01
You can describe the end state
Fixed-scope project
One price per milestone
A product, platform, integration, or migration with a clear finish line.
- Itemised price per milestone
- First-release date in writing
- Pay on accepted work
AI & Software
We build software
that operates where
the stakes are real.
Full-service AI and software engineering for high-accountability organisations.
Ask AI about this page
Neuromotion Systems designs, builds, and deploys AI products and software systems for enterprises, PSUs, and infrastructure operators, where reliability is non-negotiable, data must stay sovereign, and the engineering must hold up under institutional scrutiny. We bring the rigour of our hardware and defence background into every software engagement.
The problem
Most enterprise AI
never reaches production.
The demo impresses. Then the pilot meets real data, real compliance, and real uptime requirements, and stalls. We are built for the part that comes after the demo.
~85%
Pilots that never ship
Industry data consistently shows the large majority of enterprise AI projects fail to move from proof-of-concept into sustained production.
80%+
Data that AI can't use
Most operational data sits unstructured and siloed across legacy ERP, databases, and documents, unusable until it is engineered into a real platform.
0
Tolerance for data leaving
For PSUs, defence, and regulated operators, public-API AI is a non-starter. Sovereignty is a precondition, not a feature request.
Years
Not a project, a lifecycle
Systems that carry institutional accountability must be maintained for a decade, not handed off after a spec is met and the agency walks away.
If your organisation is making critical operational decisions on incomplete or untrustworthy data, or recovering from a pilot that demoed well and delivered nothing, that is exactly the problem we are built to solve.
Quick, timely, compliant
Results in days, not quarters.
From the day you engage us, not from a kickoff weeks later. Every milestone is a result you can see.
- 48 hours
Scoped discovery with a written feasibility view
- Day 7
Architecture note and a fixed-scope plan
- Day 30
First working release on your environment
-
Fixed scope
Scope, price, and milestones are agreed before work starts.
-
No surprises
Weekly demos and plain-language status. Changes are priced before they are built.
-
Compliance from day one
Security, data residency, and audit requirements are captured in week one and designed into the architecture, not retrofitted.
-
You own the IP
Code, models, and documentation transfer to you on successful handover.
How we engage
Five stages from first call
to a system you own.
No open-ended discovery and no retained-consultancy drift. Every engagement runs the same five stages, and each one ends with something you can inspect and a decision only you can make.
01 / 05
01 · Scoping call
A 30-minute call with the architect who will build it
You describe the outcome you are accountable for. A senior architect asks the questions that decide price and risk. A mutual NDA is in place before anything sensitive is shared, and the call costs nothing.
Deliverables
- Outcome and constraints noted back to you
- Named architect for the engagement
- Mutual NDA if needed
Gate You decide whether to proceed. Nothing is billed.
Engagement models
Three ways to work with us.
One rule: no surprises.
Locate your situation on the line below. Each model has a fixed price, a written scope, and payment tied to results you can verify. Whichever you choose, you see the terms before you commit.
02
The roadmap will keep moving
Monthly pod
One fixed fee per month
A product that evolves sprint to sprint and needs a steady team, not a fixed brief.
- Fixed fee per month
- Demo every sprint
- Reprioritise freely, fee unchanged
03
The system is live and must stay up
SLA-governed retainer
One fixed fee per month
Production systems that need monitoring, patching, and accountable support.
- Fixed fee per month
- Severity-based response times
- Monthly SLA and incident report
What we do
Twelve capabilities,
one engineering practice.
Every service below is delivered by the same core team, the people who have shipped hardware to the Indian Army and Indian Railways. Pick a starting point; full descriptions follow.
Product Engineering
End-to-end software product development, architecture through long-term support.
Read more →Agentic AI Systems
AI that plans, reasons, and executes, with autonomy boundaries and audit trails.
Read more →AI Software Architecture
Production-grade system design for failed pilots and enterprise scale-ups.
Read more →Private LLM & RAG
Large language models on your infrastructure. Your data never leaves.
Read more →Data Engineering & Platforms
Unified data infrastructure across legacy ERP, IoT, databases, and documents.
Read more →Machine & Computer Vision
Inspection, quality control, and real-time detection, railways and industrial.
Read more →Full-Stack Applications
Web, mobile, and cloud applications built for long lifecycles and institutional users.
Read more →Embedded AI & IoT
Edge intelligence, firmware, connectivity, and cloud, built as one system.
