a quantifiable thing: benchmarks, evaluations, and production monitoring, not instinct and optimism.

Our Point of View
"Most AI projects fail not because the model wasn't smart enough — but because nobody owned the delivery. We fix that. We're the team that keeps AI moving from idea to production in AI tuning cycle, without the drift."
— ProcessLabsAI founding team
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Leadership

Meet the
founders

An experienced team of builders leading the delivery of practical, robust AI solutions.

Ketan Gajjar

Ketan Gajjar

Founder

Ketan is an entrepreneur with extensive experience building and scaling service-led businesses across recruitment, operations, and finance & accounting.

His experience working closely with agencies, SaaS companies, and growth-stage businesses led to the vision behind ProcessLabs AI — creating AI Delivery Pods that integrate seamlessly into existing workflows and accelerate execution.

At ProcessLabs AI, Ketan is responsible for the company's vision, growth strategy, and innovation roadmap. He is passionate about helping businesses move beyond AI experimentation and into practical solutions that improve productivity and deliver real outcomes.

Manish Narang

Manish Narang

Co-Founder

Manish is a business leader with deep expertise in operations, client success, and scalable service delivery. He has spent his career building strong teams, optimising processes, and creating delivery models that help organisations grow efficiently.

His ability to align people, processes, and technology has helped businesses improve execution while maintaining a strong focus on customer outcomes.

At ProcessLabs AI, Manish leads operational strategy and client engagement — ensuring AI Delivery Pods function as a seamless extension of each client's business, driving efficiency, growth, and measurable value.

Mohit Vanvari

Mohit Vanvari

Director of AI

An IIM alumnus and AI product leader with 9+ years of experience building and scaling technology products across healthcare, fintech, retail, and SaaS.

Previously managed a $20M+ project portfolio at Cisco across the ANZ region, and served as Senior Product Manager at NeoDove — improving customer retention by 16% through product-led innovation.

At ProcessLabs AI, Mohit leads AI strategy and delivery across the full product lifecycle — from strategy and development through to deployment and adoption. He also actively researches applied AI and contributes through publications and thought leadership.

How We Operate

Our operating
principles

How we ensure projects deliver reliably, repeatably, and without friction.

Outcome-first engagements

Every pod starts with a defined outcome, not an open scope. We know what success looks like before the first step begins.

Small teams, deep focus

Two to four people per pod. No layers, no handoffs, no translation loss between strategy and execution.

Async-native communication

We document everything and communicate in writing, so your team always knows where things stand without another meeting.

Knowledge stays with you

Every engagement ends with documented systems and trained teams. We don't engineer dependency; we build capability you own.

Honest about what AI can do

We won't oversell the technology to win a deal. If AI isn't the right tool for something, we'll say so and help you find what is.

Work With Us

Deploy a pod into your
AI cycle.

Tell us what you're building. We'll scope a pod, define the outcomes, and be embedded in your delivery flow within a week.

Start a Scoping Call →