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NOBBYO.

AI knowledge ops — copilot for non-technical operators.

BetaFounded 2024AI Startup
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What it does

The product, in plain language.

NOBBYO ingests a company's internal documents, conversations, and operational artifacts, and gives the team a chat interface that answers questions grounded in that knowledge. RAG done right, with a UI that doesn't need an engineer to set up.

The target user is the operations manager at a 10–50 person company who knows their team has the knowledge somewhere — in Slack, in old PDFs, in someone's head — but can't surface it when needed. NOBBYO is the surface.

How I built it

The story so far.

Built to solve our own problem first. NextBangla had 14 years of accumulated documents, project briefs, and Slack conversations. Search was useless; people pinged senior staff for the same answers repeatedly. We needed an internal tool, then realized the same problem affects every operationally complex SMB.

Key technical decisions: chunking strategy that respects document structure, retrieval ranking that uses recency + relevance, and a confidence threshold that returns 'I don't know' rather than a hallucination when the answer isn't in the corpus.

Where we are now

Today's state, with numbers where I have them.

Closed beta with 30+ companies across BD, UK, and the US. Use cases vary widely — onboarding, customer-support knowledge bases, and operational SOPs are the most common.

Pricing model is settling into a per-seat structure with a base platform fee. The unit economics work because compute cost has been dropping faster than feature growth has been adding.

Traction

30+Beta companies
92%Question answer rate (beta)
What's next

Roadmap.

Public launch in late Q3 2026. Multi-language support (mirror of Voxly's roadmap). Native integrations with Slack, Notion, and Google Workspace as the primary ingestion sources.

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Inspired by this build?

Let's build yours next.

If NOBBYO sparked an idea for your own AI product, the next step is a 15-minute discovery call.