Deep-tech studio · Research to production

We engineer the
Next Reality

NEXR Labs builds the systems the next decade runs on — AI that reasons, machines that move, interfaces that disappear, and the infrastructure holding it all up. Frontier research, shipped as production software.

If it belongs to the next decade, we build it in this one.

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Systems shipped to production
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Engineers & researchers
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Countries deployed in
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Clients who come back

Who We Are

A lab for the things
that haven't shipped yet.

Most technology teams pick a side. Research labs produce brilliant papers that never survive contact with real users. Agencies ship fast and hand you something that buckles the moment it scales. NEXR Labs exists to refuse that trade-off.

We are engineers, researchers and designers who work on the frontier and then stay through deployment — the same people who model the problem are the ones who carry the pager. That continuity is the whole product.

  • End to end — from a blank whiteboard to a system under real load
  • Cross-disciplinary by default — ML, hardware, infra, design and security in one room
  • You own everything — code, models, weights, documentation, IP. No lock-in
  • Evidence over hype — every claim we make has a benchmark behind it
Explore our capabilities

The Name

NEXR reads as next.
The R is the part we build.

Everyone has an opinion about the future. Very few people are willing to assemble it out of hardware, code and constraints. Our name is a commitment, broken into four letters.

N

Next

We work a generation ahead of the roadmap — on the capability that becomes obvious to everyone else in three years.

E

Engineering

Ideas are cheap. We are judged on latency, uptime, cost per inference, and what happens at 3 a.m. on a bad day.

X

Experimental

X is the unknown variable — the hard, unproven module everyone else routes around. That is the piece we take.

R

Reality

A demo is a story. A deployed system is a fact. We only count the second one, and so should you.

Capabilities

Six disciplines,
one integrated studio

Frontier work fails at the seams — between the model and the product, the prototype and the fleet, the demo and the audit. We staff every seam with the same team, so nothing is lost in translation.

Applied AI & Agentic Systems

Models that earn their keep in production — retrieval systems that cite their sources, agents that act inside your tools with guardrails, and inference stacks tuned to a latency and cost budget you can actually afford.

  • LLM & multimodal fine-tuning
  • RAG and knowledge pipelines
  • Agent orchestration & evals
  • Inference optimisation & MLOps

Spatial Computing & XR

Interfaces that leave the screen. AR, VR and mixed-reality products where the 3D pipeline, the interaction model and the comfort budget are engineered together rather than bolted on at the end.

  • AR / VR / MR product builds
  • Digital twins & 3D visualisation
  • Spatial interaction design
  • Real-time rendering pipelines

Robotics & Embodied AI

Software for machines that touch the physical world. Perception, planning and control validated in simulation, then hardened on real hardware — where friction, latency and failure are not optional extras.

  • Perception & sensor fusion
  • Motion planning & control
  • Simulation & sim-to-real transfer
  • Fleet orchestration & telemetry

Cloud, Edge & Data

The unglamorous layer everything else stands on. Streaming pipelines, edge deployments and platforms designed to scale quietly — and to cost less next quarter than they do this one.

  • Real-time & streaming data platforms
  • Edge and on-device deployment
  • Kubernetes, IaC & observability
  • Cost and performance engineering

Security & Trust Engineering

New technology widens the attack surface. We threat-model AI and autonomous systems specifically — prompt injection, model exfiltration, supply chain — and design zero-trust architecture around them.

  • Threat modelling for AI systems
  • Zero-trust architecture reviews
  • Authorised red-team engagements
  • Compliance & audit readiness

R&D Sprints & Venture Build

For ideas that are still a hunch. A time-boxed sprint ending in a working prototype, a benchmark and an honest recommendation — including "don't build this," when that is the right answer.

  • 4–8 week feasibility sprints
  • Hardware–software prototyping
  • Technical due diligence
  • Zero-to-one venture builds

Why NEXR

Four commitments
we don't negotiate

01

No handoff, ever

The team that runs discovery writes the production code. Nothing gets thrown over a wall, because there is no wall.

