/01capabilities/02approach/03contact
applied AI studio · Bangalore · enterprise-grade · built to ship ]

buildingtoolsthatmakehumans
morecapable.

We design and build custom AI systems for teams shipping into the real world. Bring us the hard problem — we ship the working solution into your tenant.

<300ms[ voice agent latency ]
24h[ reply on every brief ]
100%[ deployed in your tenant ]
voxcare · live call
00:00.00
listening
agent actions0/7 complete
intent · reschedule_appointmentpatient_id · 8821
calendar.lookupdr. mehta · this week
reasoning · earlier slot neededmehta full mon–tue
doctors.find_alternatedept · cardiology
calendar.lookupdr. iyer · tomorrow
calendar.bookiyer · 11:00 · 30min
sms.send+91 ••• 4421
[ what we build ]

Four surfaces — pick the one that hurts.

The four problems we keep getting hired to solve. Yours is probably here.

/01

voice intelligence

A phone call is a real-time system. Latency, interruption handling, and grounded reasoning matter more than personality.

<300ms
p50 first-token
Problems we solve · target outcomes
no-show recoveryOutbound calls reschedule before slots go cold.~70% recovered
inbound triageRoute, screen, summarize — without a queue.< 8s to route
multilingual supportEN / HI / KN with code-switch in a single turn.3 langs
voice front-desk24/7 receptionist that books, cancels, escalates.24 / 7
A brief we could ship// the kind of work we're built for
Multilingual front-desk for a 40-clinic chain.
Inbound at ~10k / month · ~4-week build · EN / HI / KN

Yours doesn't fit any of these? That's usually the brief we get most excited about.

[ where we ship ]

Production-grade AI in regulated, high-stakes environments.

Sandboxes are where AI demos go to die. We ship into your tenant, against your real users, on day one.

HealthcareGovernmentFinancial servicesInsuranceLogisticsRetailHospitalityEducationLegalManufacturingReal estateAgritechMediaConsumer appsHealthcareGovernmentFinancial servicesInsuranceLogisticsRetailHospitalityEducationLegalManufacturingReal estateAgritechMediaConsumer apps

Regulated environments welcomed. We work inside HIPAA, SOC 2, DPDP, and tenant-isolated deployments by default.

[ how we work ]

From "interesting problem" to "shipped system" — in four phases.

Most engagements end in 60 days. We work in two-week scope blocks with a working system at the end of each.

01[ week 0–1 ]

Discovery

We read your codebase. We sit on your team's calls. We write the spec before we write the prompt — because the model is the easy part. The problem is the part most people get wrong.

[ discovery.checklist ]5 / 5
codebase walkthrough
stakeholder interviews
data audit
scope spec — signed
success metrics — defined
02[ week 1–3 ]

Prototype

A working v0 inside your stack within two weeks — rough on purpose. Demos lie; running systems don't. We'd rather show you something ugly that works than something pretty that pretends to.

v0 → v1 → v2 · live
~/voxcare $ git checkout -b agent/v0
~/voxcare $ pnpm dev
ready · http://localhost:3000
~/voxcare $ curl -X POST /api/agent ...
{ status: "booked", slot: "tue 11:00" }
03[ week 3–6 ]

Integration

This is where most AI projects quietly die. We harden the boring parts — auth, secrets, evals, rate limits, fallbacks, observability — so the system holds up after we're gone, not just on demo day.

[ tenant · azure · isolated ]
agent.apitools.fnevals.runtraces.dsyour boundary · your data
04[ week 6–8 ]

Ship & handoff

Production deploy, runbook, eval harness, and a 30-day support window. Then we hand you the keys. We don't pad scope to stay on the payroll — if there's another bet, we'll talk; if not, we leave clean.

deployed · production
nuraliv → tenant.azure.{you}.com
[ 30-day support window ]
30 days remaining
[ scroll to advance ]
[ what we don't compromise on ]

Three principles. Non-negotiable.

01

We say no, often.

We turn down about half the briefs we get. If we can't ship it inside two months, or if you don't have a real user to test against, we'll point you somewhere else. Scoped restraint is how we stay good at what we do.

02

Evals before prompts.

Every system we ship has a test harness before it has a prompt. If we can't measure it, we don't ship it. The prompt is the last thing we write — not the first. Most studios get this backwards.

03

We hand the keys back.

We don't pad scope to stay on payroll. Production deploy, runbook, eval harness, 30-day support — then your team owns it. We'd rather lose a retainer than build a dependency.

Nuraliv ships production AI systems. Not slide decks, not proof-of-concepts, not “AI strategy roadmaps.” We work with teams that have a real problem, a real deadline, and a real budget. If we can't ship, we won't take the project.

[ about · who we are ]

An applied AI studio in Bangalore building voice agents and multi-agent systems.

We're a small team of engineers shipping production AI for healthcare, fintech, government, and enterprise clients. Engagements run 4–8 weeks. Replies on every brief inside 48 hours.

[ 01 · what we are ]

Applied AI consultancy in India

Nuraliv Labs is an applied AI consultancy headquartered in Bangalore. We design and build custom AI systems that ship into production — not slide decks, not proof-of-concepts, not strategy roadmaps. Every engagement ends with a deployed system inside the client's tenant.

[ 02 · voice AI studio Bangalore ]

Voice AI for hospitals, clinics, and contact centres

We build production voice AI agents with sub-300ms first-token latency and real-time interruption handling. Multilingual support across English, Hindi, and Kannada, including code-switching inside a single turn. Voice AI for hospitals in India is one of our most-shipped surfaces.

[ 03 · multi-agent systems consultant ]

Multi-agent systems, shipped on graphs

Real agents are graphs of small, evaluable steps — not a single mega-prompt. As a multi-agent systems consultant in India, we ship 6+1 specialised agents per system on LangGraph or custom orchestrators, with memory, tools, evaluations, and human handoffs as first-class primitives.

[ 04 · custom AI development Bangalore ]

Deployed in your tenant. Owned by your team.

We do custom AI development in Bangalore for clients across India, North America, the UK, the UAE, and Singapore. Production deploys go into your Azure, AWS, or GCP tenant — not ours. After ship, we hand you the runbook, the eval harness, and 30 days of support, then we leave clean.

[ frequently asked ]

Quick answers about Nuraliv Labs.

What we build, where we're based, and how we're different from the supplement company with the similar name.

Nuraliv Labs is an applied AI studio based in Bangalore, India. We design and build custom voice AI agents, multi-agent systems, and applied AI products for healthcare, fintech, government, and enterprise teams. Engagements typically run 4–8 weeks from spec to shipped, deployed inside the client's own tenant.

[ more questions? mail studio@nuraliv.com — we reply inside 48 hours ]

[ start a project ]

Have a problem worth
solving with AI?

Tell us what you're trying to build. We respond within 48 hours with a yes, a no, or a sharper question.

[ accepting 2 projects · q1 2026 ]

Nuraliv Labs · Applied AI Studio · Bangalore, India

Nuraliv Labs (https://nuraliv.com) is an applied AI studio in Bangalore building custom voice AI agents, multi-agent systems, and applied AI products for B2B teams in healthcare, fintech, government, and enterprise. Nuraliv AI is not affiliated with Nuralz the ayurvedic supplement. Voice AI for hospitals, multi-agent systems consultant in India, custom AI development Bangalore, applied AI consultancy India, agentic AI systems, real-time AI pipelines, enterprise voice AI Bangalore.