AI inside your product
The capability your customers keep asking for, built against your own data and permission model, with an evaluation set so you can see when quality moves rather than guess.
- AI Agents
- Prompt Engineering
- Support Assistants
The AI feature
you keep
pushing to Q3.
We build it into your product instead. Vishvex works inside your repo and your cloud for a few weeks, ships the thing your customers keep asking for, and hands back the keys.
your-org / your-app
Open
feat(ai): ship the feature you kept pushing to Q3
vishvex wants to merge 31 commits into main
- D0docs: scope.md, fixed scope and price, quoted within 48h
- D3test(evals): 120 cases, baseline recorded
- D8feat(ai): first version behind a feature flag
- D12chore(rollout): flag on for 10% of users
- D14chore: CODEOWNERS set to @your-team, keys handed over
- Base
- main
- Reviewers
- Your team
- Scope
- Fixed
- Lock-in
- None
Illustrative timeline. Every project gets its own.
Trusted by
Nexbase — Platform build — backend, web app and email infrastructure.
Where teams usually bring us in
Most AI work gets stuck for the same reasons. These are the most common.
The feature that has been in the backlog for four sprints
Three customers asked for it. Both engineers are holding the core product together. It will slip again this month.
What shipsWe ship it inside your repo.
The demo works, but it cannot take money yet
Signup, billing, team invites and the empty dashboard on day one are still missing.
What shipsWe build the v1 customers can sign up for and pay for.
Onboarding still runs on a Notion checklist
Refunds live in a spreadsheet. The Monday report is rebuilt by hand every week.
What shipsWe turn the manual work into reliable workflows.
Your tools do not talk to each other
Stripe, the CRM and Slack each hold part of the picture, so someone copies data between them by hand.
What shipsWe connect them so the data moves on its own.
Support is slow because context is scattered
Agents dig through tickets, Slack, and the CRM before they can reply.
What shipsWe build a first-line support system with proper handoff and memory.
Outreach is still written one email at a time
Prospecting and personalisation take more hours than the team has.
What shipsWe build the system that finds, scores, and writes the first version.
Stuck on something else? Describe it. If we are not the right fit, we will say so on the first call.
What we build
Five outcomes, whether you are four people shipping a first product or forty maintaining several. Which tools get used underneath is our call to make and defend.
Product work that reaches production
A new product, a new module, or the rebuild that keeps slipping. Including the unglamorous states, from failed payments to seat invites, that decide whether real users stay.
- SaaS Development
- Web Development
Operations that run themselves
The manual work sitting between your systems: provisioning, reconciliation, escalations, the report somebody rebuilds every week. Automated so your team can still read and change it.
- Automation Workflows
- API Integrations
Systems you inherited
A codebase from a contractor, an acquisition, or the engineer who left. We get it deploying again, make it legible to the people who now own it, and write down what we found.
- Rescue & Refactor
- Migrations
Growth you can measure
- Performance Marketing
- Lead Generation
Acquisition reported against product events, activated accounts and pipeline, rather than impressions and clicks. Sits alongside the engineering work when you want both from one team.
Want something ready-scoped? See our service packages →
What shipped recently
01
AI lead generation + personalised email
A system that finds and qualifies prospects, then writes a relevant first email for each one.
How it works
- 01
Sourcing
Finds companies and contacts that fit
- 02
Qualification
Keeps only the ones worth writing to
- 03
AI personalisation
Writes from who they are and what the company does
- 04
Outreach
A personalised email to each prospect
- Lead Generation
- AI Personalisation
- Email Outreach
02
Real estate social + lead automation
End-to-end workflow that publishes across three accounts, handles DMs and comments, and qualifies leads before they reach the team.
How it works
- 01
Publishing
Posts go out across all three accounts
- 02
DMs & comments
Answered automatically
- 03
Lead qualification
AI chat separates buyers from browsers
- 04
Sales team
Only serious buyers reach them
- n8n
- Social Media Automation
- AI Chat
- Lead Qualification
03
AI-powered Shopify grocery store
Shoppers upload a photo of a handwritten list. AI recognises the items and adds them to the cart.
How it works
- 01
Photo upload
Shopper snaps their handwritten list
- 02
AI vision
Reads each item from the handwriting
- 03
Product match
Maps items to the store's catalogue
- 04
Cart
Products added, ready to check out
- Shopify
- AI Vision
- Handwriting Recognition
Something here look like your problem?
About Vishvex
One operator. Direct communication. Work happens inside your repo.
Vishvex is run by Vishnu Vardhan Nayak from Hyderabad.
You talk to the person who writes the code.
Engagements are deliberately small and scoped. If a piece of work will not move activation, retention, or engineering time, we say so during the first call instead of after the invoice.
Questions founders ask
Which companies has Vishvex worked with?
Vishvex's client work includes Nexbase (nex-base.com), a platform build covering the backend, web application and email infrastructure. Vishvex is a founder-led studio and takes a small number of engagements at a time, so the client list is deliberately short rather than a long logo wall.
What does an AI product studio do for a SaaS startup?
An AI product studio works as an embedded engineering team: it builds AI features directly into an existing SaaS product, automates the manual operations around it such as onboarding, support triage and reporting, and can build a billable MVP from scratch. Vishvex ships into the client's own codebase and infrastructure and hands over full ownership, rather than selling a subscription to a proprietary platform.
How is hiring an embedded AI team different from hiring an agency?
A typical agency builds a parallel system it continues to host and bill for. An embedded team ships into the client's existing repositories, cloud accounts and data model, so the work becomes part of the product rather than a dependency. At the end of a Vishvex engagement the client holds 100% of the code, workflows and admin credentials, with no vendor lock-in.
How much does it cost to add AI features to a SaaS product?
Vishvex quotes fixed scope after a free 30-minute call, priced on the number of product surfaces, workflows and third-party integrations involved rather than hourly. There is no monthly platform fee for the software itself because the client owns what is built. Quotes are available in USD, INR, EUR and GBP.
How long does it take to ship an AI feature into an existing product?
A single automation or integration typically ships in 5 to 7 days. An AI feature involving product surfaces, customer data and third-party integrations typically takes 3 to 4 weeks, with a working release inside the first 2 weeks and weekly iteration after that.
What is the difference between an AI agent and a chatbot?
A chatbot follows scripted rules and answers frequently asked questions. An AI agent uses a language model to reason about intent and then take real actions, such as querying a database, updating a CRM record or booking a meeting, without a hard-coded flow for every case. Vishvex builds agents wired into the product's own data and permission model.
Why use n8n instead of Zapier or Make for SaaS automation?
n8n is open-source, can be self-hosted, and is priced per workflow rather than per task. For a SaaS product running high automation volume this is typically far cheaper at the same throughput, and self-hosting keeps customer data inside the company's own infrastructure rather than a third-party SaaS.
Who owns the code, data and infrastructure after delivery?
The client owns all of it. Application code lives in the client's repositories, workflows run on the client's own n8n instance or cloud account with full admin credentials, and customer data never needs to pass through a Vishvex-controlled system.
Does Vishvex work with SaaS companies outside India?
Yes. Vishvex is based in Hyderabad, India, and works remotely with SaaS teams in the United States, United Kingdom, Canada, Australia and the European Union, with overlapping hours arranged per engagement.
Tell us what is stuck
Describe the piece of work that keeps slipping. You get a fixed scope and a quote within 48 hours — or a straight answer that it is not worth building.
Or see our service packages →Or reach us directly