AI product and growth studio · New Delhi · Clients worldwide
We build the production AI, software and automation your business runs on, then run the growth that gets it used. The people on your calls are the people who build it, with the paperwork of a company you can buy from.
Tell us the problem: talk or typeChapter 01 · Work
Eight of the sixteen builds, from an enterprise AI platform to a machine on a serial port.
An enterprise AI platform that takes an organisation’s ideas from raw submission to scored, strategy-ready deliverables: an in-house agent runtime, a 14-stage research agent that challenges its own findings, and a 400+ model gateway with tiered access.
Built by our founder as Head of AI Engineering at ideasIQLead discovery that runs unattended across eleven live signal sources, with evidence guards that downgrade any claim the model cannot cite.
Built by our founder as Head of AI Engineering at ideasIQSubscription market analytics: data pipelines from raw market data to indicators, the decision tools built on them, dashboards and billing. Tooling, never advice.
Cloud hospital records: an EMR on SNOMED CT terminology, OCR on medical documents and API-first exchange between hospitals and labs.
Order and inventory automation, backend workflows and storefronts for SigmaBites, Sterling Naturals and New Gramophone House. Clear input, clear action, clear output.
A Windows app for emissions-testing centres that reads gas analysers and smoke meters over serial and serves live readings through a local API.
DocPad · Artize Dental
InvestBeans · Allianz Exports
SigmaBites · Sterling Naturals · New Gramophone House · Intellishop
ideasIQ · myLeadsIQ · Techlive Solutions · Jobzee
Prozone
Chapter 02 · Practices
From scope to shipped to sold, with no hand-off between the people who build it and the people who grow it.
For the work that needs context, judgement and decisions. Agents, copilots and AI platforms that hold up against real users, real data and real bills, with a person stepping in exactly where one should.
Context,Judgement,Decision,A person, where it matters
Seen in ideasIQ · myLeadsIQ · AlphaGPT
How could this help us?The manual work in your operations, handed to software. We map the process, cut the steps that should not exist, then automate what is left.
Clear input,Clear action,Clear output,Handed to software
Seen in E-commerce operations · DocPad · Intellishop
How could this help us?Launch is the start. Then we get it found, cited and bought: search, answer engines, paid and outbound, run as one programme against numbers you can see every week.
Found,Cited,Bought,Measured weekly
The product around the model, built to hold real customers: multi-tenant, billed, measured. Web, desktop and hardware.
Market-data pipelines, indicator engines and research tools for people who read markets. Tooling only, never returns.
The face of it and the first impression: identity, marketing site, product UI and the launch film.
Chapter 03 · Under the hood
Every AI system we build follows patterns proven in production on an enterprise AI platform, built new in your cloud for each client.
Your data Documents, CRM, orders, tickets, calls. Read where it lives.
Ingest and retrieval Chunking, embeddings and a semantic graph for matching.
Agent runtime Typed tool contracts, step limits, checkpoints. to confirm
Evals and guardrails Run on every change. A claim the model cannot cite is downgraded. to confirm
Model gateway Any model, tiered access, routed by eval score and cost. to confirm
Observability Traces, budgets per tenant, a kill switch. to confirm
Deliverables Decks, video, live sites, voice, outbound.
Your cloud Your accounts, your keys. Assigned to you on payment.
400+models through one gateway at ideasIQ
each dot is a model
In production at ideasIQ · built by our founder as Head of AI Engineering
Chapter 04 · Method
Every build starts with the paid AI Sprint, so you know exactly what you are buying before you buy it. We never automate a broken process.
Interviews, a map of the repetitive work, a working prototype on your data and a fixed quote for the build.
Map the workflow, remove the steps that should not exist, simplify. Product, brand and architecture drawn together.
Working software in your repos as we build, and a written update every week.
Product, site, analytics and first campaigns go live together.
Search, answer engines, paid and outbound, run against numbers you can see.
Chapter 05 · Engagements
Start with the Sprint. Exact quotes follow it, in writing, before anything else starts. Priced by scope or by the month, never on a timesheet.
Two weeks · Start here
$7,500fixed fee
Best part: the Sprint leads straight into the build, and you keep everything we make to confirm.
Book a SprintFixed scope
from $25,000per build
Best part: a fixed quote, working software in your repos as we go, and all of it assigned to you on payment.
Plan a launchMonthly
from $8,000a month
Best part: an engineering pod that keeps shipping after launch, led by the people who built it.
Add a podMonthly
from $6,000a month
Best part: search, answer engines, paid and outbound as one programme, with numbers you can see every week.
Start growingA few days a week
from $8,000a month
Best part: an AI lead a few days a week, without the full-time hire.
Talk it throughThe Sprint is a fixed fee; every other price is a floor, in US dollars. Your exact quote comes out of the Sprint, in writing, before anything else starts.
Chapter 06 · Studio
Founder
An engineer who runs AI in production, leading every build, with specialists brought in for each project.
Nexerah is led by Naman Bhayana, Head of AI Engineering at ideasIQ. Since 2023 he has shipped sixteen products across enterprise AI, fintech, healthcare, e-commerce and industrial hardware.
01 · Contracts
A master services agreement, statements of work, a mutual NDA and a data processing agreement, ready to sign.
02 · Ownership
Code, designs, accounts and intellectual property made for you are assigned to you on payment. Open source and pre-existing tools keep their own licences.
03 · Data
We build in your cloud, under your keys. Your data never trains or fine-tunes a model you have not approved.
04 · Price
The Sprint fee is published. Everything after it is quoted in writing, with the scope it covers, before it starts.
05 · Hours
US, EU and AU working hours from New Delhi, with a written update every week of an engagement.
06 · Reply
Every brief gets a written answer within one business day, with questions or a time to talk.
Insights · three to start
Nexerah Labs. Our own products, in development. Leave an email and hear first, once, when there is something to try to confirm.
Chapter 07 · Start a project
Two minutes to brief us. We reply within one business day, with questions or a time to talk.
Or write to us
naman@nexerah.comPrefer to talk it through? Say so in the brief and we will set a time.
Rather talk it through now? The AI guide writes the brief with you.Two minutes. The problem, what you use today, what done looks like.
With questions, or a time to talk it through.
Two weeks later you hold a prototype on your data and a fixed quote for the build.
