Custom AI development and automation, put to work
AI agencyLiveIn production for clients, not in a pitch
We build AI into the software your business runs on: assistants that reply on WhatsApp and book meetings, calls transcribed and scored with coaching notes, content drafted in your brand voice, and forms that fill themselves from a document. Every model is wired into a real workflow, with a person approving what matters.
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Sample summary.
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What we build with AI
Assistants, call analysis and content tools, each running inside real software. The status beside every item is the honest one.
Intelligent automation, already running
AI where it helps, plain rules where they are enough. Each line is a real workflow for a real client, with its status.
- WhenA message arrives on WhatsApp or Telegram, the assistant replies on the same channel.Nonprofit · Live
- WhenSomeone asks for a meeting, it is booked on a free account from a pool of eight Zoom accounts.Nonprofit · Live
- WhenA school uploads its prospectus or pastes a link, the knowledge-base form fills itself, ready for a person to check.Admissions · Live
- WhenA recorded call is saved, it is transcribed and scored, with coaching notes for the counsellor.Admissions CRM · Built
- WhenA brand brief is uploaded, the studio drafts posts and ads in that brand voice, for approval.Marketing agency · Built
- WhenA Meta lead ad is submitted, the lead arrives in the CRM with its campaign, ad set and ad.Consultancy · Live
- WhenA new row lands in a lead sheet, the lead is created in the right CRM, every column mapped.Education group · Live
- WhenA job is published, Google's Indexing API is pinged and the website job list updates.Staffing agency · Live
Coaching note: answer fees before options.
Every call scored, in English and Telugu
Sales and admissions teams make more calls than any manager can listen to. Each recorded call is transcribed, scored against your own checklist and given coaching notes, so managers coach on facts instead of guesses.
In a self-hosted test with Whisper, Qwen3 and a Telugu speech model, a real Telugu call came back as a clean transcript and an 85 out of 100 scorecard. Self-hosting keeps the recordings on your own server.
Status: the cloud version is built and proven inside an admissions CRM. The self-hosted Telugu pipeline is in testing.
SaaS solutions we run
Alongside custom builds, we run our own software products, set up for each client and kept up to date by us. All products
How we add AI
The same five stations as every Nexoriv build, with the questions that matter for AI asked up front.
Analyse
We find the steps worth automating, and the ones that should stay with a person. You get it in writing.
ReceivedPlan
We choose the model and where it runs: a cloud API, or self-hosted on your server so the data stays with you.
PrepBuild
Wired into your CRM, inbox or app, with approvals where a mistake would cost you.
CookingVerify
Tested on your real calls, messages and documents, with a written note of what it gets wrong.
CheckRun
We host it, watch the running costs and change models when a better or cheaper one arrives.
Served
- Models
- Gemini · OpenAI · Anthropic · Whisper · Qwen3 on Ollama · Telugu speech model
- Channels
- WhatsApp · Telegram · Zoom · your CRM · your own app
- Built with
- Laravel · Vue · React · Flutter · Python · Node
- Runs on
- AWS · DigitalOcean · Hostinger · rented GPUs · or your own server
AI already at work
Organisations using AI we built, named by what they are, not who they are. All case files
AI and automation questions
Straight answers. If yours is not here, email us and we will get back to you.
What does Nexoriv do as an AI agency?
We build AI into working software: assistants on WhatsApp and Telegram, call transcription and scoring, content tools and automations, connected to the systems you already use. We are a software studio first, so the AI ships inside a product that is tested, hosted and looked after.
Which AI models do you use?
Gemini, OpenAI and Anthropic models through their APIs, and open models such as Whisper and Qwen3 that run on your own server or a rented GPU. We choose per task, on cost, speed and language.
Can it work in Telugu and other languages?
Telugu speech is tested on real calls: a Telugu speech model produced a clean transcript and an 85 out of 100 scorecard from a real call. Other languages are checked on your own samples during the analysis.
Will our data stay private?
Where it matters, models run self-hosted on your own server, so recordings and documents never leave it. Where a cloud API is used, we tell you which provider sees what before anything is switched on.
Will AI replace our staff?
It takes the repetitive work: first replies, note taking, scoring, drafting and data entry. Decisions and anything sensitive stay with a person, and approvals are built in where they matter.
Can you add AI to the software we already use?
Usually, yes. We have added AI to CRMs, a knowledge base, a learning platform and messaging channels. If your system has an API or a database we can reach, we can connect to it; this is checked during the analysis.
What does it cost?
We quote after a written analysis. Running costs depend on the model and how much you use it, so we estimate them for your volume before you commit.
Tell us what you want off your desk.
The repetitive work, the tools you use now and the languages your customers speak. A written analysis comes back before any quote.