DZone Technologies is in Faisalabad, Pakistan. We spend our time with B2B SaaS teams in the United States, the United Kingdom, Canada, and Australia.
Some of the teams we talk to need a new product. Others need one AI feature their customers can trust, inside the app they already pay for. When AI is in the work, keeping each customer’s data separate, having a way to test the answers, and putting a limit on cost are part of that feature. The code goes into your repository and runs in your cloud.
Day to day we work in Laravel or Node, React or Next, and Postgres. For retrieval we use pgvector, or Pinecone, Qdrant, or Weaviate if that fits the product better. Models are OpenAI, Anthropic, or Azure OpenAI. When a product needs a phone channel, we use Twilio and a realtime voice layer. If an action publishes, deletes, charges, or emails a list, a person confirms it.
The model is rarely the hard part. The hard part is keeping one customer’s data in the right account, keeping the bill predictable, and getting the feature out of a demo and into the product. You should also leave with the code. We write down how one tenant stays out of another, and we test it. We keep a handful of questions that have to keep passing before a release. The code is yours, it runs in your cloud, and the first feature has a written scope.
If you want to talk through a feature, we are easy to reach.
