AI SaaS products, designed and built end to end

We design, build and launch complete software products with AI at the core — multi-tenant architecture, dashboards, subscriptions and billing, and the infrastructure to run them. RecruitKar, Vzoq and Rezume were all built this way.

RecruitKar platform overview page
Use cases

Where it makes the biggest difference

New AI SaaS products & MVPs

From idea to a launched product that real customers pay for.

Multi-tenant platforms

Role-based access, with every client’s data kept separate.

Client portals & dashboards

Self-serve portals, reporting and admin tools your team can run.

Subscriptions, credits & payments

Plans, usage credits, invoices and secure checkout.

White-label editions

One codebase, branded and deployed for partners.

AI features in existing products

Scoring, search, generation and assistants added to what you already run.

How it works

How we take it from idea to live

Step 1

Scope the product

Users, core flows, must-haves and launch criteria.

Step 2

Architecture & design

Data model, integrations, security and interface design.

Step 3

Build in milestones

Working software at every milestone, tested as we go.

Step 4

Launch & scale

Deployment, handover and a roadmap for what comes next.

Built with

We choose the platforms for your requirements. These are the ones we use most for this work.

  • Next.js
  • TypeScript
  • Node.js
  • FastAPI
  • PostgreSQL
  • Stripe
FAQ

Common questions

Popular in: Recruitment & HR, B2B sales, Education & careers

Do we own the code?

Yes. Code, infrastructure accounts and credentials are handed over to you.

How long does a build take?

It depends on scope. Most custom AI solutions take one to two months from discovery to deployment; larger platforms are delivered in milestones.

Can you add AI to our existing product?

Yes. We integrate models, retrieval and automation into existing codebases through their APIs.

Have a process that should run itself?

Book a 30-minute discovery call. We’ll look at the workflow with you and tell you honestly what AI can and can’t do for it.