Read more →Cloud & DevOps
Cloud architecture, migration, and delivery infrastructure, built to be operated by your team, not a retained consultancy.
Read more →Managed AWS Services
Monitoring, patching, backup, security, and cost governance, run by an accountable team.
Read more →Legacy System Modernisation
Incremental re-engineering of inherited platforms, without the risk of a big-bang rewrite.
Read more →Maintenance & Support
SLA-backed production support, proactive monitoring, and long-lifecycle application maintenance.
Read more →Beyond the core
AI solutions, core services,
and ready-to-scope solutions.
The same team, organised by how you buy. Start from the outcome you want, the service you need, or the kind of product you are building.
AI Solutions
Outcome-led AI: transformation, generative AI, agents, chatbots, and advisory.
Core Services
Mobile, web, QA, and custom software engineering for long lifecycles.
Solutions
Scoped starting points for MVPs, SaaS, CRM, enterprise, and on-demand products.
Outcomes Led Engineering
Engagements defined by a measurable result: velocity pods, outcome-based delivery, MVPs, modernisation, QA, and maintenance.
Our Products
Software and AI products,
deployed and supported.
Owned products we have built, shipped, and continue to operate in production environments, from defence to railways to enterprise.
In Production
Product · Enterprise Platform
QWRY.AI
Enterprise data and AI platform. Unified ingestion, managed pipelines, private LLM, and business intelligence, deployed entirely on your infrastructure.
Visit qwry.ai ↗In Development
Product · Machine Vision
MVIS
Machine Vision Inspection System for railway and industrial quality control.
Learn more →Customer profile
Who we work with.
01
PSUs and semi-PSUs modernising legacy platforms under performance mandates.
02
PPP concession holders operating ports, airports, highways, or utilities under government oversight.
03
Privatised infrastructure operators inheriting fragmented data environments from their public-sector predecessors.
04
Enterprise and industrial organisations in defence supply chains and regulated manufacturing.
05
Founders and product teams building AI-native products that require genuine engineering depth, not a low-code wrapper.
If your organisation is making critical operational decisions with incomplete or untrustworthy data, that is the problem we are built to solve.
Engineering pedigree
Why our engineering background matters.
We are an AI and software company that has also built and deployed hardware for the Indian Army and Indian Railways. That is not incidental. It shapes how we approach every software engagement, systems that cannot fail, that operate in adversarial field conditions, that must be maintained for decades, and that carry accountability to institutional stakeholders.
Most software agencies will not have that reference point. We do.
Frequently asked
What buyers ask us.
Direct answers to the questions that come up most often during early technical conversations.
We work with enterprises, PSUs, semi-PSUs, and infrastructure operators, particularly organisations managing critical operations with fragmented data environments and a requirement for private AI deployment. Our customer profile spans Indian Railways supply chain, defence primes, privatised utilities, and PPP concession holders.
Yes. Private, sovereign deployment is a core part of what we offer, not an add-on. Our QWRY.AI platform and private LLM deployments run entirely on your infrastructure, on-premises or in your VPC, with no data leaving your environment.
We take architectural ownership and long-term accountability. We do not write code to a spec and step away. We design the system, own the technical decisions, and remain available for the operational lifecycle of what we build. Our engagements are structured as partnerships, not project transactions.
Yes. A significant portion of our work involves building data pipelines and AI layers on top of existing ERP systems, operational databases, and legacy software infrastructure, without requiring a wholesale system replacement.
We work across both. For early-stage teams we offer product engineering and AI architecture from the ground up. For larger enterprises and PSUs we typically engage on a specific capability gap (data platform, private LLM, agentic workflow, or machine vision) and expand from there.
Work is priced per milestone against written acceptance criteria, or as a fixed monthly fee for pods and support. Payment is released when working software is accepted, changes are quoted in writing before they are built, and third-party costs such as cloud hosting are passed through at cost. Where scope is not yet defined we propose a short fixed-price discovery rather than guess a number.
Yes. We are based in Noida and work with clients around the world, delivering remotely. Calls and demos are scheduled in your time zone, international clients are invoiced in USD, and every engagement runs on the same fixed-scope, milestone-based terms.
Trusted by the organisations we build for
Hover to pause
Talk to the founders
Build something that works, not just demos well.
Surya Narayan Dev
Co-Founder & CEO
Whether you are scoping a new AI product, recovering from a failed pilot, or looking for a software partner who can go from architecture to deployment without hand-holding, the right starting point is a direct technical conversation.