Naaz AI Labs
ListedBangalore, India
Bangalore team that audits a company's workflows, then builds the automations, chatbots and agents on n8n and Make, with setup pricing published from INR 1 lakh.
About
Naaz AI Labs runs a four-step engagement: audit the workflows, design the system, build and integrate, then hand over with training. The builds are process automation, chatbots and LLM agents on n8n and Make, wired into CRM, email and reporting tools. Setup pricing is published: INR 1 lakh for one workflow, INR 3 to 5 lakh for three. The site names no client and carries no case study. The verifiable work is on GitHub. Between May and June 2026 the founder pushed 75 commits to a public fork of dograh, an open-source voice agent platform, adding Exotel telephony, WhatsApp as a channel, Indian language tiers and a workflow builder. The firm reports costs 40 to 60 percent below market.
Focus
Evidence on file
Independently verified, never paid placementPublic footprint
2- open source75 commits between 2026-05-21 and 2026-06-19 on a public fork of dograh-hq/dograh (5,030 stars, BSD-2-Clause), a self-hostable open-source voice agent platform. Python and TypeScript, 57 MB. Commits authored by GitHub account naazailabs-bit under the name Mohammed Rayhan. Work includes an Exotel telephony provider, WhatsApp as a third workflow channel with a CRM inbox, Google Calendar OAuth booking, per-call cost accounting in INR, a no-code workflow builder, org RBAC and an embeddable widget. Nothing is merged upstream and the fork has 0 stars, so this is their own product build on an open-source base rather than a contribution to the project.
- open source2 public deployment repos created 2026-07-13, one Vite/React TypeScript (313 MB) and one Next.js (173 MB). Both carry unedited scaffold READMEs, so they show delivery activity rather than craft.
Who you’d work with
