We deliver the application work already in your pipeline, with senior enterprise leadership on every engagement, and make those applications smarter where AI genuinely helps. We know what that takes: our own AI products serve 100,000+ people a month.
Why Appneurons
Most AI work stops at the demo. Ours has to survive Monday morning: the products we run answer to real users every day, a listed pharma company is evaluating one, and a client's care journey has run on our platform for three years. That discipline comes with us into your codebase.
Our own live products keep us honest about application engineering, integration, release management and operations. We have to run what we build.
Architecture decisions, delivery reviews and escalations go straight to the founders, who have led programmes with 200+ engineers.
Modern AI engineering tools inside a disciplined lifecycle: code review, tests, controlled releases, security and operations considered from day zero.
100,000+
people a month on Fitrofy, the nutrition platform we built and run
20+
brands across healthcare, wellness, pharma and insurance served on it
25,000
items in its Indian food database, verified with Amity University
3yrs
of BeatO's diabetes care journey running on our platform, still shipping
What we can do
Three kinds of engagement. Each one is scoped around a deliverable you can check, not a technology we want to sell.
01
You get integrated AI capabilities with evaluation before release and guardrails in production.
02
You get prioritised remediation, a phased migration with regression checks, and a cutover that protects what already works.
03
You get new applications and feature enhancements, delivered and, if you want, operated by us under agreed scope.
Client work
BeatO
Nutrition and dietitian workflows built into the diabetes care journey, not bolted on beside it.
Running on our platform for three years, with ongoing operations and enhancements.
Our own products
Three products we own, operate and are judged on every month. They keep us honest about what works in production, and they are why we can say how long an AI feature really takes.
White-label nutrition platform for healthcare, wellness, pharma and insurance brands. Naysha, the AI diet coach, a 25,000-item Indian food database verified with Amity University, dietitian tools and organisation dashboards. 100,000+ monthly users.
Voice and chat support for people on GLP-1 therapy: side effects, injection coaching, weight and protein tracking, escalation to a dietitian. Gemini Live with a clinical knowledge base and rule-based guardrails. Under evaluation by a listed pharma company.
Hindi and English stories a child can interrupt, question and get a live answer from. Pre-recorded narration blended with real-time voice AI, a parent gate, subscriptions on iOS and Android.
How we work
01
We review the codebase, dependencies, technical debt and the user journeys that matter. You leave with agreed priorities, architecture and acceptance criteria you can act on, with or without us.
02
Every sprint ends in a demo of running software, with a weekly written report in between. Migrations ship in phases with regression checks, so what works today keeps working.
03
Peer review, tests and CI/CD for controlled releases. Handover includes source code, deployment docs and runbooks. If you want us to keep running it, we do, under agreed SLAs.
Engagement models: fixed-scope delivery · build-and-operate · workstream partner to system integrators
Who you'll work with
The people who scope your work are the people who have shipped it before, at bank scale, and who answer for it now.
Puneet Manchanda
Co-founder, CEO
Fifteen-plus years at IBM. Led YONO SBI, a $50M+ digital banking programme, and Airtel digital platforms, running teams of 200+ engineers across India, ASEAN and six years in Saudi Arabia.
Sarthak Manchanda
Co-founder, COO
Data science engineer, formerly Autodesk Ireland and Intel; MSc, University College Dublin. Leads delivery operations, client engagement, and data and AI engineering.
Bring the work already in your pipeline: a build, an enhancement backlog, a migration, an AI idea nobody has scoped. We'll tell you straight what it would take.