02

We take the hard module

The uncertain part — the model, the controller, the latency budget — is what we scope first, not what we defer.

03

Weeks, not quarters

You see running software inside the first month. Progress is measured in demos on real data, not slides on a roadmap.

04

Built to be handed over

Documented, tested, and taught to your team. Our best outcome is a client who no longer needs us day to day.

Industries we work in
Manufacturing & Industry 4.0 Healthcare & Life Sciences Mobility & Logistics Energy & Utilities Financial Services Space & Advanced Engineering Retail & Commerce Public Sector R&D

How We Work

From signal to shipped system

Five stages, one team throughout. Every stage ends in something you can open, run or measure — never just a document.

01

Signal

A short, intense research sprint. We map the problem, the constraints and the technical risk — and tell you plainly what is feasible today.

Ends with: risk map & go / no-go
02

Blueprint

Architecture and interaction design in parallel. The riskiest assumption gets prototyped first, while it is still cheap to be wrong.

Ends with: architecture & working spike
03

Build

Production engineering in two-week increments, on real data from day one. You get a running build every fortnight, not a status update.

Ends with: tested, reviewed system
04

Launch

Staged rollout with observability, alerting and load testing in place before the first real user arrives. We are on call through the ramp.

Ends with: live system & runbooks
05

Evolve

Systems drift; models more than most. We monitor, retrain and tune cost — and train your team to take the wheel whenever they're ready.

Ends with: handover & support loop

Selected Work

Systems in production

A sample of what we've shipped. Details are anonymised where clients asked us to.

The People

Small team, outsized output

Senior by design. Everyone here has shipped systems other people depend on — and everyone here still writes code.

AK

Aarav Kapoor

Founder & CEO

Distributed systems, then robotics. Believes the demo doesn't count.

SN

Sana Nair

Head of AI Research

Multimodal models and evaluation. Allergic to unbenchmarked claims.

DV

Dev Verma

Lead Robotics Engineer

Perception and control. Has debugged more hardware than slides.

PI

Priya Iyer

Director of Design

Spatial interfaces. Designs for the tenth use, not the first.

We're hiring the curious

If you'd rather work on the unsolved part, we should talk — even when nothing matching is posted.

See open roles

Questions

The things clients
ask us first

With a conversation, then a paid discovery sprint — typically two to four weeks. You come out of it with a technical risk map, an architecture direction and a straight answer on feasibility, whether or not you continue with us. Nothing about it locks you in.

Discovery sprints are fixed-price. Build engagements run as a dedicated team on a monthly rate, sized to scope. We quote after discovery, because a number given before anyone has looked at your data is a guess dressed up as a proposal.

You do — source, trained weights, documentation and IP, in your repositories and your cloud accounts from the first commit. We don't build on proprietary layers you'd have to license back from us later.

Usually, and it's our preferred shape. We embed with your engineers, review each other's code, and plan the handover from the start — the goal is a team that can run the system without us.

No — early is where a research sprint earns the most. Bring the problem rather than the spec. Some of the best work we've done started as a hunch someone couldn't shake, and part of our job is telling you when the honest answer is "not yet."

We stay through the ramp with monitoring, on-call support and a retraining cadence for anything model-driven. After that it's your call: an ongoing support agreement, a lighter advisory retainer, or a clean handover with everything documented.

Ready to build what's next?

Tell us about the system you're trying to ship — or the problem you can't stop thinking about. We reply within one business day, and the first conversation costs nothing.

Get in Touch

Get in Touch

Let's engineer
something real.

Whether you have a finished spec or a one-line hunch, we'd like to hear it. Tell us what you're building, what's blocking it, and when it needs to exist.

Emailinfo@nexrlabs.in
StudioHyderabad, India · Remote-first

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